Bridging AI Models with the Real World
MIT researcher Devavrat Shah is transforming decision-making processes in business.
1AI and the Business World
In recent years, systems using artificial intelligence to enhance forecasting, planning, and decision-making in businesses have proliferated. However, these systems often lack detailed, organization-specific information, limiting their effectiveness.
2Devavrat Shah's Work
Devavrat Shah, a researcher at MIT's Laboratory for Information and Decision Systems, focuses on designing methods that enable second-by-second decision-making using limited computational resources. Shah aims to extract scalable information from data as effectively as possible.
3Ikigai Labs and Tabular Data
In 2019, Shah co-founded Ikigai Labs, which developed a foundation model for tabular and time series data. This model processes enterprise data from various sources continuously, enabling real-time planning and learning from predictions against real outcomes.
4Real-World Applications
Ikigai's model provides forecasting and decision-making technology for large businesses, such as consumer electronics and pharmaceutical companies. For example, an electronics company can predict how changing a product's price will affect demand.
5Acquisition by Celonis
Ikigai was acquired by the international firm Celonis, where Shah now serves as chief scientist. Celonis specializes in digitizing and automating operations for over 1,400 large companies worldwide.
6Future Goals
Shah hopes that the model developed by Ikigai will enable companies to integrate their own data and business processes, providing real-world analyses that lead to better decision-making. This could be a significant step in optimizing business operations.
Original article: MIT News — AI — AI Modellerinin Gerçek Dünyayla Buluşması