The Rise of the Machines in the Internet of Things
The Internet of Things is now a Reality
It’s hard to ignore the rise of the Internet of Things whether in our personal or business lives. As we head towards a world of 20 billion interconnected devices by 2020, the Internet of Things (IoT) is a reality that business users and IT need to embrace.
One of the leaders in the Internet of Things is GE, who has launched a comprehensive effort to champion the “Industrial Internet of Things”. Indeed, the venerable GE is redefining itself as “the world’s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive.” Last year, GE hosted “Minds + Machines 2015” in San Francisco to highlight their vision for the Industrial Internet of Things (IIoT) and their partnerships around their cloud-based platform, Predix.
GE assembled an impressive group of industry leaders including customers from their transportation, public utilities, manufacturing and retail groups to speak about their journey towards using the IoT to support their business objectives.
HVR attended the Minds + Machines event and, as we listened to these companies discussing their IoT journey, we realized that their stories had one thing in common: as valuable as the IoT data is, it is even more valuable when it can be combined with data from enterprise applications and other data sources. By combining IoT data and operational data assets, pundits, vendors and customers alike suggested that operational performance can be optimized, productivity increased and, ultimately, profits boosted.
From an HVR perspective, combining IoT and operational data is a sweet spot for our product. For years, companies have been running their critical business infrastructure and building business insights based on transactional data stored in relational databases (IT). However, with the advent of industrial data and operational technology (OT), systems must incorporate less structured data, such as machine sensor data, which can be mined for useful information.
Companies that are seeking ways to capitalize on the huge potential of both enterprise data and industrial data need to consider data integration technologies to help bridge the gap and replicate that data across the enterprise in real-time. As Kristian Streenstrup, Research Vice President and Gartner fellow, said “There’s only so many incremental improvements you’re going to get in the IT systems to improve the system’s performance… You can get transformational change in the organization by combining the IT-OT alignments.”
If your organization is considering how to respond to the business opportunities, and IT challenges, posed by the rise of the Internet of Things, contact us. We have been part of successful operational and enterprise data lake projects that include IoT data and we can show you strategies and solutions to integrate IoT and enterprise data to drive innovation and business success.