Deep Lidder is Data Governance Delivery Lead at Cervello, a Data and Digital Consultancy. He has worked with organisations across industries and internationally to successfully deliver Data Governance programs that focus on people and business value. Deep has worked closely with data throughout his career. He studied Physics and Maths at Cambridge and Harvard, before joining the Finance and Risk practice at Oliver Wyman. He enjoys improv, sketch comedy and teaching high-school Physics. He lives in London, UK.

Jesse Anderson is a Data Engineer, Creative Engineer, and Managing Director of Big Data Institute. He mentors companies all over the world ranging from startups to Fortune 100 companies on Big Data. This includes projects using cutting-edge technologies like Apache Kafka, Apache Hadoop, and Apache Spark. He is widely regarded as an expert in the field and for his novel teaching practices. Jesse is published on Apress, O’Reilly, and Pragmatic Programmers. He has been covered in prestigious publications such as The Wall Street Journal, Harvard Business Review, CNN, BBC, NPR, Engadget, and Wired.

Tim Hatton has been working in digital since before it was called digital. Over the course of his career he has worked on data and digital transformation projects for some of the biggest companies in the world. He joined AND Digital in 2016 and heads the Data & Insight practice in AND’s Consulting division. This growing team delivers data strategy projects for household name clients in industries including finance, travel, publishing and retail as well as for a number of government departments.

Physicist and PhD from Imperial College, former Founders Factory (FF), Chief AI Officer at AI Technologies a company specialized in AI and automation (clients in various sectors Telecoms, Insurance, Cybersecurity, Public Sector, Gaming, Energy). I got traction on Linkedin with 28k+ followers, AI newsletter 2100+ subscribers, 90k+ impressions/year. Advisor of Antler Venture Capital and ISO Standards for AI. and writer in AI ('Machine Learning for the Web' published by Packt in English and translated in Chinese and Korean more 10,000+ copies sold). International speaker (including London, New York, Dubai, Frankfurt, Saudi Arabia). Experienced in leading edge AI algorithms and how to translate research into business applications and valuable IPs (including Brain Computer Interface systems).

Sherifat brings over a decade of experience in delivering technology solutions, having worked with global consulting giants like Accenture and KPMG. Throughout her career, she has successfully led projects across diverse industries, establishing a robust foundation for optimizing returns from data initiatives. In her current role as the UKI MDM Capability lead, Sherifat focuses on helping clients efficiently manage master data. As a CDMP Practitioner specializing in Data Governance and Master Data Management, Sherifat serves as the Data Management Training Lead at Accenture UKI. Her commitment to fostering expertise in data management is evident in training 70+ professionals from 13 countries to obtain CDMP certification. Sherifat's achievements extend beyond her role, earning her recognition as a '30 under 30 Rising Star in Data and Analytics' and a 2 time finalist for the 'Rising Star Award' at the Women in Tech Excellence UK. Her forward-thinking strategies, coupled with expertise in data governance and management, encompass data engineering, architecture, and the implementation of enterprise data management tools.