You’re invited: The Big Data & Analytics Innovation Summit
Event: The Big Data & Analytics Innovation Summit Date: March 1st - 2nd Venue: Grand Copthorne Waterfront Hotel, Singapore
The importance of data in modern business cannot be understated.
Big data has exploded onto the scene like a bull in a china shop, allowing professionals to analyse large data sets computationally to reveal invaluable patterns, trends, associations and business insights – those that don’t utilise the many benefits of data risk being left behind.
This is why we have events like the Big Data & Analytics Innovation Summit, hosted by Innovation Enterprise, that is returning to Singapore on March 1 & 2, at the Grand Copthorne Waterfront Hotel.
The summit has been successfully hosted in Singapore for four consecutive years now, attracting nearly 1000 attendees.
With the main theme of 'Leveraging Big Data to Maximize Business Performance', this year's edition will gather together over 35 industry speakers and 250 senior executives across a variety of industries to discuss data challenges and opportunities surrounding several different industries.
Wherever you are on the big data journey, you will be inspired by the experiences and insights shared by the lineup of influential senior-level executives – confirmed speakers include:
- Chief Data Architect, Uber
- Group CIO, DBS Bank
- CIO, ASPAC, Johnson & Johnson
- Senior Director, Group Data Management, Alibaba Group
- Head of Data Innovation Lab, AXA
- Global Head, Analytics Core Strategies & Quantitative Development, BP
- And many more
This is your chance to discuss ideas with them on data analytics, machine learning, product development, organisational strategy, data for social good and so much more.
Taking a C-Suite approach, this year will offer more opportunities than ever before to network with thought leaders and to dig into multiple aspects within big data through not only keynote presentations, but also interactive roundtable discussions, in-depth workshops, networking sessions, and practical case studies in multiple tracks.