Data Science Week 2023

June 26-28, 2023 | Germany

Data Science Week 2023
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.
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Spotlight

Learn how Microsoft Purview works seamlessly together with Profisee Master Data Management (MDM) from Profisee's CTO Eric Melcher.


OTHER UPCOMING CONFERENCES

Data Management Summit London

March 30, 2023 | UK

Data Management Summit (DMS) London is now in its 13th year and takes place in person on 30th March at America Square Conference Centre in London, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times. As financial institutions strive to meet digital transformation goals and drive closer alignment with the business, keeping up with the latest data management innovations and adoption of cloud, AI and ML technologies that require new approaches and capabilities, is critical for driving innovation and a competitive edge.
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Data Science Perspectives - Multidisciplinary PhD Conference

February 6-7, 2023 | UK

Newcastle University is delighted to organise and host the 2023 Data Science Perspectives—Multidisciplinary PhD Conference, aimed at PhD students from across the entire Turing Institute network. Our primary aim in offering this conference is to facilitate network and community building among early-career researchers in data science and AI research areas, whilst also providing an opportunity to share research, build future collaborations and benefit from professional development activities.
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Data & Analytics Predict, SG

July 26-28, 2023 | Singapore

The avalanche of data generated by companies and their customers should be a competitive advantage, but most companies are struggling to manage it all. Data accessibility, quality, governance and security are all critical for operationalizing machine learning applications, so the stakes are high. Emerging frameworks are helping us come to grips with these issues but the answers go beyond just technology.
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Data & Analytics Predict, North America

June 6-8, 2023 | USA

The avalanche of data generated by companies and their customers should be a competitive advantage, but most companies are struggling to manage it all. Data accessibility, quality, governance and security are all critical for operationalizing machine learning applications, so the stakes are high. Emerging frameworks are helping us come to grips with these issues but the answers go beyond just technology.
Register Now