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# Helping AI models to meet the real world

**[MIT News](https://daily.dev/sources/mit)** · 5 min read · 0 upvotes · 0 comments

## Summary

MIT Professor Devavrat Shah has focused his research on AI methods for real-time decision-making using limited computational resources, particularly for structured tabular and time-series data. He co-founded Ikigai Labs, which built a foundation model for enterprise tabular data that learns continuously by testing predictions against real outcomes. The model draws on graphical model techniques to handle complex, interdependent business processes like demand forecasting, pricing, and supply chain planning. Ikigai was recently acquired by Celonis, where Shah now serves as chief scientist, with the goal of layering Ikigai's decision-making stack on top of Celonis's digitized enterprise process data for over 1,400 large companies worldwide.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://news.mit.edu/2026/helping-ai-models-meet-real-world-0714>

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Tags: [#ai](https://daily.dev/tags/ai), [#machine-learning](https://daily.dev/tags/machine-learning), [#data-science](https://daily.dev/tags/data-science)

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