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One day.
Three acts.

Wednesday, 3 June 202609:00 — 19:00 ISTWestin Mumbai Garden City17 Sessions
6Keynotes & Fireside
3Panels
4CXO Roundtables
3Practitioner Stories
Filter
Act I
The Frame
09:00 — 12:45
Act II
The Room
12:45 — 13:45
Act III
The Work
13:45 — 19:00
09:00
Registration & Networking Breakfast
Curated breakfast, badge pickup, first introductions.
09:30
Welcome & Opening Remarks
GPACTS Host · Setting the day's tension and frame.
Keynote15 min
Session detail

We open with the one question every pharma CIO is being asked by their board this year — and the frame we'll use to work it through.

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09:45
Enterprise AI Strategy for Indian Pharma
Keynote · From pilot to scale · P1 CIO/CDO speaker
Keynote30 min★ Highlight
Session detail

The data foundation every AI project needs before deployment. How do you move from a dozen lighthouse pilots to a portfolio that actually hits EBITDA? We hear it from a CIO who has.

  • The platform bets that decide whether AI scales at all
  • How to win the budget argument against a conservative CFO
  • The two roles every pharma AI org is under-hiring for
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10:15
The ISPE GAMP AI Guide — what pharma IT must know
Regulatory keynote · Dr. Ajay Babu Pazhayattil · ISPE advisor
Keynote30 min★ Highlight
Session detail

The three questions the GAMP AI Guide forces every pharma to answer before deployment:

  • How do you validate an AI model that learns and changes over time?
  • Who is accountable when AI makes a quality recommendation in a GxP process?
  • What must be documented — and retained — before AI touches a regulated environment?
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10:45
Networking & Refreshment Break
11:00
Data Governance in Regulated Environments
Panel · ALCOA++ meets Data Mesh · 4 panellists + moderator
Panel45 min
Session detail

Who owns data in a decentralised pharma enterprise — and what happens to regulatory traceability? ALCOA++ is a centralised idea. Data mesh is not. This panel wrestles the two into one operating model.

  • Domain ownership without losing inspection-readiness
  • FAIR data platforms that don't boil the ocean
  • Where the CDO ends and the QA head begins
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11:45
Predictive Quality & Yield Optimisation
Practitioner talk · From data problem to production AI deployment
Case Study30 min
Session detail

A manufacturing-floor deployment, walked end-to-end. The model. The data pipeline. The validation pack. The change control. What broke, what worked, and what it cost.

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12:15
GenAI in Pharma — hype vs reality
Fireside · CIO × Industry Analyst
Keynote30 min
Session detail

An honest 30 minutes on where GenAI has actually shipped inside pharma — and where the ROI is still a slide. Plus: the two use cases worth investing in next year.

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12:45
Networking Lunch — curated seating
Seated lunch, pre-assigned tables by peer group.
13:45
Sponsor Keynote / Workshop
Title / Platinum Sponsor · 30 min, practitioner-led — no ads
Keynote30 min
Session detail

A sponsor session in the GPACTS format: real deployment, real numbers, real tradeoffs. Curated to the day's theme, not a product pitch.

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14:15
Building AI Talent & Culture in Pharma
Panel · 4 panellists · Build vs Buy vs Partner
Panel45 min
Session detail

Every CIO in this room faces the same talent crisis. Not enough AI-capable people — and a culture that resists change.

  • Hiring AI talent vs reskilling vs IT services partners
  • How to innovate inside a compliance-heavy environment
  • Why plant teams resist AI — and how to change that
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15:00
AI-Powered Drug Discovery & Clinical Trial Optimisation
Practitioner talk · How AI is reshaping R&D and clinical ops
Case Study30 min★ Highlight
Session detail

A case study from discovery chemistry through to adaptive trial design. Where machine learning is actually moving molecules faster — and where it's still hand-holding a human.

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15:30
Networking & Refreshment Break
15:45
CIO–CDO Dialogue · Aligning Data Strategy with Business Outcomes
Closed roundtable · CXO invite-only · 4 concurrent tables
Roundtable45 min★ Highlight
Session detail

Four tables. Chatham House rules. No press, no recording, no vendors.

  • Table 1: AI Validation — applying GAMP 5 to ML models in practice
  • Table 2: Data Governance — building FAIR data platforms without boiling the ocean
  • Table 3: Cloud GxP Security — securing SaaS/cloud in validated environments
  • Table 4: Enterprise AI Strategy — build vs buy vs partner for pharma AI
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16:30
RPA & Intelligent Automation in Pharma Supply Chain
Practitioner talk · Real ROI in months, not years
Case Study30 min
Session detail

The un-sexy AI story that actually pays. A supply-chain automation programme with audited numbers — cycle time, exception rate, headcount impact.

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17:00
The Future of Pharma IT — 2030 Vision
Closing keynote · 4 shifts every pharma CIO must prepare for
Keynote30 min★ Highlight
Session detail

The closing frame. Four shifts every pharma CIO must plan for between now and 2030:

  • AI-native pharma operations
  • Autonomous quality systems
  • Digital supply chain twins
  • Personalised medicine IT
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17:30
Vote of Thanks & Closing
GPACTS Host
Keynote15 min
17:45
Networking Reception & Cocktails
Sponsor-hosted · Pharma Now photo booth · Off-the-record mixer