Organizations use their data to make better decisions and build innovative experiences for their customers. With the exponential growth in data, and the rapid pace of innovation in machine learning (ML), there is a growing need to build modern data applications that are agile and scalable. In this episode, Jillian is joined by Vara Bonthu, Principal Solution ... Show More
Yesterday
#747: Unpacking Automated Reasoning: From Mathematical Logic to Practical AI Security
Discover how AWS leverages automated reasoning to enhance AI safety, trustworthiness, and decision-making. Byron Cook (Vice President and Distinguished Scientist) explains the evolution of reasoning tools from limited, PhD-driven solutions to scalable, user-friendly systems embed ... Show More
38m 2s
Nov 10
#745: Accelerating Cloud Migration: How Occidental Petroleum Transformed with Terraform and AFT
This episode features a deep dive into Occidental Petroleum’s cloud migration journey, emphasizing automation and scalability. Brian Moore, a Cloud Architect at Occidental Petroleum, discusses how they used Terraform and AFT to streamline account provisioning, manage complex netw ... Show More
20m 19s
Jun 2021
Accelerating ML Training And Delivery With In-Database Machine Learning
<div class="wp-block-jetpack-markdown"><h2>Summary</h2>
<p>When you build a machine learning model, the first step is always to load your data. Typically this means downloading files from object storage, or querying a database. To speed up the process, why not build the model in ... Show More
1h 5m
Aug 2022
An Exploration Of The Expectations, Ecosystem, and Realities Of Real-Time Data Applications
<div class="wp-block-jetpack-markdown"><h2>Summary</h2>
<p>Data has permeated every aspect of our lives and the products that we interact with. As a result, end users and customers have come to expect interactions and updates with services and analytics to be fast and up to date ... Show More
1h 6m
Mar 2022
Bayesian Machine Learning with Ravin Kumar (Ep. 191)
<p>This is one episode where passion for math, statistics and computers are merged.
I have a very interesting conversation with Ravin, data scientist at Google where he uses data to inform decisions.</p>
<p>He has previously worked at Sweetgreen, designing systems that would b ... Show More
31m 12s
Sep 2021
Declarative Machine Learning Without The Operational Overhead Using Continual
<div class="wp-block-jetpack-markdown"><h2>Summary</h2>
<p>Building, scaling, and maintaining the operational components of a machine learning workflow are all hard problems. Add the work of creating the model itself, and it’s not surprising that a majority of companies th ... Show More
1h 11m