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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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Guide
Operationalizing AI: A Collaborative Guide for Data Scientists and Business Leaders
Business user
Data scientist
Executive
August 19, 2024
Businesses face complex decisions daily regarding sourcing, production, inventory, staffing, sales, and budgeting for their products and services. These decisions rely heavily on forecasting and planning work that must incorporate not only historical data but also expert insights and emerging trends. This framework helps business leaders and data scientists collaborate together for more successful AI deployments.
Infographic
How Prepared is your Business for AI Transformation?
Business user
Executive
Data scientist
August 19, 2024
An AI collaboration checklist for business leaders and operational data scientists
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.
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