Jun 5 GenAI, Agentic AI, Security, Data Analytics: Boston
AWS, Google, Microsoft and other subject matter experts discuss Generative AI, Agentic AI, AI-Powered Analysis of Documents/Videos/Images, RAG Data Architecture, MCP Model Context Protocol for Compatibility across Different Platforms/LLM’s and more, plus CyberSecurity, Data Privacy and Analytics, specifically for organizations in greater Boston.
Angelbeat provides a unique opportunity to directly interact with, ask questions to, plus learn from, the world’s leading Cloud/AI firms, in one focused program.
The schedule, topics, speakers’ biographies will be updated shortly, plus the registration link will go live.
Agenda, Speakers, Topics
9:30 am Event Overview, Introductory Comments, NIST AI Risk Management Framework (RMF)
Ron’s summarizes the day’s agenda, describes how Angelbeat can organize private/custom AI workshops for your organization, and why you should document an Artificial Intelligence Risk Management Framework, based on NIST Standards. Click on image above to watch Gerber’s Videoblog/Podcast the_angel_beat about Top AI Issues in 2025.
9:40 AI-Powered Analysis of Documents, Videos, Images with Azure
Tirthankar Barari, Principal AI Architect, Microsoft
Understanding documents and extracting meaningful data with higher accuracy with minimized time to train or prompt models, pretrained models is an Enterprise challenge across the globe. In this presentation we will discuss about the challenges, explore and dissect the documents, images, videos using the latest Generative AI models and tools to derive insights and actionable post processing tasks. We will also demonstrate an Enterprise quality end to end solution. After attending this presentation, you will be ready to build document AI solutions in Azure for a variety of business use cases from across industry verticals.
10:00 The Future of Software Development: Agents Are Coming!
Vadim Kacherov, Principal Technical Engineer, Google
The landscape of software development is undergoing a profound transformation driven by advancements in artificial intelligence. This presentation delves into the burgeoning role of AI in streamlining and accelerating the software development lifecycle, with a specific focus on the capabilities of Gemini Code Assist. We will explore how AI-driven tools are revolutionizing key development areas, including intelligent code generation, automated testing, and efficient code reviews, thereby significantly enhancing developer productivity. Emphasizing the critical importance of speed and time-to-market in today's competitive environment, this talk will demonstrate how AI empowers teams to deliver software at an unprecedented pace.
We will examine the enterprise-grade features of Gemini, including robust code customization options and seamless integration capabilities, highlighting their potential to tailor AI assistance to specific organizational needs and workflows. This presentation will provide actionable insights into leveraging AI to optimize software development practices and secure a competitive edge in the rapidly evolving tech industry.
10:20 AWS Keynotes on Securing Generative AI, Agentic AI, Amazon Q
Peter Buonora, Principal Solutions Architect, AWS
Build, run, and scale your generative AI workloads with confidence on a cloud foundation uniquely designed for security. Leverage integrated AWS security, compliance, and governance tools and capabilities across your AI stack to help secure your generative AI applications without having to reinvent your security strategy.
Vaibhav Shah, Senior Solutions Architect, AWS
AI agents are rapidly becoming the next frontier in enterprise transformation, with 82% of organizations planning adoption within the next 3 years. The recent release of the DeepSeek-R1 models brings state-of-the-art reasoning capabilities to the open source community. Organizations can build agentic applications using these reasoning models to execute complex tasks with advanced decision-making capabilities, enhancing efficiency and adaptability. Vaibhav will dive into how organizations can use Amazon SageMaker AI, a fully managed service that allows you to build, train, and deploy ML models at scale, and can build AI agents using CrewAI, a popular agentic framework and open source models like DeepSeek-R1.
Narcisse Zekpa, Senior Solutions Architect, AWS
Amazon Q: The most capable generative AI–powered assistant for accelerating software development and leveraging companies' internal data.