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Whitepaper: Tame the IoT Data Tsunami

Tomorrow’s advantage will go to those who most quickly (and easily) convert data-collection to business insight...

Webinar: Tame the IoT Data Tsunami

Firms are increasingly drowning in the sheer volume of data generated by growing mobile data, cloud computing traffic, IoT, AI...

Learn Data Visualization from a Turing Award Winner

Turing Award Winner and CTO of Hopara, Mike Stonebraker, and Hopara CEO, Gant Redmon, join Ryan Chacon to discuss data visualization...

Avoiding Three Digital Transformation Pitfalls: How an Innovation from MITs AI Lab Turns Failure into Success

Digital Transformation and the utilization of Digital Twins have brought about a paradigm shift in how companies harness the power of their data...

Hopara, Founder, CTO: Data Scientists Should Be Better at Data Integration, Management and Visualization

Dr. Michael Stonebraker, Founder, CTO and Visionary, Hopara, and Ken Smith, Co-CEO, Founder, Hopara, speak with Ricardo Crepaldi, Director Business Intelligence, Big Data and Integration, BASF-Germany...

How to Best Support Digital Twins

In this blog, post we first review the definition of a digital twin. Then we argue that a detail-on-demand visualization system should be an integral part of the software system used for gaining insight from digital twins...

Effects of the IoT Revolution

ased on research conducted by professor Michael Stonebraker from MIT CSAIL, this series outlines how the current speed, pace, and scale of data overwhelms most existing analytics and visualization tools and what to do about it...

Humanizing Data

Thirty years ago, Tim Berners-Lee’s World Wide Web (1989) and early commercial web browsers made internet data more accessible. Information that was once reserved for a select few highly trained insiders suddenly came within reach of millions more users, increasing productivity and revealing new forms of engagement and entertainment...

Corporate Strategy and the Data Exploration Gap

Essentially every CEO and Chief Data Officer (CDO) expresses a goal to create a more competitive, data-driven organization. Typically, this means to consolidate their enterprise data in a data lake and to empower data scientists to extract and analyze subsets of this data...
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