Digital Health Market Size to surpass $379 Bn By 2024 MarketWatch 20181205
Digital Health Market Size to surpass $379 Bn By 2024 Published: Dec 5, 2018 3:02 a.m. ET Dec 05, 2018 (Heraldkeeper via COMTEX) -- Digital Health Market size is set to exceed USD 379 billion by 2024; according to a new research report by Global Market Insights. Increasing demand for remote monitoring services owing to rising incidences of chronic diseases worldwide is a major factor propelling digital health market growth over the forecast period. Remote monitoring uses technology to monitor changes in health of patients suffering from chronic diseases such as Chronic Obstructive Pulmonary Disease (COPD) outside the healthcare settings. Such factors will augment digital health market size.
#hc  #marketsize  #projections  #stats  @GMI 
3 minutes ago
Burtch Works Data Science & Analytics Recruitment Agencies
Overview Pinpoint placement of highly qualified quantitative and marketing research professionals. Big Data. Web Analytics. Data Science. Marketing Research. Risk Analytics. Direct Marketing.
#analytics  #bigdata  #datascience  #searchfirm  #jobs  #careers  #salaries  #trends  #source  @BurtchWorks 
1 hour ago
The CIO's Guide to Artificial Intelligence Gartner 20180102
The CIO’s Guide to Artificial Intelligence January 2, 2018 Contributor: Kasey Panetta DIGITAL BUSINESS CIOs can separate AI hype from reality by considering these areas of risk and opportunity. When a company realized that up to 30% of calls it received were from customers asking about order status, its leadership wanted to know if artificial intelligence (AI) would be able to help manage the interactions. The short answer was yes, a virtual customer assistant could answer questions ranging from “Where is my order” to “How long will I have to wait?” But the bigger question was if AI could help the company in even more impactful ways. “Look at how you are using technology today during critical interactions with customers — business moments — and consider how the value of that moment could be increased,” says Whit Andrews, vice president and distinguished analyst at Gartner. “Then apply AI to those points for additional business value.” “AI allows companies to collect data from a wide variety of places and apply self-improving analysis that can take action” For example, the interaction between company and consumer provides data about the customer. When combining information with other data about that particular customer (i.e., they order X amount of Y products every Z weeks), the company can use AI to further enrich the relationship beyond that interactio
#ai  #advice  #applications  #strategy  #2018  #CIO  @Gartner 
3 hours ago
Hustle Enterprise texting platform
The way we communicate has changed. Change with it. Hustle’s texting platform lets you connect personally through the most effective channel.
#engagement  #customers  #texting  #SMS  #campaigns  #channels  #vendor  @Hustle 
9 hours ago
Sizing the prize PwC’s Global Artificial Intelligence Study 2018
Sizing the prize PwC’s Global Artificial Intelligence Study: Exploiting the AI Revolution What’s the real value of AI for your business and how can you capitalise?
#ai  #economic  #impact  #verticals  @PwC 
9 hours ago
The Economic Value of Artificial Intelligence WSJ 20181026
The Economic Value of Artificial Intelligence A fully automated, AI-enabled self-service kiosk sits in Tokyo's Akabane Station, Oct. 19, 2018. PHOTO: RODRIGO REYES MARIN/ZUMA PRESS By Irving Wladawsky-Berger Oct 26, 2018 11:41 am ET 6 COMMENTS Companies slow to adopt AI-based productivity improvements be warned: Artificial intelligence is the biggest commercial opportunity for companies, industries and nations over the next few decades, according to a recent report from PwC. AI advances will increase global GDP by up to 14% between now and 2030, the equivalent of an additional $15.7 trillion contribution to the world’s economy. If PwC's predictions prove to be true, AI latecomers will find themselves at a serious competitive disadvantage within the next several years. In the near term, around $6.6 trillion of the expected GDP growth will come from productivity gains, such as the continued automation of routine tasks. Over time, increased consumer demand for AI-enhanced offerings will overtake productivity gains and result in an additional $9.1 trillion of GDP growth by 2030. But that's not all. Network effects will further increase consumer demand. AI front-runners will gain an enormous competitive advantage through their ability to leverage this rich supply of customer data to shape product developments and business models, making it harder for slower moving competitors to catch up.
#ai  #impact  #verticals  @PwC  #report 
9 hours ago
Wearables Hold the Key to Connected Health Monitoring Gartner 20180308
Wearables Hold the Key to Connected Health Monitoring March 8, 2018 Contributor: Christy Pettey DIGITAL BUSINESS Data from wearables is gaining acceptance in healthcare communities. Whether privately or publicly funded, there’s no getting away from the rising costs of healthcare. It’s little wonder then that those charged with footing the bill — be they employers, government or individuals — are increasingly looking at technology solutions to help them better manage those costs. Gartner predicts that, by the end of 2020, 40% of large health systems will shift from digital health pilot programs to full-scale rollouts, up from less than 5% in 2017. According to Alan Antin, research director at Gartner, personal technology solutions can help healthcare providers achieve three crucial goals: Improve the health of populations Reduce the per capita cost of healthcare Improve the patient experience “At the same time, artificial intelligence (AI) and voice technology are increasing the accessibility of consumer-grade wearable devices, encouraging adoption and making it possible to better serve those in patient-centric healthcare systems,” says Antin.
#hc  #wearables  #trends  #predictions  @Gartner 
10 hours ago
Top 10 Strategic Technology Trends for 2019 20181015
Top 10 Strategic Technology Trends for 2019 in Published: 15 October 2018 ID: G00374252 Analyst(s): David Cearley | Brian Burke Already have a Gartner account? Sign in to view this research document. Enter Username Enter Password SIGN IN Forgot username or password? New to Gartner? Register with us for FREE access to this research document. REGISTER NOW Summary Strategic technology trends have the potential to drive significant disruption and deliver significant opportunity. Enterprise architecture and technology innovation leaders must evaluate these top trends to identify opportunities
#tech  #analytics  #trends  #predictions  @Gartner 
11 hours ago
DATAx Guide To AI And Machine Learning Trends In 2019
DATAx Guide To AI And Machine Learning Trends In 2019 Insight and analysis on AI and machine learning applications in banking, healthcare, marketing and more First Name Last Name Work Email Phone Title Company I am an EU resident Download eBook In recent years, artificial intelligence (AI) and machine learning (ML) have moved into the mainstream, leaving R&D behind to become essential parts of fully functioning businesses. Among those professions embracing the AI and ML revolution are banking, pharmaceuticals and marketing – all of which are among the most enthusiastic adopters. In this ebook, we look at the trends set to take the ML and AI world by storm in 2019, as well as offering practical AI and ML advice for practitioners from across a broad range of industries. We also take a broader look at the ever-changing role of the chief data officer (CDO). Key topics and features in this ebook: •    Why marketers should embrace automated data solutions •    Using AI and machine learning to enhance customer satisfaction •    How chief data officers are taking the reins on AI strategy •    Successful case studies from across the business world To read about the latest AI and ML developments, download your free copy of DATAx Guide To AI and Machine Learning Trends in 2019.
#ai  #analytics  #trends  #2019  @DataX 
yesterday
Propeller Health acquired by ResMed for $225M FierceHealthcare 20181203
Dec 3, 2018 11:35am
Unknown author
Propeller Health acquired by ResMed for $225M
A Wisconsin-based startup that makes digital inhalers has been purchased by medical device giant ResMed for $225 million.

Propeller Health, which bills itself as the “leading digital therapeutics company” created a digital inhaler to help patients with chronic obstructive pulmonary disease (COPD), a disease that impacts 16 million Americans.

ResMed CEO Mick Farrell called the purchase a “significant step for ResMed towards becoming the global leader in digital health for COPD.” ResMed has manufactured more than 6 million cloud-connected remote monitoring devices, with a focus on sleep apnea and respiratory illnesses.

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The companies expect to finalize the deal by the end of March.

“ResMed shares our belief that connected health solutions create vastly better experiences and outcomes for people with chronic respiratory disease,” David Van Sickle, co-founder and CEO of Propeller said in a statement. “Joining forces enables us to accelerate the adoption of Propeller’s solutions at a global scale, and serve as a powerful platform for a broad set of pharmaceutical and healthcare partners.”

Propeller Health has partnered with insurers like Anthem Blue Cross Blue Shield of Ohio to test out whether the device can reduce emergency department admissions by alerting care managers if a patient is taking too many rescue breaths.

RELATED: ResMed buys post-acute care EHR MatrixCare for $750M

The company has also worked on similar initiatives with Dignity Health, which reduced hospitalizations by 79% using the digital intervention.
#hc  #startup  #M&A  #vc  #funding  #COPD  #2018  +PropellerHealth  +ResMed 
4 days ago
Thinkmap Visual Thesaurus - An online thesaurus and dictionary of over 145,000 words that you explore using an interactive map.
Visual Thesaurus?
The Visual Thesaurus is an interactive dictionary and thesaurus which creates word maps that blossom with meanings and branch to related words. Its innovative display encourages exploration and learning. You'll understand language in a powerful new way.

