Agenda
AI CREATES
What new things become possible?
Main Stage
5 SessionsThe race is real. So is the noise around it. Two days open with an honest question rather than a claim: where are we actually, underneath the announcements and the pilots and the pressure to look busy? A short welcome that sets up what Day 1 is for, and what Day 2 will answer.
The macro picture, told straight. Where the distance between promise and proof is widest right now, what is genuinely moving, and what the next eighteen months will separate. A view drawn from work with the enterprises, centers and investors building this out, and a clear read on where the bets are being placed.
Every era has thought the next one's work looked absurd. AI is the latest force redrawing the line, and the redesign has already started. Jobs are being rewritten rather than erased: the same work survives in a new form, and the evidence on job loss is more nuanced than the headlines allow. The same exposure splits two ways, automate or augment, which makes the outcome a design choice rather than destiny. What the data shows about the global hunt for AI talent, how skills are being swapped inside every title, and why the quieter fear is not losing your job but losing your nerve.
India has the talent, the scale and the moment. This is a conversation about what becomes possible to build from here, starting now, and why the window rewards the people who move rather than the people who wait. Not a claim about destiny. A question about what has to happen while the opening is still there.
The people building the infrastructure see the frontier before anyone else does. What genuinely becomes possible as compute and models advance, what enterprises are doing with it today, and what it takes to turn a capability into something that runs in production.
AI DISRUPTS
What breaks first?
AI DISRUPTS
4 SessionsDespite AI’s rapid evolution, your competitive differentiation in an agentic world will be less about having the most intelligent model and more about your ability to keep the AI environment resilient and continuous. In this keynote, Commvault President and CEO Sanjay Mirchandani will explore how resilience is the enabler enterprises need to deploy autonomy at scale.
AI hit the GCC model first and hardest. The work centers were built on is being automated, and the old equation of scale and cost no longer holds. The best centers didn't defend the old model. They flipped the script: they made AI their own advantage, and they are now delivering things their parents never asked a centre for. AI products in production, global playbooks written from India, and mandates that keep growing. This session brings together the leaders of those centers on what they changed first, what they are delivering now, and what it takes to turn the biggest disruption in the model's history into its biggest opportunity.
A new generation of GCCs is skipping the maturity curve rather than climbing it. They are delivering from the first quarter rather than the third year, because the things that used to take time, trust, ecosystem access and learning, all arrive faster now. This conversation is about what changes when a centre starts at speed: how leaders rethink control, how they build confidence in AI driven systems, and how autonomy and accountability get set early rather than earned slowly. At its core it is about pairing human judgment with AI to build centers that are not just faster but sharper.
Activity is not innovation. Enterprises have never invented more and shipped less, and the gap between the two is where budgets quietly go to die. What separates invention from value, why so much good work never reaches an outcome, and what changes when you measure the second thing rather than the first.
Work
3 SessionsSome work is moving off the centre's plate and new work is landing on it. What is actually shifting, what is arriving in its place, and how the best leaders choose what their centre should own next.
As AI moves from pilot to everyday use, the bill arrives, and it lands in places nobody budgeted for. What running intelligence actually costs at scale, where the spend concentrates, and how leaders keep the economics from breaking as usage climbs.
When agents can take the tasks, the question turns to what people are for. How the line between human and machine work is being redrawn, and what a leader looks for in people once execution stops being the scarce thing.
Talent & Capabilities
3 SessionsAs AI spreads, the distinctively human skills rise in value rather than fall. Which capabilities become the real differentiator, how leaders spot them, and what it takes to build for them deliberately rather than hoping they show up.
Appraisals, promotions and pay were all built to measure what people produce. Now AI does a lot of the producing, and the old scorecards no longer tell you who is adding value. How HR leaders are rethinking the way they rate, rank and reward when activity stops being a signal.
