The Data Dividend: Scaling and Accelerating Value Generation With AI 2023 - Sydney | The Economist Newspaper Limited | 15 November 2023 | TBA, Sydney, Australia

Data has become abundant and ubiquitous with the proliferation of smartphones and the emergence of smart, connected devices. More data is being generated each year than all the data produced since the advent of computers. What does this mean for the modern enterprise? How can this resource be owned, traded and tapped into to drive step-change improvements in growth and performance, particularly as the global economy experiences uncertainty? What lessons have organisations learned from having to adapt during the covid-19 pandemic, and how are these being applied to build resilience against new and unforeseen shocks?

The benefits of exploiting data assets are numerous, from enhanced innovation 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, the changing regulatory landscape, and foundational data issues around sprawl, quality and complexity. Without the right people, tools and strategies, organisations risk being unable to put their data to use in achieving their objectives and turning the promise of emerging technologies like artificial intelligence (AI) into reality.

Now in its second year, the data dividend series brings together pioneering leaders in government and industry to discuss how to establish the strategy, culture and skills needed to foster a data-driven enterprise and cultivate new ways of thinking and working for continued success. In 2023 we break new ground as we tour cities around the world once more and discuss how organisations can realise their data dividend.

Why attend?

Join the event programmed by Economist Impact and supported by IBM, as we bring together multiple sectors and business leaders from across the vibrant Midwest ecosystem to explore the following questions:

• What is top of mind for data and analytics leaders in 2023? What key challenges are they facing?
• How is the regulation of data and AI evolving, and how will it affect your industry and organisation to bring new opportunities and challenges?
• Can we trust decisions and recommendations made by AI? How can tech leaders mitigate risk, bias and harm?
• How are data and analytics leaders providing measurable value to the business?
• How can data and analytics leaders build relationships with internal stakeholders and business functions to promote data sharing, ownership and literacy?

2023 Sponsor

• IBM