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  • Big data digest: The backlash begins
    via iwebguyblog.wordpress

    Big data may have just crested the wave of inflated expectations and be barrelling towards the trough of disillusionment, at least if you’re following along with the Gartner Hype Cycle. In other words, some practitioners are beginning to doubt the marketing...

  • By Bob Gourley Strata and Hadoop World is coming!  It will be held 28-30 Oct in NYC. If your organization uses information and if you play a role in collecting, moving, storing security and/or analyzing it, come interact with your peers from other...

  • Per Stenius, PhD, CEO Reddal Inc., per.stenius@reddal.com, and Seoweon Yoo, seoweon.yoo@reddal.com. See also www.reddal.com By now most people have heard about Big Data – it is and has been a big deal since the early 2010s, although the biggest hype...

  • This is the third installment in a four-part review of 2016 in machine learning and deep learning. In Part One, I covered Top Trends in the field, including concerns about bias, interpretability, deep learning’s explosive growth, the democratization...

  • Utopia is defined as “an imagined place or state of things in which everything is perfect.” However, perfection is  rather illusive and frivolous concept. What is important is the very concept which is ultimately what you hope to achieve with one of...

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  • If you’re a data professional like me, you’re probably hearing “Enterprise AI” at least ten times a day. But let’s be honest, what does it really mean? And more importantly, what should we actually be doing about it? Here’s something I’ve learned, often...

  • 1:1’s, psychological safety, clear goals, timely feedback are tablestakes and assuming, they are already in your bag. What turns a brand‑new data manager into someone execs can’t live without are the high‑leverage moves below. Steal them and start earning...

  • The conversation in the data world is evolving. Today, being “data-led” means using data as your compass, not just your engine. Data-led organizations don’t blindly follow the numbers. Instead, they let data inform, inspire, and challenge their thinking...

  • Most data scientists spend years getting better at modeling, coding, and building dashboards. But many hit a plateau because they overlook something just as important: getting feedback early and often. If you want to grow faster, build smarter, and...

  • Ever try to replicate Amazon’s famous Weekly Business Review (WBR), only to find it eats up hours and yields little action? You’re not alone. A WBR can be a game-changer when done right. But without the right structure, ownership, and preparation, it...

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