ABOUT CONVERGENCE
A premier platform bridging academia, industry, government & innovation
Since its inception, Jio Institute's CONVERGENCE has established itself as a premier international convening platform bridging academia, industry, government, and innovation. Now in its 4th edition, the summit brings together global thought leaders, technologists, AI researchers, data scientists, and senior management professionals.
Convergence 2026 is specifically designed to unite the two critical pillars of the modern enterprise: the technical rigor of AI and Data Science and the strategic, operational, and analytical expertise of Business professionals from Marketing and Finance. As algorithms evolve from simple tools to autonomous agents, the divide between 'tech' and 'business' is dissolving. This summit provides a shared language for the next generation of leaders to navigate this transformation.
OUR JOURNEY
Three editions of Convergence, so far
Each edition builds on the last — from global knowledge exchange to aligning talent, technology and transformation.
2023
EDITION 1
Fostering Global Innovation and Collaboration
Read More →
2024
EDITION 2
Shaping the Future of Work through Industry-Academia Collaboration
Read More →
2025
EDITION 3
Intelligent Futures: Aligning Talent, Technology & Transformation
Read More →
CONVERGENCE 2026
Technical proficiency is the engine. Managerial strategy is the steering wheel.
We are living through a technological transition where Artificial Intelligence is moving from a tool of automation to the foundational infrastructure of business strategy. While technical proficiency is the engine, managerial strategy is the steering wheel.
For professionals from AI and Data Science domain, the focus is on building the autonomous agents of tomorrow. For business professionals in the domain of Marketing and Finance, the focus is on deploying these agents to optimize capital allocation, predict consumer behavior, and revolutionize market engagement. Organizations are moving beyond AI as a productivity tool toward AI as an active collaborator, and the leaders of tomorrow must understand how to orchestrate these systems to drive measurable business outcomes.
THEME · CONVERGENCE 2026
"Transforming Business Through Autonomous Intelligence"
When AI can act, how will businesses transform?
Beyond generating content and insights, AI systems are increasingly capable of reasoning, planning, and autonomously executing complex tasks. This shift from assistive AI to autonomous agents is fundamentally redefining how organizations operate, make decisions, and create value.
Convergence 2026 explores how businesses can harness this new generation of AI to build intelligent, adaptive, and resilient enterprises. As autonomous agents become integral to strategy, operations, and customer engagement, organizations must rethink leadership, governance, technology architecture, and workforce capabilities to thrive in an agent-driven future.
The theme is deliberately business-focused and industry-agnostic. Whether in financial services, healthcare, manufacturing, education, government, or media, organizations across every sector are navigating the transition from AI as a productivity tool to AI as an autonomous enterprise capability.
THEMATIC PILLARS
Every session, keynote, and discussion is anchored to one of four core pillars
PILLAR 1
Business-Aligned Intelligence
› Transitioning from pilot projects to enterprise-wide deployment
› Human-AI teaming models: integrating agents into marketing workflows and financial analysis
› Augmentation vs. automation: identifying where human judgment remains the ultimate competitive advantage
PILLAR 2
The Leadership & Strategy Imperative
› Leading through algorithmic change: the new requirements for CXOs
› AI Strategy & Governance: balancing innovation with risk management in Finance and Marketing
› Building trust in AI systems for stakeholders and customers
PILLAR 3
The Hybrid Talent Architecture
› Defining the "AI-Bilingual" professional: why management students need AI literacy and tech students need business acumen
› Workforce reskilling at scale for marketing, finance, and technical departments
› Human-centered job redesign in an autonomous world
PILLAR 4
Innovation, Deep Tech & ROI
› AI & data in Fintech: predictive analytics, algorithmic trading, and risk management
› The Marketing Revolution: personalization at scale through autonomous agentic ecosystems
› Startup–enterprise collaboration: navigating the AI investment landscape
KEY OBJECTIVES
What Convergence 2026 sets out to do
01
Bridge the Gap
Facilitate deep dialogue between technical talent and business leaders to solve real-world industry challenges.
02
Commercialize Innovation
Showcase how autonomous agents specifically impact marketing ROI and financial decision-making frameworks.
03
Foster Cross-Functional Collaboration
Create a collaborative platform for PGP in AI/DS and PGP in Management students to network with industry leaders.
04
Institutional Excellence
Strengthen Jio Institute's positioning as a premier global platform for integrated tech-management thought leadership.
FEATURED SPEAKERS · CONVERGENCE 2026
Meet the minds shaping the future
Mr Suresh V Shankar
Founder & Chief Executive Officer, Crayon Data
Mr Anand S
LLM Psychologist, Straive, Singapore
Mr Oliver Tan
Managing Director, APAC, Rezolve AI, Singapore
Mr Alvin Eng
Managing Director and Head of Enterprise AI at UOB
Mr James Ong
Founder & Managing Director, Artificial Intelligence International Institute (AIII)
Mr C K Vishwakarma
Founder & CEO, AllThingsConnected
Mr Madhur Mayank Sharma
Vice President, AI Product Engineering & Global Head of AI Services & Accelerator, SAP
Mr Bala Murali Raghavan
Founder & Learning Architect, Agilitas Learning
Mr Ahmed Muzammil
VP, Data Science, Bank of Singapore
KEY PARTICIPANTS
Who's in the room
INDUSTRY & ENTERPRISE
C-Suite Leaders
CEOs, CXOs, CTOs, CMOs, and CFOs from global organizations.
TECHNICAL EXPERTS
Builders of the Agent Layer
AI researchers, Data Scientists, and ML Engineers.
ACADEMIC LEADERS
Faculty & Scholars
Jio Institute's faculty, current PGP in AI & Data Science students, PGP in Management (Marketing & Finance) students, and global university partners.
