The data dividend: delivering a data and AI strategy that drives business value
Smartphones and the internet have made data abundant and ubiquitous. More data is now being generated each year than all the data produced since the advent of computers. This resource can be owned, traded and tapped into to drive step-change improvements in growth and performance. The benefits of exploiting data assets are numerous, from more agile product development and optimised value chains to faster market penetration and more personalised customer relationships.
But while businesses are keen to tap into this potential, they struggle to keep pace with the flow of information. Most data is unstructured, making it difficult to store, manage and analyse. Without the right people, tools and strategies to address this, organisations face a lag in connecting and integrating their data from disparate locations to discover timely insights. To speed the process, data and analytics leaders are looking beyond traditional data-management practices to navigate the trade-offs between centralising data assets and processing them closer to where they are collected.
Why attend?
Join Economist Impact in Chicago for “The Data Dividend”, sponsored by IBM, as we discuss how data and analytics leaders can deliver a winning strategy that drives business value. With executives from Chicago and the Midwest, this unmissable high-energy event will discuss a series of questions including:
- How can organisations connect their data strategy to their business strategy? Why is this important?
- How are data-driven organisations using analytics and AI to anticipate and respond to disruptions and unexpected change?
- What is good and “trusted” data? How can organisations put trusted data to work for accurate, accountable and responsible AI?
- Which data architectures optimise data consumption to promote innovation and help companies build a competitive edge?
The day will conclude with a dynamic, high-energy audience discussion that will focus on the two motions below, allowing delegates to debate affirmative and opposing views. Moderated by Daniel Knowles, Midwest correspondent at The Economist, the discussion will be judged by our panel of speakers, who will declare a winning side based on the quality of evidence, style and performance of each side in the discussion.
- This house believes data is a public good.
- This house believes privacy is dead.
The data dividend – an event series
Data is considered the fuel of the digital era. As digitalisation accelerates resulting from a convergence of trends that are advancing the disruptive power of data, businesses are keen to leverage this resource to maximise their value chain. A data strategy that delivers value can open up new sources of competitive advantage, allowing business leaders to identify risks and opportunities and make smarter, better-informed decisions.