Say you have a meaning in mind, like "happy." The VT helps you find related words, from "cheerful" to "euphoric." The best part is the VT works like your brain, not a paper-bound book. You'll want to explore just to see what might happen. You'll discover -- and learn -- naturally and intuitively. You'll find the right word, write more descriptively, free associate -- and gain a more precise understanding of the English language.
5 days ago
Delivering What Consumers Really Value Eric Almquist Bain 20181010
Delivering What Consumers Really Value Excelling on the Elements of Value® leads to revenue and market share growth. By By Eric Almquist, Grace Wynn, Jamie Cleghorn and Lori Sherer October 10, 2018 12 min read
#eov  @Bain  #brandequity  #impact 
5 days ago
Intelligent process automation: The engine at the core of the next-generation operating model McKinsey 201703
Intelligent process automation: The engine at the core of the next-generation operating model By Federico Berruti, Graeme Nixon, Giambattista Taglioni, and Rob Whiteman Article Actions Share this article on LinkedIn Share this article on Twitter Share this article on Facebook Email this article Print this article Download this article Full intelligent process automation comprises five key technologies. Here’s how to use them to enhance productivity and efficiency, reduce operational risks, and improve customer experiences. Since the financial crisis of 2007–09, many companies have applied lean management to improve cost efficiencies, customer satisfaction, and employee engagement simultaneously, and many programs have achieved substantial impact on all dimensions. Progress on digital, however, has been more uneven. In the insurance sector, for example, an October 2016 FIS study found that 99.6 percent of insurers surveyed admitted they face obstacles in implementing digital innovation, while 80 percent recognize they need digital capabilities to meet business challenges. This difficulty has been compounded by the boom in “insurtech” investments in 2016—topping $3.5 billion in funding across 111 deals since 2015. As macroeconomic conditions continue to put pressure on profit margins across sectors, cost productivity and unlocking new value are back at the top of the senior-management agenda. The question is, what else can be done? That’s where intelligent process automation (IPA) comes in. We believe it will be a core part of companies’ next-generation operating models. Many companies across industries have been experimenting with IPA, with impressive results: Automation of 50 to 70 percent of tasks . . . . . . which has translated into 20 to 35 percent annual run-rate cost efficiencies . . . . . . and a reduction in straight-through process time of 50 to 60 percent . . . . . . with return on investments most often in triple-digit percentages. New technologies that promise double-digit or even triple-digit same-year returns should rightfully be viewed with skepticism. But our experience shows that the promise of IPA is real if executives carefully consider and understand the drivers of opportunity and incorporate them effectively with the other approaches and capabilities that drive the next-generation operating model. (For more on these approaches and capabilities, please read “The next-generation operating model for the digital world.”) What is intelligent p
#automation  #rpa  #ia  #innovation  #enterprise  #advice  @McKinsey 
5 days ago
The next-generation operating model for the digital world McKinsey 201703
The next-generation operating model for the digital world By Albert Bollard, Elixabete Larrea, Alex Singla, and Rohit Sood Article Actions Share this article on LinkedIn Share this article on Twitter Share this article on Facebook Email this article Print this article Download this article Companies need to increase revenues, lower costs, and delight customers. Doing that requires reinventing the operating model. Companies know where they want to go. They want to be more agile, quicker to react, and more effective. They want to deliver great customer experiences, take advantage of new technologies to cut costs, improve quality and transparency, and build value. The problem is that while most companies are trying to get better, the results tend to fall short: one-off initiatives in separate units that don’t have a big enterprise-wide impact; adoption of the improvement method of the day, which almost invariably yields disappointing results; and programs that provide temporary gains but aren’t sustainable. We have found that for companies to build value and provide compelling customer experiences at lower cost, they need to commit to a next-generation operating model. This operating model is a new way of running the organization that combines digital technologies and operations capabilities in an integrated, well-sequenced way to achieve step-change improvements in revenue, customer experience, and cost. A simple way to visualize this operating model is to think of it as having two parts, each requiring companies to adopt major changes in the way they work: The first part involves a shift from running uncoordinated efforts within siloes to launching an integrated operational-improvement program organized around customer journeys (the set of interactions a customer has with a company when making a purchase or receiving services) as well as the internal journeys (end-to-end processes inside the company). Examples of customer journeys include a homeowner filing an insurance claim, a cable-TV subscriber signing up for a premium channel, or a shopper looking to buy a gift online. Examples of internal-process journeys include Order-to-Cash or Record-to-Report. The second part is a shift from using individual technologies, operations capabilities, and approaches in a piecemeal manner inside siloes to applying them to journeys in combination and in the right sequence to achieve compound impact.
#digital  #strategy  #operations  #enterprise  #deployment  @McKinsey 
5 days ago
Ready, Set, Fail - Avoiding setbacks in the intelligent automation race KPMG 2018
Ready, Set, Fail?: Avoiding setbacks in the intelligent automation race New study reveals most organizations’ low readiness to deploy artificial intelligence technologies
Executives have high expectations for the impact of intelligent automation, but they're not yet ready to implement it from the top down and at scale. They'll struggle to get adequate ROI until they recognize two critical issues: 1) intelligent automation investment decisions need to be C-level strategy imperatives, 2) intelligent automation is about business and operating model transformation not simply technology deployment.

It's not clear whether most companies understand that intelligent automation is about changing business processes, and then restructuring the organization around those new processes now driven by technologies that didn't exist before. This means shifting the business and operating model from one of people supported by technology to one of technology supported by people. It's a digital-first operating model.

KPMG recently undertook a study to understand the reasons for and implications of deploying IA and what it takes to scale. KPMG professionals interviewed executives from numerous industries and geographies worldwide about their experiences with deployment and their perspectives on the future. Most emphasized that IA is poised to digitally transform their companies and industries and profoundly impact their employees' roles.

At the same time, executives highlighted several challenges. In addition to grappling with the extraordinary pace of change, they are faced with understanding and choosing among hundreds of technology options, the need for effective data and analytics, prioritizing automation focus, and defining their future workforce. KPMG research considered three main areas of intelligent automation -- basic or robotic process automation (RPA), enhanced automation and cognitive automation.
#ai  #ia  #status  #outlook  #strategy  #advice  #recommendations  @KPMG  #2018 
6 days ago
Global RPA Survey 2018 Deloitte
Deloitte Global RPA Survey   Deloitte's third annual RPA Survey.   Over the past year, there has been intensifying interest in robotics and in the application of cognitive and artificial intelligence technologies, both in the media and on the conference circuit. Robotic process automation (RPA) is already delivering value, and early movers in shared services and other administrative organizations are achieving significant benefits, which are highlighted in Deloitte's third annual RPA Survey.   Key findings of Deloitte Global RPA Survey: 53% of respondents have already started their RPA journey. This is expected to increase to 72% in the next two years. If this continues at its current level, RPA will have achieved near-universal adoption within the next five years. The benefits of RPA adoption are significant. Payback was reported at less than 12 months, with an average 20% of full-time equivalent (FTE) capacity provided by robots. RPA continues to meet and exceed expectations across multiple dimensions including: improved compliance (92%), improved quality / accuracy (90%), improved productivity (86%), cost reduction (59%). 78% of those who have already implemented RPA expect to significantly increase investment in RPA over the next three years,  yet scaling RPA is clearly proving more difficult than anticipated: only 3% of organizations have scaled their digital workforce.
#rpa  #status  #outlook  #deployment  #survey  @Deloitte 
6 days ago
The Forrester Wave™ Report: Robotic Process Automation 201805
The Forrester Wave™ Report: Robotic Process Automation, Q2 2018 In this independent research study on the top 15 robotic process automation vendors, you will learn why Forrester ranked Kofax as a Strong Performer in terms of strategy, current offering and market presence.
#rpa  #analyst  #report  @Forrester  #2018  +  Kofax 
6 days ago
Skill Shift - Automation and the workforce of the future Report McKinsey 201805
Skill shift: Automation and the future of the workforce By Jacques Bughin, Eric Hazan, Susan Lund, Peter Dahlström, Anna Wiesinger, and Amresh Subramaniam Executive Summary (PDF–613KB) Discussion Paper (PDF–2MB) Skill shift: Automation and the future of the workforce Article Actions Share this article on LinkedIn Share this article on Twitter Share this article on Facebook Email this article Print this article Demand for technological, social and emotional, and higher cognitive skills will rise by 2030. How will workers and organizations adapt? Skill shifts have accompanied the introduction of new technologies in the workplace since at least the Industrial Revolution, but adoption of automation and artificial intelligence (AI) will mark an acceleration over the shifts of even the recent past. The need for some skills, such as technological as well as social and emotional skills, will rise, even as the demand for others, including physical and manual skills, will fall. These changes will require workers everywhere to deepen their existing skill sets or acquire new ones. Companies, too, will need to rethink how work is organized within their organizations. This briefing, part of our ongoing research on the impact of technology on the economy, business, and society, quantifies time spent on 25 core workplace skills today and in the future for five European countries—France, Germany, Italy, Spain, and the United Kingdom—and the United States and examines the implications of those shifts. How will demand for workforce skills change with automation? Shifting skill requirements in five sectors How will organizations adapt? Building the workforce of the future
#ai  #automation  #work  #skills  #employment  #report  @McKinsey  #2018 
6 days ago
The First Frontier for Medical AI Is the Pathology Lab IEEE Spectrum 20181129
The First Frontier for Medical AI Is the Pathology Lab But before adopting startup PathAI’s tools, doctors must see if they are worth the cost. But before adopting startup PathAI’s tools, doctors must see if they are worth the cost
By Elie Dolgin
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This is how a pathologist could save your life.

Imagine you’re coughing up blood, and a chest scan reveals a suspicious mass in your lungs. A surgeon removes a small cylindrical sample from the potential tumor, and the pathologist places very thin slices of the tissue on glass slides. After preserving and staining the tissue, the pathologist peers through a microscope and sees that the cells have the telltale signs of lung cancer. You start treatment before the tumor spreads and grows.

And this is how a pathologist could kill you: The expert physician would just have to miss the cancer. Or, more likely, misclassify the cells viewed on the slides as the wrong cancer subtype. Rather than getting a targeted therapy that beats your cancer into remission, you receive conventional chemo that buys you a few more months of life.

An artificially intelligent pathologist probably wouldn’t make that mistake. Trained on vast troves of digitized slides showing an enormous variety of tumors, artificial-intelligence (AI) systems will likely provide more accurate diagnoses than human pathologists, at least on fairly rote diagnostic tasks. They may even pick up on subtle features that the best-trained human eyes could never see. In this crucial, high-stakes branch of medicine, AI tools may soon offer diagnoses—and treatment recommendations—that are as close to infallible as we’re likely to get in the foreseeable future. And they’ll do so in a matter of seconds.

