Ikigai Resources

March 28, 2024

While LLMs are certainly at the forefront of generative AI news, enterprises are quickly finding that they are not the answer to fundamental business planning use cases which depend on enterprise-specific, tabular and time series data.

March 25, 2024

We share why Time Series Forecasting is an essential capability for every enterprise, what time series forecasting involves, and how it can be implemented.

March 25, 2024

March 11, 2024

Explainability is a key requirement, given the still-developing regulatory landscape, and AI companies have both a opportunity and an obligation to lead by example. In this Ikigai AI Ethics Council report, experts note that when explaining a prediction, companies need to think about not only what they’re trying to communicate, but also how and to whom. Feature analysis may be useful to the data analyst, but it is less helpful when explaining an AI-driven decision to users less numerically oriented.

February 28, 2024

Listen in to a captivating discussion led by industry thought leaders on transforming supply and demand dynamics for the 21st-century.

February 14, 2024

Hear from Devavrat Shah, Co-founder/CEO of Ikigai Labs and Professor of AI at MIT, as he discusses Large Graphical Models which are the foundation of the Ikigai AI platform. LGMs are purpose-built to unlock AI-powered insights from tabular and time series data, which is the type of data found throughout enterprise spreadsheets, databases, and business platforms. Leveraging the Ikigai platform, enterprises are able to generate dramatically more accurate data reconciliation, forecasting, and what-if scenario planning across any industry and business process, resulting in greater efficiency, lower costs, and higher customer satisfaction across the products and services that enterprises deliver.