Without a comprehensive, enterprise-wide data strategy, organizations aren’t in a position to reap the competitive benefits of AI adoption. So how can you design a forward-looking data strategy?

Before exploring its role in powering the effective use of gen AI tools, it is critical to understand what a “data strategy” entails in a corporate legal setting. In general, a data strategy ...

Is your data strategy aligned to deliver those results? Organizations are seeking sophisticated analytical techniques and tools to gain more profound insights into how they can capitalize on the ...

The key is that a trading strategy be set using objective data and analysis and is adhered to diligently. At the same time, a trading strategy should be periodically re-evaluated and tweaked as ...

Access to sufficient, reliable, and timely data will be a key determinant of success for enterprises over the coming years as AI transforms business workflows. As enterprises become more data ...

How to create a data integration strategy for your organization Your email has been sent Despite the global digital acceleration of data use cases, many companies still struggle to be data-driven.

Rob provides that vision for Intel. It makes me think more broadly about data strategy and how, given the massive change in our ability to process data, it will impact enterprise IT. It was not ...

This part of your strategy needs to be more than a simple focus group or analyzing one set of data from a test. The most effective way to ask for feedback might involve conducting a survey ...

The purpose of our data strategy and data management related posts is to share our learnings and insights with others interested in the topic. Data strategy – what is it and is it worth the time? In ...

However, they frequently fail to consider a key component needed for success: a robust data strategy. Before exploring its role in powering the effective use of gen AI tools, it is critical to ...