Lately, dazzlingly high success rates for AI-based systems in recognizing the presence of certain specific illnesses have prompted speculation that such tools will replace doctors. But the developments in pathology show us a more likely outcome: that machines will make the ever-increasing complexity of modern medicine manageable for human beings. This human-machine combination will outperform what either could do individually. At first, the improvement will be small. But eventually, it will be great.

“The promise of machine learning is to augment what a pathologist can do alone,” says Ulysses Balis, director of the division of informatics at the University of Michigan’s pathology department and chief strategy officer of a digital pathology company called Inspirata. “These technologies allow the profession to scale with increased demand.”
#ai  #hc  #applications  #automation  #augmentation  #casestudy  #innovation  #vendor  #pathology  #A+  +PathAI 
6 days ago
In the Coming Automated Economy, People Will Work for AI IEEE Spectrum 20181118
In the Coming Automated Economy, People Will Work for AI A new role for humans: prepping data so AI can learn to do our jobs By Eliza Strickland Illustration: Alamy Advertisement Editor’s Picks Former Head of Google China Foresees an AI Crisis—and Proposes a Solution AI-Human Partnerships Tackle “Fake News” Interview: Max Tegmark on Superintelligent AI, Cosmic Apocalypse, and Life 3.0 In Texas, a company called Alegion is helping disabled veterans take part in the new digital economy. The vets’ job: preparing data so that an artificial intelligence (AI) system can learn from it.  “There’s a whole new industry sprouting on the shoulders of AI,” says Alegion CEO Nathaniel Gates in an interview with IEEE Spectrum. “We are employing people.” When people talk about AI, they’re often referring to software that gets very good at a particular task via a technique called deep learning. With this method, AI systems are given vast amounts of labeled data, and as they run through it, they learn to draw conclusions. For example, an AI tasked with classifying photos of animals would look at millions of images labeled cat, dog, hedgehog, and so forth, and would learn on its own which features define each animal. Getting a properly labeled data set, however, can be a real stumbling block for researchers and companies designing new AI systems.  The Texas vets are looking at aerial photographs and classifying each vehicle in the shot as car, pickup truck, semitruck, and so forth. Gates says they’re doing this task for a defense contractor, though he can’t say what kind of AI the company is training. But it’s easy to imagine intelligence analysts running smarter searches in an image database by asking an AI tool to identify all aerial images taken in location X with semitrucks in the frame.
#ai  #people  #jobs  #impact  #employment  #data 
6 days ago
Darrell West (@darrwest) | Twitter
Darrell West @darrwest VP @BrookingsGov & Director of Center for Technology Innovation @BrookingsInst. Author of Future of Work (2018), Megachange (2016), and Billionaires (2014). Washington, DC InsidePolitics.org Joined July 2009
#ai  #tl  #author  +Brookings  #automation  #impact  @DarrellWest 
6 days ago
The Future of Work: Robots, AI, and Automation ebook Darrell West 2018
Looking for ways to handle the transition to a digital economy Robots, artificial intelligence, and driverless cars are no longer things of the distant future. They are with us today and will become increasingly common in coming years, along with virtual reality and digital personal assistants. As these tools advance deeper into everyday use, they raise the question—how will they transform society, the economy, and politics? If companies need fewer workers due to automation and robotics, what happens to those who once held those jobs and don't have the skills for new jobs? And since many social benefits are delivered through jobs, how are people outside the workforce for a lengthy period of time going to earn a living and get health care and social benefits? Looking past today's headlines, political scientist and cultural observer Darrell M. West argues that society needs to rethink the concept of jobs, reconfigure the social contract, move toward a system of lifetime learning, and develop a new kind of politics that can deal with economic dislocations. With the U.S. governance system in shambles because of political polarization and hyper-partisanship, dealing creatively with the transition to a fully digital economy will vex political leaders and complicate the adoption of remedies that could ease the transition pain. It is imperative that we make major adjustments in how we think about work and the social contract in order to prevent society from spiraling out of control. This book presents a number of proposals to help people deal with the transition from an industrial to a digital economy. We must broaden the concept of employment to include volunteering and parenting and pay greater attention to the opportunities for leisure time. New forms of identity will be possible when the "job" no longer defines people's sense of personal meaning, and they engage in a broader range of activities. Workers will need help throughout their lifetimes to acquire new skills and develop new job capabilities. Political reforms will be necessary to reduce polarization and restore civility so there can be open and healthy debate about where responsibility lies for economic well-being. This book is an important contribution to a discussion about tomorrow—one that needs to take place today.
#ai  #automation  #impact  #outlook  #tl  @DarrellWest  +Brookings 
6 days ago
The Fourth Age: Smart Robots, Conscious Computers, and the Future of Humanity ebook Byron Reese 2018
The Fourth Age: Smart Robots, Conscious Computers, and the Future of Humanity Kindle Edition by Byron Reese (Author)

“The Fourth Age not only discusses what the rise of A.I. will mean for us, it also forces readers to challenge their preconceptions. And it manages to do all this in a way that is both entertaining and engaging.” —The New York Times

As we approach a great turning point in history when technology is poised to redefine what it means to be human, The Fourth Age offers fascinating insight into AI, robotics, and their extraordinary implications for our species.

In The Fourth Age, Byron Reese makes the case that technology has reshaped humanity just three times in history:

- 100,000 years ago, we harnessed fire, which led to language.

- 10,000 years ago, we developed agriculture, which led to cities and warfare.

- 5,000 years ago, we invented the wheel and writing, which lead to the nation state.

We are now on the doorstep of a fourth change brought about by two technologies: AI and robotics. The Fourth Age provides extraordinary background information on how we got to this point, and how—rather than what—we should think about the topics we’ll soon all be facing: machine consciousness, automation, employment, creative computers, radical life extension, artificial life, AI ethics, the future of warfare, superintelligence, and the implications of extreme prosperity.

By asking questions like “Are you a machine?” and “Could a computer feel anything?”, Reese leads you through a discussion along the cutting edge in robotics and AI, and, provides a framework by which we can all understand, discuss, and act on the issues of the Fourth Age, and how they’ll transform humanity.
#ai  #robotics  #automation  #impact  #book  @ByronReese  +GigaOm 
6 days ago
The Fourth Age: Smart Robots, Conscious Computers, and the Future of Humanity, Byron Reese, eBook - Amazon.com
The Fourth Age: Smart Robots, Conscious Computers, and the Future of Humanity Kindle Edition by Byron Reese (Author)
6 days ago
The Future of Work Book Darrell West 201805
The Future of Work Robots, AI, and Automation By Darrell M. WestMay 15, 2018

Looking for ways to handle the transition to a digital economy

Robots, artificial intelligence, and driverless cars are no longer things of the distant future. They are with us today and will become increasingly common in coming years, along with virtual reality and digital personal assistants.

As these tools advance deeper into everyday use, they raise the question—how will they transform society, the economy, and politics? If companies need fewer workers due to automation and robotics, what happens to those who once held those jobs and don’t have the skills for new jobs? And since many social benefits are delivered through jobs, how are people outside the workforce for a lengthy period of time going to earn a living and get health care and social benefits?

Looking past today’s headlines, political scientist and cultural observer Darrell M. West argues that society needs to rethink the concept of jobs, reconfigure the social contract, move toward a system of lifetime learning, and develop a new kind of politics that can deal with economic dislocations. With the U.S. governance system in shambles because of political polarization and hyper-partisanship, dealing creatively with the transition to a fully digital economy will vex political leaders and complicate the adoption of remedies that could ease the transition pain. It is imperative that we make major adjustments in how we think about work and the social contract in order to prevent society from spiraling out of control.

This book presents a number of proposals to help people deal with the transition from an industrial to a digital economy. We must broaden the concept of employment to include volunteering and parenting and pay greater attention to the opportunities for leisure time. New forms of identity will be possible when the “job” no longer defines people’s sense of personal meaning, and they engage in a broader range of activities. Workers will need help throughout their lifetimes to acquire new skills and develop new job capabilities. Political reforms will be necessary to reduce polarization and restore civility so there can be open and healthy debate about where responsibility lies for economic well-being.

This book is an important contribution to a discussion about tomorrow—one that needs to take place today.
#ai  #automation  #work  #tl  @DarrellWest 
6 days ago
WorkMarket 2020 In(Sight) Report: Automation and AI
Automation & AI: Exploring the Future of Work in America

Automation & AI:
The Future of Work
Will robots take our jobs? Can automation elevate work productivity? How will AI impact the workplace? We answer these questions in an exclusive new research report that explores how disruptive technologies are modernizing corporate productivity and workforce engagement.

