Aws Podcast

Our re:Invent 2023 coverage continues! In this episode, Jillian Forde shares highlights from re:Invent Day 3, focusing on the profound and impactful relationship between humans, data, and AI that is unfolding right before us.

Our re:Invent 2023 coverage continues! In this episode, Jillian Forde shares highlights from Day 2 of re:Invent, including some big announcements from AWS CEO Adam Selipsky’s keynote.

It’s the most re:Invent time of the year! Simon guides you through the most exciting announcements from Peter DeSantis’ keynote, where he dives deep into the engineering that powers AWS services. PLUS Simon catches you up on 100 other announcements in just 30 minutes!!

Explore everything AWS re:Invent had to offer this November 27th through December 1st 2023! Join Simon Elisha and Jillian Forde as they share their tips to use your time efficiently and discover content that is most relevant to your interests wether you are in Las Vegas or joining remotely. Schedule your event using the session catalog found here: https://reinvent.awsevents.com/session-catalog/

Lots of interesting updates to hear about this week! Chapters: Analytics (00:45); Application Integration (04:07); Cost Management (09:05); Developer Tools (12:20); End User Computing (13:22); Font End Web & Mobile (14:03); Internet of Things (14:13); Machine Learning (14:42); Management & Governance (17:05); Migration & Transfer (19:49); Networking & Content Delivery (20:42); Security, Identity, & Compliance (21:26); Storage (22:03) https://d29iemol7wxagg.cloudfront.net/638ExtendedShownotes.html

Tune in to listen to Jillian Forde and Jake Siddall (AWS Senior Product Manager) dive deep into a new service called Amazon EC2 Capacity Blocks for ML. EC2 Capacity Blocks enable you to reserve GPU instances in Amazon EC2 UltraClusters to run ML workloads. Amazon EC2 Capacity Blocks for ML product details: https://bit.ly/3StmbR8

For time-strapped data teams looking to simplify analytics on large transactional data, Amazon Aurora's seamless integration with Amazon Redshift is a game-changer. Tune in to listen to chat with, Jyoti Aggarwal (Product Management lead for Amazon Redshift zero-ETL), Adam Levin (Principal Product Manager on the Amazon Aurora) for a new service called Amazon Aurora with Amazon Redshift Integration. Amazon Aurora with Amazon Redshift Integration is a capability that enables organizations to run analytics directly against their Amazon Aurora transactional data, without needing to manage complex ETL pipelines.

75 Updates this episode! It is an exciting ride! 00:59 AWS Marketplace 01:26 Analytics 04:48 Application Integration 06:30 Blockchain 06:56 Compute 09:22 Databases 13:07 Developer Tools 14:31 End User Computing 15:47 Internet of Things 16:37 Machine Learning 20:12 Management & Governance 21:55 Media Services 22:10 Migration & Transfer 24:50 Security, Identity, & Compliance Shownotes: https://d29iemol7wxagg.cloudfront.net/635ExtendedShownotes.html

Explore the transformative power of generative AI in businesses. In this episode, our host, Jillian Forde, is joined by Gopinath Sankaran (Vice President Strategic Cloud Ecosystems at Informatica) to discuss all things generative AI. We talk about generative AI's varied applications across functional areas like business operations and customer experience and explore the importance of a strong data foundation for generative AI. Fuel innovation with data and AI: https://go.aws/3MpV3yE

A great mix of updates this episode. Developers, data folks, video folks, lots for everyone! 00:22 Analytics 03:48 Application Integration 07:07 Compute 12:14 Customer Engagement 12:43 Database 14:42 Developer Tools 16:03 End User Computing 16:50 Front End Web & Mobile 17:40 Internet of Things 19:07 Machine Learning 22:53 Management & Governance 25:55 Media Services 26:28 Networking & Content Delivery 28:47 Security, Identity, & Compliance 30:09 Supply Chain Shownotes: https://d29iemol7wxagg.cloudfront.net/634ExtendedShownotes.html

Experience-Based Acceleration (EBA) is an AWS program to accelerate cloud journeys. Today Jillian Ford speaks with Bilal Shirazi (Principal EBA Lead North America) and Rughved Gadgil (Senior Solutions Architect) and explores the benefits of EBA to overcome barriers in your cloud projects. Whether you’re just getting started or in the middle of a migration, learn how EBA’s can achieve outcomes in days not months. Deliver your first ML use case in 8–12 weeks (blog post): https://go.aws/3Qmfzm1 Level up your Cloud Transformation with Experience-Based Acceleration (EBA) (blog post): https://bit.ly/3Qrk2nG

Simon Elisha is joined by Leif Reinert, Principal Product Manager Tech at AWS, to discuss how Amazon EC2 P5 instances with NVIDIA H100 GPUs can accelerate your ML training and HPC workloads, helping you get results faster and reduce costs. About Amazon EC2 P5 Instances: https://bit.ly/3Q0Dkie Amazon EC2 P5 Instances Powered by NVIDIA H100 Tensor Core GPUs for Accelerating Generative AI and HPC Applications (blog post): https://bit.ly/3Fp3nLc

We wish Hawn farewell on this episode as the moves to pastures new. And we share a HEAP of great updates. Chapters: 01:57 Analytics 06:51 Application Integration 08:36 Business Applications 09:20 Compute 12:18 Customer Engagement 12:46 Databases 15:53 Developer Tools 17:13 Front End Web & Mobile 18:48 Game Tech 20:00 Internet of Things 21:43 Machine Learning 26:00 Management & Governance 28:13 Migration & Transfer 31:27 Security, Identity, & Compliance Shownotes: https://d29iemol7wxagg.cloudfront.net/630ExtendedShownotes.html

Amazon EC2 M7a, C7a, and R7a instances -- powered by 4th Generation AMD EPYC processors -- deliver up to 50% higher performance compared to the previous gen. Today Hawn is joined by Sinem Gulbay, Senior Product Manager here at AWS, to dive into the benefits of these new instances, their technical specs, and when, why, and how you should leverage them.

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 Solutions Architect, and Alex Lines, Sr. Containers Specialist, to talk through why Kubernetes is becoming a popular choice for modernizing data applications, like batch processing and ML. They also discuss how AWS's open-source project, Data on EKS, helps customers build and test common use cases, like batch processing with Apache Spark or training an ML language model, to decrease the time it takes to get to production. Data on EKS website: https://awslabs.github.io/data-on-eks/ Data on EKS GitHub repository: https://github.com/awslabs/data-on-eks Data on EKS blog: https://go.aws/46bD1b8

How you do know which data is available, where it is stored, or how to begin getting access to the best data? In this episode, Jillian is joined by Shikha Verma (Head of Product Amazon DataZone) and Amir Bar-Or (Principal Engineer, Amazon DataZone) to help you learn about a new service, Amazon DataZone, which helps you govern data access across organizational boundaries. Getting Started with Amazon DataZone (blog post): https://go.aws/3Q1SHrL YouTube playlist: https://www.youtube.com/playlist?list=PLhr1KZpdzuketYaoX3WAz5lIOCTkI3wXJ

Lots of interesting updates this week - will there be something you can use? Chapters: 00:43 AWS Marketplace 01:54 Analytics 04:07 Application Integration 06:43 Compute 11:10 Cost Management 11:40 Customer Engagement 13:33 Databases 14:42 Developer Tools 17:07 Front End Web & Mobile 18:57 Machine Learning 22:49 Management & Governance 24:23 Media Services 24:51 Networking & Content Delivery 25:30 Security, Identity, & Compliance 28:10 Storage Shownotes: https://d29iemol7wxagg.cloudfront.net/626ExtendedShownotes.html

AWS Application Composer helps teams collaborate as they build well-architected applications backed by Infrastructure-as-Code using a visual canvas. Today, Simon is joined by Ryan Coleman, Principal Product Manager at AWS, to learn how Application Composer can help developers quickly, and iteratively, build applications through the software development lifecycle. They discuss the evolution of the space, what problems led to building the service, and the interesting ways teams are using it to build highly scalable, resilient, and secure applications. Application Composer resources: https://go.aws/453VCEM

DeepLearning.AI and AWS have jointly launched “Generative AI with large language models”, a new hands-on course that prepares data scientists and engineers to become experts in selecting, training, fine-tuning, and deploying LLMs for real-world applications. Tune into this episode, with host Jillian Forde, to hear from Tommy Nelson (DeepLearning.AI) and Antje Barth (AWS) the course highlights, prerequisites, and some fun behind-the-scenes details. DeepLearning .AI website: https://bit.ly/48uGxz6

AWS AppSync is a serverless GraphQL and Pub/Sub's APIs that simplify application development through a single endpoint to securely query, update, or publish data. Tune in to listen to Hawn Nguyen-Loughren, Sr. Manager, Solutions Architect and Venugopalan Vasudevan, Sr. Specialist Solutions Architect discuss cross-team API development considerations for enterprises, introduce AWS AppSync, dive deeper into how AWS AppSync enables enterprise developer teams to consolidate APIs owned and managed by independent teams into a single, federated API exposed to clients, and how this helps setup crucial guardrails to promote team collaboration and performance at scale. Merged APIs on AWS AppSync blog: https://bit.ly/3Rvp3fU AWS AppSync Merged APIs developer guide: https://bit.ly/3RxPd1p