Executives at the inaugural Business of Data Festival revealed how they’re embedding cultures of experimentation, establishing efficient analytics development processes and setting their sights on hyper personalization

How recommender systems can be leveraged to improve customer experience and product adoption (Netflix, Inbound Marketing (MTN4ME)) Improving product design and reducing GTM lead times (RPA & Predictive modelling) • Leveraging Social Data to spot trends and inform product design Guests:

Delivering business value is the sole focus for cutting-edge data analytics leaders. This can take many forms and is reliant on the business conditions - from a people, process and technology perspective - being ripe for transformation efforts. This episode

‘Garbage in, garbage out’ is a common trope in data analytics and it is no less relevant to AI. The quality of insights is only as strong as the quality of the data that drives them. In this episode, Ren

Data is the lifeblood of any organization looking to grow and scale. Organizations want to make more data readily accessible to drive innovation faster, while still maintaining consumer trust and respecting customer privacy, but they face significant challenges. Data scientists

Nowhere is the societal impact of AI and emerging technology clearer than in healthcare. In this episode we will deep dive into the digital transformation of the healthcare industry and explore the impact that one AI Lab is having on

The impact of Big Data, analytics and AI has reached almost every single industry across the globe and government is no different. In this episode, Alaa Moussawi will share how data is being used to better understand the lives of

In a world where over reporting and messy visualisations are rife, we sit down with Graeme McDermott to chat about what it takes to deliver the right analytics, at the right time. Guests: Graeme McDermott, Chief Data Officer, Tempcover

Data literacy is much discussed, but its practical application is often far less clear. How do you know if your business is ready for a data literacy program? How do you know if your data literacy program has been successful?