Skip to content

Data, AI, & Machine Learning P. 9

Page 19 of 21

  • Innovating With Analytics

    Data-savvy organizations are using analytics to innovate — and to gain competitive advantage.

    More

  • Winning With Data

    The Fall 2012 issue of MIT Sloan Management Review features a number of articles about how companies can use data to win at business.

    More

  • Do You Need a Data Dictator?

    Keeping track of data and creating value from it may require more than technology.

    More

  • How 'Big Data' Is Different

    How do the insights from big data differ from what managers generate from traditional analytics?

    More

  • Finding Value in the Information Explosion

    The rapid growth of data creates business opportunities — but only if IT and management work together.

    More

  • The Storage and Transfer Challenges of Big Data

    Simon Robinson (Research Vice President at 451 Research) interviewed by Renee Boucher Ferguson A lot of the talk about analytics focuses on its potentials to provide huge insights to company managers. But analyst Simon Robinson of 451 Research says that on the more basic level, the global conversation is about big data’s more pedestrian aspects: how do you store it, and how do you transmit it? With the bird’s eye view of an analyst, Simon Robinson has paid a lot of attention in the last 12 years to how companies are collecting and transmitting increasingly enormous amounts of information. Since 2000, Robinson has been with 451 Research, an analyst group focused on enterprise IT innovation. Today he is research vice president, running the Storage and Information Management team. Based in 451 Research’s London office, Robinson and his team specialize in identifying emerging trends and technologies that are helping organizations optimize and take advantage of their data and information, and meet ever-evolving governance requirements. (He’s on Twitter at @simonrob451.) “Storage is very complex,” Robinson says. And indeed, not only does it entail managing capacity and figuring out the best collection and retrieval methods, it also means synching with both the IT and the business teams and paying attention to complex security and privacy issues. In a conversation with Renee Boucher Ferguson, a researcher and editor at MIT Sloan Management Review Robinson discussed the changing storage landscape in the era of big data and cloud computing.

    More

  • Why Detailed Data Is As Important As Big Data

    The data investigation is all about how companies spot trends and how they figure out what's going on in those trends.

    More

  • All Fired Up in Massachusetts: The State's New Wave of Big Data Companies

    A new wave of analytics-driven companies is making Massachusetts one of the hottest U.S. centers of big data.

    More

  • Winning the Race With Ever-Smarter Machines

    To gain leverage from ever-improving technologies, companies need new processes and business models.

    More

  • Analytics: The Widening Divide

    The second annual report by MIT Sloan Management Review and the IBM Institute for Business Value sees a growing divide in analytic sophistication.

    More

  BENCHMARKS  
Loading Time: Base Classes  0.0007
My Controller Construct  0.0003
Build Nav  0.0005
Controller Execution Time ( Products / Route )  0.0512
Total Execution Time  0.0519
  GET DATA  
$_GET['cat_id']   276
$_GET['offset']   180
  MEMORY USAGE  
1.8277 MB
  POST DATA  
No POST data exists
  URI STRING  
store/data-ai-machine-learning
  CLASS/METHOD  
products/route
  DATABASE:  MITSLOAN_DEV   QUERIES: 155  (Show)
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)