How to Transform Your Business Outcomes with Generative AI
Generative AI is unlocking new opportunities for enterprises to gain operational efficiency, new business insights, and drive competitive advantage. In fact, according to a recent survey by McKinsey, the vast majority of enterprises anticipate that generative AI will bring about significant or disruptive changes in their industry’s competitive landscape within the next three years.
Navigating the evolving AI landscape requires leaders to make informed, strategic decisions about where and how to employ generative AI in their business. In this eBook, we explore common generative AI models, compare and contrast Large Language Models (LLMs) with a novel new approach, Large Graphical Models (LGMs), and identify their suitability across a broad range of industry use cases.
You’ll learn:
- How to select the right generative AI approach for each business use case
- 9 critical steps for generative AI success
- Key challenges and benefits of enterprise time series data
- How to improve data reconciliation, forecasting, and planning with LGMs
- Ethical considerations to integrate throughout the AI lifecycle
Generative AI is not ‘one size fits all’ for your business use cases. Download this eBook to learn how to evaluate your desired business outcomes and select the right approach for your business. Our Getting Started framework will get you moving on your generative AI journey.
