Remove case-studies debt-collections-process-optimization-using-ai
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Bringing an AI Product to Market

O'Reilly on Data

The Core Responsibilities of the AI Product Manager. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle. If you’re an AI product manager (or about to become one), that’s what you’re signing up for. The worst case scenario is when a business doesn’t have any metrics.

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Data Science, Past & Future

Domino Data Lab

why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”. If you have a smartphone, use the QR code, you can load it up on your phone. Back to my talk.

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Themes and Conferences per Pacoid, Episode 6

Domino Data Lab

We’ll unpack curiosity as a core attribute of effective data science, look at how that informs process for data science (in contrast to Agile, etc.), Some vendors showcased their customer use cases. Please join us and other teams to explore how data science teams work and work together! Yeah, not so much. Of course!!”

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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

Several technology conferences all occurred within four fun-filled weeks: Strata SF , Google Next , CMU Summit on US-China Innovation, AI NY , and Strata UK , plus some other events. For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way.

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Themes and Conferences per Pacoid, Episode 7

Domino Data Lab

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise. Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. How companies are building sustainable AI and ML initiatives ”.

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9 ways developer productivity is boosted by generative AI

IBM Big Data Hub

Software development is one arena where we are already seeing significant impacts from generative AI tools. A McKinsey study claims that software developers can complete coding tasks up to twice as fast with generative AI. Generative AI is just one tool in the toolbelt.

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