
Most enterprises track AI adoption, missing the actual costs and value being created. The Enterprise Productivity Control Room closes this gap by creating a single source of truth for productivity and operational health, layering in an AI Adoption Index, ProHance Agents that augment decision-making, and retention risk intelligence.
You leave with a cost stack, value scorecard, and governance playbook. And the takeaway that matters most: in the AI era, advantage won't belong to the enterprises with the most AI, but to the ones that can measure work, govern it, and act on it, consistently.
CXOs
Most organizations track HR metrics that measure activity, not readiness. This session unpacks which KPIs genuinely signal AI transformation success - from capability and capacity balance to retention risk and stakeholder trust - and why leading indicators matter more than lagging ones.
HR professionals with expertise in talent intelligence, people analytics, and workforce planning.
Join Snowflake's team for a masterclass on the six interconnected opportunities defining healthcare leadership in 2026: multimodal data foundations, AI infusion, agentic speed, application modernization, ecosystem reach, and platform economics. Each opportunity builds on the one before.
Today, most organizations harness mainly structured data from EHR and claims, less than 20% of the factors that actually drive health outcomes. Closing that gap means rethinking health data products across all modalities, infusing AI directly into decisions and workflows, and moving the entire Data & AI organization at decision speed. The result is not simply an IT upgrade; it carries a measurable impact on outcomes, revenue, and the total cost of decision-making.
The session covers how leading healthcare companies are turning fragmented data and siloed AI into a connected advantage, and a practical view of the 3 key opportunities that will separate the leaders from the followers.
Senior Healthcare Leaderships - Directors and Above
As AI reshapes global competitiveness, European enterprises are navigating a new reality defined by evolving regulations, talent shortages, and changing geopolitical dynamics. Designed as a facilitated executive roundtable, this session brings together technology leaders to share experiences, debate emerging challenges, and exchange practical strategies for leveraging India GCCs to accelerate AI innovation. Anchored by Zinnov's latest research and market insights, the discussion will examine how Europe and India can collaborate to build future-ready AI capabilities, navigate regulatory complexity, and create cross-border operating models that drive sustainable competitive advantage.
European HQ Technology Leaders, GCC & India Leadership, AI / Data / Engineering Leaders
Public spaces are not shaped by governments alone-they thrive through collaboration between civic institutions, businesses, and communities. This roundtable explores how the corporate sector can move beyond beautification initiatives to create inclusive, sustainable, and meaningful public spaces that strengthen urban identity and deliver lasting social impact. The discussion will examine the role of CSR, employee and community well-being, accessibility, and sustainability, while introducing a practical roadmap for organisations to identify opportunities, build the right partnerships, and deliver public-space projects that create enduring value for both cities and the people who inhabit them.
CSR Heads and Marketing Heads
Finding the right insight when you need it matters. The Zinnov GCC Platform now makes it simpler to explore what's working across the ecosystem, understand how peers are approaching challenges, and access relevant guidance faster-powered by an AI-enabled search engine that gets you to the answer without digging through reports or full POVs. Attendees will get early access to the platform ahead of the session to explore and bring questions. Join us for a walkthrough of what's new, followed by a panel of GCC leaders on how this changes the way they navigate decisions, and an open Q&A.
Centre heads, strategy leaders, and HR heads
AI is accelerating software development, but greater activity does not automatically translate into greater business value. This masterclass will explore how enterprises can move beyond traditional engineering metrics to measure AI impact more meaningfully. The discussion will examine how additional capacity can be converted into value, how organizations should decide what to build or stop, why validation may become the next bottleneck, and how the software development lifecycle must evolve for an AI-native environment.
Participants will leave with practical perspectives on measuring productivity, managing portfolios, strengthening validation, and aligning engineering outcomes with business value.
Over the past two decades, new technologies have emerged at breakneck speed. And now, AI has redefined not only the technologies we build, but how we build them.
What increasingly differentiates organizations in this world is the strength of their Tech-First culture: one that is engineering-driven, globally distributed, relentlessly iterative, and where innovation favours flat, fast-moving teams over traditional hierarchy structures.
This masterclass is designed to demystify what goes into building a tech-first culture – What problems to solve? Who to hire? How to reward? What to measure?
Join us to understand what separates the leaders from the laggards, and walk away with specific actions to build a tech-first culture in your organization.
By Invitation Only | Closed-Door CXO Breakfast Roundtable
On 20 August 2026, Zinnov, in partnership with the Government of Karnataka, will convene an exclusive, closed-door breakfast roundtable at Zinnov Confluence, Sheraton Grand Whitefield, Bengaluru, bringing together a select group of global enterprise leaders, GCC CEOs, and senior decision-makers.
The Government delegation will be led by Hon'ble Shri Priyank Kharge, Minister for Electronics, IT/BT and Rural Development & Panchayat Raj, Government of Karnataka, alongside Dr. N. Manjula, IAS, Additional Chief Secretary, Department of Electronics, IT, BT and Science & Technology; Dr. Avinash Menon Rajendran, IAS, Managing Director, Karnataka Innovation & Technology Society (KITS); and Sanjeev Kumar Gupta, CEO, Karnataka Digital Economy Mission (KDEM).
This invitation-only conversation offers a rare opportunity for candid dialogue with Karnataka's senior policy leadership shaping the future of the world's leading Global Capability Center ecosystem.
Home to more than 1,000 GCCs—nearly 50% of India's GCC landscape—Karnataka has built its leadership through sustained policy innovation, a dedicated GCC Policy, and initiatives such as KATALYST, designed to simplify and accelerate GCC growth. With US$13 billion in FDI equity inflows in FY26, led by technology, data centres, and GCC investments, the state continues to set the pace for global enterprises choosing India as a strategic innovation destination.
