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.
In this edition, Cathy Pendleton, senior data governance manager at Compare the Market, talks to DataIQ about how to make the protection of data an enabler of new business processes and why this is proving to be an attractive new career option in the industry. Plus diversity at Hastings Direct and KPMG.
Leyre Murillo-Villar is chief data officer and data control lead at BNP Paribas. She is also a member of the Women in Data 20 in Data and Tech list. She told DataIQ about the need to close the gender gap and how data is at the heart of managing risk.
The problem with stereotypes is that they linger. There isn’t an informed individual on the planet who would argue that STEM industries (science, technology, engineering and maths) ought to be male-dominated, and yet, these sectors remain imbalanced towards male representation. This is partly down to the aforementioned stereotype that these sectors ought to be “man’s work”.
Lyndsay Weir is global data and analytics manager at Nestlé. At the Women in Data conference in November, she was named as one of the new list of female industry role models, the 20 in Data and Tech. She told DataIQ how being a female leader and role model can be done in a quiet way.