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New technology has transformed business intelligence (BI), helping businesses to use it to identify, develop and create new business opportunities

One in four enterprises have made the jump to prescriptive analytics, while 71% are using AI to generate new revenue streams

Six of the world’s leading female data-focused executives share their experiences of developing processes to ensure ethical and responsible AI use in their organizations

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

From AI created Logos to automated humans within advertising, the potential of AI is enormous for WPP. Join us as we dive into this fascinating area! Guests: Di Mayze, Global Head of Data & AI, WPP

Dr. Tendu Yogurtcu, Chief Technology Officer for Precisely, joins us in this session to discuss trends impacting enterprise IT and data science teams who are driving data-driven initiatives for their organizations. We’ll focus specifically on how teams are overcoming data

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