The Data Driven Podcast discusses the acceleration of Artificial Intelligence and MLOps.
Sponsored by Xpresso.ai
Data Driven
Claim This Podcastby Michael Waitze Media
8 episodes
Updated Daily
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Podcast Overview
The Data Driven Podcast discusses the acceleration of Artificial Intelligence and MLOps. Sponsored by Xpresso.ai
Language
🇺🇲
Publishing Since
3/13/2021
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Recent Episodes
August 31, 2021
EP 08 - Iva Gumnishka - Founder and CEO at Humans In the Loop - Something that Seemed Unreachable, Suddenly Became a Possibility
<p><strong>The </strong><a href="https://bit.ly/2P0mC6G" rel="ugc noopener noreferrer" target="_blank">Data Driven Podcast</a> welcomed <a href="https://www.linkedin.com/in/ivagumnishka/" target="_blank">Iva Gumnishka</a>, the Founder and CEO of <a href="https://humansintheloop.org/" target="_blank">Humans In the Loop</a>, a social enterprise that provides ethical humans-in-the-loop workforce solutions to power the AI industry.</p> <p>Some of the topics that Iva and I discussed:</p> <ul> <li>Training artificial intelligence models</li> <li>Where humans come into play in object identification</li> <li>The use of neural networks</li> <li>The importance of taxonomies and classes</li> <li>Model iterations and data drift</li> <li>Data collection in controlled environments versus out in the wild</li> <li>Identifying an object versus understanding the meaning of that object</li> <li>Data annotation is frequently undervalued but is extremely important</li> </ul>
August 15, 2021
EP 07 - Arthur Wandzel - co-Founder and Head of AI at Jamm - Where Do These Epiphanies Come From?
<p>The <a href="https://bit.ly/2P0mC6G" rel="ugc noopener noreferrer" target="_blank">Data Driven Podcast</a> was joined by <a href="" target="_blank">Arthur Wandzel,</a> a co-Founder and the Head of AI at <a href="https://www.gojamm.com/" target="_blank">Jamm</a>. Arthur grew up in Detroit in a house where both of his parents were psychologists. In his words, his parents combined both an emotional and logical outlook. The combination of the robotics (logic) and the human psychology side of his upbringing really inspired his direction.</p> <p>Some of the topics we covered included:</p> <ul> <li>Jamm is fundamentally an IoT dashboard camera that gives you behavioral insights into how you drive that you are able to leverage for car insurance savings</li> <li>Through the understanding of data and the resulting behavioral changes, Jamm may be able to save you money</li> <li>How humans use the sum-total of their experiences to understand the world</li> <li>Standardization is hard to create unless you have some kind of ’Truth’</li> <li>The three pillars Jamm measures are alertness (attention patterns on the road), style (telematic information), and composure</li> <li>Smart cities that adjust to you based on data</li> <li>IoT as the next wave of computers</li> </ul> <p>The restaurant whose name I could not remember (Although I was kind of close...) is <a href="https://en.wikipedia.org/wiki/El_Bulli" target="_blank">El Bulli</a>.</p>
July 18, 2021
EP 06 - Tristan Rouillard - co-Founder at Hasty.ai - Your Competitive Advantage Comes From a Great Data Asset
<p><strong>The </strong><a href="https://bit.ly/2P0mC6G" rel="ugc noopener noreferrer" target="_blank">Data Driven Podcast</a> was joined by <a href="https://bit.ly/36JrbIo">Tristan Rouillard</a>, a co-Founder of <a href="https://bit.ly/3rhF1uQ">Hasty.ai</a>. Hasty.ai supports vision AI practitioners and their evolving needs by developing best-in-class vision AI tools that are supported by a community of machine learning engineers, data scientists, and software developers. (A shout out to the incredible Head of Operations at Hasty.ai, <a href="https://bit.ly/3xU57GY">Lisa Wantig</a>, for helping to make this possible.)</p> <p>Some of the topics that Tristan and I discussed:</p> <ul> <li>The genesis of the idea for Hasty came from the founders' own experiences</li> <li>Manual image labeling and just how time-consuming that is</li> <li>The idea was NOT to change the technology but to change the process</li> <li>The necessity to bring the neural networks into the process earlier on</li> <li>The importance of having a clean data set</li> <li>With Hasty, one is not looking for mistakes in the dataset, but fixing the ones the neural network has found</li> <li>There is no substitute for a ground-truth data set</li> <li>When you are building a product, you are looking for ‘love’ and ‘wow’</li> <li>Hasty is changing a process and that is the hardest thing to change</li> <li>Bringing agile methodology to machine learning</li> <li>How sometimes the biggest competition is the status quo</li> <li>Taking domain-specific assets and leveraging them in a good way</li> <li>Data ownership and one of Hasty’s USPs</li> <li>It is likely that the training data is the differentiator, not the neural network</li> <li>The nuance and complexity of image recognition is yet to be understood</li> <li>The need for data documentation</li> <li>Hasty is teaching machines how to identify and see the world the same way we do</li> <li>Everybody that joins Hasty has to label a data asset</li> </ul> <p><br></p> <p>The quote from <a href="https://bit.ly/3euSWs6" rel="noopener" target="_blank">Alan Nichol</a>, a co-Founder and the CTO of <a href="https://bit.ly/3ewR6al" rel="noopener" target="_blank">Rasa</a>, came from this LinkedIn <a href="https://bit.ly/3ksUgjh" rel="noopener" target="_blank">post</a>.</p>
8 total episodes available
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