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The Productivity Illusion: Why AI Gains Are Not Translating Into Enterprise Value, Upcoming Webinar Hosted by Xtalks

www.xtalks.com

News provided by

Xtalks

Sep 01, 2026, 08:30 ET

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In this free webinar, learn what can prevent AI productivity gains from delivering measurable business outcomes. The featured speakers will discuss how fragmented tools and workflows, limited integration and weak measurement can constrain AI impact across organizations. Attendees will also explore how to move from isolated productivity gains and pilot projects toward stronger operating models and clear measures of AI value.

TORONTO, Sept. 1, 2026 /PRNewswire/ -- Across enterprises today, AI adoption is accelerating, with growing investment, expanding tool deployment and increasing workforce engagement. Yet productivity gains are not consistently translating into measurable enterprise value. This webinar will examine why that gap persists and what organizations can do to move from AI activity to AI value realization.

www.cognizant.com
www.cognizant.com
www.cloud.google.com
www.cloud.google.com

The session will explore four forces contributing to this disconnect. These include fragmented tools, workflows and data; perceived productivity gains that outpace validated outcomes; AI initiatives that remain experimental rather than embedded in the operating model; and measurement approaches that emphasize usage rather than business value. Attendees will examine how these forces can create a productivity illusion in which AI activity increases without a corresponding improvement in enterprise outcomes.

The webinar will then focus on four critical shifts: from AI adoption to AI value realization, from task productivity to enterprise productivity systems, from pilot success to operating-model transformation and from linear gains to compounding value loops. The discussion will consider why local efficiency improvements do not automatically translate into broader business impact and what structural changes are required to close that gap.

Attendees will also explore how current AI ROI narratives are being challenged, how to measure impact beyond usage and perception, what it takes to industrialize AI at enterprise scale and how organizations can approach AI as an integrated, compounding system rather than an isolated tool.

AI rarely fails at the point of capability. It fails at the point of integration, operating model and measurement. Addressing these areas is central to moving from perceived productivity gains to sustained enterprise value.

Register for this webinar to learn how AI can move beyond task-level productivity and support measurable enterprise value through stronger integration, operating models and measurement.

Join Shweta Singh Maniar, Global Director, Healthcare & Life Sciences, Google Cloud; Gaurav Sharma, Market Innovator, Life Sciences, Cognizant; and Akshat Jhaveri, Vice President, member of ELT- Software Platform and Engineering, Cognizant, for the live webinar on Monday, September 28, 2026, at 12pm EDT (6pm CEST / EU-Central).

For more information, or to register for this event, visit The Productivity Illusion: Why AI Gains Are Not Translating Into Enterprise Value.

ABOUT XTALKS

Xtalks – The Life Science Community™ empowers professionals across pharma, biotech, medtech, healthcare and research with the trusted knowledge and collaborative insights that move the industry forward. Powered by Honeycomb Worldwide Inc., Xtalks delivers news, feature articles, webinars, podcasts, videos, expert interviews, curated job opportunities and more designed to support informed decision-making in a fast-evolving sector.

Every year, thousands of professionals rely on Xtalks for timely intelligence, peer perspectives and industry thought leadership. Join our life science community to stay informed, connected and ready for what's next.

To learn more about Xtalks, visit www.xtalks.com
For information about working with Xtalks to host your webinar, visit https://xtalks.com/partner-with-us/

Contact:
Soumya Shashikumar
Tel: +1 (416) 977-6555 x371
Email: [email protected]

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