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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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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.
Whitepaper
Solving the Generative AI Data Problem
Data scientist
Developer
Business user
Executive
April 15, 2024
Dealing with structured, numerical and timestamped data is a huge challenge for individual and businesses. AI models urgently need to rise above their limitations and analyse data to create profound, actionable insights. This article considers some of the challenges of current language models.
Whitepaper
The Case for Probabilistic vs Deterministic Forecasting and Planning
Data scientist
Developer
Business user
Executive
April 9, 2024
In today's fast-paced and unpredictable business landscape, traditional forecasting and planning methods fall short. Global disruptions, supply chain fluctuations, and ever-changing consumer preferences demand a more adaptive approach. That's where probabilistic forecasting shines.
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