1. Articles in category: Big Data and Analytics

    1-24 of 239 1 2 3 4 5 6 7 8 9 10 »
    1. Is AI the best weapon against terrorist propaganda?

      In the past four months alone, there have been three separate terrorist attacks across the UK (and possibly a third reported just today) – and that’s after implementing efforts that the Defense Secretary claimed helped in thwarting 12 other incidents there in the previous year. That spells a massive challenge for companies investing in curbing the spread of terrorist propaganda on the web.

      Read Full Article
    2. How to build a highly effective AI team

      Once a niche research specialty, AI is fast becoming a vital aspect of the IT strategy at many businesses. The maturity of data science and machine learning tools, as well as the rise of readily accessible machine learning platforms in the cloud, are fueling this trend, enabling businesses to explore new ways to extract high business value from existing and accumulating data.

      Read Full Article
    3. Expert tips for managing your cloud data

      When oncologists at Carolinas HealthCare System go before a tumor board review to discuss patient cases, they are looking for feedback on treatment plans and clinical trials. During their presentations, the doctors show their peers genetic data, pathology reports, lab results and physicians' notes -- all of which is at their fingertips because it is stored in a Hadoop cloud on Microsoft Azure.

      Read Full Article
    4. How to prepare for employment in the age of artificial intelligence

      For centuries, humans have been fretting over “technological unemployment” or the loss of jobs caused by technological change. Never has this sentiment been accentuated more than it is today, at the cusp of the next industrial revolution. With developments in artificial intelligence continuing at a chaotic pace, fears of robots ultimately replacing humans are increasing. However, while AI continues to master an increasing number of tasks, we’re still decades away from human jobs going extinct.

      Read Full Article
    5. Elon Musk’s OpenAI Unveils a Simpler Way for Machines to Learn

      In 2013 a British artificial-intelligence startup called DeepMind surprised computer scientists by showing off software that could learn to play classic Atari games better than an expert human player. Now OpenAI, a nonprofit research institute cofounded and funded by Elon Musk, says it has discovered an easier-to-use alternative to reinforcement learning that gets rival results when it plays games and performs other tasks. The group says it has a more practical way to get software to learn tasks, such as steering robots, that require multiple actions.

      Read Full Article
    6. Social determinants: powering the next big leap for healthcare analytics

      Real estate isn’t the only thing that’s all about location. Your ZIP code may be the single biggest predictor of your health and mortality. Healthcare analytics professionals increasingly view ZIP codes as surrogates for income, education, employment status, ethnicity and other related data elements that are collectively referred to as social determinants of health (SDOH). These types of data are beginning to play a critical role in population health management (PHM) practices.

      Read Full Article
    7. If You Use A Business Dashboard, You Have This CEO to Thank

      Fixing the need for an analytics and business intelligence dashboarding tool that was both affordable and easy to use. Cyfe, founded in 2012, pioneered the freemium dashboard platform, expanding  a year later to include further support for analytic and marketing tools like Eventbrite, Stripe, and many others. Now, the company is helping brands like WholeFoods, Marriott, ABC, and Groupon save tons of time and effort in their marketing and IT departments.

      Read Full Article
    8. How IT Can Empower the Enterprise with Self-Service Analytics at Scale

      Business intelligence used to be a top-down affair which IT often approached in the same manner as traditional IT projects. The business makes a request of IT, IT logs a ticket, then fulfills the request following a waterfall methodology.While this approach centralized data and promoted consistency, it sacrificed business agility. There was a significant lag between question and answer. And this delay led to lackluster adoption and low overall business impact.

      Read Full Article
    9. MapR delivers persistent storage for containers

      One of the core issues that has inhibited the adoption of container technologies, like Docker, is the lack of support for persistent storage required for stateful applications and microservices, says Jack Norris, senior vice president, Data and Applications, MapR Technologies. Container technology has come a long way in the past several years, but when it comes to storage, the options have been point solutions for file and block storage, with no comprehensive, secure data services for stateful containers.

      Read Full Article
    10. Insurance spin-out rides API-driven strategy

      Allstate has spun out an analytics business that harnesses driver risk scores, roadside rescue services and other telematics data, which it is packaging into software to sell to rival insurers, automakers, as well as ride-sharing companies. So it is fitting that the startup, called Arity, is also aping the API-based platform strategies of the very startups that have blown up the transportation industry.

      Read Full Article
    11. Silicon Valley Hedge Fund Takes On Wall Street With AI Trader

      Babak Hodjat believes humans are too emotional for the stock market. So he's started one of the first hedge funds run completely by artificial intelligence. "Humans have bias and sensitivities, conscious and unconscious," says Hodjat, a computer scientist who helped lay the groundwork for Apple's Siri. "It's well documented we humans make mistakes. For me, it's scarier to be relying on those human-based intuitions and justifications than relying on purely what the data and statistics are telling you." 

      Read Full Article
    12. Data science is easy; making it work is hard

      In the world of data science, there are three core problems: acquiring data, doing the math and taking action. Two of those drive data scientists crazy; the other one they find easy. “Doing the math” is what most people think of as data science. Algorithms, machine learning, cognitive tools, deep learning and the word stochastic are often not far away. That's the easy bit. Now let me define easy: Data science is easy if you have the right data scientists.

      Read Full Article
    13. Qualcomm's latest technology allows drones to learn about their environment as they fly

      Drones took up a lot of floor (and air) space at the Consumer Electronics Show in Las Vegas this year, but one of the most impressive displays of new drone tech came from Qualcomm. The chipmaker showed off the latest iteration of its Snapdragon Flight Drone Platform, which allows for flight control and machine learning in real time onboard a drone.

      Read Full Article
    14. What is 'alternative data' and how can you use it?

      Krishna Nathan, CIO of S&P Global, explains how 'alternative data,' such as satellite images and foot traffic, can transform a business. There are a number of definitions for "alternative data," but here is Nathan's: "Alternative data draws from non-traditional data sources, so that when you apply analytics to the data, they yield additional insights that complement the information you receive from traditional sources."

      Read Full Article
    1-24 of 239 1 2 3 4 5 6 7 8 9 10 »
  1. Popular Articles