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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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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.
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.
Ebook
Large Graphical Models: A Crystal Ball into your Business’ Future
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).
Ebook
How to Transform Your Business Outcomes with Generative AI
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.
Technical Whitepaper
Time Series Forecasting: Why, What, and How
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.
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