Achieving success with generative AI requires a modern data strategy focused on aligning mindset, people/process, and technology. Customers will learn key elements of an effective data strategy, including a customer-centric mindset, empowered teams, and a scalable data architecture enabled by cloud services like AWS Bedrock and other AWS generative AI offerings to fuel secure and governed generative AI applications. By building these foundational capabilities, organizations can harness the power of generative AI to create business value.
Journey to Generative AI
Executive Event
Visionaries
October 16, 2024
Attend this event
Agenda
All times Eastern Time
8:30 AM - 9:20 AM
Welcome & Registration
9:20 AM - 9:30 AM
Opening Remarks
9:30 AM - 9:50 AM
Generative AI Adoption Trends and Key Use Cases
Pradyut Bafna
Americas Leader - GenAI and Machine Learning ISV Partners
AWS
9:55 AM - 10:35 AM
Innovation Showcase
Yuriy Shvalik
Luxoft Automotive Solutions Americas
DXC Technology
Prathamesh Nimkar
Senior Data Cloud Architect
Snowflake
10:35 AM - 10:55 AM
Networking Break
10:55 AM - 11:50 AM
Navigating the Generative AI Landscape
Let's explore the transformative potential of Generative AI, guided by insights from cloud experts and industry leaders. We'll delve into real-world examples of AI innovations, strategies for C-level executives to integrate AI successfully, and best practices for enhancing customer experiences and driving business growth. Our discussion will also cover the most anticipated advancements in Generative AI over the next 12-24 months and their potential impact on businesses. Additionally, we'll address the ethical and regulatory considerations surrounding AI use, and examine the build vs. buy decisions executives face when choosing AI solutions.
Chair
Pradyut Bafna
Americas Leader - GenAI and Machine Learning ISV Partners
AWS
Panelists
Jordan Tauriainen
AWS Automotive Partner Strategy Lead
AWS
Greg Sloyer
Industry Principal, Manufacturing
Snowflake
Pete McEvoy
Head of Data and AI for the Americas
DXC Technology