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.
Attend this event
Visionaries
Bradley Rosenberg
Director of Data Management
Inland Real Estate Investment Corporation
Jay Divine
Senior Partner Development Specialist - AI/ML
AWS
Philip Chen
SVP
Associated Bank
Phil Mazenett
Head of Enterprise Solutions
Weights & Biases
Custom Speaker
Phil brings a decade of experience in leveraging machine learning and data solutions from industry leaders such as W&B, Domino, OctoAI, Gantry, and Alation to help clients of all sizes tackle their model building use cases. Before transitioning to the tech sector, he held several roles at major Financial Services firms (JPMorgan, Citi, Nomura, Santander) and prominent Advertising agencies (DDB, Ogilvy)
Dmitry Moiseev
Sr Director of Engineering
Cambium Networks
Nirmal Ranganathan
VP and Distinguished Architect
RackSpace
Custom Speaker
Nirmal Ranganathan is the VP and Distinguished Architect at Rackspace and is responsible for AI Engineering, technology strategy, and roadmap for Rackspace's FAIR solutions portfolio. Nirmal leads FAIR (Foundry for Generative AI by Rackspace), a practice dedicated to accelerating the secure, responsible, and sustainable adoption of generative AI solutions across industries. Nirmal has worked with data over the past 2 decades, solving distributed systems challenges dealing with large volumes of data, being a customer advocate and helping customers solve their data challenges. Nirmal consults with customers around large-scale databases, data processing, data analytics and data warehousing in the cloud, providing solutions for innovative use cases across industries leveraging AI and Machine Learning.
Yolanda Mekala
Partner Development Lead - AWS for Data
AWS
Kelli Such
Americas Data Strategy Leader
AWS
Custom Speaker
Kelli leads the Americas Data Strategy team working with AWS customers to transform their businesses using data, analytics and machine learning. Kelli is a seasoned leader with over 30 years of data and analytics experience across a wide variety of functions including supply chain, manufacturing, sales, and contact center management where she used insights to drive improved customer experiences, revenue, and cost productivity outcomes. Kelli's experience also includes creating analytics programs from establishing strategy, building stakeholder alignment, creating and enabling teams down to project execution and support. Given she has spent considerable time in industry CPG roles along with software start-up positions, Kelli intimately understands the challenges facing customers from a people, process, and technology perspective and actively partners with them to unlock business value and sustain momentum.
Kathy Pirogova
Test
cvision
Agenda
All times Central Time
8:30 AM-9:10 AM
Welcome & Registration
9:10 AM-9:20 AM
Opening Remarks
9:20 AM-9:40 AM
Generative AI Adoption Trends and Key Use Cases in Financial Services
Jay Divine
Senior Partner Development Specialist - AI/ML
AWS
9:40 AM-10:00 AM
Data as your Differentiator
Generative AI is generic and commodity unless you can integrate data about your business and customers, and that requires a modern data strategy. While technology is a critical component, learn what else comprises a modern data strategy and hear best practices for getting started on your journey today.
Yolanda Mekala
Partner Development Lead - AWS for Data
AWS
10:15 AM-10:30 AM
Networking Break
10:30 AM-11:00 AM
Innovation Showcase
Phil Mazenett
Head of Enterprise Solutions
Weights & Biases
Phil brings a decade of experience in leveraging machine learning and data solutions from industry leaders such as W&B, Domino, OctoAI, Gantry, and Alation to help clients of all sizes tackle their model building use cases. Before transitioning to the tech sector, he held several roles at major Financial Services firms (JPMorgan, Citi, Nomura, Santander) and prominent Advertising agencies (DDB, Ogilvy)
Nirmal Ranganathan
VP and Distinguished Architect
RackSpace
Nirmal Ranganathan is the VP and Distinguished Architect at Rackspace and is responsible for AI Engineering, technology strategy, and roadmap for Rackspace's FAIR solutions portfolio. Nirmal leads FAIR (Foundry for Generative AI by Rackspace), a practice dedicated to accelerating the secure, responsible, and sustainable adoption of generative AI solutions across industries. Nirmal has worked with data over the past 2 decades, solving distributed systems challenges dealing with large volumes of data, being a customer advocate and helping customers solve their data challenges. Nirmal consults with customers around large-scale databases, data processing, data analytics and data warehousing in the cloud, providing solutions for innovative use cases across industries leveraging AI and Machine Learning.
11:00 AM-11:45 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
Yolanda Mekala
Partner Development Lead - AWS for Data
AWS
Panelists
Jay Divine
Senior Partner Development Specialist - AI/ML
AWS
Phil Mazenett
Head of Enterprise Solutions
Weights & Biases
Phil brings a decade of experience in leveraging machine learning and data solutions from industry leaders such as W&B, Domino, OctoAI, Gantry, and Alation to help clients of all sizes tackle their model building use cases. Before transitioning to the tech sector, he held several roles at major Financial Services firms (JPMorgan, Citi, Nomura, Santander) and prominent Advertising agencies (DDB, Ogilvy)
Nirmal Ranganathan
VP and Distinguished Architect
RackSpace
Nirmal Ranganathan is the VP and Distinguished Architect at Rackspace and is responsible for AI Engineering, technology strategy, and roadmap for Rackspace's FAIR solutions portfolio. Nirmal leads FAIR (Foundry for Generative AI by Rackspace), a practice dedicated to accelerating the secure, responsible, and sustainable adoption of generative AI solutions across industries. Nirmal has worked with data over the past 2 decades, solving distributed systems challenges dealing with large volumes of data, being a customer advocate and helping customers solve their data challenges. Nirmal consults with customers around large-scale databases, data processing, data analytics and data warehousing in the cloud, providing solutions for innovative use cases across industries leveraging AI and Machine Learning.
11:45 AM-12:00 PM
Networking Break
12:00 PM-12:10 PM
Starting Your Generative AI Journey
Phil Mazenett
Head of Enterprise Solutions
Weights & Biases
Phil brings a decade of experience in leveraging machine learning and data solutions from industry leaders such as W&B, Domino, OctoAI, Gantry, and Alation to help clients of all sizes tackle their model building use cases. Before transitioning to the tech sector, he held several roles at major Financial Services firms (JPMorgan, Citi, Nomura, Santander) and prominent Advertising agencies (DDB, Ogilvy)
Nirmal Ranganathan
VP and Distinguished Architect
RackSpace
Nirmal Ranganathan is the VP and Distinguished Architect at Rackspace and is responsible for AI Engineering, technology strategy, and roadmap for Rackspace's FAIR solutions portfolio. Nirmal leads FAIR (Foundry for Generative AI by Rackspace), a practice dedicated to accelerating the secure, responsible, and sustainable adoption of generative AI solutions across industries. Nirmal has worked with data over the past 2 decades, solving distributed systems challenges dealing with large volumes of data, being a customer advocate and helping customers solve their data challenges. Nirmal consults with customers around large-scale databases, data processing, data analytics and data warehousing in the cloud, providing solutions for innovative use cases across industries leveraging AI and Machine Learning.
12:10 PM-1:10 PM
Executive Roundtable Lunch
1:10 PM-1:30 PM
Closing Remarks & Networking
