big_data   4180

« earlier    

We Company hired a Google executive to launch a "smart cities" project — Quartz at Work
The company behind the WeWork real-estate empire is starting a “future cities” initiative and has hired former Waze and Google executive Di-Ann Eisnor to run it. According to the We Company, Eisnor and her team of engineers, architects, data scientists, biologists, and economists will create products and partner with local groups around the world to help address problems spurred by globalization, urbanization, and climate change.

If the concept sounds a bit abstract and more than a tad ambitious, consider its source. We Company CEO Adam Neumann unveiled the company’s new brand in January with a mission to “elevate the world’s consciousness.” WeLive, its co-living arm, wants to “build a world where no one feels alone.” And WeGrow, its education group, has a stated mission to “unleash every human’s superpowers.”...

Helping to solve climate change? Perhaps it can be accomplished between dropping the kid off at WeGrow (the company’s Montessori-inspired private schools for children age 2 to 11) and jumping on the elliptical at Rise by We (the company’s holistic health center).

The move to launch a smart cities program, though, is in line with one of the company’s non-spiritual missions: to compile the world’s largest data set on how people work and live. With 425 co-working spaces in 100-plus cities, WeWork has data that economic development agencies would fawn over. The company not only has a robust sense of how businesses start and grow, but also how they use space and consume energy.... While there’s certainly value in the WeWork network for a member who might be able to, say, find a graphic designer who works on the floor above them, there’s arguably even greater value to cities and other potential partner organizations when data on the membership base is aggregated....

Though sparse on specifics, the mandate for Eisnor’s new team at We is to tie all of the firm’s disparate data sources together. As the company’s latest Chief We Officer (er, CWeO), her goal is to build on what We has already done inside the building, take it outside, and reimagine a sort of connective tissue for 21st-century cities....

We already has been doing its part to get Eisnor the data she needs. Not only has the company bolstered its network of co-working offices with co-living spaces, schools, and wellness centers, but in the past two years, it has been on a data acquisition spree.

In November 2017, We acquired Meetup, the platform for, well, meeting up, which also happens to have an 18-year repository of how people gather offline. Last year, We acquired Teem, a workplace analytics company that measures how workers use conference rooms. And this year, it acquired Euclid, a startup that uses wifi signals to understand how people move through physical spaces like malls....

When governments partner with industry, or even just take on public works projects with a private-industry mindset, a common set of issues tends to arise.

First, there’s the question of who the public-private partnership is serving.... Second, with public-private partnerships, there’s always the question of who will own the data.
smart_cities  big_data  we_work  urban_planning  anthrodesign 
yesterday by shannon_mattern
The curse of the data lake monster | ThoughtWorks
Artificial intelligence and machine learning are currently all the rage. Every organization is trying to jump on this bandwagon and cash in on their data reserves. At ThoughtWorks, we’d agree that this tech has huge potential — but as with all things, realizing value depends on understanding how best to use it.
kiran_prakash  lucy_chambers  data_models  data_science  big_data  machine_learning  ai 
4 weeks ago by mreinbold
Real-time insights from streets

Numina is a deploy-anywhere sensor solution that gives cities unprecedented traffic data.
smart_cities  surveillance  sensors  big_data 
4 weeks ago by shannon_mattern
Introduction To PostgreSQL | Dataquest
Learn Python and R for data science. Learn by coding and working with data in your browser. Build your portfolio with projects and become a data scientist.
data_science  big_data 
6 weeks ago by bob.clarke
Jupyter Notebook for Beginners: A Tutorial
Use this tutorial to learn how to create your first Jupyter Notebook, important terminology, and how easily notebooks can be shared and published online.
jupyter  data_science  big_data 
6 weeks ago by bob.clarke

« earlier    

related tags

advertising  agriculture  ai  airbnb  airbus  algorithms  analytics  andrew_connolly  anthrodesign  antidepressant  apache_beam  apple  architecture  article  artificial_intelligence  astronomy  async  aws  aws_security  batch_processing  bianca_wylie  blockchain  bologna  business  california  cars  chris_williams  climate  cloud  cloud_computing  cmu  company  computing  connectomics  copernicus  correlation  csi_702  dask  data  data_analytics  data_engineering  data_ingestion  data_lake  data_models  data_pipeline  data_privacy  data_processing  data_science  data_visualisation  database  datascience  dataset  daten  dias  digital_ethics  distributed  due_process  economics  edge  education  elasticsearch  esa  ethics  ethics_of_algorithms  european_commission  fairness  farming  feynman  for_friends  forecasting  france  geodata  geospatial  germany  google  google_dataflow  government  gpu  graphs  hadoop  high-performance_computing  higher_education  hpc  humanitarian  ict4d  innovation  internet_of_things  iot  is:repo  israel  italy  java  journalismus  jupyter  justice  kiran_prakash  kubernetes  lambda_architecture  lang:de  law  learning  lsst  lucy_chambers  machine_learning  management  mapreduce  marketing  memory  methodology  mitsmr  ml  mobile  navigation  netflix  networking  netz  neural_coding_and_decoding  neural_data_analysis  neuroscience  nlp  nosql  open_source  opensource  optimization  pandas  paper  papers  paris  patterns  policy  political_science  privacy  probability  psychiatry  python  random  reading_list  reporting  research  resource  robotics  s3  satellite  search_engine  security  sensors  sharing  sidewalk_labs  siemens  smart_cities  software  software_architecture  spark  spatio-temporal_statistics  statistics  storage  stream_processing  surveillance  swisscom  tech  testomonial  trusted_computing  tutorial  tweet  ucberkeley  urban_planning  usa  video  visualization  we_work  weather  wind  writing  zero_copy  ★★★★☆  ★★★☆☆ 

Copy this bookmark: