Industry data leaders from NHS Digital, Samsung Europe, Schneider Electric, TUI Group and Zurich will be presenting at the DataIQ Transform event taking place on Wednesday, November 13, 2019. We sat down with some of these industry leaders to learn more about their perspectives on the evolving data and analytics landscape.
Utilising data and AI at a business level to drive the overall value of the customer is very different from using it at the tactical level to optimise a channel or clicks and warrants considerable upfront planning. In this paper, we explore the steps that organisations need to take to implement AI into their organisation to ensure the greatest chance of success.
How will enterprises evolve over the next year to manage and make the most of this unprecedented growth? Download 10 Enterprise Analytics Trends to Watch in 2019 to learn how leading organisations will win with embedded and augmented analytics, Hyper-intelligence, collaboration, enterprise AI strategies, and more.
Operationalisation and self-service analytics are critical pieces to the transformation of a data-powered enterprise, including the movement toward AI. However, that doesn’t mean that the two systems in and of themselves are a final destination.
Do you want your business to understand data? Or do you want it to think smarter, using data to enable better questions and more effective decisions? That’s the difference between just focusing on data literacy and looking to embed a true data culture, argues David Reed.
DataIQ has chosen Ming Tang, managing director of data and analytics at NHS England, as the most influential person in data and analytics in the 2021 edition of the DataIQ 100. In partnership with Tableau, it is the first and only fully-curated power list of the data industry’s key figures.
DataOps can help deliver insights faster, with higher quality and resilience in the face of constant change. But there is a lot of confusion about what DataOps really means. Ted Friedman of Gartner outlines three value propositions that make sense of this approach.
The outsized role data science played last year has positioned the industry to thrive in 2021. Profusion’s Natalie Cramp considers some big changes over the next 12 months that will dictate how data science is used by organisations over the next decade.