Lancaster University Data Science Programme

http://www.lancaster.ac.uk/data-science/

Lancaster University Data Science Programme is a founder supporter of the Data Science Foundation. We are grateful for their advice and support and for the use of the facilities at the university.

Lancaster Environment Centre, the Department of Mathematics and Statistics and the School of Computing and Communications at Lancaster University, has recruited 45 of the brightest minds onto a new Data Science MSc Business Engagement programme.

A partnership with Lancaster University's Data Science programme offers organisations access to the latest analytical technologies and techniques, backed by a global top 1% university.

You have the data - a Data Scientist can bring you the knowledge.

AI and Big Data Expo

The AI & Big Data Expo Global, the leading Artificial Intelligence & Big Data Conference & Exhibition event will take place on 25-26 April at the Olympia London. It is a showcase of next generation technologies and strategies from the world of Artificial Intelligence & Big Data, an opportunity to explore and discover the practical and successful implementation of AI & Big Data in driving forward your business in 2019 and beyond.

4 co-located events. 21 conference tracks. 12,000+ attendees. 500+ speakers. 300+ exhibitors.

Our high-level conferences will bring together forward thinking brands, market leaders, AI & Big Data evangelists and hot start-ups to explore and debate the advancements in Artificial Intelligence & Big Data, the impacts within Enterprise & Consumer sectors as well as Development platforms and Digital Transformation opportunities. Topics covered include Business Intelligence, Deep Learning, Machine Learning, AI Algorithms, Data & Analytics, Virtual Assistants & Chatbots as well as case study based presentations proving an insight into the deployment of AI across different verticals.

The AI & Big Data Expo will bring together over 4,000 visitors over the two days including IT decision makers, developers & designers, heads of innovation, chief data officers, chief data scientists, brand managers, data analysts, start-ups and innovators, tech providers, c-level executives and venture capitalists.