Geospatial Machine Learning at AWS with Kumar Chellapilla - #607

Geospatial Machine Learning at AWS with Kumar Chellapilla - #607

Today we continue our re:Invent 2022 series joined by Kumar Chellapilla, a general manager of ML and AI Services at AWS. We had the opportunity to speak with Kumar after announcing their recent addition of geospatial data to the SageMaker Platform. In our conversation, we explore Kumar’s role as the GM for a diverse array of SageMaker services, what has changed in the geospatial data landscape over the last 10 years, and why Amazon decided now was the right time to invest in geospatial data. We discuss the challenges of accessing and working with this data and the pain points they’re trying to solve. Finally, Kumar walks us through a few customer use cases, describes how this addition will make users more effective than they currently are, and shares his thoughts on the future of this space over the next 2-5 years, including the potential intersection of geospatial data and stable diffusion/generative models. The complete show notes for this episode can be found at twimlai.com/go/607

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Information Extraction from Natural Document Formats with David Rosenberg - TWiML Talk #126

Information Extraction from Natural Document Formats with David Rosenberg - TWiML Talk #126

In this episode, I’m joined by David Rosenberg, data scientist in the office of the CTO at financial publisher Bloomberg, to discuss his work on “Extracting Data from Tables and Charts in Natural Docu...

9 Apr 201845min

Human-in-the-Loop AI for Emergency Response & More w/ Robert Munro - TWiML Talk #125

Human-in-the-Loop AI for Emergency Response & More w/ Robert Munro - TWiML Talk #125

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Systems and Software for Machine Learning at Scale with Jeff Dean - TWiML Talk #124

Systems and Software for Machine Learning at Scale with Jeff Dean - TWiML Talk #124

In this episode I’m joined by Jeff Dean, Google Senior Fellow and head of the company’s deep learning research team Google Brain, who I had a chance to sit down with last week at the Googleplex in Mou...

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Semantic Segmentation of 3D Point Clouds with Lyne Tchapmi - TWiML Talk #123

Semantic Segmentation of 3D Point Clouds with Lyne Tchapmi - TWiML Talk #123

In this episode I’m joined by Lyne Tchapmi, PhD student in the Stanford Computational Vision and Geometry Lab, to discuss her paper, “SEGCloud: Semantic Segmentation of 3D Point Clouds.” SEGCloud is a...

29 Mars 201836min

Predicting Cardiovascular Risk Factors from Eye Images with Ryan Poplin - TWiML Talk #122

Predicting Cardiovascular Risk Factors from Eye Images with Ryan Poplin - TWiML Talk #122

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Reproducibility and the Philosophy of Data with Clare Gollnick - TWiML Talk #121

Reproducibility and the Philosophy of Data with Clare Gollnick - TWiML Talk #121

In this episode, i'm joined by Clare Gollnick, CTO of Terbium Labs, to discuss her thoughts on the “reproducibility crisis” currently haunting the scientific landscape. For a little background, a “Nat...

22 Mars 201838min

Surveying the Connected Car Landscape with GK Senthil - TWiML Talk #120

Surveying the Connected Car Landscape with GK Senthil - TWiML Talk #120

In this episode, I’m joined by GK Senthil, director & chief product owner for innovation at Toyota Connected. GK and I spoke about some of the potential opportunities and challenges for smart cars. We...

19 Mars 201830min

Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang

Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang

In this episode, I’m joined by Ian Goodfellow, Staff Research Scientist at Google Brain and Sandy Huang, Phd Student in the EECS department at UC Berkeley, to discuss their work on the paper Adversari...

15 Mars 201847min

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