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.
Join Economist Impact in New York City for “The Data Dividend”, sponsored by IBM, as we discuss how data can be better harnessed to fuel innovation and unlock the potential of artificial intelligence (AI). With business leaders and technology executives from New York and surrounding areas, this unmissable high-energy event will discuss a series of questions including:
What is good data and why is it a necessary foundation for trust? How can organisations put trusted data to work for accurate, accountable and responsible AI?
How can data be integrated, governed and harnessed to deepen customer relationships, demystify complex customer journeys, increase conversion and grow the lifetime value of customers?
Which data architectures are best suited to managing business demands and gaining a competitive edge?
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