The WorkMarket 2020 In(Sight) Report was developed in partnership with KRC Research, a global research consultancy, and Arun Sundararajan, a professor at NYU’s Stern School of Business and nationally recognized expert on the sharing economy.
#ai  #work  #automation 
6 days ago
Arun Sundararajan (@digitalarun) | Twitter
Arun SundararajanVerified account @digitalarun Professor, @NYUStern. Shaping our digital future. Author, 'The Sharing Economy' ªªhttp://s12y.com ºº Manhattan, NY stern.nyu.edu/faculty/bio/ar… Joined April 2010
#digital  #sharing  #economy  #professor  +NYU  #tl  #SME  #author 
6 days ago
2018 Ramping Up Retail Innovation RSR 201809
2018 Ramping Up Retail Innovation While retailers know that keeping up with consumer expectations on the customer-facing side of the business should help to increase top line sales, new operating efficiencies will be how retailers create profits. And it takes technology-enabled innovation to execute on both sides of the business. This begs some questions: how are retailers managing these changes? What do they see as their biggest challenges, and which technologies will help them to become innovation leaders? 103 retailers responded to our in-depth survey on this very topic. The resulting 21 data charts and 25 pages of analysis are available FOR FREE to all registered users.
#retail  #innovation  #trends  #stats  #survey 
6 days ago
The Difference between Robotic Process Automation and Artificial Intelligence | Robotic Process Automation | CFB Bots
The Difference between Robotic Process Automation and Artificial Intelligence April 9, 2018 | CFB Bots RPA is a software robot that mimics human actions, whereas AI is the simulation of human intelligence by machines. Many people often asked about the difference between Robotic Process Automation (RPA) and Artificial Intelligence (AI). Some even confused the two to be the same.   To make matters worse, many vendors are now brandying about terms like Intelligent Automation (IA) or Intelligence Process Automation (IPA).   For the uninitiated, all these jargon can be very confusing, and perhaps daunting.   To help you out, we have put together this blog post to highlight the key differences between RPA and AI, particularly in the context of process automation.   Let’s get going.
#rpa  #IA  #automation  #ai  @CFB-Bots 
7 days ago
The Long Tail of Robotic Process Automation CFB Bots 20181202
The Long Tail of Robotic Process Automation December 2, 2018 | CFB Bots How to scale Robotic Process Automation or RPA meaningfully within an enterprise? This is the billion dollar question on the minds of venture capitalists, RPA software vendors, service providers and enterprises alike.   In the 2006 book The Long Tail, author Chris Anderson presented a (then) novel business concept – that the future of business is selling less of more.   This business model quickly gained popularity among retailers, particularly e-Commerce retailers. For example, Amazon, which began life as an online book retailer, offers tens of millions of book titles on its website, many of them obscure ones. By comparison, a typical book superstore (where they still exist!) carry around 100,000 titles.   This concept has been successfully applied in other industries too. In digital marketing, marketers frequently talk about long-tail keywords as part of their Search Engine Optimization (SEO) strategy.   And in 2011, Forrester Research, in a paper commissioned by Blue Prism, introduced the concept of the long-tail of IT requirements. The key finding is that more than half of enterprise automation opportunities go unsupported, often due to factors such as lack of IT resources and rapid pace of change in business.
#rpa  #automation 
7 days ago
What's the Potential for Real-Time Analytics in Healthcare? RTInsights 20181128
What’s the Potential for Real-Time Analytics in Healthcare? By Perry Price | November 28, 2018 Save inShare As new tech like wearables and connected medical devices grows in use, how will real-time analytics impact healthcare deliverables? From ordering groceries online for delivery to using a virtual assistant to create a to-do list, employing connected devices to accomplish daily tasks more efficiently has quickly become the new standard — and the same is becoming true in other rapidly evolving industries. Healthcare, in particular, has experienced a vast amount of change in the last five years. For example, in the age of all things mobile, virtual visits and real-time patient scheduling are more popular since patient expectations are greater. With the rise of the internet of things (IoT) — estimated to reach 161 million devices in 2020 — wearables and connected medical devices have also grown in use and are providing care outside of the traditional four walls of a clinic. Now That Data is Being Collected, What’s Next? As healthcare organizations use more connected devices, electronic health records (EHRs) and virtual visits with patients, the influx of data is pouring in. Today, for many patients, that data continues to sit siloed in large data banks and does not improve their care until it’s been reviewed and filed away for an undetermined time in the future. More advanced technology, however, is turning wearable devices — merely consumer gadgets three to five years ago — into useful tools that can provide preventive care for patients, such as necklaces or bracelets that measure vital signs and can help diagnose conditions such as hypertension or asthma. See also: 3 ways AI can relieve the bloated healthcare system But what if patients were to call into a triage unit with nurses who have access to real-time data about their medical histories, as well as analytics that could guide those nurses to recommendations based on the data and real-time information flowing in throughout the call (or via text message)? That’s the future of patient care in an era marked by digital transformation.
#hc  #analytics  #real-time  #diagnostics 
7 days ago
Process Optimization: It’s About the Customer RTInsights 20181108
Process Optimization: It’s About the Customer By Biju Mathew | November 8, 2018 Save inShare For financial services firms, speeding up effective product delivery and customer service means deploying process automation strategies. Customer delight levels the playing field between financial institutions (FIs) and financial technology (fintech) companies. Customers increasingly expect near-instant, convenient, and personalized service in banking as in all things, and their demands are driving financial enterprises of all sizes to re-think paradigms that inspire customer loyalty. Half of the 749 business managers surveyed by Harvard Business Review Analytic Services noted that their overly complex processes were harming their ability to deliver customer satisfaction, stay strong against the competition, and innovate their business in the digital age. Fintechs constantly optimize the way they deliver to the customer as a central tenant of their eco-structure. To stay competitive, FIs must capture the customer request journey constantly—this means that processes have to be examined end-to-end, bottlenecks have to be identified and resolved, and tangible surges in productivity and service must be delivered. Looking past RPA When many corporations think about process streamlining, Robotic Process Automation (RPA) automatically comes to mind. For their part, FIs have made tangible inroads into digital banking by RPA to save costs of up to 40 percent. As per Gartner, by FY19, 50 percent of FIs will adopt RPA to focus on labor cost reduction. RPA, along with artificial intelligence and machine learning, has proven effective in automating certain well-defined tasks, completing them faster than traditional methods involving human interaction. A business case cited in a McKinsey article noted that one insurance organization was able to automate several tedious steps in processing premium advice notes, bringing the turnaround time of processing 500 notes down to 30 minutes from two days.
#rpa  #ai  #automation 
7 days ago
Aera CEO Laluyaux - AI, self-driving and why it's time to stop being excited by old enterprise software 'innovation' 20181005
Aera CEO Laluyaux – AI, self-driving and why it’s time to stop being excited by old enterprise software ‘innovation’ By Stuart Lauchlan October 5, 2018 SUMMARY: A catch-up with Frederick Laluyaux, CEO of Aera, covers a lot of ground. 0 Comments Frederic Laluyaux, CEO, Aera After starting work in the enterprise software world some two decades ago, Aera CEO Frederick Laluyaux came to a realisation a few years back: We were in the rat race where giving more data and more point solutions, that would be sitting on top of transactional systems, was just an unwinnable war. You know, we would be, ‘Here is more data, more tools, go and figure it out’. I realized years back that it was obvious that every three years we’d come up with a better incremental version of the last solution and I got tired of it. The complaint from users was that this was just “getting us to the wrong number faster”, he adds: There’s really no intelligence in what you do. You’re just removing pain, removing pain in the process, killing a spreadsheet with a better tool and so on and so forth. It became very clear to me that the next wave of change in in the enterprise world, was what I call Cognitive Automation. It’s automating how decisions are made and executed. That became possible when for the first time we’re able to combine three things that were not combinable before – complexity, transactional level volume and real time, collaboration. Until now it’s been a case of being able to do two out three, he says: I can build complex models and I can give you some real time calculation in minutes, but don’t ask me to work at a transactional level. If you want to work at a transactional level, I’m going to have to compromise either with the response time or this or that. You’d always end up with this conundrum.
#automation  #ai  #cognitive  #innovation  #enterprise  #A+ 
7 days ago
Closing the digital skills gap – more effort required 20180109
Closing the digital skills gap – more effort required By Janine Milne January 9, 2018 SUMMARY: Employers must up their game to attract, develop and keep digital talent, according to a new report by Capgemini and LinkedIn. 7 Comments Along with rising taxes and melting icecaps, a shortage of technology skills has become pretty much a fact of modern living. And the pace of the digital revolution is so extreme that it has inevitably made digital skills an even scarcer resource. That means organizations need to work harder to plug those skills gaps and equally to anticipate where new rifts may emerge. The war for digital talent is getting more brutal – and it’s not just an HR issue. The key question, highlighted by a recent global CapGemini and LinkedIn report, is, are we doing enough?  The short answer is, not by a long shot, as a snapshot of the findings below reveals: 54% of the 1,200 global respondents believed the digital talent gap is hampering digital transformation and competitiveness in their firms. 42% of employees describe their organization’s training as “useless and boring” and 52% prefer to learn through a massive open online course (MOOC) instead Soft digital skills (59%) such as being customer-focused and having a passion for learning are harder to come by than hard digital skills (51%). 29% of employees believe their skills are redundant now or will be in the next 1-2 years. 55% or respondents say they will move to another job if they feel their current employer is not doing enough to keep their digital skills current. 58% say they will gravitate towards companies that offer better digital skills development. What surprised Anouska Ramsay, talent director for Capgemini UK, most about the findings was not that there was a skills shortage (no HR professional is going to be shocked by that), but the way employees feel it’s up to them personally to take action:
#digital  #work  #impact  #training 
7 days ago
Automation and the workforce of the future McKinsey 201805
Skill shift: Automation and the future of the workforce By Jacques Bughin, Eric Hazan, Susan Lund, Peter Dahlström, Anna Wiesinger, and Amresh Subramaniam Executive Summary (PDF–613KB) Discussion Paper (PDF–2MB) Article Actions Share this article on LinkedIn Share this article on Twitter Share this article on Facebook Email this article Print this article Demand for technological, social and emotional, and higher cognitive skills will rise by 2030. How will workers and organizations adapt? Skill shifts have accompanied the introduction of new technologies in the workplace since at least the Industrial Revolution, but adoption of automation and artificial intelligence (AI) will mark an acceleration over the shifts of even the recent past. The need for some skills, such as technological as well as social and emotional skills, will rise, even as the demand for others, including physical and manual skills, will fall. These changes will require workers everywhere to deepen their existing skill sets or acquire new ones. Companies, too, will need to rethink how work is organized within their organizations. This briefing, part of our ongoing research on the impact of technology on the economy, business, and society, quantifies time spent on 25 core workplace skills today and in the future for five European countries—France, Germany, Italy, Spain, and the United Kingdom—and the United States and examines the implications of those shifts. How will demand for workforce skills change with automation? Shifting skill requirements in five sectors How will organizations adapt? Building the workforce of the future
#automation  #work  #impact 
7 days ago
McKinsey - the digital skills gap will get worse as cognitive automation intensifies 20180629
McKinsey – the digital skills gap will get worse as cognitive automation intensifies By Jon Reed June 29, 2018 SUMMARY: The IT skills shortage is a topic notorious for the inflation of hot air. But there is plenty to digest in a new McKinsey report on the impact of automation. The data prompts a digital skills wake up call – but are we up to the task? 1 Comments I’ve been making fun of the periodic “IT skills crisis” proclamations long before we launched diginomica five years ago. After a couple of decades, shouldn’t the sensationalism of a perpetual skills “crisis” give way to a more sober outlook? I’m cynical about the crisis language for two reasons: It fosters a misleading optimism for job seekers, who assume that investing in technical certifications will lead to immediate employment. Bottom-feeding pseudo-training companies exploit this hope. The so-called skills crisis is usually accompanied by proclamations from companies about talent shortages, when in fact the real problem is a lack of imagination in skills development, retraining, and sourcing from excluded populations who are deserving and capable. At diginomica, we’ve tried to bring clarity to the talent crisis hyperbole via digital skills analysis, and an editorial focus on workplace diversity initiatives. But in the face of AI and automation, the digital skills debate won’t go away.
#cognitive  #ai  #digital  #work  #impact  +McKinsey 
7 days ago
PwC says its Digital Accelerators will future-proof the workplace - here's why 20181016
