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Dr. Devavrat Shah, Co-Founder & CEO of Ikigai Labs – Interview Series
- Dr. Devavrat Shah is the Co-founder and CEO of Ikigai Labs and is a professor and a director of Statistics and Data Science Center at MIT.
- Ikigai Labs provides an AI-powered platform designed to transform enterprise tabular and time series data into predictive and actionable insights.
- The platform utilizes patented Large Graphical Models, enabling business users and developers across various industries to enhance their planning and decision-making processes.
- Large Graphical Models (LGMs) are probabilistic view of data, identify the appropriate 'functional patterns' from a large 'universe' of such patterns given the snippet of data, suited for modeling structured data and require less data than Large Language Models (LLMs) and therefore have lower compute and storage requirements.
- LGMs enables good predictions with minimal and flawed data and will have a huge impact on businesses looking to employ AI, and offer a simple low code/no code experience for business users.
- Ikigai integrates LGMs with a human-centric approach through the eXpert-in-the-loop feature, enhancing the accuracy and adoption of AI models in enterprises.
- The core LGM technology is the biggest differentiator of Ikigai’s platform, and LGMs provide the closest thing to a crystal ball possible for making the best decisions.
- Ikigai aims to enable full featured Reinforcement Learning for operations teams in both the short and long term.
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