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Tag: Data science

Lyndsay Weir – Keeping quiet as a female leader
Article

Lyndsay Weir – Keeping quiet as a female leader

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.
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Assess biased algorithms with an ethical matrix
Article

Assess biased algorithms with an ethical matrix

Cathy O’Neil is the author of the seminal book Weapons of Math Destruction, a book detailing how algorithms can deliver and amplify negative outcomes to the most vulnerable people in society. In a presentation at Teradata Universe, she talked about the concept of an ethical matrix and how these could objectively assess the positive and negative impact of algorithms on their stakeholders.
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Teradata keeps sports entertainment company happy
Article

Teradata keeps sports entertainment company happy

Dustin Spangler of Larry H Miller Sports and Entertainment has a huge variety of data to deal with as sports teams, a cycle race and a cinema chain, to name a few, fall under his company’s umbrella. He tells Toni Sekinah the challenges that he and his team face when dealing with that variety of data and how they went about choosing a cloud platform.
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DataIQ Leaders briefing: Measuring the impact of data science
Article

DataIQ Leaders briefing: Measuring the impact of data science

Metrics are at the heart of a well-performing data science function and need to be clear to both practitioners and leaders. But they are also difficult to define and not every project can be easily measured. This white paper considers how to go about establishing effective metrics drawing on the experiences of DataIQ Leaders members.
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DataIQ Leaders briefing – Is the CDO still aiming for the board?
Article

DataIQ Leaders briefing – Is the CDO still aiming for the board?

Two years ago, it was predicted that nine out of ten organisations would have a board-level CDO by now. The reality is more like one in ten. But that is not just due to a slowdown in hiring - CDOs themselves may not want to reach the C-suite. Following a DataIQ Leaders dinner discussion, this briefing considers the reasons and also why CDOs really do not like CIOs.
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Seven health data hubs to be set up across the UK
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Seven health data hubs to be set up across the UK

Seven health data hubs are to be set up across the UK to speed up research for new medicines, treatments, and technologies that support quicker diagnoses and save lives. Toni Sekinah hears from Amanda White, of Health Data Research UK to find out more.
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DataIQ Leaders briefing – Are data engineers in the new skills demand hot spot?
Article

DataIQ Leaders briefing – Are data engineers in the new skills demand hot spot?

Data engineers are the new in-demand skilled workers as organisation seek to integrate multiple data sources or move to new data platforms. This whitepaper considers the challenges of recruiting in a limited talent field and what skills this role really requires, based on a recent DataIQ Leaders roundtable.
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Seven steps to implementing successful artificial intelligence projects
Report

Seven steps to implementing successful artificial intelligence projects

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.
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10 Enterprise Analytics Trends to Watch in 2019
Report

10 Enterprise Analytics Trends to Watch in 2019

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.
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DataIQ Leaders briefing – Managing expectations and priorities of the analytics function
Article

DataIQ Leaders briefing – Managing expectations and priorities of the analytics function

In the early stages of maturity, analytics functions tend to operate in a highly-reactive state with little in the way of prioritisation of those incoming tasks. This creates a false expectation among stakeholders and stops the analytics function from progressing up the maturity curve to become proactive. This briefing paper outlines some key steps to avoid this trap.
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