Ikigai Resources
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Data scientist
IT
Executive
March 29, 2024
There’s value for LLMs in just about every organization. However, they are limited in their ability to connect disparate enterprise data sources and generate accurate forecasts and scenario-based plans. Ikigai Labs identified that gap and introduced a new generative AI technology designed for predicting business outcomes leveraging tabular and time series data: Large Graphical Models (LGMs).
Business user
Data scientist
Developer
Executive
IT
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.
Data scientist
Developer
IT
Business user
Executive
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.
Data scientist
Developer
IT
Business user
Executive
March 25, 2024
Business user
Executive
IT
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.
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