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.
September 18-19, 2023 | South Africa
The world is changing at an unprecedented rate, and the business intelligence, analytics and data space has never been more exciting! The annual BI Innovation & Tech Fest focuses on inspiring and empowering those who are passionate about driving innovation in the business intelligence function, from a people, process and technical perspective. The event offers attendees a world-class experience, with an unprecedented agenda, access to leading partners and vendors in the space, and invaluable networking opportunities.
June 2-4, 2023 | Czech Republic
You can look forward to an excellent lineup of 40 international experts in ML and AI business and academic applications at ML Prague 2023. They will present advanced practical talks, hands-on workshops and other forms of interactive content to you.
August 7-8, 2023 | USA
Come to San Diego and participate in an interactive summit designed for business, data science, and IT leaders who are responsible for selecting, managing, and delivering value from analytics applications, AI/ML, business intelligence, and the data that fuels them.
Organizations count on analytics to innovate, attract and retain customers, improve efficiency, and determine risk amid today’s unpredictable and fast-changing economic landscape. However, TDWI finds that many struggle to move ahead. Organizations face difficulties that lead to user frustration, errors, and higher costs. As your analytics models, workloads, and data pipelines grow in number and complexity, orchestrating the journey into production and operationalization is a challenge.