Life Sciences Executive Roundtable: Data Readiness for AI Agents in Clinical Data Landscapes

Overview

Join Hexaware for an exclusive life sciences roundtable conference designed to bring together industry leaders, innovators, and pioneers in life sciences and technology. This in-person event will focus on unlocking the true potential of AI in clinical environments by building data readiness for AI agents to operate effectively and responsibly.

The event will feature a dynamic mix of panel discussions, success stories, and networking opportunities. Together, we’ll explore how organizations can accelerate their AI roadmaps and drive transformation in clinical data ecosystems.

Key Highlights

– Theme: Data Readiness for AI Agents in a Clinical Data Landscape
– Gain insights into the foundational work required to ensure AI agents are trustworthy and effective in clinical environments.
– Hear from Prabhu Chandrasekhar, Chief Architect & Senior Executive Director, Stemline Therapeutics, and other industry leaders, as they share real-world success stories of implementing AI in life sciences.
– Network with peers, industry experts, and innovators over drinks, dinner, and engaging conversations.

Who Should Attend?

This roundtable is ideal for leaders, executives, and decision-makers in the life sciences industry, including clinical researchers, data scientists, and technology strategists. If you’re looking to accelerate your organization’s AI adoption journey, this is the event for you.

Why Attend?

– Understand the AI Data Readiness Journey: Learn how to create scalable, trustworthy AI systems for clinical ecosystems.
– Exchange Ideas with Experts: Gain actionable insights from thought leaders and peers about building robust clinical AI pipelines.
– See AI in Action: Discover success stories of AI in life sciences and explore innovative use cases that drive measurable impact.
– Build Your Network: Connect with industry peers and potential partners during dedicated networking sessions.

Agenda:

Featured Speaker

The Industrialization Gap: Straight Talk on What It Actually Takes to Make Enterprise AI Stick

Most enterprises are not short of AI ambition or AI spending. They are short of the unfiltered truth about why industrialization keeps slipping and what the few who’ve crossed that threshold actually did differently.

Only ~30% of organizations have reached maturity level 3+ in AI strategy and governance. It’s not because the technology is immature, but because the hardest problems are organizational, architectural, and deeply human. In this closed-door session, senior executives from Retail, Banking, and Insurance will hear first-hand from peers who have navigated the inflection point — the data decisions that couldn’t be delegated, the governance structures that enabled rather than entombed, and the cloud foundations that turned isolated models into enterprise-grade capability. Hosted by Brillio and Amazon Web Services, this is a room built for candour.

• Only ~30% of organizations have reached maturity level 3+ in AI strategy and governance
• Only a minority of enterprises who have invested USD 25 million & above report AI-driven EBIT impact above 5%
• Only 27% have fully embedded an AI strategy across business units, and just 37% are comfortable assigning AI agents to execute full end-to-end processes in operations
• 87% say poor data quality has hampered their progress in achieving value

What you will leave with:

• The unspoken decisions that determine whether AI compounds or stagnates: Peer accounts of the data ownership, cloud architecture, and organizational calls that textbooks don’t cover and that consultants rarely surface, drawn from executives who made them under real business pressure.
• A governance blueprint that gives AI teams speed without surrendering control: How enterprises in regulated industries built risk, compliance, and model-oversight structures that accelerated deployment by replacing performative guardrails with frameworks that actually reduce exposure while preserving velocity.

The cloud and data foundation beneath every AI success story: A practitioner’s view of the architectural choices from data modernization to scalable AI infrastructure on AWS that distinguish enterprises whose AI grows more valuable over time from those whose pilots quietly expire.

Agenda

Speakers:

Dhiraj Pathak

Managing Director of the Data & AI Practice at Brillio

Piyush Patra

Sr. Director, Global Enterprise Architecture (REI), CBRE Investment Management

Accelerating agentic AI adoption across data, platforms, and operating models for real enterprise impact

As organizations accelerate their investments in AI, the challenge is no longer experimentation – it is scaling adoption across the enterprise to deliver real business impact. Across financial services, insurance, payments, healthcare, and life sciences, leaders are under pressure to move beyond isolated pilots and unlock meaningful, organization-wide transformation.