Most reskilling effort points at the front line, while the people making the biggest AI calls are often the least trained on it. How organizations close the gap at the top: how leaders build genuine fluency rather than surface familiarity, how boards learn enough to ask the right questions, and why the quality of decisions at the top decides whether AI delivers anywhere else.
AI REWIRES
What happens when work itself changes?
AI REWIRES
4 Sessions02:00 PM - 02:35 PM
No company compounds alone. The gains that separate the leaders in the AI era come from what a company can draw on around it: partners, talent, capital, government, and the institutions that connect them all. This panel brings together voices from inside enterprises and from the bodies that hold the industry together, on where the ecosystem genuinely multiplies what a single company can do, where it still falls short of the promise, and what has to be built next so that the whole system compounds rather than a fortunate few.
As the technical work automates, the human parts of leadership rise in value rather than fall. Trust, judgment and the ability to move people are the things no model reaches. A short, sharp talk on what is actually left to lead, and why it is more valuable now than it has ever been.
Investors watch patterns across dozens of companies that no single operator can see from inside one. What the smart money is backing, what it is quietly walking away from, and which models are cracking before the market notices. A candid read from the people whose job is to be right about this early.
Leadership is one of the oldest human practices, and the problem it solves has barely changed. People still have to be persuaded, held together, and given a reason. The tools change every generation; the underlying work does not. A closing note that steps back from the race to look at what leaders have always had to do, and what the new tools are actually for.
People
3 SessionsThe GCC playbook used to be stable: a known sequence, a known timeline, a known ramp. AI has broken the sequence. Mandates arrive with shorter shelf lives, businesses expect capability in quarters rather than years, and the playbook is being rewritten by the people running it, while they run it. A conversation about what still holds, what has been thrown out, and what building in India looks like at the new pace.
The technology now updates monthly. Organisations were built to change yearly. That gap is the quiet crisis inside every enterprise: capabilities that were rare last year are baseline this year, and what a team mastered in the spring may be automated by winter. This panel is about the organizations closing the gap: how they decide what to get good at next, how they keep thousands of people current without exhausting them, and what they have stopped holding onto because the ground moved. The view from those who watch the pace across the ecosystem, and those who live it inside their own walls.
AI hands everyone instant breadth. Anyone can now reach across domains they never trained in. So where does the human edge sit: in going deeper than the machine, in ranging wider than a specialist ever could, or in some new shape entirely? A conversation about what to build in people when the org chart has no name for it yet.
Zinnov Awards
Masterclass
11 Sessions11:00 AM - 12:00 PM
Enterprises are deploying AI agents faster than they can scale them. Most stay siloed: a chatbot for HR, another for finance, each rebuilt from scratch with little shared infrastructure. This session makes the case for a different approach: treating capabilities like retrieval, reasoning, orchestration, and evaluation as reusable assets that every new agent can draw on, rather than one-off builds.
Who Should Attend
Leaders from Fintech, AI, Customer Experience (Senior Leaders from GCCs)
11:15 AM - 12:15 PM
The GCC Opportunity in Uttar Pradesh: Talent, Technology, and What's Next
Venue : Heliconia 2
Uttar Pradesh has approved a GCC policy covering land, stamp duty, and payroll incentives. What has not yet been established is which GCCs will use it, and for what.
This roundtable, presided over by Shri Alok Kumar, Principal Secretary, IT & Electronics, Government of Uttar Pradesh, asks participating GCCs three questions directly: what capability could move to UP, what constraints currently prevent that, and what specific government action would change the decision. Sub-themes include talent, technology, infrastructure, and speed of execution.
Representatives from Invest UP and Deloitte join the discussion, contributing both the state's policy position and an external view of how GCCs evaluate location decisions.
The session is structured to produce specific commitments and specific asks, not a general discussion of UP's advantages.
Who Should Attend
GCC center heads evaluating a second or third India location. CHROs assessing talent markets beyond existing hubs. Real estate and infrastructure leads involved in site selection. Government affairs leads engaging with state incentive programs.
