# tabular data

Published articles for tabular data.

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## Devavrat Shah's research and Ikigai Labs use tabular data for real-time forecasting and decision-making

DevFeed: [Devavrat Shah's research and Ikigai Labs use tabular data for real-time forecasting and decision-making](<https://devfeed.tech/articles/helping-ai-models-to-meet-the-real-world-37954.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/helping-ai-models-meet-real-world-0714>)

Author: David Chandler | Laboratory for Information and Decision Systems

Published: 2026-07-14T20:25:00Z

Content type: article

Language: en

Sources: [MIT AI News](<https://devfeed.tech/sources/mit-ai-news.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [decision-making](<https://devfeed.tech/topics/decision-making.md>), [Structured-data](<https://devfeed.tech/topics/structured-data.md>), [AI Models](<https://devfeed.tech/topics/ai-models.md>), [data](<https://devfeed.tech/topics/data.md>), [Time Series](<https://devfeed.tech/topics/time-series.md>), [Computer science](<https://devfeed.tech/topics/computer-science.md>), [Electrical engineering and computer science (EECS)](<https://devfeed.tech/topics/electrical-engineering-and-computer-science-eecs.md>), [Temporal data](<https://devfeed.tech/topics/temporal-data.md>), [systems](<https://devfeed.tech/topics/systems.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-and-decision-making](<https://devfeed.tech/tags/ai-and-decision-making.md>), [ai-in-business-planning](<https://devfeed.tech/tags/ai-in-business-planning.md>), [ai-models](<https://devfeed.tech/tags/ai-models.md>), [algorithms](<https://devfeed.tech/tags/algorithms.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [business-and-management](<https://devfeed.tech/tags/business-and-management.md>), [business-modeling](<https://devfeed.tech/tags/business-modeling.md>), [celonis-context-model](<https://devfeed.tech/tags/celonis-context-model.md>), [computer-science-and-technology](<https://devfeed.tech/tags/computer-science-and-technology.md>), [data](<https://devfeed.tech/tags/data.md>), [data-systems](<https://devfeed.tech/tags/data-systems.md>), [decision-making](<https://devfeed.tech/tags/decision-making.md>), [devavrat-shah](<https://devfeed.tech/tags/devavrat-shah.md>), [electrical-engineering-and-computer-science-eecs](<https://devfeed.tech/tags/electrical-engineering-and-computer-science-eecs.md>), [faculty](<https://devfeed.tech/tags/faculty.md>), [forecasting](<https://devfeed.tech/tags/forecasting.md>), [idss](<https://devfeed.tech/tags/idss.md>), [ikigailabs](<https://devfeed.tech/tags/ikigailabs.md>), [laboratory-for-information-and-decision-systems-lids](<https://devfeed.tech/tags/laboratory-for-information-and-decision-systems-lids.md>), [mit-eecs](<https://devfeed.tech/tags/mit-eecs.md>), [mit-idss](<https://devfeed.tech/tags/mit-idss.md>), [mit-intellectual-property](<https://devfeed.tech/tags/mit-intellectual-property.md>), [mit-lids](<https://devfeed.tech/tags/mit-lids.md>), [mit-schwarzman-college-of-computing](<https://devfeed.tech/tags/mit-schwarzman-college-of-computing.md>), [predictions](<https://devfeed.tech/tags/predictions.md>), [profile](<https://devfeed.tech/tags/profile.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [research](<https://devfeed.tech/tags/research.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [startups](<https://devfeed.tech/tags/startups.md>), [structured](<https://devfeed.tech/tags/structured.md>), [tabular-data](<https://devfeed.tech/tags/tabular-data.md>), [time-series-data](<https://devfeed.tech/tags/time-series-data.md>)

### AI overview

MIT Professor Devavrat Shah's research led to a foundation model for tabular and time-series enterprise data. Developed with Ikigai Labs, the system continuously tests predictions against real outcomes to support large-scale forecasting and decision-making.

### Source excerpt

Through research and entrepreneurship, Professor Devavrat Shah is helping to design methods that can handle constant decision-making using limited computational resources.