This executive forum will bring together senior leaders from regulated industries to explore how AI adoption can be accelerated at scale. In collaboration with OpenAI, the discussion will focus on agentic AI, process reimagination, and the alignment of data, platforms, and operating models – enabling organizations to overcome adoption barriers and translate AI investments into measurable outcomes.

Key Discussion Themes:

• From AI Pilots to Enterprise Adoption – Why most organizations stall at the POC stage, and what it takes to industrialize AI across the enterprise.
• Agentic AI and the Next Phase of Enterprise Transformation – How organizations are moving from isolated models to systems that reason, orchestrate, and act across workflows.
• The Adoption Challenge: What’s Slowing AI Down – Understanding the real barriers – data readiness, platform limitations, governance, operating models – and how to overcome them.
• Reimagining Processes for AI at Scale – Why AI adoption requires redesigning core business processes – not just deploying models on top of existing systems.
• Aligning Data, Platforms, and Architecture for AI – How modern data foundations, platforms, and infrastructure must evolve to enable scalable, enterprise-grade AI.
• Driving Measurable Impact from AI Investments – How organizations are linking AI adoption to productivity gains, operating model transformation, and business outcomes.

What to Expect:

• A Strategic Conversation on Scaling AI – Not Just Experimenting – A candid discussion on what it truly takes to move AI from pilots to enterprise-wide adoption.
• Cross-Industry Perspectives from Regulated Environments – Insights from leaders across financial services, insurance, payments, healthcare, and life sciences facing similar challenges.
• Real-World Lessons on Driving AI Adoption – Practical perspectives on what’s working, and what isn’t – in accelerating adoption across large organizations.
• A Clear View of the Barriers – and How to Overcome Them – Understanding the organizational, technical, and operational challenges slowing AI down today.
• High-Value Executive Dialogue and Networking – Engage with senior leaders in a peer-level setting focused on meaningful exchange.

Agenda:

Speakers:

Jas Narang

Chief Data and AI Transformation Officer, Santander

Gautam Samanta

Chief Revenue Officer, Altimetrik

Naman Joshi

Solution Engineering Leader - OpenAI

Peter Cambden

Head of New Sales – Europe & ME, Altimetrik

Shoby Abdi

Senior Growth Partner - Digital Business & AI - Altimetrik and OpenAI

Venue – Marriott Troy

Theme –

Overview:

Agenda:

Team on Ground:

Venue – Raffles London at The OWO

Scaling Agentic AI Across BFSI Core with Microsoft & NVIDIA
Transforming operations, decisions, and customer experiences for the AI-first era

Overview:

As financial institutions move beyond digital transformation, a new frontier is emerging—one where AI is not just augmenting processes but becoming the operating layer of the enterprise. The shift from predictive and generative AI to agentic AI marks a decisive evolution: from insights and assistance to autonomous execution, real-time decisioning, and intelligent orchestration across core banking systems. However, most BFSI organizations remain caught between pilot programs and enterprise-scale impact. Challenges around legacy core systems, fragmented data landscapes, regulatory complexity, and unclear business cases continue to slow down value realization.

Tech Mahindra along with Microsoft and NVIDIA is organizing an exclusive BFSI Summit to explore how banks and financial services enterprises can transition to an AI-first operating model, embedding intelligence into the core of their business. The discussion will focus on identifying high-impact use cases, prioritizing investments based on value and feasibility, and scaling AI from experimentation to production systems that deliver measurable business outcomes.

Participants will engage in a peer-led dialogue on how agentic AI can transform core banking—from onboarding and lending to compliance and customer experience—while maintaining trust, governance, and regulatory alignment.

Agenda:

Team on Ground:

Abhiram Mahajani ,Head of AI Business for UKI & Europe at Tech Mahindra
Tarun Kohli – Senior Partner and Global Head – Tech Mahindra
Pankaj Kulkarni – Head, Europe Enterprise Verticals , Tech Mahindra

Abhiram Mahajani

Head of AI Business for UKI & Europe at Tech Mahindra

Tarun Kohli

Senior Partner and Global Head - BFSI Consulting - Tech Mahindra

  |   LinkedIn 

Pankaj Kulkarni

Head, Europe Enterprise Verticals , Tech Mahindra

  |   LinkedIn 

Rob Heath

Azure Solutions Sales Director, Financial Services and Insurance,Microsoft

  |   LinkedIn 

Venue : The Whitley, a Luxury Collection Hotel, Atlanta Buckhead

Dialog to Decision with Data

Accelerating the Agentic Enterprise with Gemini Enterprise and Google Cloud

Overview:

Dialog to Decision with Data is an invitation only executive leadership forum jointly hosted by Tech Mahindra and Google Cloud, bringing together senior business and technology leaders from Retail, Consumer Packaged Goods (CPG), and Travel, Transportation & Hospitality industries.

