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Data Science, Past & Future

Domino Data Lab

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

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PODCAST: Making AI Real – Episode 1: AI enabled Revenue Management for CPG powered by BRIDGEi2i Watchtower

bridgei2i

PODCAST: Making AI Real. You are listening to AI to Impact by BRIDGEi2i, a podcast on Making AI Real. In this podcast series, we will delve into the details of the Watchtower and its applications in various business domains. Welcome to the first podcast in the Watchtower series. Listening time: 12 minutes. Subscribe Now.

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Stress Free Goal Setting with Deb Eckerling

Data Science 101

Start a Blog, Start and Podcast, You can do it! Whether that’s a podcast you want to create, a live show or a blog, or any type of content that you want to create, we talk about that on this show and I’m super excited today to have to have our guest and I, I’m so excited, I wrote down. Do I do podcasting?

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Meet the newest Data Superheros: The Sixth Annual Data Impact Awards Finalists Are…

Cloudera

Here’s what a few our judges had to say after reviewing and scoring nominations: “The nominations showed highly creative, innovative ways of using data, analytics, data science and predictive methodologies to optimize processes and to provide more positive customer experiences. ” – Cornelia Levy-Bencheton.

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Themes and Conferences per Pacoid, Episode 5

Domino Data Lab

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. He is also the Co-Chair of the upcoming Data Science Leaders Summit, Rev. Learning Data Science.

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And the winners are…. Congratulations to the Sixth Annual Data Impact Awards winners

Cloudera

These awards recognize organizations that transform complex data into actionable insights and illustrate impact to technology, science, health, lifestyle, and community across a wide variety of industries. — Mike Barlow, author of “Learning to Love Data Science” (O’Reilly Media).

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Generative AI in the Enterprise

O'Reilly on Data

When coupled with a speech-to-text service, it can do a passable job of creating meeting notes or even podcast transcripts. The LLaMA-family models also fall into the “so-called open source” category that restricts what you can build. We weren’t surprised that AI programming (66%) and data analysis (59%) are the two most needed.