predictive analytics

  • Why the promise of big data hasn’t delivered yet Crunch Network

    Why the promise of big data hasn’t delivered yet

    The ubiquity of big data is such that Gartner dropped it from their Hype Cycle of Emergent Technologies back in 2015. Across sectors, businesses are scrambling to make every function “data driven,” and there’s no shortage of firms lining up to help them. The big data analytics industry is worth $122 billion — and growing. Read More

  • Glint raises $27 million to stop solid employees from bailing

    Glint raises $27 million to stop solid employees from bailing

    Redwood City-based Glint has raised $27 million in a Series C round of venture funding for software that helps companies figure out how their teams are experiencing problems, or why and when solid employees may leave, undesirably. Glint replaces the traditional 360-review tools used by corporate HR teams and executives with short, anonymous surveys sent out once in a while to specific groups… Read More

  • Big data’s humble beginnings Crunch Network

    Big data’s humble beginnings

    Clicks. Once upon a time they were the most powerful tool in assessing online ad performance. A humble beginning, but much has changed. The data-driven measurement and predictive analytics technologies that launched adtech and expanded to marketing are now being applied to nearly everything — and yet, it’s easy to forget the road that led here. Read More

  • How predictive analytics discovers a data breach before it happens Crunch Network

    How predictive analytics discovers a data breach before it happens

    Cybersecurity experts are constantly trying to keep pace with changes in the volatile landscape of IT security. Despite sophisticated tools and solutions, every IT security officer knows that data breaches eventually happen — and they usually go undetected for a long time. What if we could stay ahead of threat actors and predict their next attack before they take their first… Read More

  • Getting predictive about politics (and everything else) Crunch Network

    Getting predictive about politics (and everything else)

    Nearly seven decades after the Chicago Tribune’s infamous presidential race headline, we’re still seeing incorrect predictions in political races. Take the 2016 Iowa caucus for example, where Ted Cruz triumphed despite expert predictions to the contrary. It’s enough to make you wonder: What data is used to create these predictions? And with today’s technology, why… Read More

  • Why Decision Science Matters Crunch Network

    Why Decision Science Matters

    Nearly everyone is familiar with the DirecTV commercials in which actor Rob Lowe and NFL quarterbacks Eli Manning and Tony Romo appear as unflattering alter-egos of themselves — “peaked in high school” Rob Lowe, “bad comedian” Eli Manning, “artsy craftsy” Tony Romo, etc. The burgeoning adoption of data science in companies like Uber, Netflix and… Read More

  • The Challenges Of Building AI Apps Crunch Network

    The Challenges Of Building AI Apps

    Artificial intelligence has an intellectual lineage stretching back to the greats of computer theory: Turing and, ultimately, Babbage, inventor of the calculating machine. What we now see in London, where leading teams such as DeepMind are working on machine learning, is the movement from the realm of computer science to practical uses and business cases. Read More

  • Is Enterprise Hyper Growth The New Normal? Crunch Network

    Is Enterprise Hyper Growth The New Normal?

    The enterprise cloud has entered a new era of hyper growth thanks to a combination of dramatically expanded global markets, access to unprecedented later-stage private growth capital and the ability to scale sales organizations with remote talent. Read More