As enterprises invest heavily in data platforms, analytics, and cloud modernization, many still struggle to translate insights into timely decisions and measurable business action. This forum focuses on the next phase of transformation—moving beyond dashboards and reports toward AI-driven decision intelligence and autonomous enterprise operations.

The event explores how Gemini Enterprise and Google Cloud, combined with Tech Mahindra’s deep industry expertise, are enabling organizations to evolve:

• from insights to real-time decisions
• from copilots to AI agents
• from manual processes to autonomous workflows
• from visibility to execution and impact

What to Expect:

Through executive dialogues, industry perspectives, and real-world use cases, participants will examine how agentic AI is reshaping enterprise operations, improving decision velocity, and driving productivity at scale. The discussions will highlight practical pathways to embedding decision intelligence across front, mid, and back office functions—while maintaining governance, trust, and responsible AI principles.

Agenda:

Team on Ground:

Srini Burra

Vice President & Head – North America CPG Business

Dr. Sumit Kumar

SVP & Global Business Head, Google Cloud, Tech Mahindra

Karra Shiva Prasad

VP and Business Head for Google Cloud - North America

Insight to Impact: Clinically Engineered

Overview:

Our 4E approach to transforming healthcare and life sciences

Healthcare and life sciences (HLS) organizations are undergoing rapid transformation to boost productivity, engage patients across their care continuum, deliver exceptional physician experiences, and harness data for breakthrough insights that accelerate therapy development. Advances in digital technologies, especially AI—are creating unprecedented opportunities to reimagine care delivery, personalize treatments, and bend the cost curve without compromising quality.

When it comes to patient safety, there can be no compromise. Transformation in health sciences must be clinically engineered—built with precision on a foundation of deep domain expertise, robust engineering, and a relentless focus on operational, financial, and clinical outcomes. We enable this vision by combining next-gen digital capabilities with healthcare intelligence, helping organizations deliver precision care, accelerate research, and create sustainable value across the healthcare ecosystem.

• Our 4E Framework
We drive clinically engineered digital transformation for healthcare enterprises through our 4E framework, embedding its principles into every solution to help organizations achieve the industry’s quadruple aim.

• Efficacy (All about outcomes)
Delivering measurable clinical outcomes

• Efficiency (Do more with less)
Driving operational and cost optimization across the healthcare value chain

• Experience (Consumerize healthcare)
Enhancing integrated and augmented engagement for patients, caregivers, and healthcare professionals

Agenda:

Moderator :
Deepak Gupta
Vice President – Solution Offerings, HLS, Tech Mahindra

Team on Ground:

Vivek Radhakrishnan

SVP – Healthcare and Life Sciences (HLS)

Dr. Sumit Kumar

SVP & Global Business Head, Google Cloud, Tech Mahindra

Vinod Mani

Business Head-Google cloud (BFSI, HLS & Telco), Tech Mahindra

Arnab Biswas

Head Google Cloud Consulting - Healthcare & Lifesciences, North America

Deepak Gupta

Vice President - Solution Offerings, HLS, Tech Mahindra

Overview:

AI is rapidly becoming a core layer of the software delivery lifecycle. The leadership challenge is no longer whether to use AI in the SDLC—but how to scale it in a way that preserves speed, restores trust, and maintains control. We are looking at this from 3 key lenses

1)  Enterprise Perspective: How do we institutionalize AI in software delivery without slowing it down—or losing control?
2)  Engineering Perspective: What does an AI-native engineering workflow look like that improves both speed and quality?
3)  Market Perspective: In a world where models change fast, what will enterprises actually pay for—and stick with?

