Data Science Congress 2017
Date: 10 January, 2017
City: Mumbai
Type: Conference
Organiser: Data Science Congress
Enquire NowAbout the event
A confluence of Analytics, Big Data, Machine Learning, Artificial Intelligence, IoT and Cognitive Computing.
Big Data and Analytics are the most active frontier for innovation. The analysis of colossal data sets is highly important in government, marketing, medicine, finance , business and beyond. As the world of big science is flourishing the novel resources for growth and understanding in the world also explodes and to share the insights all experts at the forefront of big data come together to frequently share their knowledge at the world’s leading Big –Data Congress.
The event would be rich with information about latest methods, tools and best of the best practices in the world of data science. The attendees will have the privilege to avail most of this flood of information and can make the most of the insights and data analysis. It is a must event for every budding Data scientist, Data Science professionals and other Data Science patriots.
Who should attend?
- Government stake holders/ influencers, Decision-makers
- Business Owners, CEO, SVP/VP, C-Level, Director
- Investors, VCs, Manager, Business Executives, Analysts
- Project managers, Analytics managers, Data Scientist, Statistician
- Marketing, human resources, Developers, Architects
- Data Science explorers, Professional Services, Data Analyst
- BI Developer/Architect, QA, Performance Engineers, Data Warehouse Professional, Sales, Pre Sales, Technical Marketing, PM, Teaching Staff, Delivery Manager
Why attend?
- After talking to a lot of industry leaders from both buyer and sales side, we realized that there is whole lot of clutter around the Data Science, Big Data, Analytics etc.
- Leaders are talking a lot about it but real deployment is not going much beyond POCs.
- And one of the major reasons are awareness, knowledge, skills and offcourse tech vendors and users both are not able to bring real use cases resulting in tangible measurable outcomes.
- After talking to a lot of industry leaders from both buyer and sales side, we realized that there is whole lot of clutter around the Data Science, Big Data, Analytics etc.
- Leaders will be talking a lot about it but real deployment is not going much beyond POCs. And one of the major reasons are awareness, knowledge, skills and of course tech vendors and users both are not able to bring real use cases resulting in tangible measurable outcomes.
