Overview

Following the tremendous success of our inaugural edition in Bengaluru, the FUTURE OF AI IN DATA ANALYTICS SUMMIT (FAIDAS) has quickly emerged as one of India’s most credible and high-impact platforms focused on the real-world future of enterprise AI and data analytics. The Bengaluru edition delivered strong participation, powerful peer-to-peer engagement, and a highly curated leadership experience that set the benchmark for what the summit represents.

A defining highlight of the first edition was the announcement of the FAIDAS 50 Powerlist — a prestigious peer-curated recognition honouring India’s Top 50 Data and AI exponents and leaders. This milestone brought together the country’s most influential minds shaping the AI, data, and analytics landscape, and established the FUTURE OF AI IN DATA ANALYTICS SUMMIT as a platform not just for discussion, but for recognition, credibility, and industry-wide influence.

Now, on popular demand, the FUTURE OF AI IN DATA ANALYTICS SUMMIT (FAIDAS) comes to Hyderabad — a city that is rapidly expanding its global footprint through Global Capability Centers (GCCs), a thriving pharma and biotech ecosystem, and some of India’s fastest-growing enterprise innovation hubs. This edition will spotlight how the future of AI and data analytics is disrupting and redefining key sectors driving Hyderabad’s growth — from GCC transformation to AI-led innovation across life sciences, healthcare, technology, and other leading industries.

With a strong focus on scaling trusted AI in regulated and complex enterprise environments, the FUTURE OF AI IN DATA ANALYTICS SUMMIT will convene senior decision-makers, practitioners, and ecosystem leaders to explore actionable strategies, real enterprise case studies, and the frameworks required to operationalise AI responsibly and at scale.

Why Attend – Hyderabad Edition

01
01

Hyderabad is where Enterprise AI is being scaled beyond pilots

Leaders are now building AI ecosystems with governance, validated data pipelines, and measurable business outcomes, not just experimentation.
02
02

Direct relevance to the GCC ecosystem

As Hyderabad’s Global Capability Centers evolve into strategic value centers, the summit addresses AI operating models, cross-border execution, and scalable delivery frameworks.
03
03

Built for Hyderabad’s regulated Pharma, Biotech & Life Sciences hub

Focuses on scaling AI with validation, trust, audit readiness, and real enterprise use cases across clinical, quality, PV, and supply chain.
04
04

Practical playbooks to modernise Hyderabad’s data foundations

Tackles real enterprise challenges like fragmented legacy data, harmonisation, reliability, observability, and AI-ready pipelines.
05
05

AI governance & compliance is now a boardroom priority

The summit deep-dives into model validation, bias testing, compliance audits, and enterprise-grade governance structures.
06
06

Addresses growing AI security risks in enterprise environments

covers AI threats, privacy risks, and zero-trust architecture required for mission-critical deployments.
07
07

Access to a senior, decision-making audience in Hyderabad

CIOs, CDOs, Chief AI Officers, risk and compliance leaders, and transformation heads shaping AI budgets and enterprise roadmaps.

