The Hidden Work (and Sweat) Powering AI Productivity
Summary
Newsweek’s newsletter examines how companies can turn AI and digital technology into lasting business results. It highlights Atlassian research on AI’s hidden workload and examples from travel, manufacturing, insurance and drug safety that show the importance of reliable data, careful implementation and human oversight.Key Facts
- S&P Global executives are scheduled to discuss enterprise AI in a Newsweek webinar on Nov. 4.
- The newsletter identifies trusted, well-maintained data as a possible source of advantage as more companies gain access to similar AI models.
- Travelport is working with Cognizant and Anthropic to modernize and test software for bookings, refunds and travel disruptions.
- Toyota Motor North America says its broader digital transformation has returned $3 for every $1 invested over roughly five or six years.
- Toyota uses machine learning for demand forecasting and supply-chain planning.
- Talcott Financial Group connected 12 technology systems to launch three annuity products in about one year.
- A GSK and Cognizant discussion considers automating drug-safety work while keeping qualified professionals responsible for regulated decisions.
- The article says Atlassian research found that AI can save product teams time while also creating work to check agents, reprompt chats and clean up generated results.
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