April 9-11, 2024 | USA
The Analytics and Data Summit 2024 will take place at the Oracle Conference Center in Redwood Shores, California April 9-11, 2024.
The three-day summit is organized and managed by the Analytics and Data Oracle User Community. The conference features keynotes by industry experts, educational sessions by practitioners and developers, hands-on labs, and networking events.
It is an intimate conference that allows speakers to connect with their audiences on a more personal level. It is a great conference to build your network and make lasting connections in the industry.
September 25-26, 2024 | Sweden
Data 2030 Summit is an annual round table event gathering the Data Management community in one place and platform to discuss ways of enabling faster Data Innovation and AI deployment across the enterprise by setting up a modern Data Management strategy, platform & architecture for the new decade.
For the past seven years Data 2030 Summit has served as a remarkable knowledge-sharing and networking platform for data practitioners in the Nordics. Since 2020 the event is available as well to data practitioners in the APAC, ANZ and MEA Region with dedicated regional editions.
June 5-6, 2024 | France
Join us for the premier leadership gathering of senior executives in the digital infrastructure space, including data centres, cloud providers, and edge providers. The event brings together finance and tech leaders, enterprise representatives, terrestrial and subsea fibre providers, energy companies, and government agencies.
June 19, 2024 | UK
Enterprise AI and Big Data 2024 Conference and Expo – Leveraging Enterprise Software to harness Advanced Generative Artificial Intelligence with Big Data/ML Convergence techniques to drive Digital Transformation.
Welcome to the Annual Enterprise AI and Big Data 2024 Summit –The UK’s premier conference for AI and Big Data decision-makers and Business Leaders looking to adopt Generative AI and Big Data/Machine Learning capabilities within the Large Enterprise Sector.
Organizations that deploy enterprise AI applications can achieve increased business resilience, greater efficiency, improved profitability, and reduced environmental impact.