Today in manufacturing there has been a lot of investment in automation, supervisory controls, quality, and execution systems. The amount of data produced and now being captured is staggering. The data captured in industry will re-define what is “big” in big data. Yet, for all this investment: Equipment still fails. Scrap
“When it comes to the Internet of Things, the future clearly belongs to the Things”. I made this brash statement in a previous post (“Cloud encounters of the Fifth Kind”) referring to machine-to-machine (M2M) being the fastest growing component of non-human traffic on the Web. I say “brash” because that
Warranties have a long - and some might say - interesting past. But the future is even brighter. New technologies and data sources are transforming our understanding of field quality, enabling deeper insights into product performance and customer preferences. These breakthroughs are accelerating the quest to reduce defects and satisfy customers.
In many ways it’s open season for open data; open data is one of those phrases we hear a lot but it’s not always appreciated as having value. The fact that it’s openly available is seen by some as proof that there’s no value in the data – unlike, for
Staying competitive in a big data world means working fast and making decisions even faster. You need to assess conditions, approve access, stop transactions and reroute activities quickly so you can seize opportunities or prevent problems. With increasing data volumes from the Internet of Things (Cisco predicts that fifty billion
It's an exciting time for reality! We've been technologically enhancing reality for a long time -- eye glasses, telescopes, binoculars, microscopes, photography, moving pictures, live streaming video over the Internet, etc. But whether it's augmented reality, virtual reality or somewhere in between, a new wave of eye wear technology is
The Internet of Things is going to be driven by innovative business models as much as by innovative technology. In order to ground the following discussion, I found it helpful to create this visual depiction of the IoT that defines and distinguishes the key elements that enter into these business models.
Recently, I had the opportunity to talk with James Haight of Blue Hill Research regarding the Internet of Things and how it is and will impact manufacturers. We also dipped our toes into other topics, including text analytics and the interesting combination of all these trends. The conversation was captured
By now, we have all heard about the Internet of Things (IoT), or the Industrial Internet. Across industries, organizations are attempting to instrument and measure all critical business systems and assets in an effort to drive improved production and service delivery. It is estimated that by 2020, companies will spend
In my previous post, I talked about how the Internet of Things promises new ways to use sensor and machine data by creating a highly efficient world that demands constant analysis and evaluation of the state of events across everything that surrounds us. I have also explained why it is