Speakers & Panelists

Shubhradeep Nandi
Shubhradeep Nandi
Chief Data Scientist
Government of Andhra Pradesh
Rupessh Goel
Rupessh Goel
Managing Director
US bank GCC
Vivek Rajagopal
Vivek Rajagopal
Group Chief Analytics & AI Officer
Narayana Health
Amrish Kumar
Amrish Kumar
Chief Product & Technology Officer
Ascent Health Solutions
Srinivas Achyutuni
Srinivas Achyutuni
Chief Technology Officer, Omendon Holding Limited
Board of Advisors Strategemist Corporation
Vivek Zakarde
Vivek Zakarde
Head- Data Strategy, AI & Privacy Officer
India First Life
Dr. Vamshi Krishna
Dr. Vamshi Krishna
Chief Growth Officer
Apollo Radiology International
Dr. Anish Agarwal
Dr. Anish Agarwal
Vice President and Global Head of AI & Automation
Warner Bros. Discovery
Aditya Ranjan Patro
Aditya Ranjan Patro
AI Innovation & Strategy Leader
Mukesh Rathi
Mukesh Rathi
Chief Advisor
Mukesh Rathi Advisory Services
Vikram Peruka
Vikram Peruka
Global Head of Product Modernization - International Health
Cigna Healthcare
dilip manepalli
Dilip Manepalli
Vice President- Innovation & Analytics
Vodafone
Anurag Garg
Anurag Garg
SVP and Global Capability Center (GCC) Head of Technology
Ryan
Nitin Kumar Satankar
Nitin Kumar Satankar
AVP Industrial AI and IOT Edge Platforms
JioThings
Vijay Morampudi
Vijay Morampudi
Senior Vice President
MARSH GCC
Ranan Bhattacharya
Ranan Bhattacharya
Practice Head - Consulting
Marg business transformation
Aditya Srivastava
Aditya Srivastava
Senior Associate Director
HSBC
Arun Soni
Arun Soni
Executive Vice President and Country Manager
ConnX Communications Pvt Ltd
Sajid Husain
Sajid Husain
Assistant Director – Digital Transformation, Cloud & AI Programs
EY
Supriya Naik
Supriya Naik
Senior Vice President - AI Products
Opzen
Harshad Prabhakar Sawant
Harshad Prabhakar Sawant
Director - Global Cybersecurity Engineering
PepsiCo
Yaswanth Kothainti
Yaswanth Kothainti
Vice President – Data Engineering & Platform
Razor Group GmbH
Dr. Anil Goyal
Dr. Anil Goyal
Principal Data Scientist
Mastercard
Dr. Subarna Roy
Dr. Subarna Roy
Chief Data Scientist
IBM
AneelKumar Savalagi
AneelKumar Savalagi
Global Chapter Leader – Global DD&T
Takeda ICC(Innovation Capability Centre)
Vishal Saroha
Vishal Saroha
Executive Director, Data Management
Wells Fargo
Sravanthi Upadrasta
Sravanthi Upadrasta
Agentic AI Strategy Consultant
Independent
Venu Madhav
Venu Madhav
Data Leader
PwC India
Saurabh Chatterjee
Saurabh Chatterjee
Head – Risk, Compliance & Internal Controls
GUS Education India
Chaitanya Babhulgaonkar
Chaitanya Babhulgaonkar
Vice President | AI Leader
HSBC

Partners

Supported by

MEDIA PARTNERS

Event Objectives

Scale Trusted AI

Beyond pilots with actionable enterprise execution frameworks.

Unite the full ecosystem

Enterprises, GCCs, regulated industries, providers, and policymakers—on one platform.

Drive cross-industry learning

Through real case studies across India and global enterprise operations.

Advance AI governance & compliance

With practical audit-ready validation and risk controls.

Strengthen AI-ready data foundations

Modernisation, quality, observability, and harmonisation at scale.

Enable secure enterprise AI

Via zero-trust approaches, privacy safeguards, and AI threat readiness.

Build leadership recognition & networks

Through FAIDAS and the FAIDAS 25 Recognition Gala.

Critical Sponsor Value Points –
Why Sponsor?

Engage buyers at the “data strategy to AI strategy” stage

Enterprises are realising AI outcomes are only as good as the data foundations behind them. Sponsoring FAIDAS positions you early, when leaders are deciding data platforms, governance models, and analytics operating structures.

Own the conversation on “Data Confidence” — the real gatekeeper of AI scale

Enterprises are moving from dashboards to decision intelligence, but only when data is reliable. This edition focuses on building quality, observability, lineage, and trust in AI-ready data pipelines—exactly where vendors get shortlisted.

Show measurable value: analytics-driven outcomes are easier to justify than “AI hype”

Data analytics delivers tangible ROI: faster decision cycles, better forecasting, cost reduction, risk reduction, and operational visibility—making your solutions easier for enterprises to fund and scale.

Position as a “governed scale partner” for regulated industries

Hyderabad’s GCC + pharma/biotech ecosystem demands analytics and AI that are audit-ready, explainable, and compliant. Sponsoring places you in the room where leaders evaluate validation, governance, and regulatory alignment.

Access the real buying committee for enterprise data & analytics transformation

FAIDAS brings decision-makers who influence selection across data platforms, analytics stacks, AI security, and governance—including CIOs, CDOs, CAIOs, CISOs, risk and validation leaders.