PwC says its Digital Accelerators will future-proof the workplace – here’s why By Barb Mosher Zinck October 16, 2018 SUMMARY: The PwC Digital Accelerator program is part of an ambitious digital skills initiative that will touch all 50,000 of PwC’s employees. So how well is it working so far? Barb Mosher Zinck talked to a program designer – and one of its first trainees. 0 Comments PwC’s Digital Accelerator program is an internal program that takes groups of employees out of their day jobs and puts them through a two-year immersive training program that teaches them skills in technology such as automation, machine learning, design thinking, and digital storytelling. The reason? To give their workers the skills they and PwC need to compete in this ever-changing digital landscape. I first heard about the Digital Accelerator program earlier this year. Now that it’s a few months in, I thought I would find out more about the program and how it’s working. I spoke with Sarah McEneaney, PwC’s Digital Talent Leader.
#digital  #analytics  #catalysts  #training 
7 days ago
Know What Your Customers Want Before They Do HBR 201112
Know What Your Customers Want Before They Do Thomas H. DavenportLeandro DalleMuleJohn Lucker FROM THE DECEMBER 2011 ISSUE SUMMARY SAVE SHARE COMMENT TEXT SIZE PRINT PDF 8.95 BUY COPIES VIEW MORE FROM THE December 2011 Issue EXPLORE THE ARCHIVE RECOMMENDED The Latest Research: AI and Machine Learning TECHNOLOGY & OPERATIONS PRESS TOOLKIT 49.95 ADD TO CART HBR's 10 Must Reads 2019: The Definitive... LEADERSHIP & MANAGING PEOPLE BUNDLES 34.95 ADD TO CART Mental Toughness Collection LEADERSHIP & MANAGING PEOPLE BUNDLES 59.00 ADD TO CART PHOTOGRAPHY: RACHEL PERRY WELTY AND YANCEY RICHARDSON GALLERY, NY ARTWORK: RACHEL PERRY WELTY, LOST IN MY LIFE (PLAYMOBIL), 2010, PIGMENT PRINT Shoppers once relied on a familiar salesperson—such as the proprietor of their neighborhood general store—to help them find just what they wanted. Drawing on what he knew or could quickly deduce about the customer, he would locate the perfect product and, often, suggest additional items the customer hadn’t even thought of. It’s a quaint scenario. Today’s distracted consumers, bombarded with information and options, often struggle to find the products or services that will best meet their needs. The shorthanded and often poorly informed floor staff at many retailing sites can’t begin to replicate the personal touch that shoppers once depended on—and consumers are still largely on their own when they shop online.
#cx  #analytics  #personalization  @TomDavenport 
7 days ago
Stop Trying to Delight Your Customers HBR 201007
Stop Trying to Delight Your Customers Matthew DixonKaren FreemanNicholas Toman FROM THE JULY–AUGUST 2010 ISSUE SUMMARY SAVE SHARE COMMENT TEXT SIZE PRINT PDF 8.95 BUY COPIES VIEW MORE FROM THE July–August 2010 Issue EXPLORE THE ARCHIVE RECOMMENDED The Latest Research: AI and Machine Learning TECHNOLOGY & OPERATIONS PRESS TOOLKIT 49.95 ADD TO CART HBR's 10 Must Reads 2019: The Definitive... LEADERSHIP & MANAGING PEOPLE BUNDLES 34.95 ADD TO CART Mental Toughness Collection LEADERSHIP & MANAGING PEOPLE BUNDLES 59.00 ADD TO CART The idea that companies must “delight” their customers has become so entrenched that managers rarely examine it. But ask yourself this: How often does someone patronize a company specifically because of its over-the-top service? You can probably think of a few examples, such as the traveler who makes a point of returning to a hotel that has a particularly attentive staff. But you probably can’t come up with many. Now ask yourself: How often do consumers cut companies loose because of terrible service? All the time. They exact revenge on airlines that lose their bags, cable providers whose technicians keep them waiting, cellular companies whose reps put them on permanent hold, and dry cleaners who don’t understand what “rush order” means. Obstacles All Too Common READ MORE Consumers’ impulse to punish bad service—at least more readily than to reward delightful service—plays out dramatically in both phone-based and self-service interactions, which are most companies’ largest customer service channels. In those settings, our research shows, loyalty has a lot more to do with how well companies deliver on their basic, even plain-vanilla promises than on how dazzling the service experience might be. Yet most companies have failed to realize this and pay dearly in terms of wasted investments and lost customers.
#cx  #cs  #engagement  #friction 
7 days ago
The Effortless Experience: Conquering the New Battleground for Customer Loyalty: Matthew Dixon, Nick Toman, Rick DeLisi: 9781591845812: Amazon.com: Books
The Effortless Experience: Conquering the New Battleground for Customer Loyalty Hardcover – September 12, 2013
#cx  #book 
7 days ago
Customer experience - it's not about being great, it's about being effortless 20160401
Customer experience – it’s not about being great, it’s about being effortless By Barb Mosher Zinck April 1, 2016 SUMMARY: “Stop trying to delight your customers” is not the mantra we expect to hear. Barb Mosher Zinck’s recent interviews led her towards a different goal: the effortless experience. The customer retention data is surprising. 4 Comments When everyone talks about delivering great customer experiences, they talk about how to you need to go above and beyond customer expectations, you have to leave them in awe of your ability to “surprise” and “delight” them. This need to wow is what many think drives customer loyalty. But the reality may just be totally different. That’s the perspective that Matthew Dixon has in an HBR article, Stop Trying to Delight Your Customers (it’s also the premise of his book Effortless Experience: Conquering the New Battleground for Customer Loyalty). Dixon’s book was released in 2013, and his studies are based on customer service. This is not a new conversation, or a new way of thinking that organizations need to get on board with. It’s also not a line of thinking that is only related to customer care. The idea of making things effortless can be applied to all aspects of business, from customer acquisition all th
#cx  #friction  #engagement 
7 days ago
SAP McDermott - "We are going to rebrand the whole CRM category!" 20180425
SAP McDermott – “We are going to rebrand the whole CRM category!” By Stuart Lauchlan April 25, 2018 SUMMARY+: Some thinly-disguised sabre-rattling in Salesforce’s direction from SAP CEO Bill McDermott as he pitches plans to own the CRM market. 0 Comments Bill McDermott Good news, not so good news from SAP. Good – cloud revenue has broken the €1 billion barrier for the first time in the latest quarter. Not so good – overall revenues dipped, from €5.285 billion for Q1 last year compared to €5.261 billion this year. It was to that psychologically-important one billion cloud breakthrough that CEO Bill McDermott was quick to point to in the post results announcement analyst con call: This is the first quarter that the cloud revenue in our company has crossed the €1 billion threshold. Cloud bookings grew by 25% on top of an exceptionally strong prior year growth of almost 50%. This is a robust result and we expect strong bookings growth over the course of the year in-line with our cloud ambition.
#cx  #SAP  #strategy  #CRM  #engagement  #end-to-end 
7 days ago
SAP and Qualtrics - how might this work and what are the barriers 20181119
SAP and Qualtrics – how might this work and what are the barriers? By Den Howlett November 19, 2018 SUMMARY: A week following SAP’s acquisition of Qualtrics, we take a deeper look inside the workings of Qualtrics to assess the opportunities and challenge
#CX  #EX  +Qualtrics  +SAP  #m&a  #critique 
7 days ago
RPA in financial services - steady progress, more to do 20180322
RPA in financial services – steady progress, more to do By Angelica Mari March 22, 2018 SUMMARY: We look into the state of robotic process automation (RPA) in financial services and the challenges involved as well as a look into future adoption trends 1 Comments Sarah Burnett – Everest Following my initial review of how financial services firms are getting on with artificial intelligence (AI), I was interested in finding out more about adoption of AI and related technologies such as RPA and the technical challenges companies currently face, as well as near-future evolution at sector organizations. According to the study Digital Pinnacle Enterprises by analyst firm Everst Group, of the 55 financial services organizations polled, 16% adopted AI most effectively while 89% of those had already invested in AI in some form or other. The most common AI uses in the sector were for sentiment analysis for marketing, personal finance virtual agents and financial and advisory virtual agents. Another Everest study of 12 property and casualty insurance companies last year showed that 29% were running AI pilots and 50% were seriously considering it.
#rpa  #ai  #fiserv 
7 days ago
RPA hype versus reality - an early look at use cases and data from HfS FORA NYC 20180308
RPA hype versus reality – an early look at use cases and data from HfS FORA NYC By Jon Reed March 8, 2018 SUMMARY: Robotic Process Automation is a potent topic because companies are far enough along to share proof points – and frustrations. But is RPA just an efficiency driver? And how does AI fit into the mix? 8 Comments Den Howlett surprised me with his optimism about Robotic Process Automation (RPA) at the HfS FORA UK event (see his roundup: FORA Summit 2017 paves the way for RPA success). I’ve been looking forward to a firsthand look at HfS FORA New York City ever since. “We’re past the trough of RPA disillusionment”
#rpa 
7 days ago
Qualtrics acquired - SAP's high priced bid to solve customer experience 20181112
Qualtrics acquired – SAP’s high priced bid to solve customer experience By Den Howlett November 12, 2018 SUMMARY: SAP just poneyed up $8bn for Qualtrics, a company that provides analytics in the customer experience space. Does it make sense? Well yes – but only if companies actually care in the first place. 5 Comments Qualtrics timeline Late yesterday evening (my time) and SAP drops a blowout offer of $8bn for Qualtrics, the survey and sentiment analysis business that recently pivoted into the so-called ‘experience management’ or XM arena. No surprise then that today, my planned SAP executive meetings got blown out. There just wasn’t time for leadership to get its ducks in a row. Be that as it may, this acquisition deserves some attention.
#cx  +SAP  +Qualtrics  #m&a 
7 days ago
EY, Capgemini, KPMG, TCS and Accenture lead the RPA world of services in 2018 HfS 20181202
EY, Capgemini, KPMG, TCS and Accenture lead the RPA world of services in 2018 December 02, 2018 | Phil Fersht,  Elena Christopher,  Maria Terekhova It's been more six years since we broadcast the concept of RPA to the industry and now we have finally unveiled the first comprehensive analysts of service providers and advisors in the space. And what better than the new HFS Top Ten format where feisty analysts Elena Christopher and Maria Terekhova pull together the hygiene factors of execution and innovation with the "voice of the customer" as the makeweight factor to tell these suppliers apart:
#rpa  @HfS  #vendors  #comparison 
7 days ago
Genie Timeline Professional 10 - Backup Purchased 20181130
Genie Timeline Professional 10 One time setup, a lifetime of protection Download Trial Windows XP/ Vista/ 7 - 10 Buy Now Powerful yet simple Install, configure to your preference, and you’re done! 3 step configuration Automatic purge to save space Protection level to indicate the health of the backup Timeline view to recover from any point in time Backs up all your important data It searches for your files in your computer, external and network drives so you don’t have to Backs up your documents, pictures , music, videos and more Backs up new and modified files; detects changes keeps versions to recover older or deleted files Protects mobile data synced to your computer View your backup in its native or encrypted form
#software  #backup 
9 days ago
3 ways to nurture collaboration between universities and industry 20181103
3 ways to nurture collaboration between universities and industry Collaboration between academia and industry partners have produced everything from a melanoma treatment to electric vehicles. Image: REUTERS/Edgar Su 23 Nov 2018 Jaci Eisenberg Lead, Global University Leaders Forum (GULF) and University Engagement David Gann Vice President, Imperial College Fulvia Montresor Head of Technology Pioneers, World Economic Forum Geneva Latest Articles Madrid is banning high-polluting vehicles from the city centre Kate Whiting 30 Nov 2018 Why CFOs need to rethink what it means to create value Mark Hawkins 30 Nov 2018 This AI-powered app aims to help people with autism improve their social skills Emma Charlton 30 Nov 2018 More on the agenda Explore context Education and Skills Explore the latest strategic trends, research and analysis Collaborations between universities and industry have given life to many blockbuster discoveries over the years. One of the latest in the news – the melanoma treatment ipilimumab, whose molecule was discovered by James Allison and successfully developed into a drug by Medarex – ended up netting Dr Allison the 2018 Nobel Prize in Physiology or Medicine. There are shining examples of fruitful collaboration between universities, industry partners and start-ups. Many ideas from research in universities are put to use through collaboration between universities and firms. Others reach the market through licensing or start-up companies. Jean-Marc Frangos, chief innovation officer at BT, said: "BT’s university and start-ups collaborations have reaped great rewards. We jointly developed field scheduling algorithms with University of Essex that have resulted in 400,000 extra engineering tasks performed a year. We have also launched innovations in the UK based on a number of start-ups technologies, for instance recently re-inventing the digital customer relationship with Enjoy’s home experts."
#industry  #university  #collaboration  #partnership  @WEF 
9 days ago
Twitter
Interesting Projections:
By 2022, [only] 1 in 10 customer engagement hub architectures will include -…
real-  from twitter
10 days ago
ZineOne - Customer Engagement Hub for Real-Time Personalization
About The most intelligent data platform for the new age of smart customer engagement ZineOne enables large enterprises in the retail, banking, and hospitality industries to understand and respond in real-time to individual customer activity, solving the challenge of personalized engagement at scale. Recognized by Gartner as an official "Cool Vendor," ZineOne applies AI to streaming customer data for real-time event correlation. Our Customer Engagement Hub platform provides an 'in-the-moment' view of each customer, then delivers intelligent recommendations to engage them in ways that will truly resonate and in turn drive sales, loyalty, and lifetime value.
#customerengagement  #personalization  #cdp  #startup  #vendor  #A+  @ZineOne 
10 days ago
The Customer Data Platform (CDP) of Tomorrow, Today | ZineOne 20181018
The Customer Data Platform of Tomorrow, Today Posted on: October 18, 2018 | Posted by: Leo Merle Share Tweet LinkedIn Visible. Virtual. Vital. Customer Data Platforms (CDP) have taken the customer engagement world by storm: globally, the CDP market is already worth $903 million, and is expected to grow by 29.3% annually between 2018 and 2023. As defined by Gartner, traditional CDP solutions are marketing systems that store customer data from both internal and external sources in order to track customer behavior over time and target marketing messages to customers based on this data — key to successful customer data management. While traditional CDP solutions provide a valuable baseline for informing customer interactions, customers’ expectations of enterprise engagement are evolving—and CDP technology must evolve along with them. In order to immediately interact with any customer on any channel based on their historical preferences as well as their in-the-moment intent, today’s enterprises require a more flexible Customer Data Platform model than traditional solutions are able to offer. In other words, they need a Virtual CDP.
