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HIGHLIGHTS
JPMorgan’s AI at Scale JPMorgan Chase is investing $2 billion annually in AI, embedding over 600 use cases across trading, payments, and customer service. Dimon highlighted how AI and data have been elevated to report directly to the CEO, ensuring they are part of every strategic discussion rather than siloed in technology. He emphasized that “every job and process will be affected,” urging companies to adopt AI faster to avoid falling behind. Watch the talk.
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Consulting Gets an AI Co-Pilot McKinsey has rolled out Lilli, an AI platform that drafts reports and presentations, reducing reliance on junior analysts. Used monthly by 75% of consultants, Lilli helps automate routine tasks so teams can focus on higher-value work. Other firms like Bain and BCG are deploying similar tools to reshape consulting workflows. Full story.
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Startup Efficiency on Steroids Gumloop, a two-year-old AI startup, is on track for a $1 billion valuation with just 10 employees, thanks to its AI-powered workflow automation platform. By leveraging tools like code generation, the company raised $17 million and is generating several million in revenue. This lean approach illustrates how AI can dramatically reduce the need for large teams in scaling enterprise software. More.
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OTHER NEWS
- PE Firms Race to AI Value – A Harvard Business Review study shows that only 10% of private equity firms are seeing significant ROI on their AI investments so far. Learn more.
- US Air Force’s Pragmatic AI Strategy – The U.S. Air Force is embedding AI engineers in operational units to automate routine tasks like scheduling and logistics. See report.
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HIGHLIGHTS
Software 3.0 – A New Era of Programming Andrej Karpathy, renowned AI expert, calls AI the “biggest shift in software in 70 years” with the advent of Software 3.0. This new paradigm shifts away from traditional code (Software 1.0) and machine-learned models (Software 2.0), placing LLMs (large language models) as general-purpose engines that can be programmed via simple English prompts. As LLMs become the backbone of modern applications, Karpathy envisions a future of partial autonomy apps, where AI copilots assist with tasks, and non-programmers can create software with natural language. Watch the presentation.
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AlphaGenome Cracks the Code of Life DeepMind’s new AlphaGenome model is transforming genomics by analyzing DNA at an unprecedented scale, processing up to 1 million DNA base pairs and predicting over 5,000 genetic features. AlphaGenome outperforms previous models by accurately predicting the functional effects of genetic mutations, thus accelerating research in precision medicine and disease-related genetics. This breakthrough is expected to be a game-changer in biotech and medical research, offering a more comprehensive understanding of genetic changes and their implications. DeepMind announcement.
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No-Code Predictions with Foundation Models Kumo RFM (Relational Foundation Model) is revolutionizing data science by enabling no-code, instant predictions from relational data. Users can input multi-table data, ask simple questions like “Which customers are likely to churn?” and get accurate predictions in seconds. This zero-shot prediction system matches or exceeds the performance of traditional machine learning models, democratizing predictive capabilities and shifting the competitive advantage from technical expertise to data quality. Learn more.
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OTHER NEWS
- AI as Human Augmentation – Cognitive scientist Andy Clark argues that generative AI extends human thinking but requires new “meta-skills” to use effectively. Read more.
- LLMs in Plato’s Cave – Sergey Levine warns that LLMs only learn from human text, not reality, risking biased or superficial understanding. Learn more.
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HIGHLIGHTS
The Age of Intelligence Podcast Launches Theodoros Evgeniou co-hosts The Age of Intelligence, a new podcast exploring how AI is reshaping industries, organizations, and society. In the debut episode, former UK security advisor Tom Hurd discusses how tracking global AI talent can reveal emerging centers of innovation and strategic shifts in the tech landscape. The second episode features Jeff McMillan, Chief AI Officer at Morgan Stanley, sharing lessons on implementing AI at scale in complex environments and the evolving role of the Chief AI Officer. Listen now.
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Leadership in Academia and Industry Theodoros Evgeniou has been appointed Visiting Professor at MIT’s Center for Brains, Minds, and Machines, where he will contribute to the new field of “Science and Engineering of Intelligence.” This position strengthens NoeSysAI’s ties between cutting-edge academic research and practical AI solutions for business.
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