Pipeline (Revenue Impact)

  • Early access to enterprise leaders shaping AI programs (pre-RFP stage)
  • Qualified account discovery across GCCs + regulated industries
  • Visibility into transformation roadmaps and vendor shortlisting triggers

Meetings (Sales Velocity)

  • Direct 1:1 connects with CXOs and budget owners
  • Faster stakeholder mapping (IT + business + risk/compliance)
  • Higher-intent discussions vs cold outreach

Thought Leadership (Market Authority)

  • Stage positioning aligned to enterprise challenges: governance, security, scale
  • Opportunity to lead “non-sales” conversations that earn trust
  • Association with the industry’s execution-focused AI blueprint

Credibility (Brand Trust + Differentiation)

  • Strong relevance in regulated sectors where “trust” matters most
  • Premium brand proximity through FAIDAS ecosystem + Recognition Gala
  • Builds long-term perception as a strategic partner, not a tool vendor

Attending Landscape (Region-Led, Enterprise-Grade Audience Mix)

A) Industry Representation

  • IT / ITeS + Global Capability Centers (GCCs) – 30%
  • Pharma + Biotech + Life Sciences – 22%
  • BFSI (Banking, Insurance, FinTech) – 14%
  • Healthcare Providers (Hospitals, HealthTech) – 10%
  • Manufacturing + Industrial / Engineering – 9%
  • Energy + Utilities – 6%
  • Telecom + Media – 5%
  • Retail + E-Commerce / Consumer Tech – 4%

B) Job Titles / Seniority Breakdown

This summit attracts the people who fund, govern, deploy, and scale AI + Analytics.

1) CXO & Executive Leadership

  • CIO / CTO
  • Chief Data Officer (CDO)
  • Chief Analytics Officer
  • Chief Digital Officer
  • Chief AI Officer / Head of AI

2) AI, Data & Analytics Leadership

  • Head of Data Science / AI
  • Head of Data Engineering
  • Head of Analytics / BI
  • AI Architects / Enterprise AI Leads
  • Directors / VPs – Data & AI

3) Risk, Governance & Compliance Leadership

  • Chief Risk Officer (CRO)
  • Head of Compliance / Governance
  • Model Risk Managers
  • Audit & Validation Leaders
  • Regulatory Affairs / Quality Documentation Heads

4) Operations & Transformation Leadership

  • Heads of Shared Services / GCC Operations
  • Transformation Heads / Strategy Leaders
  • Clinical Ops / PV / Life Sciences Ops Heads
  • Supply Chain & Manufacturing Analytics Leaders
  • Product & Innovation Leaders

C) Delegate Demographic Representation

This reflects the type of organisations and teams you’ll see in the room:
  • Enterprise / Captive Centers (Large Companies + GCCs) – 50%
  • Regulated Industry Practitioners (Pharma, BFSI, Healthcare) – 30%
  • Technology Providers (Platforms, Cloud, AI, Security, Consulting) – 15%
  • Academia / Ecosystem Enablers / Associations – 5%

Spotlight: FAIDAS 25 – Hyderabad Enterprise AI & Data Impact 25

The day concludes with a powerful recognition moment — FAIDAS 25: “Hyderabad Enterprise AI & Data Impact 25”, a special edition honouring 25 high-impact leaders from the regional ecosystem who are driving measurable outcomes through AI and data analytics.
This recognition celebrates excellence across Hyderabad’s strongest enterprise engines, including GCC transformation & global operations, pharma/biotech & life sciences innovation, BFSI risk, compliance & fraud intelligence, healthcare analytics & applied AI, and industrial analytics for operational intelligence.

What makes this edition unique

While the Bengaluru edition featured a National Powerlist (Top 50 across India), the Hyderabad edition spotlights regional execution leaders shaping real enterprise transformation from this ecosystem — making it distinct, logical, and truly purpose-driven.

Full Day Agenda

Future of AI in Data Analytics Summit (FAIDAS) – Hyderabad Edition

08:30 – 09:30
08:30 – 09:30

Registration & Networking

09:30 – 09:40
09:30 – 09:40

Opening & Welcome Address

09:40 – 10:05
09:40 – 10:05

Opening Keynote: From Data-Driven to AI-Native Enterprises: The Trusted AI Blueprint for 2026

A high-impact keynote setting the tone for the day, focused on what it truly takes to move from AI experimentation to enterprise-scale transformation. This session will unpack why most AI pilots fail, and what leaders must build instead—trusted data foundations, scalable analytics, strong governance, compliance readiness, and measurable outcomes—to operationalise AI across business functions in 2026 and beyond.
10:05 – 10:35
10:05 – 10:35

Fireside Chat: GCC 2.0: How Hyderabad’s Global Capability Centers are becoming AI Value Factories

As GCCs evolve from delivery centers to strategic value hubs, this panel explores how Hyderabad’s leading GCCs are shifting from centralised analytics teams to distributed, scalable AI delivery models. Leaders will share practical insights on building the right operating model, aligning global stakeholders, and driving clear cost-to-value accountability to ensure AI investments translate into measurable business outcomes.
10:35 – 11:20
10:35 – 11:20

CXO Panel: AI + Data Analytics in Regulated & Mission-Critical Environments: What Must Change Now?