#customerengagement  #realtime  #digitalsignals  #cdp  @ZineOne 
10 days ago
Machine Learning Use Cases for Optimized Customer Engagement ZineOne 201811
Machine Learning Use Cases for Optimized Customer Engagement While it may seem contradictory, advancements in technology are giving customer engagement a human touch—and it’s all thanks to Machine Learning (ML) capabilities. ML applies Artificial Intelligence (AI) to computers in order to give them the ability to learn from experience instead of being explicitly programmed. By analyzing customer data to predictively enhance and personalize engagements with increasing accuracy over time, ML models can drive both acquisition and loyalty; in fact, McKinsey reports that data-driven organizations are 23 times more likely to outperform competitors in customer acquisition and 6 times as likely to retain these customers. In this blog, we will explore the potential use cases for ML models in Customer Engagement Hubs (CEH), evaluating the personalization benefits of data-driven intelligence across industries.
#ml  #applications  #customerengagement  @ZineOne 
10 days ago
Unleashing the Power of Event-Triggered Marketing | ZineOne
Unleashing the Power of Event-Triggered Marketing One-on-One Marketing with Real-Time Interactions The ubiquity of mobile devices is rapidly being complemented with wearables and digital accessories that not only have added screens but totally new interactions. Yet, it seems that marketers so far have only just scratched the surface in terms of the possibilities of connecting with their customers in meaningful ways. In this whitepaper, you will get a snapshot of key consumer interaction trends that are disrupting digital marketing and learn about strategies to tackle these new challenges.
#personalization  #event  #streaming  #digitalsignals 
10 days ago
Customer Engagement in Today's Connected Environment | ZineOne
Customer Engagement in Today’s Connected Environment Why Enterprises Require an All-in-One Customer Engagement Hub Today, almost every major industry is in the midst of a digital transformation. From retail to hospitality to finance, much of these digital efforts are being driven by a common goal that transcends any one sector: enhance customer experience across all touchpoints and deepen engagement with each and every customer. The enterprises that succeed in this data-driven endeavor will increase customer loyalty and retention, and in turn, increase their revenue. However, achieving this goal is easier said than done. Recent consumer and technology trends are building up enough tectonic force to cause a seismic shift in the way customers interact with brands—and only companies that strategically leverage digital transformation to take advantage of these developments will come out on top.
#personalization  #engagement  #vendor  @ZineOne 
10 days ago
Event-Driven Architectures | ZineOne
Major Technology Shifts (2018) – Event-Driven Architectures An Event-Driven Architecture for Real-Time Customer Engagement at Massive Scale Big data technologies have made distributed computing and massively parallel processing available to support processing of both structured and unstructured data – at scale. This capability is enabling a shift towards getting insights and driving actions from incoming streaming data using real-time analytics. If the data is stale, fast responses (although important) is not sufficiently impactful. If the data is fresh, but people get to it slowly, many opportunities are lost, for example, critical equipment fails, fraud is committed or a customer buys from a competitor. The ability to respond fast on fresh data at scale is key to successful customer engagement.
#personalization  #event-driven  #context  #data  #analytics  @ZineOne 
10 days ago
Real-Time, Cross-Channel Personalization for Retail | ZineOne
Real-Time, Cross-Channel Personalization for Retail ZineOne’s Next Generation Customer Engagement Hub is the new paradigm for contextual and real-time customer engagement, in stores and across digital channels. Powered by an AI driven streaming platform, it is able to bring together each users’ transient immediate context with their past context (within the enterprises’ own systems), to engage the user wherever they are with relevant personalized interactions. Download this document to see how our customers are using ZineOne’s personalized engagement at scale.
#personalization  #retail  @ZineOne 
10 days ago
Cool Vendors in CRM Customer Service and Support Gartner 20180508
Cool Vendors in CRM Customer Service and Support Published 8 May 2018 - ID G00355064 - 19 min read Customers choose and change engagement channels hoping for faster issue resolution. Application leaders supporting customer service must aggregate the interactions as they are happening in order to help agents anticipate customer needs. The Cool Vendors in this report can get them one step closer. Overview Key Findings Organizations seek to proactively engage customers with options for self-service as well as agent-based service. Agents and technicians want to be better informed by technology that correlates previous customer activity "in real time" (that is, not just yesterday's activity) across all channels. Organizations receive higher loyalty ratings while also reducing costs when they shorten the average handle time or time to repair metrics, even when doing this requires the customer to learn a new channel or technology. Aging workforce retirements and loss of experienced resources in favor of expected profitability have left organizations with a knowledge gap among customer-facing employees. It remains difficult to connect less experienced resources with the right human and digital guidance.
#startups  #customerengagement  #ai  #ml  +ZineOne 
10 days ago
ZineOne (@Zine_One) | Twitter
ZineOne @Zine_One ZineOne is a Customer Engagement Hub for Real-Time Personalization that enables event-driven interactions across all digital touch points using #AI and #ML Silicon Valley, California zineone.com Joined October 2013
#personsalization  #vendor  #customerengagement  #digital  #ai  #ml  @ZineOne  #A+ 
10 days ago
Leading With Next-Generation Key Performance Indicators SMR 20180626
LEADING WITH NEXT-GENERATION KEY PERFORMANCE INDICATORS June 26, 2018 by: MICHAEL SCHRAGE AND DAVID KIRON MIT Sloan Management Review and Google’s new cross-industry survey about key performance indicators (KPIs) asked senior executives to explain how they and their organizations are using KPIs in the digital era. The results shed light on the challenges and emerging opportunities companies face when using KPIs, demonstrate the many ways advanced use of KPIs can benefit organizations, and offer steps executives can take to make the most of KPIs going forward.
#marketing  #strategy  #measurement  #metrics  #KPI  #survey  #bestpractices  @MichaelSchrage 
10 days ago
HFS Top 10 Cognitive Assistant Service Providers HFS Research 20180816
HFS TOP 10 COGNITIVE ASSISTANT SERVICE PROVIDERS Aug 16, 2018 Melissa O'Brien WHAT THIS REPORT COVERS   A new wave of services, powered by the change agents of smart analytics and artificial intelligence (AI), is on the horizon. One application has been to create cognitive assistants that can execute on business outcomes and impact enterprise operations; these cognitive assistants are part of the realm of services that are poised to help create more agile, predictive, and customer centric organizations, as we have outlined in our HFS Digital OneOffice™ conceptual framework.   In this inaugural research, we explore the emerging market in the provider ecosystem for services that we call cognitive assistants—the intelligent, automated interactions that replace or augment human customer-facing transactions and processes or internal enterprise interactions and processes. The 2018 Cognitive Assistant Service Providers Report provides a market overview and evaluation of the leading service providers in this space. This includes their strengths and development opportunities.   WHAT YOU’LL KNOW AFTER READING What are cognitive assistants and why companies are experimenting with and deploying these solutions Key findings from our research including examples of key customer engagements for cognitive assistants The strengths and challenges to take into consideration for the service providers including their capability, successes to date, and vision SERVICE PROVIDERS WE DISCUSS Accenture, Cognizant, Concentrix, Convergys, CSS Corp, DXC, EXL, Genpact, HCL, IBM, Infosys, LTI, Sitel, Sutherland, TCS, Tech Mahindra, Teleperformance, Wipro, and WNS HFS Top 10 Cognitive Assistant Service Providers $2,500.00 (38 Pages)
#cognitivecomputing  #digitalassistant  #vendors  #ratings  #analystreport  @HfS 
10 days ago
HFS Top 10 RPA Products 2018 | HFS Research 20180820
HFS TOP 10 RPA PRODUCTS 2018 Aug 20, 2018 Phil Fersht Saurabh Gupta The rise of RPA is nothing short of spectacular. It has captivated the attention of digital operations executives with the promise of cost-savings beyond labor arbitrage, cost avoidance by extending the life of legacy IT, quicker implementation than traditional IT projects, business-user friendliness, auditability and compliance, straight through processing, and, let’s be honest—terrific marketing! However, confusion around RPA deployments is rife. There are growing questions about whether RPA can deliver on promised ROI and outcomes. Most RPA initiatives continue to be small and piecemeal. Scaled RPA deployments are rare. The industry is still struggling to solve challenges around the process, change, talent, training, infrastructure, security, and governance. Satisfaction with RPA deployments is middling. With the mission to demystify this confusion and uncover the truth to successful RPA deployment, we conducted a first of its kind RPA Customer Experience (CX) research to develop the “HFS Top 10 RPA Products” The research is based on interviews over 350 clients and product partners across the ten leading RPA products. It provides a comprehensive assessment of the products on their ability to execute, innovation capability, and voice of the customer. Note: This is our inaugural Top 10 report that we are sharing with all our readers for free. Enjoy the research!
#rpa  #vendors  #list  +HfS 
10 days ago
Q&A with Phrasee CEO Parry Malm: $4m funding to bring AI-powered copywriting to US ClickZ 20180831
Q&A with Phrasee CEO Parry Malm: $4m funding to bring AI-powered copywriting to US AI company Phrasee recently announced funding to expand into the US market. We sit down with CEO Parry Malm to discuss their product, company, upcoming growth, ethics policy, and how they've gotten where they are today.
#ai  #application  #vendor  #email  #personalization  #ecommerce  +Phrasee 
10 days ago
Personalizing the In-Store Journey - Using AI To Personalize Connected Journeys ZineOne 2018
Personalizing the In-Store Journey (Part – II) – Using AI To Personalize Connected Journeys Harnessing AI to power event-driven contextual engagement With companies such as Amazon and Netflix redefining the term “experience,” consumers’ expectations have been completely reset. Traditional brick and mortars have to match this expectation in terms of relevance and speed of response to their needs, not only on their digital channels, but also within their stores. This has led to a paradigm shift in the retail industry toward offering seamless, personalized experiences to their customers across all channels … in real-time. To achieve this, a new technology stack and a new generation of systems are needed that can respond in milliseconds at-scale. Additionally, they must do so while learning and adapting these responses to the evolving context of the customer. Download this whitepaper to understand how retailers can go about achieving this path to personalization with AI and machine learning.
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10 days ago
Personalizing the In-Store Experience (Part – I) – Connecting the online and in-store customer journey ZineOne
Personalizing the In-Store Experience (Part – I) – Connecting the online and in-store customer journey Many customers that visit a store to buy products tend to research and plan their purchase online before visiting the store. Retailers that can seamlessly connect their customer’s online and in-store journeys will stand differentiated to deliver truly personalized and relevant experiences. This will enable them to deepen customer loyalty and boost sales. In this whitepaper, you will learn how traditional retailers can reinvent themselves by having a cohesive view of each customer’s online an
#marketing  #retail  #in-store  #personalization  #customerjourney  @ZineOne  #whitepaper 
10 days ago
Using cognitive tech to connect customers to business operations HFS 20180406
USING COGNITIVE TECH TO CONNECT CUSTOMERS TO BUSINESS OPERATIONS Apr 6, 2018 Phil Fersht Melissa O'Brien Creating an engaging customer experience is more readily achieved by embedding increasingly sophisticated digital and cognitive technologies into the very fiber of an organization’s processes, from its front office right through to its back office.   Successful organizations are both strategic and nimble, leveraging the power of real-time data to reduce inefficiencies and enhance their effectiveness. Agile businesses predict their customers' needs before their competitors do. More importantly, they have the ability to act on those predictions, which is essential for getting ahead in today's global digital economy. Investment in cognitive technologies (those which mimic human thinking and have the capability to learn) will be required for having intelligent operations in the enterprise. An intelligent enterprise has the ability to inform and implement better business decisions by leveraging data and smarter technology.   In a study conducted in partnership with IPsoft, HfS Research interviewed 100 C-Suite executives to understand their views, expectations, and strategies, along with their investment plans for cognitive technologies. This report discusses opportunities and challenges that business leaders see for moving their organizations toward being truly intelligent—knowing their customers, using technology most effectively, and infusing cognitive technology into the fiber of their business operations.   Table of Contents Smart investments in cognitive tech will help solve business problems and collapse internal barriers C-Suite executives seek to align operations with business outcomes Cognitive Agents are at the Forefront of Investments Cognitive Tech is Driving Intelligent, Self-Learning Business Operations Intelligent operations of the future: cognitive is a lever for theOneOffice core OneOffice by Definition Impediments to OneOffice: The Challenges of Aligning the Enterprise How to track the impact? Using cognitive glue to construct OneOffice
#cognitive  #ai  #rpa  @HfS  #analyst  #report 
10 days ago
The Journey Orchestration Road Map: From Start To Scale Webinar Forrester and Kitewheel 201808
The Journey Orchestration Road Map: From Start To Scale.

