Date: 2024-08-22; Time: 10:00-12:00 EST. AWS Discovery Day - Introduction to Prompt Engineering.

Date: 2024-08-22; Time: 10:00-12:00 EST. AWS Discovery Day - Introduction to Prompt Engineering.

Dive into this AWS session with Rick Sears, General Manager of Amazon Athena, EMR, and Lake Formation at AWS, and Martin Holste, CTO Cloud and AI at Trellix. Explore how Trellix uses Amazon Bedrock and AWS EMR to revolutionize security operations. Learn how generative AI and comprehensive data strategies enhance threat detection and automate security processes, driving a new era of efficiency and protection. Discover practical AI applications and real-world examples, and get ready to accelerate your AI journey with AWS.

Speakers: Martin Holste, CTO Cloud and AI, Trellix Rick Sears, General Manager of Amazon Athena, EMR, and Lake Formation, Amazon Web Services

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ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

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In this session, Rick Sears, General Manager of Amazon Athena, EMR, and Lake Formation at AWS, explores how generative AI is revolutionizing businesses and the critical role data plays in this transformation. He discusses the evolution of AI models and the importance of a comprehensive data management strategy encompassing availability, quality, and protection of data.

Mark Greville, Vice President of Architecture at Workhuman, shares insights from Workhuman's journey in building a robust cloud-based data strategy, emphasizing the significance of storytelling, demonstrating value, and gaining executive support.

Kamal Sampathkumar, Senior Manager of Data Architecture at Workhuman, delves into the technical aspects, detailing the architecture of Workhuman's data platform and showcasing solutions like Data API and self-service reporting that deliver substantial value to customers.

Learn more at: https://go.aws/3x2mha0

Learn more about AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

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Session on exploring Amazon BedRock and Amazon Q within GenAI on AWS.

Discussion on customization methods for secure, scalable AI solutions on AWS.

Learn the fundamentals of DevOps best practices and how to continuously deploy cloud resources. Walk through configuring Pulumi GitHub Actions to deploy AWS resources programmatically.

Join Kirk and Joe, as they Detail Joe's journey from a farm in Michigan, to leading a data center company in Dallas. Transitioning from tech roles at Disney and Amazon to spearheading AWS's expansion into Asia and how it changed his decision-making approach. They also speak on optimizing data center locations for connectivity and efficiency and explore the data center industry's evolution. They emphasize the fusion of cloud computing and AI and the growing demand for skilled professionals in companies like Digital Bridge and Databank. They also discuss the societal impact of technology in education and healthcare, envisioning AI's role in revolutionizing service delivery through energy solutions like hydrogen and geothermal sources. Wrapping up they discuss its impact on industries like weather prediction and drug development, emphasizing the need for employee investment and growth-centric cultures.

Thank you to our Title Sponsor MCIS - Mission Critical Interior Solutions, Inc. provides interior architectural solutions for data, cloud, and mission critical centers across North America. We offer everything from polished, epoxy, and sealed concrete to raised flooring, hot/cold aisle containment, and high-density ceiling grid. We also install raised access flooring in office spaces and provide underfloor air distribution testing to commission spaces - https://mcis-inc.com

For more about us: https://linktr.ee/overwatchmissioncritical

OpenLineage is an open standard for lineage data collection, integrated into the Airflow codebase, facilitating lineage collection across providers like Google, Amazon, and more. Atlan Data Catalog is a 3rd generation active metadata platform that is a single source of trust unifying cataloging, data discovery, lineage, and governance experience. We will demonstrate what OpenLineage is and how, with minimal and intuitive setup across Airlfow and Atlan, it presents unified workflows view, efficient cross-platform lineage collection, including column level, in various technologies (Python, Spark, dbt, SQL etc.) and clouds (AWS, Azure, GCP, etc.) - all orchestrated by Airflow. This integration enables further use case unlocks on automated metadata management by making the operational pipelines dataset-aware for self-service exploration. It also will demonstrate real world challenges and resolutions for lineage consumers in improving audit and compliance accuracy through column-level lineage traceability across the data estate. The talk will also briefly overview the most recent OpenLineage developments and planned future enhancements.

In his presentation, Elad will provide a novel take on Airflow, highlighting its versatility beyond conventional use for scheduled pipelines. He’ll discuss its application as an on-demand tool for initiating and halting jobs, mainly in the Data Science fields, like dataset enrichment and batch prediction via API calls, complete with real-time status tracking and alerts. The talk aims to encourage a fresh approach to Airflow utilization but will also delve into the technical aspects of implementing DAG triggering and cancellation logic. What will the audience learn: Real-life use case of leveraging Airflow capabilities beyond traditional pipeline scheduling, with innovative integration as the infrastructure for ML Platform. Trigger on-demand DAGs through API. Cancel running DAGs. Demonstration of an end-to-end ML pipeline utilizing AWS Sagemaker for batch predictions. Some more Airflow best practices. Join us to learn from Wix’s experience and best practices!

