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Data Visualization Summit
Link to Website
We promise to celebrate our sixth year of production in style, bringing together an exciting agenda packed full of presentations, workshops, training sessions & panel discussions. If you require further information then please contact Jordan Charalampous.
The Big Data Innovation Summit establishes a platform for our speakers to openly share their challenges and the solutions they established in response.
Key Benefits for Attendees
- Become indispensable by exploring untouched areas, emerging themes and new trends through four unique industry tracks to stay ahead of others in your field.
- Avoid costly mistakes at the initial stage of data collection, and attain the best practices for harvesting data with high potential.
- Sow the seeds of your data success by becoming versed in the most efficient and secure storage strategies from industry forerunners.
- Network with 500+ industry leaders cross-industry, bound by a desire to succeed. Form fruitful relationships and open the door to future investment opportunities or partnerships.
- Futureproof your technical capacities. Review your current models, tools, and predictive capabilities by understanding where to direct investment.
Themes for Discussion?
- Data Science - Machine Learning, Artificial Intelligence
- Data Governance - Business Intelligence, Data Security
- Predictive Modeling - Marketing, Consumer Intelligence
- Data Strategy - Data Culture, Data Products
The Summit includes the following
- Panel Sessions
- Exhibition Floor
Catch up with all the content post-summit on Innovation Enterprise On Demand - available to Gold and Access All Areas pass holders.
Still not sure what to expect? Check out Robin Thottungal - US EPA: A Data-Driven Decision-Making Agency
Big Data Innovation will include ground-breaking keynote presentations and will blossom into both technical & business focused tracks throughout the day with interactive workshops, breakouts & more.
Key Exploration Areas Include:
- Data Science
- Machine Learning
- Product Analytics
- Data Governance & Security
- Marketing Intelligence
- Customer Analysis
- Driving the Data Culture
- The Chief Data Officer Role
- Data Democratization
- Pricing Analytics
- Big Data Strategy
- & so much more across 40 sessions.
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