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The next AI race is about execution, not access

Access to AI is now widespread. Most companies can buy the same tools, test the same models and make similar claims about adoption.

The real divide is opening up somewhere else: in the ability to put AI to work across the business. The companies that pull ahead will be the ones that use AI to improve operations, refine products, speed decision-making and improve customer experience.

Access got the conversation started. Execution will decide who benefits.

Execution turns AI into business value

Putting AI in place is now the easier part. The harder challenge is turning it into measurable business value. AI creates lasting value when it becomes part of how the business operates, not another technology layered onto existing workflows.

Many organizations have proved they can launch pilots. Far fewer have proved they can redesign workflows, change decision-making and sustain results over time. Doing that requires clear business objectives and...

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What Hollywood thinks about existential AI warnings

As the tech sector sounds alarms about AI’s potential to destroy humanity, entertainment labor groups are urging the public to stay focused on what’s already happening. The Verge reached out to Disney, Netflix, Amazon, Lionsgate, and other studios who have started using AI, as well film startups focused

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Manus seeks $4B valuation in new $500M fundraise as it resumes independent ops

Chinese AI startup Manus, which earlier this year had to break off a merger with Meta, is in discussions to raise $500 million at a $4 billion valuation now that it has resumed operations as an independent company, The Wall Street Journal reported, citing anonymous sources. Potential investors in the

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A new chapter for MIT Reads

As it marks its 10-year anniversary, MIT Reads is being reimagined for the age of artificial intelligence. Recognizing the need to foster social connection and a sense of our shared humanity, the popular MIT Libraries’ program will turn its focus to fiction and memoir, and to the particular power of

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Native BM25 search in AlloyDB and Cloud SQL

Vector search is a critical component of generative AI, retrieval-augmented generation (RAG), and data agent architectures, but sometimes vector search alone isn't enough. While vector embeddings are incredible at understanding conceptual meaning, they stumble on specific alphanumeric IDs and exact product SKU numbers. To build truly robust search

Execution turns AI into business value

Read more

What Hollywood thinks about existential AI warnings

Manus seeks $4B valuation in new $500M fundraise as it resumes independent ops

A new chapter for MIT Reads

Native BM25 search in AlloyDB and Cloud SQL