HOW TO GET MORE VALUE OUT OF DATA: THE CRASH-COURSE

Nimbus Ninety’s Digital Trends Report 2021 revealed that the number one digital initiative for business leaders in the next 6 months was to get more value out of their data. But reaching data nirvana is no mean feat: the pressure is on for digital leaders to modernise their infrastructure in order to build the foundations for AI-driven insights that can supercharge innovation. 

In this series, we brought our members' most pressing challenges to our experts and heard our panel bust the biggest myths around modernisation, data maturity and AI-driven analytics. We dissected common problem statements for each part of the maturity journey with our expert panels, as well as hearing industry success stories and how they got there. 

The global pandemic has accelerated swathes of digital transformation projects, but many organisations are still entangled in tech modernisation. Our first episode delves into the biggest problem statements that organisations come up against throughout their cloud migration journey, and how to tackle them while maintaining business as usual.

With a scene-setter from Nimbus Ninety on where industries are with getting the most out of their data.

In conversation with:

Mohit Joshi
Head of Data Science and Engineering, Collinson Group

Anthony Smith
Senior Director Enterprise Architecture, Jones Lang LaSalle

James Allerton Austin
Senior Director, Cloud Strategy, Oracle EMEA

One of the major barriers to getting value out of data is that many organisations don’t actually know the value of their data. It sits in pockets around the enterprise, inaccessible but with stacks of potential. This episode explored how to unlock value from your hidden data in order to drive benefits across the value chain and cultivate a culture of innovation.

In conversation with:

Andy Isaacs
Head of Data & Analytics, UKTV 

Nick King
Market Research and Insight Director, Auto Trader Limited

Michael Connaughton
Head of Analytics & Data Innovation, Oracle EMEA

An organisation’s ability to leverage AI-powered data analytics can really fly once it is in the cloud. We’ll be hearing from a business that has utilised AI and machine learning to supercharge their data insights and reduce operational inefficiencies so that they can get back to the seriously value-adding stuff: innovation.

In conversation with: 

Christos Varsakelis
AI Lead, Johnson & Johnson

Natasha Gray
VP Global Head of Data & Analytics, ViiV Healthcare

Jon Roughley
Head of Data Exchange, Experian

Michael Connaughton
Head of Analytics & Data Innovation, Oracle EMEA

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