11:15 AM - 12:15 PM
Beyond AI Adoption: Building the Enterprise Productivity Control Room
Venue : Amarlyllis
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.
Who Should Attend
CXOs
11:15 AM - 12:15 PM
Beyond Headcount: The KPIs That Actually Predict Workforce Readiness for AI
Venue : Heliconia 1
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.
Who Should Attend
HR professionals with expertise in talent intelligence, people analytics, and workforce planning.
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.
Who Should Attend
European HQ Technology Leaders, GCC & India Leadership, AI / Data / Engineering Leaders
11:15 AM - 12:15 PM
Manufacturing Intelligence at Scale: From Connected Data to Agentic AI
Venue : Poinsettia 1
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.
Who Should Attend
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
02:15 PM - 03:15 PM
The Corporate Value Proposition: Transforming Public Spaces into Places
Venue : Amaryllis
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 organizations 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.
Who Should Attend
CSR Heads and Marketing 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.
Organizations have made significant investments in AI pilots across finance, operations, customer service, engineering, and shared services. While many have demonstrated promising results, scaling AI across the enterprise requires more than technology, it demands the right talent, operating model, governance, and execution capabilities.
This masterclass will explore what it takes to move AI from isolated experiments to enterprise-wide transformation. The discussion will examine how organizations can build AI-ready teams, develop the skills and operating models needed for adoption, and enable business functions such as finance, operations, customer service, and engineering to realize measurable value from AI.
Participants will gain practical insights into identifying high-impact AI opportunities, building the right talent and delivery capabilities, enabling cross-functional collaboration, and creating a roadmap for sustainable AI adoption across the enterprise.
Who Should Attend
CIOs & Chief Technology Officers
Chief Digital Officers
Heads of AI, Data & Analytics
Business & Digital Transformation Leaders
Business Operations Leaders
Finance Transformation & Shared Services Leaders
GCC & GBS Leaders
Technology & Engineering Leaders
03:00 PM - 04:00 PM
The Location Playbook: Mohali as North India's Emerging GCC Hub
Venue : Heliconia 2
With India's GCC market projected to grow from USD 64.6 billion to USD 105 billion by 2030, GCCs are increasingly weighing talent depth, cost efficiency, and quality of life against sheer metro proximity as they plan their next phase of expansion. This roundtable brings senior GCC leaders across sectors into conversation with Punjab's senior state leadership on what genuinely drives a location decision today, and on what 'investment-readiness' looks like from both sides of the table. The dialogue will explore where the next wave of specialised talent is emerging outside traditional metros, and how quality of life and lower attrition are becoming decisive factors in location strategy, with Mohali offering a deep engineering and management talent base alongside one of the more aggressive state-level GCC incentive frameworks in India.
AI UNLOCKS
What becomes possible when you get it right?
Main Stage
4 SessionsThe turn from diagnosis to opportunity. The concrete doors AI has opened: products that could not be built, markets that could not be served, problems that were too expensive to solve and now are not. And why this room is positioned to walk through them first.
Karnataka is entering a new phase of technology-led growth, with AI set to reshape how the state competes for investment, talent, and high-value global work. As GCC mandates become more strategic, the state’s edge will depend on how talent, policy, innovation, and ecosystem depth reinforce one another. The next test is attracting cutting-edge work, building world-class GCCs, and translating innovation leadership into lasting economic and national impact.
As AI reshapes the technology landscape, coming together can create possibilities that are greater than what either organization could achieve alone. This conversation explores the opportunity behind the merger, the power of complementary capabilities and cultures, and how a combined global organization can create greater value for customers and shape the next era of technology services.
Every economy gets a few defining acts. India's first was IT services, proving the world's work could be done from here. The second was the GCC era, proving it could be owned from here. The third is different in kind: AI deployed at a scale no other market can attempt, across a billion people, twenty-two languages, and digital public rails no other country has built. India has already taken payments and identity to population scale when the world said it could not be done. Whether AI follows that arc, and who builds it, is being decided now.
