Marketing analytics and data science

July 28-30, 2020 | USA

Over the course of three days, discover the infinite possibilities that emerge when data science, marketing analytics, insights, and marketing executives break down silos and work together to drive bottom line impact across an organization.

Spotlight

When modern LIMS software overtook traditional paper-based record-keeping in the lab, operations in every industry improved. Automated data collection drove efficiencies at the bench. Cloud solutions accelerated knowledge-sharing between partners. Built-in security and permission features enhanced data integrity. There’s hardly a lab in operation right now that hasn’t gained from this leap towards digital transformation.


OTHER PAST CONFERENCES

U-M data science and AI Summit 2022

November 14-15, 2022 | USA

The annual Summit (previously known as the annual Symposium) is the largest annual data science and AI event on campus. The event brings together the U-M data science and AI research community and their external collaborators to build research vision and collaboration. It also showcases the breadth and depth of U-M data science and AI research, from theory and methodology development to the transformative use of data and AI to address scientific and societal challenges in all domains. The event is free for all attendees (U-M faculty, staff, and trainees, as well as industry, government and community members).

Data2030 Summit 2022

September 29, 2022 | Sweden

Data 2030 Summit is an annual round table event gathering the Data Management community in one place and platform to discuss ways of enabling faster Data Innovation and AI deployment across the enterprise by setting up a modern Data Management strategy, platform & architecture for the new decade.

2022 UN Big Data Hackathon

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.

CXN Live: Customer Data, Insights & Analytics 2022

September 13-14, 2022 | USA

Given the seismic changes in customer behavior driven by the pandemic, historical data in effect became redundant overnight as businesses instead had to make sense of what was happening in real time. Those businesses with the most established customer data frameworks were therefore much better equipped to respond to these changes and deliver the experiences their customers needed in difficult circumstances.

Spotlight

When modern LIMS software overtook traditional paper-based record-keeping in the lab, operations in every industry improved. Automated data collection drove efficiencies at the bench. Cloud solutions accelerated knowledge-sharing between partners. Built-in security and permission features enhanced data integrity. There’s hardly a lab in operation right now that hasn’t gained from this leap towards digital transformation.

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