May 9-12, 2023 | UK
Hear from world-leading experts who will talk you through their challenges, solutions, and predictions for the future. Gain insight and get practical advice to take back to the office. This year's case studies and contributors include:
abrdn, Bank of England, CABI, Flanders' Department for the Environment and Spatial Planning, Dutch Development Bank, Elsevier, Farfetch, Göteborg Energi, Lexmark, MUFG Bank Ltd, NEST, OCI Chemical, Poslovna Intelligencija, PwC, Tata Steel Europe, The Openwork Partnership, University Hospitals Birmingham NHS Foundation Trust, The Very Group, Volvo Penta and many more.
The event offers a meeting of the most innovative minds of major users of master data management and data governance from across Europe and beyond. By joining us you'll get to make long-lasting business connections.
April 26-27, 2023 | USA
Please join us for a two-day conference to learn about current innovations in data analytics, connect with experts in the field, identify your organization’s data readiness, and consider next steps for increasing your data analytics capabilities.
The Developing Data Analytics Capabilities conference will offer keynote sessions, plenary speakers, and sessions focused on policy areas such as education, criminal justice, economic development, and more.
March 24-25, 2023 | USA
Data science is reshaping different academic and industry fields and is playing an increasingly important role in almost all domains. The Southwest Data Science Conference (SDSC 2023) at Baylor University on March 24-25, 2023, provides an international forum for the presentation of original research results in different data science domains as well as the dissemination and exchange of novel data handling and methodology experiences.
April 9-13, 2023 | USA
Industry leaders and practitioners show how data is shaping their respective industries and sub-industries – with the goal of sharing knowledge and applications that can be transferred cross-industry.
The program will feature industry-specific data experts speaking to innovative applications and models being leveraged by their individual industries, with the goal of sharing transferable knowledge and techniques that data scientists and executives can apply in their own respective industries.