December 6-7, 2023 | Canada
The 11th Annual Data Analytics for Healthcare Summit returns to Toronto in 2023 with data and technology experts from Canada’s top healthcare organizations. Secure your spot today and:
Hear from industry experts on the latest use cases, both business and clinical, providing you with the ideas and tools needed to apply to your own organization.
Discover the latest innovative technologies to transform your organization’s data-driven strategy.
Establish valuable partnerships for collaboration and data knowledge sharing to futureproof your organization.
Leave with best practices from 30+senior healthcare data executives.
July 20-21, 2023 | USA
The annual DataConnect Conference brings together industry leaders, technical experts and entrepreneurs to discuss the latest trends, advancements, technologies, and innovations in data, analytics, machine learning, and AI.
November 12-17, 2023 | USA
At SQL Server Live!, we want to help DBAs, analytics experts, systems administrators, and developers like you do more with your SQL Server and Microsoft/Azure Data Platform investments. We want to help you improve performance, get insights from your data, step up security, and take advantage of new features across the platform. We want you to master reporting, BI, data integration, and developer tools and techniques. We will show attendees how to adopt new techniques, improve old approaches, explore and visualize their data, modernize SQL Server infrastructure and weigh its cloud migration. We teach and demonstrate how to integrate cloud-based data services, run SQL Server technology in the cloud, use Power BI and Analysis Services, and plan for SQL Server recovery and availability.
June 26-28, 2023 | Germany
World Conference on Data Science & Statistics (Data Science Week 2023) slated in Frankfurt from 26th to 28th June, 2023 with the theme “Understanding the Data Science: Can help now and in the Future”.
Data Science Week 2023 will provide a universally unique forum for extant work that develops computational methods, statistical, and mathematical in the field of data sciences.