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SpreadsheetLLM may yet decipher, democratize spreadsheets for rest of us
Microsoft researchers have cooked up SpreadsheetLLM, a method that encodes and optimizes large language models (LLMs) so they can understand spreadsheets.
GenAI’s prioritization phase: Enterprises wading through thousands of use cases
Enterprises have thousands of use cases for generative AI and are now working through prioritizing them and ultimately moving to production. At AWS Summit 2024 in New York, a panel of partners and integrators talked about Amazon Q early adoption and genAI use cases with a focus on pilots to production.
Monday's Musings: How To Deliver On Both Performance And Diversity Amidst The DEI Backlash
The recent backlash on diversity, equity, and inclusion (DEI) programs stems from both the lack of quantitative data showing how diverse teams improve performance and the discriminatory nature in how these teams were constructed. In 2015, a McKinsey study lauded the dividends to be gained from diversity. The well meaning Davos set used this study to launch a movement for diversity, resulting in hundreds of billions spent on diversity programs across businesses, the public sector, and non-profits over the past decade.
GenAI, orginality and scaling lookalikes
Generative AI appears to be scaling lookalikes at a rapid clip and the big unknown is how long originality will last.
Education tech in turmoil amid genAI: Why consolidation is next
The education technology market has been rattled by generative AI, cautious enterprise and institutional spending and a set of overlapping companies with similar annual revenue profiles.
Anthropic adds more collaboration features to Claude for Pro, Team customers
Anthropic's move to couple its Claude LLM with collaboration features is a smart one that can win out with businesses over time.
News Analysis: Only A Few Companies Will Win In Fueling The Age of AI
AI Begins And Ends With Nvidia
Despite the massive buzz on AI, only a few core companies that power the Age of AI will succeed. The high capital costs of research and development investment, the time required to take a product to market, and the ability to cross competitive moats create a massive barrier to entry. In fact, only a few vendors have shown significant profits in AI:
Monday's Musings: Progress Through The Five A's of AI
Take A Measured Approach To AI Adoption
The rush to AI projects often comes as an all or nothing approach. However, lessons learned from Constellation's Executive Network (CEN) members show a gradual and measured approach. Constellation sees five phases to adoption from both a business and cultural point of view:
