This list celebrates changemakers creating meaningful impact through leadership, innovation, fresh perspectives, transformative mindsets, and lessons that resonate far beyond the workplace.
In this issue, we are going to discuss our hopes and wishes for 2026…backed by data. I collect great perspectives on the world of Enterprise Tech, and I want to share some of the best I found this past end-of-the-year season.
Most enterprise AI failures aren’t caused by bad models. They’re caused by teams trying to scale automation on top of search-era infrastructure. This article is about what breaks after the demo and what you have to build differently.
lt;pgt;At the risk of sounding sacreligious, is Open Data really delivering effective evidence-based policy? And is it worth the privacy risk, now that de-identification is proving...
lt;pgt;AWS uses re:Invent to launch Aurora upgrades, Neptune graph DB service, the SageMaker ML environment and much more. Here’s my advice for re:Invent 2018.lt;/pgt;
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