Matters
The way to Maximize the Enterprise Worth of Generative AI
The promise of generative AI is worth — larger income, streamlined efficiencies, and extra modern decision-making. Reaching this worth isn’t simple. Maximizing it’s even more durable. This MIT SMR Executive Guide affords skilled insights into the methods wanted to get probably the most out of GenAI.
More in this series
Neil Webb
There’s no query that deciding find out how to reap actual worth from generative AI is among the many largest challenges dealing with enterprise and expertise leaders at the moment.
Our new Executive Guide collection, “The way to Maximize the Enterprise Worth of Generative AI,” offers skilled insights designed to assist these leaders determine the very best approaches to utilizing generative AI, set up efficient governance, and precisely measure the outcomes.
The collection, which begins on Jan. 13, additionally consists of examples from organizations in lots of industries which might be already seeing important enterprise worth from their AI investments, together with sensible takeaways and steps for turning insights into motion.
Signal as much as be notified when new Executive Guide articles are revealed. In the meantime, the next summaries present a preview of what’s coming and when.
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Turbocharging Organizational Studying With GenAI
Paul Baier and John J. Sviokla
Generative AI can radically improve organizational studying through the use of human language to facilitate interplay and deftly dealing with unstructured phrases, photos, numbers, and sounds. The authors describe how managers and workers can work in tandem with GenAI to develop and share experience. Accessible Jan. 13.
What Leaders Ought to Know About Measuring AI Challenge Worth
Eric Siegel
Most AI/machine studying initiatives report solely on technical metrics that don’t inform leaders how a lot enterprise worth may very well be delivered. To forestall mission failures, press for enterprise metrics as a substitute. Accessible Jan. 15
Reinventing the Group for GenAI and LLMs
Ethan Mollick
Earlier waves of expertise have ushered in improvements which have strengthened conventional organizational buildings. That has not been the case for generative AI and enormous language fashions. Study three key ideas for reorganizing work round AI. Accessible Jan. 21.
Generate Worth From Gen AI With ‘Small t’ Transformations
Melissa Webster and George Westerman
GenAI might not but be able to large-scale transformation, however firms are getting actual enterprise worth at the moment by concentrating on three classes of duties that contain various levels of threat. Analysis carried out with 21 massive firms reveals the place and find out how to generate this worth whereas constructing for the longer term. Accessible Jan. 22.
Mayo Clinic’s Wholesome Mannequin for AI Success
Thomas H. Davenport and Randy Bean
This case examine affords an in depth have a look at how one group’s method to knowledge and infrastructure helps its individuals construct AI purposes effectively and safely. A key to its success: Workers members see the info and AI crew as an enabler slightly than a gatekeeper. Accessible Jan. 27.
Do You Actually Want a Chief AI Officer?
Michael Wade, Anja Lagodny, Ann-Christin Andersen, Corinne Avelines, and Achim Plueckebaum
The CAIO position, which is meant to drive a cohesive method to implementing AI throughout a company, comes with compelling arguments each for and in opposition to its creation. The proper alternative will depend on the strategic significance and maturity of AI in your organization. Accessible Jan. 29.