We’re drowning in data and we have plenty of tools, yet are no better informed.
Tomorrow’s advantage will go to those who most quickly (and easily) convert data-collection to business insight.
To learn more about how you can ride, rather than down, in the IoT data wave, download Hopara’s free report, authored by data analytics pioneer Mike Stonebraker of MIT CSAIL.
In this article, 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.
The following is part of a series, “Drowning in Data (but no better informed),” exploring a critical evolution in data analytics. Based 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.
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 about the upcoming trends in data and the problems with the academic side of data science.
Dr. Michael Stonebraker, Founder, CTO and Visionary, Hopara, and Ken Smith, Co-CEO, Founder, Hopara, discuss the state of the IoT industry, whats working with integrating large scale real-time data with dashboards, what’s not working, and use cases from Hopara.
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.
Thirty years ago, Tim Berners-Lee’s World Wide Web (1989) and early commercial web browsers made internet data more accessible.
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. However, CEOs and CDOs typically overlook the value of visual data exploration.
The scale and pace of data collection have driven a constant need for innovation in how data is presented and analyzed. The massive data sets of today require a new visualization paradigm that allows more users to dynamically engage with data in an immersive environment without requiring special skills or training. Hopara, an innovation recently devised at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), delivers more data into the hands of average users, accelerating the promise of creating data-driven organizations and maximizing ROI of investments in data collection.