AI COMPOUNDS
What separates those pulling ahead?
AI COMPOUNDS
5 SessionsIndia's GCC story was written in five cities. The next chapter is being written across many more. As global mandates grow and the first-wave hubs fill, the question has moved from whether India wins the work to where in India it lands. Three states shaping that answer, from deep talent pools and new digital infrastructure to policy built for scale, on what it actually takes to turn investment-ready into innovation-ready, and what the next map of GCC India looks like.
Everyone has a strategy. Far fewer have delivered one. Execution is where AI transformations actually succeed. This session goes beyond the what and into the how. What does execution actually look like when the organization isn't ready, the data isn't clean, and the goalposts keep moving? How do the best operators build teams and systems that don't just withstand pressure but compound under it?
A story to lift the room, told by someone who has been on the other side of a long climb. Grit, nerve, and what it actually feels like to be built differently.
Most conversations about AI are about models and compute. Most failures are about neither. When AI stalls inside an enterprise the cause usually sits further down: data that is scattered, inconsistent, poorly governed and simply not ready. The smartest model cannot outrun a weak foundation. Why data readiness rather than model choice separates the AI that reaches production from the AI that quietly dies in pilot.
A city is shaped as much by what it builds as by what it builds toward. In a conversation away from the conference floor, a leader behind Bengaluru's Metro reflects on what it takes to build public infrastructure at the scale of a city - how a transit line changes where people live, how they work, and how a city sees itself - and what Bengaluru is becoming as its infrastructure catches up with its ambition.
Outcomes
4 SessionsThe stack moves too fast to own all of it. What to build, what to buy, what to borrow, and the evidence that partnered and bought approaches often beat fully internal builds. Where leaders are drawing the line around what is genuinely theirs.
The stack moves too fast to own all of it. What to build, what to buy, what to borrow, and the evidence that partnered and bought approaches often beat fully internal builds. Where leaders are drawing the line around what is genuinely theirs.
Sayandeb Banerjee
Most AI pilots look promising and never become the way work gets done. What actually carries an experiment into everyday operations, and why the hard part so often begins after the proof of concept.
Straight from the AI trenches: the leaders building and deploying AI inside real enterprises, on what actually happened after the demo. The data that wasn't ready, the pilots that fought back, the fixes that worked; first-hand war stories of getting AI into production, and what they'd do differently starting today.
WINNING THE AI RACE
What winning takes, and who's proving it
WINNING THE AI RACE
4 Sessions02:00 PM - 02:40 PM
The AI era doesn't reward one kind of leader. It rewards three, and they don't always agree. The Architect designs for what's coming, building systems and organizations meant to last. The Accelerator compresses time, turning ambition into momentum before the window closes. The Anchor holds it steady, protecting the trust, culture, and judgment that speed can quietly spend. This session brings together leaders who have seen all three at close range: in their teams, their boards, and themselves. Which archetype does this moment reward, where does each one fail, and what does the mix look like inside organizations that are actually winning?
The diagnosis is the easy part. The job is deciding. Every leader in this room is running a company through a shift they cannot see the end of, and the decisions will not wait for clarity. Capital has to be committed before the returns are provable. Things people spent years building have to be stopped to pay for things that do not exist yet. And the organisation has to be carried through both. This session is about how that is actually done: where the money went and why, what got killed to fund it, how they held their teams through the turn, and what told them a bet was working long before the numbers did.
Same company, same mandate, same talent pool, and some centers pull ahead while others stay delivery arms. The people in the corner office on what actually separates them: the decisions they made, the ground they took, and the things they refused to do.
The send-off. A final voice to leave the room activated rather than informed.
