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Data engineers vs. data scientists

O'Reilly Media - Data

The two positions are not interchangeable—and misperceptions of their roles can hurt teams and compromise productivity. It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data.

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The Best Product Engineering Org in the World

James Shore

Kent Beck concluded , Measure developer productivity? My favorite discussion of the topic is Robert Austins, who wrote Measuring and Managing Performance in Organizations. He says a measurement based approach generates relatively weak improvements and significant distortion of incentives. Not possible. What does that look like?

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Coaching IT pros for leadership roles

CIO

But how do you prepare others on your team for this next career step? Because if you don’t do the upfront work to prepare your team to take the helm, you won’t have anyone to fill those seats when you want to move up — or step down. I spoke to IT executives and leadership coaches for tips on how to develop the leaders on your team.

CTO Coach 190
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Greeks to Geeks: What Plato Says About Bettering Your Team Culture

Hacker Earth Developers Blog

Two and a half millennia later, we were now using the ancient basis for illness to describe employee personalities, and what we could do to better team culture in the workplace. This is, of course, an overly simplified explanation of what philosophers both modern and old have struggled to understand. Hippocrates, who?

Culture 130
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Bjorn Freeman-Benson: Three Challenges of Distributed Teams

James Shore

Distributed teams. Highlights of his career include heading up engineering at New Relic as it grew from 3 developers to 330; growing Invision from 60 developers to 350 as its CTO; working on VisualAge Smalltalk at OTI (Object Technology International); and coordinating the open-source Eclipse developers at the Eclipse Organization.

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Bringing an AI Product to Market

O'Reilly Media - Ideas

The Core Responsibilities of the AI Product Manager. Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle.

Marketing 145
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Now In Tech: AI, Assessments, And The Great Over-Correction

Hacker Earth Developers Blog

Gone is the massive workforce that came to a workplace boasting three-course meals in the cafeteria and needed yoga rooms and sleeping pods to function. Companies across the board are reviewing their team structures, looking for removable cushioning, cutting down on middle management, and wanting to do more with less.