It has been nearly 4 years since the launch of Managed Workflows for Apache Airflow (MWAA) by AWS. It has gone through the trials and tribulations as with any new idea, working with customers to better understand its shortcomings, building dedicated teams focused on scaling and growth, and at its core, preserving the integrity and functionality of Apache Airflow. Initially launched with Airflow 1.10, MWAA is now available globally in multiple AWS regions supporting the latest version of Airflow along with a multitude of features. In this talk, we will cover a bit of that history along with debunking a few myths surrounding the critical needs for users today. From compliance requirements, larger environments, observability, and pricing, we will discuss how MWAA has evolved and continues to grow through its focus on customer value and more importantly, its dedication to the Apache Airflow community.

Airflow operators are a core feature of Apache Airflow and it’s extremely important that we maintain high quality of operators, prevent regressions and on the other hand we help developers with automated tests results to double check if introduced changes don’t cause regressions or backward incompatible changes and we provide Airflow release managers with information whether a given version of a provider should be released or not yet. Recently a new approach to assuring production quality was implemented for AWS, Google and Astronomer-provided operators - standalone Continuous Integration processes were configured for them and test results dashboards show the results of the last test runs. What has been working well for these operator providers might be a pattern to follow for others - during this presentation, AWS, Google and Astronomer engineers are going to share the information about the internals of Test Dashboards implemented for AWS, Google and Astronomer-provided operators. This approach might be a a ‘blueprint’ to follow for other providers.

AI workloads are becoming increasingly complex, with unique requirements around data management, compute scalability, and model lifecycle management. In this session, we will explore the real-world challenges users face when operating AI at scale. Through real-world examples, we will uncover common pitfalls in areas like data versioning, reproducibility, model deployment, and monitoring. Our practical guide will highlight strategies for building robust and scalable AI platforms leveraging Airflow as the orchestration layer and AWS for its extensive AI/ML capabilities. We will showcase how users have tackled these challenges, streamlined their AI workflows, and unlocked new levels of productivity and innovation.

Before Airflow 2.9, user management was part of core Airflow, therefore modifying it or customizing it to fit user needs was not an easy process. Authentication and authorization managers (auth managers), is a new concept introduced in Airflow 2.9. It was introduced as extensible user management (AIP-56), allowing Airflow users to have a flexible way to integrate with organization’s identity services. Organizations want a single place to manage permissions and FAB (Flask App Builder) made it difficult to achieve. In this talk, after explaining the concept of auth managers and why we built this, we will show you how you can leverage the new auth manager interface to build an authorization service for Airflow based on your existing identity provider. We will see that auth managers can be leveraged to change considerably how users and their permissions are managed in an Airflow environment. Finally, we will dive deep into the AWS auth manager as an alternative auth manager and see some different usages as examples.

Hands-on session building a serverless application using AWS Lambda and S3.

Practical guidance on provisioning, updating, and destroying AWS resources using Pulumi.

Overview of the Pulumi programming model for Infrastructure as Code, including how to provision resources and manage their lifecycle using familiar programming languages.

In her talk, Li-Ya Wang will share her experiences being an AWS Solution Architect. She will provide a high-level overview of Amazon S3, its role in global data management and share practical tips on using AWS Intelligent Tiering to reduce costs for teams and services.

It can seem like every security company these days is using AI, but many are actually creating more work for security operations by requiring more typing with a chatbot and more reading by analysts to understand what’s occurring. In this lightning talk, learn about Trellix’s different approach—Its virtual analyst makes decisions and has opinions. Explore how it uses AI powered by Amazon Bedrock to decide if findings are among the few that a human should look at. Also, learn how security teams can help ensure every important finding is being evaluated with an in-depth look at how AI makes decisions with the right data. This presentation is brought to you by Trellix, an AWS Partner.

Learn more about AWS re:Inforce at https://go.aws/reinforce.

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ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts.

AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

reInforce2024 #CloudSecurity #AWS #AmazonWebServices #CloudComputing

Do you have questions about privacy and compliance when it comes to using or building generative AI applications? Join this session for a deep dive on privacy and compliance challenges and considerations that you should be aware of as you embark on your generative AI journey. Gain insights into different generative AI use cases, and learn about what is happening around the world with regard to AI regulation and standards and the impact that they may have on your applications.

Learn more about AWS re:Inforce at https://go.aws/reinforce.

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts.

AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

reInforce2024 #CloudSecurity #AWS #AmazonWebServices #CloudComputing