Ikigai Resources
Learn more about Ikigai and the world of AI with our growing library of resources.
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Report
Demystifying Time Series Forecasting for the Enterprise: Unlocking Business Value with Large Graphical Models
Business user
Data scientist
Developer
Executive
IT
December 11, 2024
In this O'Reilly report, we explore what time series data is and how it can be used to drive powerful, data-informed decision-making in modern enterprises. Then we’ll look at the challenges of time series forecasting and the different time series forecasting models. Finally, we’ll show you what’s required for effective time series forecasting, and how Large Graphical Models provide a new and improved way of doing time series forecasting.
Business user
Data scientist
December 4, 2024
In today’s fast-moving environment, effective business planning requires analyzing trade-offs and adjusting strategies in real time. In this session, we’ll explore how AI-driven scenario forecasting helps optimize business decisions, balance objectives, and improve resilience. We’ll demo Ikigai’s scenario planning tools and discuss how to apply these concepts to your business in the Q&A session.
Business user
Executive
November 14, 2024
Forecasting is a critical component of strategic business planning, yet decision-makers and expert systems often struggle to model the uncertainty and complexity in their operations and markets. Read this eBook to learn how Ikigai's aiCast AI forecasting solution manages the evaluation, processing, and application of forecasting models purpose-built for time stamped and tabular enterprise data.
Business user
Executive
Data scientist
November 14, 2024
Forecasting is a critical component of strategic business planning, yet decision-makers and expert systems often struggle to model the uncertainty and complexity in their operations and markets. Read this eBook to learn how Ikigai's aiCast AI forecasting solution manages the evaluation, processing, and application of forecasting models purpose-built for time stamped and tabular enterprise data.
Business user
Data scientist
November 13, 2024
Time series forecasting is about more than just historical patterns. Incorporating external data sources and AI-driven techniques like anomaly detection can significantly enhance forecasting accuracy. In this interactive session, we explore how advanced methods improve forecast precision, with a demo from Ikigai to showcase how these techniques are automated.
Business user
Data scientist
October 31, 2024
Not all AI models are created equal—understanding which model best fits your data is key to success. In this session, we’ll explore the differences between LLMs, Large Graphical Models (LGM), and when to use each for structured data tasks like forecasting, model complex environments and conduct scenario analysis. We’ll demonstrate how Ikigai fits into these requirements, followed by a discussion on applying the right model to your business challenges.
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