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

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

Technology

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

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

2019-10-18
Download Right click and do "save link as"

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.

view more

More Episodes

How a Global Energy Company Adopts ML & AI with Nicholas Osborn - TWiML Talk #150
2018-06-14
Problem Formulation for Machine Learning with Romer Rosales - TWiML Talk #149
2018-06-11
AI for Materials Discovery with Greg Mulholland - TWiML Talk #148
2018-06-07
Data Innovation & AI at Capital One with Adam Wenchel - TWiML Talk #147
2018-06-04
Deep Gradient Compression for Distributed Training with Song Han - TWiML Talk #146
2018-05-31
Masked Autoregressive Flow for Density Estimation with George Papamakarios - TWiML Talk #145
2018-05-28
Training Data for Computer Vision at Figure Eight with Qazaleh Mirsharif - TWiML Talk #144
2018-05-25
Agile Data Science with Sarah Aerni - TWiML Talk #143
2018-05-24
Tensor Operations for Machine Learning with Anima Anandkumar - TWiML Talk #142
2018-05-23
Deep Learning for Live-Cell Imaging with David Van Valen - TWiML Talk #141
2018-05-22
Checking in with the Master w/ Garry Kasparov - TWiML Talk #140
2018-05-21
Exploring AI-Generated Music with Taryn Southern - TWiML Talk #139
2018-05-17
Practical Deep Learning with Rachel Thomas - TWiML Talk #138
2018-05-14
Kinds of Intelligence w/ Jose Hernandez-Orallo - TWiML Talk #137
2018-05-10
Taming arXiv with Natural Language Processing w/ John Bohannon - TWiML Talk #136
2018-05-07
Epsilon Software for Private Machine Learning with Chang Liu - TWiML Talk #135
2018-05-04
Scalable Differential Privacy for Deep Learning with Nicolas Papernot - TWiML Talk #134
2018-05-03
Differential Privacy at Bluecore with Zahi Karam - TWiML Talk #133
2018-05-01
Differential Privacy Theory & Practice with Aaron Roth - TWiML Talk #132
2018-04-30
Optimal Transport and Machine Learning with Marco Cuturi - TWiML Talk #131
2018-04-26
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