
Pharma's 2026 predictions revisited: AI tools have arrived, but organizational readiness, data governance, and regulatory gaps now limit real-world impact.

Founder, Kolter AI | Managing Partner, Kamet Consulting Group | Pharma & medtech M&A integrations, divestitures, tech transfers & CMC changes | Ex-PwC

Pharma's 2026 predictions revisited: AI tools have arrived, but organizational readiness, data governance, and regulatory gaps now limit real-world impact.

Pharma's 2026 predictions revisited: AI tools have arrived, but organizational readiness, data governance, and regulatory gaps now limit real-world impact.

Pharma manufacturing and development experts reassess their 2026 predictions for the industry and look ahead to the second half of the year.

Six months in, pharma manufacturing and development experts reassess their 2026 outlooks and predict what comes next.

Megha Sinha, Kolter AI explains how Pharma has automated drug discovery and manufacturing AI, but not regulatory execution.

Megha Sinha, Kolter AI, discusses how pharma's AI bottleneck shifted from technology to readiness as execution across 60 markets stays manual.

Megha Sinha, Kolter AI, talks on how orchestrator roles surged in pharma AI, but teams need computed plans, not titles, to close the skills gap.

Megha Sinha, Kolter AI, discusses how digital twins run pharma supply chains but miss the regulatory execution needed to launch changes across markets.