Mackenzie is the Global Startup Evangelist at AWS. His days are spent traveling the globe to meet startups, share their stories, and connect engineering teams together. Every day there are a large number of startups launching on AWS across every imaginable industry. It’s Mackenzie’s mission to find stories of startups that are helping to improve the world and share these stories with a wide audience.
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Prior to joining AWS, Mackenzie was the Head of Technical Operations at Betterment, the world’s largest independent robo-advisor based in NYC which manages over $8B in assets. Mackenzie was a founding engineer and Head of Technical Operations at Oscar Health, an insurance startup also based in NYC, helping to grow the company to over 400+ employees.
Customer builders and audiences below senior decision makers. Example titles include developers, engineers, and systems architects.
• Hear from customers like Cisco, Adobe, SAP, and Amazon Prime Video on how they are leveraging Generative AI and NLP technologies to drive development efficiencies through the SDLC lifecycle.
• Attend hands-on workshops ranging from LLM model deployment, application development, and CloudOps powered by AWS generative AI services, that you can apply within your own organization.
• Walk through live demos and meet experts discussing software development and cloudOps automation leveraging generative AI.
Keep scrolling or click here to view the full agenda.
Generative AI is revolutionizing the way we approach software development, offering unprecedented opportunities for increased efficiency, productivity, and innovation. In this keynote, we'll explore the cutting-edge application of Generative AI technologies, such as Amazon Q-Developer, in the software development lifecycle. Through a compelling case study from Amazon Prime Video, you'll gain insights into how they implemented Generative AI tools, the challenges they faced, and the results they achieved.
Speakers:
Lilia Abaibourova, Principal PM-T, Amazon Prime Video
Sree Ratnasinghe , Dir, Customer Solutions, AWS
 In today's data-driven world, the ability to efficiently and accurately translate natural language queries into SQL is a game-changer. Join us as we delve into Cisco's innovative solution for Natural Language to SQL query generation and evaluation.
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In this insightful session, you'll discover how Cisco leverages cutting-edge Foundation Models (FMs) on Amazon Bedrock to generate SQL queries from natural language inputs. Explore the advanced techniques employed, including the use of Large Language Models (LLMs) as judges, query execution, and human review, to ensure the generated queries are precise and tailored to your domain.
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Speakers:
Prashanth Arun, Director, Data Science, Cisco
Amit Arora, Principal Solutions Architect AI/ML, AWS
Madhur Prashant, Associate Solutions Architect, AWS
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Customer Session 2
RAG Search and Retrieval Solution for Adobe Developer Assistant using Amazon Bedrock KB
Explore how Amazon Bedrock and OpenSearch can revolutionize your question-answering experience. In this session, we'll dive into implementing a Retrieval-Augmented Generation (RAG) solution that combines the power of retrieval and generative language models. You'll learn how to generate more relevant and contextually accurate responses, improving developer experience and end-user satisfaction.
Speakers:Â
Nay Doummar, Manager of Developer Platforms, Adobe
Vikram Mehto, Principal Solutions Architect, AWS
Vincent Chang, Generative AI Strategist, AWS
Lunch and Demos
Explore How Teams Are Accelerating Productivity With Generative AI Through Hands on Demos
• Build and Deploy custom connectors - Amazon Q for Business
• Accelerating Enterprise-Wide JDK Upgrades: How Amazon Leveraged Q Developer to Migrate 1,000 Applications in Just 2 Days
• How to automate AISecOps using Amazon Q For Business with Custom Plugins
• Working Backwards: Generating Product Feature request from Customer Reviews powered by Amazon Q
In this session, learn how SAP’s database development unit embarked on an innovative project exploring generative AI's applications in developer productivity and software development lifecycle. Key areas include fault localization, automated bug fixing, code optimization, refactoring, and commit reviews. Attendees will learn how the project aims to enhance CI/CD processes through test assessment for flaky tests, reducing false positives in security code scans, and optimizing tedious tasks that hinder core development capacity. In addition, dive deep into how the team is leveraging Amazon SageMaker, to drive innovation rapidly and advance generative AI's adoption, ultimately boosting developer productivity and streamlining the software development lifecycle.
Speakers:
Sebastian Baumgaertner, Vice President | Head of Cross Engineering HANA Database & Analytics, SAP
Brian Hammons, Principal Solutions Architect, AWS
In this comprehensive workshop, you'll explore how Amazon Gen AI services can be used to improve the experience and productivity of platform engineering and SRE teams. In this workshop, we'll cover aspects, from implementing intelligent monitoring, building operations assistant, resource optimization using Gen AI services.
Speaker:Â
Vikram Venkataraman, Principal Solutions Architect, Containers, AWS
Amazon Q Developer enables builders to rapidly deploy complex services that utilize the AWS Well-Architected Framework and best practices. In this workshop, attendees will use Amazon Q Developer to deploy and end-to-end inference application using Meta's Llama3.1 models on Amazon Sagemaker running on AWS Inferentia.
Speakers:
Robin Rodriguez, Solutions Architect, AWS
Harish Rao, Sr. Solutions Architect, AWS
In this hands-on workshop, attendees will learn how to leverage the power of Amazon Q Developer to quickly build a well-architected, three-tier application that utilizes cutting-edge generative AI (GenAI) services. Starting from scratch, participants will use Amazon Q Developer to write AWS CDK code and provision the necessary cloud infrastructure, including Amazon Bedrock for large language models, Amazon API Gateway for API management, and AWS Lambda for serverless compute. By the end of the workshop, attendees will have a fully-functioning, cloud-hosted GenAI application up and running in under an hour.
Speaker:
Kirankumar Chandrashekar, Sr. Solutions Architect, AWS
Workshop Option 4
Automate Ai-Assisted Code Reviews With Anthropic’s Claude 3 on Amazon Bedrock and Github Actions
In this workshop, participants will build ai-pr-reviewer, an AI-based code reviewer and summarizer for GitHub pull requests using Bedrock's Anthropic Claude models. ai-pr-reviewer is designed to be used as a GitHub Action and can be configured to run on every pull request and review comments. Users will learn how to design and implement automation through Github Actions and how to interface with Anthropic Claude 3 on Amazon Bedrock to conduct code review tasks.
Speaker:
Andy Mui, Sr. Solutions Engineer, AWS
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