Al as an enabler for unlocking Industry Data: Monetizing Enterprise Value

This talk will explore the transformative potential of Al in harnessing untapped enterprise data across sectors such as insurance and capital markets. It will delve into how Al acts as an enabler for businesses to unlock hidden insights and create monetizable opportunities from their existing data assets. Attendees will gain insight into strategies that leverage Al for internal efficiency, embedding Al into products for customer value, and collaborating with data providers for revenue generation
Who is this presentation for?
Business leaders and enterprise strategists seeking to maximize data value. Tech professionals interested in the integration of Al within enterprise systems. Data and product managers looking for innovative Al monetization strategies. Executives planning to navigate and adapt to evolving data-centric market dynamics.
Prerequisite knowledge:
Basic understanding of Al and data analytics concepts. The content will provide value for experienced professionals
What you'll learn?
Insights into leveraging enterprise data for internal and customer-facing applications. Methods for integrating Al to enhance existing products and create new value streams. Best practices for ensuring data readiness, maintaining traceability, and safeguarding security. Practical approaches for collaborating with data providers to generate additional revenue.

Currently working at AI Technologist at AWS helping industry enterprise customers Strategically focused senior technology leader with 20+ years of engineering leadership experience. Key driver of AI & cloud migration strategy for various organizations. Experience in leading global teams, partner enablement, building automations and go-to-market programs. Passionate about mentoring, building business and technology strategy with a focus on long-term vision and delivering results.