Data is rapidly becoming vital in the global economy, likely to become an asset that most economic activity will depend on within a few years. This major revolution in data, analytics and AI is reshaping how organizations conduct people-intensive decision-making. Find out how you can overcome challenges that hamper projects and understand the necessary steps required to become a truly data-driven organization.
- What the adoption of analytical techniques and AI looks like in practice and the rate of adoption across the industry
- The crucial components of next generation Decision Intelligence capabilities and how this has been applied to a real case study
- Understand the steps required to make the most of AI-based decisioning
- How to adopt the correct flexible approach to fit your organization’s architecture
- The acceleration of Decision Intelligence adoption
We share our insights on how the industry is rapidly innovating in response to the new economic currency; data
- Use cases of intelligence capabilities and data sources
As the model is a crucial component of a decision intelligence capability, we show you how analytics and AI is embedded
- Best practice and the value of cloud-based approaches
Learn how using an intelligence system has enabled organizations to be successful in harnessing the value of data
- Why you should adopt Contextual Decision Intelligence
Find out how the contextual model can be integrated in real time to bridge the data-decision gap and offer continuous improvement for your organization.
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