As GCCs evolve into global hubs for AI, engineering, product development, and enterprise innovation, the discussion will focus on Karnataka's roadmap for enabling the next phase of growth—from AI infrastructure and deep-tech talent to research partnerships, policy priorities, and the expanding role of GCCs in creating strategic value for global headquarters.
Attendance is strictly by invitation. Participation is limited to a select group of CXOs, GCC leaders, and global executives responsible for enterprise strategy, investment, and expansion decisions.
As AI reshapes how GCCs operate, leaders face new questions about investment, accountability, and value creation. This session brings together experienced practitioners to explore how organizations are thinking about AI economics and governance. Through peer perspectives and real-world context, participants gain insight into emerging approaches for connecting AI strategy to organizational impact.
GCC leadership, cross-functional by design: Center Heads and site leaders
Finance and CFO-office representatives
AI, data, and transformation leads
Function heads running live AI deployment.
Skills mapping is easy; deciding what to do with the findings is hard. This session explores how leaders separate urgent gaps from noise, and turn skills inventories into real hiring, training, and build-vs-buy decisions.
HR professionals with expertise in talent intelligence, people analytics, and workforce planning.
Capability alone doesn't guarantee value. Zinnov's evolving Maturity Framework now measures not just how capable a GCC is, but whether that capability translates into enterprise outcomes. This session explores the gap between what centers can do and what they're actually delivering, the gap between AI ambition and measurable enterprise impact, and how leading organizations are closing it to drive measurable business impact.
GCC leaders and CXOs - Site/Center Heads, Chiefs of Staff, enabling-function leads
Manufacturers are increasingly using data and AI to improve supply chain resilience, enable smarter factory operations, and create more connected product ecosystems.
This session will explore how real-time data foundations, AI-driven workflows, and emerging agentic capabilities can help organizations move from reactive decision-making to more predictive and self-optimizing operations.
Participants will gain practical perspectives on how to accelerate their manufacturing AI journey, strengthen data foundations, and identify high-value use cases across the manufacturing value chain.
Data & analytics leaders, AI/ML practitioners, digital transformation heads, and technology decision-makers from manufacturing, supply chain, and GCC organizations looking to accelerate their data and AI strategy
Organisations are increasingly focused on moving AI initiatives beyond experimentation and embedding them across the enterprise. Doing so requires more than individual use cases. It calls for the right technology foundations, operating models, governance structures, and alignment across global and local teams.
This exclusive roundtable will explore how banks can scale AI by strengthening their data, cloud, platform, and engineering capabilities, while balancing globally consistent systems with business-led and market-specific innovation. It will also examine how global digital and AI teams, business functions, and India GCCs can collaborate more effectively, and the capabilities India GCCs can increasingly own across the AI and technology lifecycle.
The discussion will focus on what it takes to build an AI-native organisation that can deliver measurable value while balancing speed, innovation, trust, risk, and regulatory expectations.
Leaders from Fintech, AI, Customer Experience (Senior Leaders from GCCs)
Indian healthcare GCCs already run clinical data platforms, R&D analytics and revenue cycle management at scale. What they don't own yet is the decision layer, the call on what that capability builds toward. This closed-door Think Tank brings together GCCs, startups, academia and policy to close that gap.
A healthcare AI engine is AI built in India, trained on Indian data, deployed globally, and trusted enough to shape clinical decisions and drug discovery. That's a bigger ambition than being a talent hub.
Three questions frame the room: Does India build AI for the world, or own the platforms it runs on? Does data scale through ABDM translate into usable data, given how fragmented access still is? And can AI move fast enough without breaking the trust healthcare demands?
Startups open with real use cases moving from operations into clinical impact. A panel of GCC, provider, R&D and policy leaders debates what it takes to make that leap. The room decides which tensions get argued live.
AI in retail is no longer only automating the work. It has started producing the judgment retail spent decades building on the shop floor: what to stock, what to brand, what to sell next. India is where that shift is happening fastest, and its GCCs haven't decided whether they claim that judgment or keep building the tools for someone else to use. This closed-door Think Tank brings together GCCs, startups, academia, quick commerce and open-network leaders to work through that question.
Three problems frame the room. As AI absorbs coding and starts producing judgment too, does that make judgment easier to build in India, or harder to hold anywhere? Retail has less room than most sectors to fund research alone, so most engagements still stall at the pilot. What is actually in the way? And as agentic AI starts owning discovery, what survives, and who builds what replaces it?
Startups open with real deployments. GCC, academia, quick commerce and open-network leaders debate what closes each gap. The room votes live on which problem goes first.
AI is automating the workloads that built India's BFSI GCCs: compliance screening, transaction monitoring, settlements, reconciliation. At the same time, global banks are doubling down on India for risk, data and engineering. This Think Tank asks the direct question: will India be where these workloads get automated away, or where they get rebuilt as AI-powered platforms banks can't live without?
Three tensions frame the room. How much decision-making authority can a GCC hold over credit, fraud and underwriting, when BFSI runs on explainability and compliance? Can GCCs move at AI's speed without breaking the trust BFSI is built on? And do GCCs have real depth in AI talent, or reskilling in name only?
Risk, data and cyber are core workloads banks will never let go. KYC/AML, settlements and regulatory reporting sit in a contested middle layer, where the market is making opposite bets, from headcount cuts to full India investment. This session is about which side of that bet India lands on.
Voices from GCCs, startups, academia and government pressure-test two of these tensions live, then the room closes with one forward-looking commitment from every seat
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