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Live from TWIMLcon! Scaling ML in the Traditional Enterprise - #309

Live from TWIMLcon! Scaling ML in the Traditional Enterprise - #309

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)


Live from TWIMLcon! Scaling ML in the Traditional Enterprise - #309

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

ratings:
Length:
34 minutes
Released:
Oct 18, 2019
Format:
Podcast episode

Description

In this episode from a stellar TWIMLcon panel, the state and future of larger, more established brands is analyzed and discussed. Hear from Amr Awadallah, Founder and Global CTO of Cloudera, Pallav Agrawal, Director of Data Science at Levi Strauss & Co., and Jürgen Weichenberger, Data Science Senior Principal & Global AI Lead at Accenture, moderated by Josh Bloom Professor at UC Berkeley. In this episode we discuss: For an ML/AI initiative to be successful, a conscious and noticeable shift is now required in how things used to be managed while educating cross-functional teams in data science terms and methodologies  It can be tempting and exciting to constantly be trying out the latest technologies, but brand consistency and sustainability is imperative to success How the real business value - the money - can be found by putting your big ML/AI goals and projects in the core competencies of the company.   Are traditional enterprises fundamentally changing their business through ML/AI, and if so, why?  Real-world examples and thought-provoking ideas for scaling ML/AI in the traditional enterprise The complete show notes can be found at twimlai.com/talk/309.
Released:
Oct 18, 2019
Format:
Podcast episode

Titles in the series (100)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.