Ikigai Resources
Learn more about Ikigai and the world of AI with our growing library of resources.
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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.
Business user
October 17, 2024
Listen in to a captivating discussion led by industry thought leaders on transforming supply and demand dynamics for the 21st-century.
Business user
Data scientist
October 16, 2024
Time series forecasting is critical for businesses aiming to stay ahead of business fluctuations and external factors like weather or market shifts. This is true for demand and supply management, product planning, cash management or workforce optimization. This session will dive into best practices and innovative approaches for time series forecasting, followed by a demo showcasing how Ikigai’s probabilistic models and AI-driven insights enhance forecasting. We’ll end with an interactive Q&A.
Business user
Data scientist
IT
September 25, 2024
Read this whitepaper to learn how to use advanced time series forecasting techniques to deliver explainable forecasts that business stakeholders can understand, trust, and adopt.
Business user
Data scientist
Executive
September 16, 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
September 11, 2024
Listen to this Techstrong Learning roundtable with Eddy Farhat, Executive Director of e& Capital, and Kamal Ahluwalia, President of Ikigai Labs, as they discuss how to uncover insights from time series enterprise data, plan for uncertainty, and bridge the gap between business leaders and data science teams for improved AI adoption.
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