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Ikigai Resources

Learn more about Ikigai and the world of AI with our growing library of resources.
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Ebook
Reconciling Disparate Data Sources with aiMatch and eXpert-in-the-Loop
Executive
Business user
Data scientist
July 24, 2024
In this eBook, we explore how Ikigai utilizes their patented generative AI approach, the Large Graphical Model, to solve the critical business problem of data reconciliation. You'll learn how aiMatch and eXpert-in-the-Loop work by walking through a step-by-step example of Ikigai at work.
Technical Whitepaper
Time2Vec: Enabling Forecasting with Limited Historical Data
Data scientist
Developer
Executive
July 24, 2024
Time series data is the backbone of forecasting, from predicting sales, consumption, cash, people's journeys through an organization, the movement of financial instruments and more. This sequential, time-stamped information is crucial for understanding the patterns within data that drive business decisions including trends, seasonality, and patterns. In this whitepaper, we'll explore how enterprises can address some of the challenges inherent in time series data, such as data noise and scarcity, to unlock the value of this vital data for decision-making.
Report
AI Ethics Council Report: Developing and implementing time series forecasting functionalities responsibly
Business user
Executive
IT
July 8, 2024
Traditional and machine learning methods of forecasting and planning can fall short in today's dynamic - and often uncertain - business landscape. Large Graphic Models (LGMs) address the complexities inherent in tabular and time series data, enabling more accurate analysis and decision making in complex and volatile business environments.
Whitepaper
Embracing Uncertainty: How Probabilistic Forecasting Transforms Financial Strategies
Data scientist
Business user
Executive
IT
Developer
June 20, 2024
In today’s unstable business climate, traditional approaches have failed to keep pace with the rapid variability and change impacting financial services organizations.
This whitepaper dives into the benefits of probabilistic forecasting for use cases like fraud detection, risk management, and portfolio optimization.
Video
The Hidden Value of Numbers: Generative AI for Tabular and Time Series Data
Executive
Business user
Data scientist
June 12, 2024
Tune into this insightful interview from the Six Five Summit: AI Unleashed. Ikigai Lab's CEO and Co-Founder, Dr. Devavrat Shah, joins Daniel Newman, Founder and CEO of The Futurum Group for an informative conversation about how enterprises can harness the value of their time series data for use cases such as demand forecasting, fraud detection, scenario planning, portfolio optimization, and more.
Ebook
Unlocking the Power of aiPlan: Evaluating Tradeoff for Optimal Business Results
Data scientist
Developer
Business user
Executive
April 27, 2024
In an increasingly complex and dynamic business environment, AI-powered scenario planning offers a more structured and strategic approach to understanding and managing uncertainty, allowing organizations to identify potential risks and opportunities, assess their impact on key drivers, and develop data-driven strategies to meet business goals.
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