While there is nothing wrong with a tactical approach to journey orchestration to find and fix broken experiences, using journey orchestration only for that reason is a miss. Journey discovery is the first step: but today’s most advanced brands utilize journeys far beyond their original use case to establish experiences that redefine the brand itself.

This webinar will explore how companies progress from selecting the right use cases to prove the value of journey orchestration fast and operationalizing journeys at scale by enriching, automating and adopting sound journey-based measurement.

Hear from Mark Smith, President of Kitewheel and Joana van den Brink-Quintanilha, Principal Analyst at Forrester, on the importance of defining journey discovery and scaling the journey orchestration plan to grow your business.
#customerjourney  #webinar  @Kitewheel  @Forrester 
10 days ago
Links to AI & Automation Articles (30) - 20181129
allintitle: automation (AI OR "Artificial Intelligence") - Google Search
The four biggest challenges and opportunities of automation and A.I
Blog : Automation, Analytics & AI: AAA for Next-generation Process Excellence
NICE Robotic Automation Unveils Innovative AI Based Automation Finder | NICE
Investing in Artificial Intelligence and Automation
Understanding robotic process automation, artificial intelligence and intelligent automation | PAC – a CXP Company
Artificial Intelligence-Driven Automation | Automation World
When RPA met AI: the Rise of Cognitive Automation
Advanced Artificial Intelligence and Robotic Process Automation Forum | Enhancing Business Intelligence and Analytics Solutions
AI and Automation – A Combo to Manage Cyber Security Threats
Injecting (Artificial) Intelligence Into Robotic Process Automation - The Data Center Journal
The Future of AI and Automation in the Financial and Monetary System | World Economic Forum
Supercharging your SEO with AI: Insights, automation and personalization - Search Engine Land
Artificial Intelligence: Automation or Augmentation - SpringML
The difference between artificial intelligence and automation | News | FIPP.com
Robotic Process Automation | Intelligent Automation Solutions | Altoros
AI Consulting and Machine Learning Development
How the Adoption of AI and Automation in Banking Is Evolving
How Automation and AI Improve Healthcare Cybersecurity
John Gikopoulos is Infosys' new global head for artificial intelligence & automation - The Economic Times
AI 101: The Basics of Automation for Customer Support | CustomerThink
7 Startups Using AI for Robotic Process Automation - Nanalyze
AI: Friend or Foe? 5 Tips to Add Automation to Market Research | Insights Association
Automation and AI: The Future of FS | MoneyLive Webinars
Is The Rise of AI And Automation Putting A Premium On Creative/Human Skill Building? | Jacob Morgan
RPA and AI across the intelligent automation spectrum
Automation, RPA and AI - An Honest Stream of Consciousness — Piccadilly Group
The Future of Work: AI and Automation - The Washington Post
Enabling better patient care with AI automation | TechRadar
Former Google chief executive Eric Schmidt says automation, AI and machines will boost productivity without killing jobs | City A.M.
#ai  #automation  #links 
11 days ago
The Three Breakthroughs That Have Finally Unleashed AI on the World Kevin Kellly WIRED 201410
THE THREE BREAKTHROUGHS THAT HAVE FINALLY UNLEASHED AI ON THE WORLD CRAIG & KARL A FEW MONTHS ago I made the trek to the sylvan campus of the IBM research labs in Yorktown Heights, New York, to catch an early glimpse of the fast-arriving, long-overdue future of artificial intelligence. This was the home of Watson, the electronic genius that conquered Jeopardy! in 2011. The original Watson is still here—it’s about the size of a bedroom, with 10 upright, refrigerator-shaped machines forming the four walls. The tiny interior cavity gives technicians access to the jumble of wires and cables on the machines’ backs. It is surprisingly warm inside, as if the cluster were alive. Today’s Watson is very different. It no longer exists solely within a wall of cabinets but is spread across a cloud of open-standard servers that run several hundred “instances” of the AI at once. Like all things cloudy, Watson is served to simultaneous customers anywhere in the world, who can access it using their phones, their desktops, or their own data servers. This kind of AI can be scaled up or down on demand. Because AI improves as people use it, Watson is always getting smarter; anything it learns in one instance can be immediately transferred to the others. And instead of one single program, it’s an aggregation of diverse software engines—its logic-deduction engine and its language-parsing engine might operate on different code, on different chips, in different locations—all cleverly integrated into a unified stream of intelligence.
#ai  #history  #enablers  @KevinKelly  #tl 
11 days ago
A Framework for Building Artificial Intelligence Capabilities WSJ 20180302
A Framework for Building Artificial Intelligence Capabilities Companies should look at AI through the lens of business opportunities, rather than technologies By Irving Wladawsky-Berger Mar 2, 2018 12:29 pm ET 2 COMMENTS A line of automated transport robots sit before operating to move shelving units containing goods at Amazon.com Inc.'s new fulfillment center in Kolbaskowo, Poland, Feb. 28, 2018. PHOTO: BARTEK SADOWSKI/BLOOMBERG After decades of promise and hype, artificial intelligence has finally reached a tipping point of market acceptance. AI is seemingly everywhere. Every day we can read about the latest AI advances and applications from startups and large companies. But, despite its market acceptance, a recent McKinsey report found that AI adoption is still at an early, experimental stage, especially outside the tech sector. Based on a survey of over 3,000 AI-aware C-level executives across 10 countries and 14 sectors, the report found that 20 percent of respondents had adopted AI at scale in a core part of their business, 40 percent were partial adopters or experimenters, while another 40 percent were still waiting to take their first steps. The report adds that the gap between the early AI adopters and everyone else is growing. While many companies have yet to be convinced of AI’s benefits, leading edge firms are charging ahead. Companies need to start experimenting with AI and get on the learning curve, or they risk falling further behind.
#ai  #applications  #capabilities  #fluency  #deployment  #prioritization  @WSJ 
11 days ago
Chief Learning Officer
Chief Learning Officer is a multimedia publication focused on the importance, benefits and advancements of a properly trained workforce. Our award-winning content caters specifically to executives in the enterprise learning market.
#training  #learning  #online 
11 days ago
Webinar The Digital Transformation of the Learning Function 20181212
THE DIGITAL TRANSFORMATION OF THE LEARNING FUNCTION Date: Wednesday, December 12, 2018 Time: 2:00 PM EDT Duration: 60-minutes When the speed of employee learning needs to keep pace with the digital transformation of organizations large and small, the solutions are far from obvious. Digital transformation is changing the learning and development function and the role of the CLO. It is as much about strategy and culture as it is about technology. So how does the learning and development function enable successful market and organizational change in the digital era? This webinar will focus on three core areas of technological and functional change for L&D: how to facilitate organizational change with cross functional collaboration; how to create learning experiences using AI; and design thinking and agile approaches and how to avoid common pitfalls. The speakers, Amy Loomis and Robert Burnside, bring direct experience from their years of work in the industry and through current consulting engagements. Loomis led the development and instantiation of IBM’s Think Academy and Burnside was Ketchum’s CLO. Join them in a conversation on how L&D can build resilient organizations that are well equipped to navigate the demands of work in the digital era.
#learning  #L&D  #webinar  #training 
11 days ago
Uniphore - Speech Recognition and Digital Agents
Uniphore
The ability to use speech to communicate is arguably the primary reason for the evolutionary success of the human race. Uniphore’s solutions extend the power of speech to revolutionise human-machine interaction. Our solutions allow any software application to understand and respond to natural human speech, thus enabling humans to use the most natural of communication modes, speech, to engage and instruct machines.

