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AI in Formula E: Winning on the racetrack – and against climate change

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Formula E is defined by cutting-edge technology and fine margins. All participating vehicles are built on the same chassis and powered by the same battery. Uniformity of hardware means that teams rely on data and insight to gain strategic advantages. The Envision Virgin Racing Team has partnered with professional services firm Genpact to maximise its drivers’ chances on the track.

Next slide please: How Covid made data literacy a public skill

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A lack of knowledge can cost lives during a crisis. As the virus spread Government departments and public bodies had to quickly learn how to present data to the public – placing a renewed focus on data literacy. Data practitioners are hopeful that this focus will continue long after the pandemic passes into the rear view mirror.

How analysts are changing football

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Data has played a role in football for decades, but in recent years its use has expanded rapidly. Football’s data analysts are working out how to encourage innovation within a world that remains built on tradition, ego and rivalry.

NHS England’s Ming Tang named most influential person in data in 2021

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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.

3 ways DataOps can deliver business value this year

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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.

Guide Dogs for the Blind: Side-by-side with digital and data

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Guide Dogs for the Blind recently went through a wide-reaching digital transformation, building its data and digital capabilities to support to those living with visual impairment better. CIO Gerard McGovern and Caroline Carruthers, CEO of Carruthers and Jackson and lead data consultant on the project, spoke to DataIQ about the goals and opportunities for the programme.

Bloomberg’s best practice for data annotation

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Bloomberg processes hundreds of billions of pieces of data from the global capital markets every day. To make it available for automated analytics, it first needs to be annotated. The experience it has built up from doing this has been pulled into a best practice guide to help other machine learning projects. Legal analyst Tina Tseng talked to DataIQ about this critical step in preparing structured and unstructured data.

Start here: Now implement your data strategy

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Getting your data strategy signed-off by the organisation is a great moment. But it is not the end of the task – it is actually where the work really begins. Lisa Allen of DAMA (UK) identifies the critical steps you need to take next.

Mutual Friends: Aligning business strategy and data strategy

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Pursuing a digital transformation or becoming a data-driven business ought to mean placing the data strategy at the heart of the business strategy. That doesn’t always happen, which is why Nigel Turner suggests some ways to make sure business and data become better friends.

4 steps that establish a data-driven company culture

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It’s more important than ever for companies to be able to make decisions based on data. But creating a data-driven culture isn’t simple. Zara Hawkins, data culture evangelist, Looker offers four suggestions for what to do to get it started.

Four principles to balance personalisation and data protection

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Talk of contact tracing apps to tackle COVID-19 serves to highlight the difficult balance between using data to personalise services and robust data protection. Whether your organisation is involved in building these solutions or not, Craig Suckling of IAG Loyalty suggests there are four principles to keep you on the right side of your customers.