AI/ML Discussion Forum

VIRTUALLY
June 5, 2025
8:00am - 11:00am PST

Stay tuned for a recap of our 2025 AI/ML Special Interest Group Presentation

An interactive event where industry leaders and AI/ML experts come together to explore the latest advancements in artificial intelligence and machine learning. Dive into insightful discussions, real-world case studies, and innovative strategies shaping the future of AI-driven business solutions.

Whether you're looking to enhance your data strategy or stay ahead of emerging trends, this forum is your gateway to cutting-edge knowledge and collaboration. Join us and be part of the conversation!

Agenda

8:00 am

8:05 am

8:45 am

9:30 am

10:15 am

11:00 am

Introduction

Uses Cases for Leveraging Agents in Microsoft GenAI
Steve Davis | Enterprise Architect | Benjamin Moore

The Convergence of AI and Low-Code
Yossi Koren | Manager Solution Architecture and AI | Outsystems

The ROI of AI Ethics: Profiting with Principles for the Future
Sundar Krishnan | Senior AI/ML/Data Science Manager | CVS Health

Leveraging AI for HCM Forecasting
Balaji Raj | Data Architect, Finance and AI | Varian

Wrap Up

Topic Leaders

Steve Davis

Enterprise Architect, Benjamin Moore

Discussion Topic:
Uses Cases for Leveraging Agents in Microsoft GenAI

Steve has a strong background in information technology and enterprise architecture, playing a pivotal role in leading technical innovation, including AI and Microsoft Azure. Steve oversees and supports various IT systems, ensuring that the company's technology solutions and infrastructure align with its business goals and objectives.

Yossi Koren

Manager Solution Architecture and AI, Outsystems

Discussion Topic:
The Convergence of AI and Low-Code

Yossi is a strategic and results-driven Enterprise Solution Architecture leader with a proven track record of designing and leading high-performing architecture teams. Adept at developing scalable, innovative, cost-effective solutions aligning with business objectives and technology roadmaps. Skilled in cross-functional collaboration, stakeholder engagement, and driving digital transformation initiatives. Passionate about cloud computing, AI, enterprise architecture, and optimizing IT ecosystems for long-term success.

Sundar Krishnan

Senior AI/ML/Data Science Manager, CVS Health

Discussion Topic:
The ROI of AI Ethics: Profiting with Principles for the Future

At CVS Health, Sundar leads a team of data scientists and analysts to deliver 360 degree customer analytics models that drive business value and customer satisfaction.

Sundar has over 11 years of experience in data science, artificial intelligence, and machine learning, with a master's degree in management information systems.

His passion is to apply AI and data science to solve real-world problems and create a positive impact. Sundar has authored books including an end-to-end predictive model building cycle, published by Apress in 2020, and he has received several awards and recognitions for his innovative and impactful solutions. Sundar also enjoys learning and experimenting with new technologies and techniques in the field of AI and data science, and sharing his knowledge and insights with others.

Balaji Raj

Data Architect, Finance and AI, Varian

Discussion Topic:
Leveraging AI for HCM Forecasting

Balaji’s twenty year career spans Finance, Revenue Forecasting, FP&A Planning, Data Analytics, and SAP Finance Systems across Healthcare, Manufacturing, High Tech, and Retail, with extensive global experience across Germany, France, Japan, Belgium, India, and the USA.

He has delivered AI & ML-powered revenue forecasting solutions, optimizing manual processes with advanced analytics.

According to Gartner:

Gartner predicts that AI will significantly reshape society and industries, with generative AI (GenAI) playing a major role. By 2026, over 100 million humans will use robocolleagues to contribute to their work, and nearly 15% of new applications will be automatically generated by AI.

AI will also impact workforce dynamics, with organizations adopting AI-augmented automation and potentially reducing middle management roles.

Furthermore, AI will influence how organizations manage culture and engagement, with 40% of large enterprises deploying AI to monitor and influence employee moods and behaviors by 2028.