The AI Outcome Imperative: How Enterprise Leaders Are Scaling Real Business Value

11.00 am to 12.00 pm CT,
10 June 2026

Knowledge Graph + LLM Fusion

Structured reasoning layered onto generative models

Platformization of AI

Organizations are moving toward central AI platforms (ModelOps + DataOps + LLMOps) rather than fragmented tools.

AI Embedded in Core Processes

AI is becoming the process itself (e.g., underwriting, merchandising, network routing).

Governance as a Differentiator

Leaders treat AI governance as a capability, not a constraint, especially in BFSI and telecom.

Shift to Outcome-Based Metrics

From accuracy → to business KPIs (revenue lift, cost reduction, risk mitigation)

Rise of AI-Native Workforce Models

Hybrid teams of humans + AI agents are becoming operational units.

8 in 10 companies are integrating Generative AI into core workflows, making AI foundational rather than auxiliary

AI could generate up to $4.4 trillion annually in business value, underscoring its macroeconomic significance

Intelligent Decision Systems

Data-to-Value

AI Maturity Models

AI-Native Architecture

Enterprise AI Platforms

AI Mesh Architectures

Event Partners & Sponsors

Knowledge & Innovation Partner

Technology Partner

Agenda

10 June 2026 (11.00 am to 12.00 pm CT)
11:00 am
Aganda 1

Introduction of Speakers

Nitin Naveen, Vice president-Innovation Strategy, AICorespot

 

11:05 am
Aganda 6

Operationalizing AI for Scalable Business Outcomes

Panel Discussion
– Priya Reddy, Founder & CEO, AI & Data Strategy & Innovation, Priya Reddy Consulting (Moderator)
– Rik Khurana, Head of Generative AI, OneMain Financial
– Arpita Bhowmick, Head of Commercial & Patient Services IT, US, Alexion Pharmaceuticals, Inc.
– Ipshita Chakraborty, Director, Data Science & Applied AI, HelloFresh
– Abhilash Vantaram, VP of Emerging Tech & Global Head of Innovation, InfoVision Inc.

 

11:55 am
Aganda 1

Thank you note and conclusion of event

-by Nitin Naveen, Vice president-Innovation Strategy, AICorespot