When companies focus on practical, user-centered implementation, AI can stop being an experiment and start having a real impact.
For most businesses measuring the concrete benefits of the estimated $2.5 trillion that will be spent on AI this year is ...
A new study from MIT's NANDA initiative has found that 95% of generative AI pilots fail to deliver measurable ROI for companies – a failure rate rooted not in flawed models but in poor integration and ...
Artificial intelligence is powerful, but are businesses using it the wrong way? In this episode of Today in Tech, host Keith Shaw sits down with Alan Trefler, Founder and CEO of Pega, to discuss why ...
YouTuber Bilawal Sidhu interviewed Jack Parker-Holder and Diego Rivas from the team behind Project Genie at Google DeepMind, and noted in some live examples how there were occasional bugs from time to ...
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MIT explains why most AI projects are failing
Executives have poured billions into artificial intelligence, only to discover that most of those projects never make it past the pilot stage or fail to deliver meaningful returns. A recent wave of ...
Despite optimism about AI’s potential and near-universal AI experimentation, Smartsheet research reveals a critical shortfall in trust, unified tools and consistent usage, underscoring the need for ...
A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.
AI is only as reliable as the context it can see. MCP unlocks project-aware AI by connecting AI tools directly to ...
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Top generative AI projects for students to build a high-paying IT career in 2026
Discover top generative AI project ideas for college students to build real-world skills, strengthen your resume, and boost ...
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