AWS Podcast

Learn how AWS certified experts and consulting firms are using AWS IQ to connect with customers for architecture consulting and hands-on project work. In this episode, Simon speaks with Emily Garrett (Sr. Product Manager at AWS), and Vik Korrapati (Software Developer at AWS) about the types of projects on AWS IQ, best practices for working with customers, and tips and tricks to close more leads. Learn more - https://aws.amazon.com/iq/experts/ Read the user guide: https://go.aws/3HJ2EDI

The EXPLORE Data Science Academy (EDSA) is a premier data science academy in South Africa that offers students an intensive one-year training course and provides a fundamental understanding of software development and cloud computing technologies. In this episode, Simon speaks with Clive Charlton (Head of Solution Architecture at AWS) and Shaun Dippnall (CEO & Co-founder of EDSA) about how the academy gives students a competitive edge, and teaches them how to solve real-world problems using the latest emerging data science technologies. Learn more about the AWS Africa Region- https://go.aws/3Jx2HUz Visit the EDSA website: https://explore-datascience.net/

How does building in the cloud make it easier to achieve positive security outcomes? What role does security culture play and how can the department of no become the department of yes? In this episode, Simon speaks with Paul Hawkins from the Office of the CISO at AWS, to answer these questions and share how customers can apply these principles to their own organizations. Read the blog - https://go.aws/3Epu6UL  Watch the video - https://bit.ly/3HbZE27  AWS Security Blog - https://go.aws/3Eql8XB Watch more - https://bit.ly/3FoVcg4

Why do you need AWS certification? How can you practice the Amazon Leadership Principles through AWS certification? In this episode, Simon is joined by Shailaja Suresh, Senior Solutions Architect at AWS to learn more about how AWS certification can help you grow your career and business. Learn more - https://aws.amazon.com/certification/

Accelerating the pace of intelligent automation adoption and new product development without adding new devs is possible with Low Code / No Code solutions. With Low Code / No Code, you can gain development time in multiple ways. One example is reducing your business’s tactical dependence on IT and enabling business users to drive their own digital transformation with drag-and-drop interfaces that abstract the codebase. Meanwhile, a large-scale implementation includes using a software platform to assemble and deploy solutions with minimal or no need for additional code. In this episode, Katie speaks with Madhu Raman, AWS Worldwide Head of Intelligent Automation, to learn about current Low Code / No Code implementations and future possibilities. Listen to episode #485 for an overview of Intelligent Automation at AWS: https://go.aws/30lEFu4 Read the report: https://bit.ly/31Xf5w6

Artificial Intelligence (AI) and Machine learning (ML) is poised to transform virtually every industry; however there are currently not enough trained ML developers to meet this demand and far fewer from backgrounds underrepresented in tech. In this episode, Nicki talks with Adriana Gascoigne (CEO and Founder of GirlsInTech) and Maryam Rezapoor (Sr. Product Manager at AWS) about opportunities to close this gap with the AWS AI & ML Scholarship Program in collaboration with Intel and Udacity, best practices within the space, and more. Read the blog: https://go.aws/3pJm2sV Learn more: https://go.aws/3IyhgXG DeeprRacer Student: https://go.aws/3dERcvz GirlsInTech: https://bit.ly/336MxR7

Are you interested in experimenting with machine learning (ML), but don't know where or how to begin? Now in preview, the new Amazon SageMaker Studio Lab is a free, no-configuration service built to reduce friction when getting started with ML. In this episode, Nicki speaks with Brian Granger, one of the founders of Jupiter Notebooks, about Amazon SageMaker Studio Lab, why we built it, and more. Read the blog: https://go.aws/32ZhJSi Learn more: https://go.aws/3dsJgh9 Sign up for to preview: https://bit.ly/31Lk03a

In this episode, Nicki talks with Bala Thekkedath (Principal Product Marketing Manager) about AWS Private 5G, the exciting new service now in preview, that helps enterprises set up and scale private 5G mobile networks in their facilities in days instead of months. With just a few clicks in the AWS console, customers specify where they want to build a mobile network and the network capacity needed for their devices. Listen to this episode to learn more about the service, when and why you should consider a private 5G network, and how to sign up for a preview. Read the blog: https://go.aws/3Dt29et Watch the video: https://bit.ly/3lKDbB8 Learn more: https://go.aws/3EDXI1G Sign up to preview: https://bit.ly/3EzkxDP

We know it is an important and challenging security best practice to proactively identify software vulnerabilities and unintended network accessibility in our environments so that critical findings can be remediated quickly. In this episode Nicki finds out from three experts, Rick Anthony (General Manager), Kashish Wadhwa (Inspector Product Manager), and Sravan Rengarajan (ECR Product Manager) how the new Amazon Inspector has been rearchitected to make it only a few clicks to deploy and manage a vulnerability management solution that continually scans your Amazon EC2 instances and container images residing in Amazon ECR to find vulnerabilities in near real-time. They also discuss how easy it is to operationalize and automate the findings to reduce the mean time to remediate critical vulnerabilities. Read the blog post- https://go.aws/31CW55z Watch the intro video- https://bit.ly/3y867rS Learn more - https://aws.amazon.com/inspector/ Leave audio feedback - https://d1ox81nm0qxip8.cloudfront.net/index.html

Amazon Ads operates its ad serving infrastructure at massive scale, handling hundreds of millions of ad requests per second (trillions of ads per day) within a latency budget of 120 milliseconds. They use machine learning to predict relevant ads to show shoppers, predict whether shoppers will click or purchase, and allocate and price an ad. In this episode, Simon talks with Kun Liu, Director of Machine Learning at Amazon Ads, about how his team uses machine learning running on AWS to score thousands of ads per request within a 20ms window at over 100K transactions per second, all across hundreds of models that each required different hardware and software optimizations. Learn more about Amazon Ads - https://advertising.amazon.com/ Read the blog - https://go.aws/31rPqM3 Learn more about AWS solutions for advertising & marketing - https://aws.amazon.com/advertising-marketing/