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Ikigai Resources

Learn more about Ikigai and the world of AI with our growing library of resources.
Video

Get to know Ikigai: Where data meets purpose

Most enterprise data is tabular and timestamped, which presents challenges that traditional AI solutions can’t address. Ikigai puts your data to work for you, not the other way around. Leveraging patented Large Graphical Models designed specifically for tabular and time series data, the Ikigai platform unlocks the full potential of your enterprise data, enhancing forecast effectiveness and business results.
Technical Whitepaper

Time Series Forecasting: Why, What, and How

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

Executive Insights: Unlocking value from time series data

Learn how to drive more effective decisions by unlocking the value of your time series data - across customers, orders, suppliers, operations, and manufacturing datasets. Surprisingly, your data is actually quite accessible, however traditional AI models aren't designed to deal with multivariate time series data. Ikigai's passion is to put purpose in data, harmonizing disparate data sources into a single source of truth so that it can be acted upon to drive value to your business. Ikigai's aiMatch, aiCast, and aiPlan AI models generate highly accurate forecasts and scenario plans that accelerate insights across every business process and every industry.
Video

Executive Roundtable: Bringing AI to the Enterprise

Hear from our panel of AI industry experts on topics including AI stragegy, governance, and education.
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Business 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.
Business 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.
Business 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.
Report
The Hidden Language of Numbers: How Large Graphical Models Unlock Business Outcomes from Tabular Data
Business user
Data scientist
Developer
Executive
IT
April 4, 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.
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