Mindset
3 SessionsThe technology usually works. The outcome often doesn't arrive anyway. Between a working system and a business result sits a gap that rarely gets named, and it is where most AI efforts are decided: adoption, workflow, trust, and follow-through. This session brings together leaders who close that gap for a living. How they get real people to change how they work, how they redesign the workflow around the system rather than bolting the system onto the workflow, how they earn the trust that makes usage stick, and how they follow through long after the launch excitement fades.
The hardest moment to push is when things are going well, and for most leaders in this room things are going well. This session is about the leaders who treat a good quarter as the signal rather than the reward. How they keep raising a bar they have already cleared, how they hold a standard nobody handed them, and how they tell real ambition apart from change for its own sake.
Some organizations drive adoption through rules and mandates. Others through behaviour and culture. Leaders genuinely disagree about which one makes it stick. A conversation about what actually moves people to use this, the policy you set or the culture they are already in.
Behind every iconic jersey is a journey of discipline, resilience, and the courage to redefine what is possible. In this candid conversation, Mithali Raj reflects on her path from a young cricketer with a dream to one of the most accomplished leaders in world cricket.
The Journey Behind the Jersey explores the defining moments, pressures, setbacks, and quiet determination that shaped her record-breaking career-and her larger mission to build visibility, belief, and opportunity for women in Indian sport. Honored with the Arjuna Award, Padma Shri, and Major Dhyan Chand Khel Ratna Award, Mithali’s journey is a testament to excellence sustained over decades.
It is a story of leadership under scrutiny, achievement against the odds, and the enduring legacy of a trailblazer who changed Indian women’s cricket for generations to come.
THINK TANKS
3 Sessions11:30 AM - 12:50 PM
Healthcare
India as the World's Healthcare AI Engine. What Will It Take?
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.
11:15 AM - 12:45 PM
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.
02:15 PM - 03:45 PM
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
Masterclass
7 Sessions08:15 AM - 09:15 AM
Breakfast Roundtable - Karnataka's Long Game: Why the State Keeps Winning GCC Bets
Venue : Amaryllis, Petunia
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 Shri Sharath Kumar Bache Gowda, Chairperson, KEONICS, MLA, 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 USD 13 billion in FDI equity inflows in FY26, led by technology, data centers, 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.
10:30 AM - 11:30 AM
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.
Who Should Attend
Senior Healthcare Leaderships - Directors and Above
11:15 AM - 12:15 PM
Skills Gap to Skills Strategy: Why AI Readiness Starts with Honest Inventory
Venue : Poinsettia 2
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.
Who Should Attend
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.
Who Should Attend
GCC leaders and CXOs - Site/Center Heads, Chiefs of Staff, enabling-function leads
11:15 AM - 12:15 PM
The Economics of AI in the GCC: Owning What AI Costs, Proving What It Returns
Venue : Heliconia 2
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.
Who Should Attend
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.
02:15 PM - 03:15 PM
Every enterprise has moved past AI pilots. The harder problem now is running AI at scale without losing control of it. This roundtable brings together senior leaders with an active hand in their company's AI agenda to trade real practices on governance, security, token cost and ROI.
The room stays practitioner-led, built for people closest to the decisions, sharing what's actually working, and what isn't, as AI moves from experiment to infrastructure.
Who Should Attend
Senior leaders who play an active role in driving the company's AI agenda, strategy, or initiatives
02:15 PM - 03:15 PM
Ranjit Bajaj has spent nearly a decade making high-stakes decisions with less money and less margin for error than the clubs he's competed against, and has still won titles and produced players good enough to score against Argentina. That pressure, having to be right more often than your better-resourced rivals because you can't afford to be wrong, is close to what CXOs and center heads are living through right now, building AI capability, defending budgets and making irreversible calls with incomplete information and an unforgiving timeline.
This invite-only session is a direct conversation with Bajaj on how he actually holds up under that kind of pressure, what it costs him personally, the decisions he's gotten wrong under pressure and what he changed after, and what steadies him when a call has to be made now, with no room to wait for more certainty.
