The Internet of Things (IoT) will arguably be dominated by network and app gorillas like Apple, Cisco, HP and Microsoft. But it will also provide massive opportunities for smaller, agile developers as well as developers from other software areas who are capable of inserting themselves into the hole that these mega-companies are too big or too slow to fill.
Such is the case with IoT platform provider Abo Data and its PLAT.ONE IoT platform and analytics provider Predixion, which have just partnered to bring predictive analytics to producers and users of IoT apps. PLAT.ONE customers will be able to use Predixion Insight for real time, predictive analytics at the point of decision to improve outcomes, they claim.
Insight is a cloud-based advanced analytics platform with patent-pending machine-learning Semantic Model (SM) technology that provides “predict anywhere” flexibility.
“Now that everything is connected and all of this data has been collected, customers are trying to figure out what to do with it all,” Steve Stover, VP of marketing and product management of Predixion, told CMSWire.
Capitalizing on Opportunities
Abo Data is an the Italian company that was established in 1979 to provide research and development services for software systems targeted to applications and development. It released PLAT.ONE in 2011 — it's first venture into the IoT.
Since then PLAT.ONE has established itself as a key platform for connected applications in telecoms and global industrial equipment companies. Last year, it entered the US market.
Predixion, a Aliso Viejo, Calif.-based software company focusing on general analytics, predictive analytics and data management, was founded in 2009.
In its mission statement it notes that it was founded on the belief that “analytics has the power to create a smarter, safer and healthier world and that access to that power should not be limited.”
Apart from the obvious business benefits of this partnership, there are two things worth noting. The first is that Abo Data has revised the estimated number of connected devices upward to 50 billion in the next six years — 12 billion more than research firm Juniper said earlier this week. In addition, the pair see the public sector as the real benefit of the IoT, rather than the headline-grabbing consumer-focused applications.
“PLAT.ONE has a smart city solution, CITY.ONE, in the market today. Extending advanced analytics capabilities via Predixion Insight allows both companies to respond to the market demand for embedded analytics in IoT applications. However, this is not limited to smart city use cases and will be deployed across multiple use cases and industries,” Stover said.
Predixion will deliver advanced analytics for PLAT.ONE’s vertical smart cities, industrial monitoring, smart buildings and vending application solutions and will be deployed on devices, gateways, or in the cloud according to need through Predixion Insight.
Stover says its Insight product is the first advanced analytics platform that enables predictive analytic models to run directly on-gateway, on-device or in the cloud so organizations perform real-time analytics and automated actions close to the edge.
This enables enterprises to embed advanced analytics into production environments including connected or disconnected devices, in addition to applications, databases and complex event processing engines.
Unlike traditional analytics tools which struggle with the speed and volume of data generated by the IoT, Predixion Insight can analyze “data in motion” at the edge in addition to “data at rest,” the company claims.
“The synergies and ease of integration between Predixion and PLAT.ONE made the decision to partner and help our customers rapidly deliver advanced analytics driven applications for the IoT an easy one,” Stover added.
He said the combined solution will be attractive to executives looking to maximize revenues. The market is for large and small companies looking to use IoT data to deploy predictively enabled applications across the manufacturing, energy, utilities, transportation, and healthcare industries is exploding.
So how will it be used? In energy, utilities and manufacturing it will offer predictive maintenance to know when an asset or part is at risk of a failure before it happens to avoid costly downtime, Stover said. In asset utilization and optimization it will help understand the capacity and usage of key assets, as well as probability of future usage, in order to optimize utilization in real-time.
“The market is shifting from connecting devices and collecting data to putting that data to work for their business. We specialize in getting the power of predictive insights to the decision point where they are most actionable,” Stover said.