This panel brings together leaders from pharma/life sciences, BFSI, and enterprise GCC operations to address the realities of scaling AI in high-stakes environments. The discussion will unpack what must evolve across model validation, audit readiness, governance, and risk controls, while balancing explainability vs performance and enabling decision automation at enterprise scale without compromising trust or compliance.
11:20 – 11:50
11:20 – 11:50

Networking Break + Partner Connect

11:50 – 12:15
11:50 – 12:15
12:15 – 12:45
12:15 – 12:45

Technical Deep-Dive (Power Session): Data Foundations for AI: Quality, Observability, Lineage & Trust

This high-intensity technical session breaks down what truly blocks enterprises from becoming GenAI-ready — not lack of models, but lack of trusted data foundations. The session will cover how leaders can tackle data quality gaps, observability blind spots, lineage complexity, data drift, model drift, and growing accuracy debt, and how to build analytics systems that remain reliable, explainable, and trusted as AI moves into production.
12:45 – 13:30
12:45 – 13:30

Solution Showcase | 45 mins - Enterprise AI Stack in Action” (3 Sponsors x 15 mins)

A crisp, demo-led showcase of enterprise-ready solutions powering Trusted AI at scale—from GenAI/RAG accuracy & evaluation, to real-time analytics & decision automation, and data governance, observability & compliance automation.
13:30 – 14:30
13:30 – 14:30

Networking Lunch

14:30 – 14:55
14:30 – 14:55

Industry Spotlight: AI in Pharma & Biotech: From Research to Real-World Operations

A focused session on how AI and analytics are transforming pharma and biotech across clinical intelligence, PV automation, quality systems, and audit-ready compliance—including practical use cases in batch intelligence and resilient supply chains.
14:55 – 15:40
14:55 – 15:40

Enterprise Case Studies

A back-to-back enterprise case study segment featuring real deployments and measurable outcomes across Life Sciences/Healthcare, GCC operations, BFSI and Shared Services. Case studies will showcase practical applications such as quality and safety intelligence, batch and deviation analytics, audit-ready data systems, and large-scale decision automation including fraud and risk analytics, underwriting intelligence, intelligent document processing, credit augmentation, and explainable AI for regulated workflows.
15:40 – 16:00
15:40 – 16:00

Networking Break

16:00 – 16:45
16:00 – 16:45

Leadership Panel: Building AI-Ready Teams: Roles, Skills & Operating Structures for the Next 5 Years

As enterprises move from experimentation to scaled AI delivery, talent and operating structure become the biggest differentiators. This panel explores the new roles emerging across the AI lifecycle—AI auditors, validators, AI security specialists, and cross-functional governance teams—along with practical models for governance councils, skill-building pathways for business and tech teams, and clear accountability frameworks that define who truly owns AI outcomes.
16:45 – 17:30
16:45 – 17:30

Strategic Innovation Panel: The Next Wave of Enterprise AI Innovation: Scaling What Works, Securing What Matters

A future-focused panel exploring where enterprise innovation is headed beyond pilots and hype. Leaders will discuss how organisations can drive faster experimentation while still scaling responsibly—through the right governance, security, and value frameworks, a practical AI maturity roadmap, and strong data + analytics foundations that turn innovation into measurable enterprise outcomes.
17:30 – 18:30
17:30 – 18:30

Recognition Session: FAIDAS 25 – “Hyderabad Enterprise AI & Data Impact 25”

A signature closing recognition celebrating 50 leaders from the regional ecosystem driving measurable AI and data analytics outcomes across GCC transformation, pharma/biotech & life sciences, BFSI risk and compliance, healthcare analytics, and industrial intelligence. This is a unique format that complements the Bengaluru National Powerlist, by spotlighting regional execution leadership and enterprise impact.
18:30
18:30

onwards | Networking & Closing Reception

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