A Note from the CEO
#speech  #recognition  #digitalagent  #vendor  @JohnChambers 
11 days ago
Connecting the Dots: Lessons for Leadership in a Startup World: John Chambers, Diane Brady: 9780316486545: Amazon.com: Books
Connecting the Dots: Lessons for LSilicon Valley visionary John Chambers shares the lessons that transformed a dyslexic kid from West Virginia into one of the world's best business leaders and turned a simple router company into a global tech titan.

When Chambers joined Cisco in 1991, it was a company with 400 employees, a single product, and about $70 million in revenue. When he stepped down as CEO in 2015, he left a $47 billion tech giant that was the backbone of the internet and a leader in areas from cybersecurity to data center convergence. Along the way, he had acquired 180 companies and turned more than 10,000 employees into millionaires. Widely recognized as an innovator, an industry leader, and one of the world's best CEOs, Chambers has outlasted and outmaneuvered practically every rival that ever tried to take Cisco on--Nortel, Lucent, Alcatel, IBM, Dell, and Hewlett-Packard, to name a few.

Now Chambers is sharing his unique strategies for winning in a digital world. From his early lessons and struggles with dyslexia in West Virginia to his bold bets and battles with some of the biggest names in tech, Chambers gives readers a playbook on how to act before the market shifts, tap customers for strategy, partner for growth, build teams, and disrupt themselves. He also adapted those lessons to transform government, helping global leaders like French President Emmanuel Macron and Indian Prime Minister Narendra Modi to create new models for growth.

As CEO of JC2 Ventures, he's now investing in a new generation of game-changing startups by helping founders become great leaders and scale their companies.

Connecting the Dots is destined to become a business classic, providing hard-won insights and critical tools to thrive during the accelerating disruption of the digital age.eadership in a Startup World Hardcover – September 25, 2018
#startups  #leadership  #strategy  #enterprise  @JohnChambers 
11 days ago
The Playbook for Startups: Q&A With Former Cisco CEO John Chambers 20181121
The Playbook for Startups: Q&A With Former Cisco CEO John Chambers John Chambers’ new book examines the type of leadership style that will bring a company success. by Aysha Ashley HousehNovember 21, 2018 “A company or leader can’t be described as great until they have gone through a near-death experience and come back.” John Chambers, former CEO and executive chairman of Cisco and current CEO and founder of JC2 Ventures, once received this advice from a friend. That mindset helped Chambers guide Cisco out of crisis when the company’s stock crashed and business could have been lost. John Chambers’ new book, “Connecting the Dots: Lessons for Leadership in a Startup World” focuses on succeeding in a startup and digital world. In his book, “Connecting the Dots: Lessons for Leadership in a Startup World,” Chambers shares the strategies to succeed in a startup and digital world and how to adapt to the changes that come with the digital age. Chief Learning Officer editorial associate Aysha Ashley Househ spoke to Chambers about the lessons he’s learned from his successes and mistakes and his professional advice for navigating corporate setback
#startups  #strategy  #leadership  @JohnChambers 
11 days ago
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