September 18-20, 2022 | Germany
The 10th Big Data Minds offers decision-makers from the DACH region a tailor-made platform to discuss strategy concepts in the context of Big Data & Data Analytics and to present successful projects. The leading big data event brings together more than 200 decision-makers and experts for data strategy & analytics to exchange strategies for the internal and external handling of large amounts of data and methods for their analysis and to find effective solutions to your challenges.
October 5-6, 2022 | USA
The world’s leading AI & Big Data event series will return to Santa Clara on the 5th-6th October 2022.
This technology event is for the ambitious enterprise technology professional, seeking to explore the latest innovations, implementations and strategies to drive businesses forward.
November 8-11, 2022 | Indonesia
Rising energy prices are accelerating the cost-of-living crisis and sustaining the vicious cycle of constrained household budgets, food insecurity, energy poverty, and rising social unrest. Now more than ever we need to double our efforts to achieve the goals of the 2030 Agenda for Sustainable Development. If you want to help and you have some data science skills, you can sign up with a team of 3 to 5 persons. We will make data sets and a coding environment available to you. You just come with ideas and enthusiasm.
November 15-16, 2022 | Canada
New to Western Canada this year, CDAO Calgary is designed for Chief Data Officer (CDO), Chief Analytics Officer (CAO), and senior data & analytics roles in Calgary and the surrounding provinces of Canada.
This forum is led by CDOs, CAOs, and CDAOs but is open to all IT, Data, and Analytics Leaders from industries like Financial Services, Oil & Gas, Manufacturing, Retail, Tourism, and more, to allow you to meet and network with the very best of your peers from a range of organizations and experiences. Our attendees are Senior Data & Analytics Leaders who need to attract next-generation workers, build data-fueled teams and organizations, and insist on data transparency so they can modernize their teams, and improve data ROI.