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Everything still to play for with AI in its infancy
February 14, 2019 | Financial Times | by Richard Waters.

the future of AI in business up for grabs--this is a clearly a time for big bets.

Ginni Rometty,IBM CEO, describes Big Blue’s customers applications of powerful new tools, such as AI: “Random acts of digital”. They are taking a hit-and-miss approach to projects to extract business value out of their data. Customers tend to start with an isolated data set or use case — like streamlining interactions with a particular group of customers. They are not tied into a company’s deeper systems, data or workflow, limiting their impact. Andrew Moore, the new head of AI for Google’s cloud business, has a different way of describing it: “Artisanal AI”. It takes a lot of work to build AI systems that work well in particular situations. Expertise and experience to prepare a data set and “tune” the systems is vital, making the availability of specialised human brain power a key limiting factor.

The state of the art in how businesses are using artificial intelligence is just that: an art. The tools and techniques needed to build robust “production” systems for the new AI economy are still in development. To have a real effect at scale, a deeper level of standardisation and automation is needed. AI technology is at a rudimentary stage. Coming from completely different ends of the enterprise technology spectrum, the trajectories of Google and IBM highlight what is at stake — and the extent to which this field is still wide open.

Google comes from a world of “if you build it, they will come”. The rise of software as a service have brought a similar approach to business technology. However, beyond this “consumerisation” of IT, which has put easy-to-use tools into more workers’ hands, overhauling a company’s internal systems and processes takes a lot of heavy lifting. True enterprise software companies start from a different position. They try to develop a deep understanding of their customers’ problems and needs, then adapt their technology to make it useful.

IBM, by contrast, already knows a lot about its customers’ businesses, and has a huge services operation to handle complex IT implementations. It has also been working on this for a while. Its most notable attempt to push AI into the business mainstream is IBM Watson. Watson, however, turned out to be a great demonstration of a set of AI capabilities, rather than a coherent strategy for making AI usable.

IBM has been working hard recently to make up for lost time. Its latest adaptation of the technology, announced this week, is Watson Anywhere — a way to run its AI on the computing clouds of different companies such as Amazon, Microsoft and Google, meaning customers can apply it to their data wherever they are stored. 
IBM’s campaign to make itself more relevant to its customers in the cloud-first world that is emerging. Rather than compete head-on with the new super-clouds, IBM is hoping to become the digital Switzerland. 

This is a message that should resonate deeply. Big users of IT have always been wary of being locked into buying from dominant suppliers. Also, for many companies, Amazon and Google have come to look like potential competitors as they push out from the worlds of online shopping and advertising.....IBM faces searching questions about its ability to execute — as the hit-and-miss implementation of Watson demonstrates. Operating seamlessly in the new world of multi-clouds presents a deep engineering challenge.
artificial_intelligence  artisan_hobbies_&_crafts  automation  big_bets  cloud_computing  contra-Amazon  cultural_change  data  digital_strategies  early-stage  Google  hit-and-miss  IBM  IBM_Watson  internal_systems  randomness  SaaS  standardization 
5 days ago by jerryking
News Analysis - IBM Unveils New Offerings for Faster and More Secured Path to Hybrid Cloud
"Great to have a customer quote right at the beginning… would have been more valuable if the CTO of Aetna would refer to the specific services here. And for the PR aficionados: IBM definitively has a new chief press release editor – customer quotes would always come towards the end in the past – with IBM executive and industry analyst quotes. Good to see the change, all that matters are… customers. "
cloud  constellation  research  futurist  holger  mueller  hybrid  ibm  multicloud  nextgenapps  nextgencompute  redhat  trusted  advisor 
6 days ago by jonerp
Google and IBM still trying desperately to move cloud market-share needle | TechCrunch
While becoming cross-platform compatible isn’t exactly a radical notion in general, it most certainly is for a company like IBM, which if it had its druthers and a bit more market share, would probably have been content to maintain the status quo. But if the majority of your customers are pursuing a multi-cloud strategy, it might be a good idea for you to jump on the bandwagon — and that’s precisely what IBM has done by opening up access to Watson across clouds in this fashion.
"While  becoming  cross-platform  compatible  isn’t  exactly  a  radical  notion  in  general  it  most  certainly  is  for  company  like  IBM  which  if  had  its  druthers  and  bit  more  market  share  would  probably  have  been  content  to  maintain  the  status  quo.  But  majority  of  your  customers  are  pursuing  multi-cloud  strategy  might  be  good  idea  you  jump  on  bandwagon    that’s  precisely  what  has  done  by  opening  up  access  Watson  across  clouds  this  fashion. 
6 days ago by jonerp
IBM AI fails to beat human debating champion • Engadget
Saqib Shah:
<p>Champion debater Harish Natarajan triumphed in a live showdown against IBM's Miss Debater AI at the company's Think Conference in San Francisco on Monday. The 2012 European Debate winner and IBM's black monolith exchanged quick retorts on pre-school subsidies for 25 minutes before the crowd hailed Natarajan the victor.

Each side was given 15 minutes to prep for the clash, after which they presented a four-minute opening statement, a four-minute rebuttal, and a two-minute summary. The 700-strong audience, meanwhile, was comprised of top debaters from Bay Area schools and more than a hundred journalists.

Miss Debater (formerly known as Project Debater) pulled arguments from its database of 10 billion sentences taken from newspapers and academic journals. A female voice emanating from the human-sized black box spouted its answers, while three blue balls floated around its display.

The face-off was the latest event in IBM's "grand challenge" series pitting humans against its intelligent machines. In 1996, its computer system beat chess grandmaster Garry Kasparov, though the Russian later accused the IBM team of cheating, something that the company denies to this day - he later retracted some of his allegations. Then, in 2011, its Watson supercomputer trounced two record-winning Jeopardy! contestants.

In the lead-up to Monday's bout, Natarajan suggested that debating may prove a harder battleground for AI than Go and video games. "Debating is...more complicated for a machine than any of those…" he wrote in a LinkedIn post.</p>


Well I'd hope that debating was tougher than just stringing sentences together. Though I doubt Natarajan has any real idea of how hard Go or Dota 2 are for a machine or a human at the very top level.
ibm  ai  machinelearning  debate 
7 days ago by charlesarthur
How do I configure websphere application server SSL protocol to TLSv1.2 ONLY? - IBM Developer Answers
7.0.0.23 comes JDK version as follows and TLSv1.2 supported - SDK 6
8.0.0.3 comes with JDK version follows and TLSv1.2 supported - SDK 6.0.1 (J9 2.6)
8.5 comes with JDK version follows and TLSv1.2 supported - SDK 6.0.1 (J9 2.6)
Liberty can configured with any JDK. If you are using IBM JDK1.6 SR10 FP1 and above then it is supported.
ibm  java  webdev 
7 days ago by jojobong

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