Agenda:

Speakers:

• Paul Miller, Vice President, Principal Analyst, Forrester
• Craig Brown, Director, Head of Banking Technology, EBRD
• Ian Andrews, CIO at Liverpool Victoria

Moderator:

• Sanjay Salunkhe, President – Digital & Software services, Hexaware

Craig Brown

Director, Head of Banking Technology, EBRD

Ian Andrews

CIO, Liverpool Victoria

Sanjay Salunkhe

President, Digital and Software, Hexaware

Paul Miller

Vice President, Principal Analyst, Forrester

Grand Hyatt San Francisco, 345 Stockton St, San Francisco, CA 94108, United States

Architecting the Autonomous Enterprise
From Data-Driven Decisions to AI-Powered Autonomous Business Execution

Overview:

As enterprises accelerate AI adoption, most have become data-driven—but far fewer have achieved AI-powered autonomous execution. The next phase of transformation is not about producing better insights; it is about enabling AI systems that can reason, coordinate, and act across business workflows with speed, trust, and accountability.

This invite-only CXO roundtable brings together senior business and technology leaders for a candid, closed-door exchange on what it truly takes to become an Autonomous Enterprise, offering real conversations with peers who are grappling with the same questions you are.

The discussion will focus on how organizations are moving beyond pilots to embed AI into core operations by evolving their enterprise architecture and operating models. Participants will examine the design and governance patterns required to scale autonomy safely, including multi-agent orchestration, event-driven architectures, real-time decisioning, Retrieval-Augmented Generation (RAG), semantic-first data design, and AI governance frameworks.

Through peer-level dialogue, the session will surface practical lessons on transitioning from insight-driven enterprises to AI-executing organizations, delivering measurable outcomes such as reduced decision latency, optimized cost-to-serve, improved working capital efficiency, and accelerated revenue realization.

Agenda:

Arjun Saxena

Global Head, Consulting, Experience Design, Data & AI, Tech Mahindra

Saurabh Jha

SVP and Global Head – Data and Analytics, Tech Mahindra

Sanjeev Bamezai

SVP, Specialist Sales Head - D&A, Americas, Tech Mahindra

Sushil Tiwari

Head of Innovation & Analytics - Data and Analytics (D&A), Tech Mahindra

Sanjeev Mittal

Head of Global Strategic Partnerships, Google

Anand Venugopal

Product & GTM Executive - Data & AI Cloud

Victor D'Souza

Vice President AI & Data, Applied Materials

Prukalpa Sankar

Founder & Co-CEO, Atlan

Vishnu Vasanth

CEO, e6data

Venue : Madison Room, Scarpetta, New York

Healthcare AI Roundtable 2026: Scaling AI for Enterprise Impact

Overview:

Join Hexaware and ISG for an exclusive healthcare AI roundtable exploring how payer and provider organizations can scale AI for business beyond pilots to deliver measurable enterprise value.

Healthcare organizations are actively investing in AI, yet many initiatives remain confined to pilots. At the same time, hospitals, health systems, and payer organizations continue to face margin pressures, rising medical costs, and increasing expectations around patient and member experiences.

This healthcare AI event will bring together healthcare leaders to discuss practical approaches to scaling AI responsibly, improving financial performance, and enabling smarter decision-making across payer and provider organizations. Through expert-led discussions and peer exchange, participants will gain insights into how healthcare AI solutions can drive sustainable cost transformation while improving patient and member outcomes.

Key Highlights

• Learn how healthcare organizations are scaling AI for business from pilots to enterprise-wide initiatives
• Explore strategies for building data-ready pipelines to support scalable AI across payer and provider ecosystems
• Understand how to establish AI governance frameworks that ensure trust, speed, and regulatory compliance
• Discover approaches to prevent AI sprawl while enabling coordinated enterprise AI adoption in healthcare
• Gain insights into how AI can improve revenue cycle, claims processes, and patient and member engagement
• Connect with peers to exchange perspectives and practical experiences on scaling AI in healthcare

Kerri Balbone

Chief Revenue Officer, Duly Health and Care

Shantanu Baruah

President & Global Head – Healthcare, Life Sciences & Insurance and Head – North America (Hunting), Hexaware

Raj Kadam

CEO, CareInsight

Jamie Burke

Partner, Healthcare Lead, ISG

Chris Lugo

Vice President & Chief Information Security Officer, Blue Cross Blue Shield Association