Hewlett Packard Enterprise (HPE) sees a lot of opportunity in the Internet of Things (IoT). "We believe that as the technology matures, the ability to serve customers, solve problems, drive efficiencies and ultimately provide solutions is going to be easier to achieve," said Pete Murray, VP, OEM & IoT GTM, Hewlett Packard Enterprise.
In Singapore to speak at the Asia IoT Business Platform conference, Murray noted that HPE will be involved in supporting several meta-trends in the push towards a mature IoT. Murray said that it will be critical for HPE to offer cloud capacity and cloud services to operate in a hybrid world, for instance.
"From a connectivity and cloud point of view, the world will be hybrid. Customers will be interested in a combination of connectivity and cloud services. It won't just be public, it won't just be private," he said.
Another meta-trend concerns edge computing. "When it comes to IoT - there is a lot of information going to be generated by the 'things'," Murray explained, most of which is not actioned, as "we haven't got the time, capability, or analytics to do that".
What can help add value is adding more automated decision-making at the 'edge', where the sensors capture data, instead of sending large volumes of data back to the cloud for analysis. "Some of the data that's created from the sensors has more value when we act on it immediately," Murray said, using the example of a heat sensor which sounds the alarm on a fire so that it can be put out immediately.
"We are spending a lot of time innovating around what we call the edge. We want to give customers the ability to take the data where it's created and be able to look at business insights and take business actions because of that," he shared.
Connected cars is another important piece of the puzzle for HPE. Murray has seen smart cars evolve from simple satellite links for emergency communications and location-based feedback, to Wi-Fi and 3G connectivity and the ability to compute in situ. This second wave of connected car technology has given drivers access to local traffic reports, real-time weather, and potential links to third party productivity tools like calendars.
In a third wave of technology, it will be about mesh computing and machine-to-machine communications with additional sensors. The added data will lead to more business insights and could result in autonomous cars which interact with surrounding systems such as other cars, park themselves properly, and help drivers become even more productive.
Finally, HPE is pulling everything together with services and creating new business models that can evolve in the same disruptive way that Uber and Amazon have changed the way things were traditionally done for rides and retail, Murray said.
In Singapore to speak at the Asia IoT Business Platform conference, Murray noted that HPE will be involved in supporting several meta-trends in the push towards a mature IoT. Murray said that it will be critical for HPE to offer cloud capacity and cloud services to operate in a hybrid world, for instance.
"From a connectivity and cloud point of view, the world will be hybrid. Customers will be interested in a combination of connectivity and cloud services. It won't just be public, it won't just be private," he said.
Another meta-trend concerns edge computing. "When it comes to IoT - there is a lot of information going to be generated by the 'things'," Murray explained, most of which is not actioned, as "we haven't got the time, capability, or analytics to do that".
What can help add value is adding more automated decision-making at the 'edge', where the sensors capture data, instead of sending large volumes of data back to the cloud for analysis. "Some of the data that's created from the sensors has more value when we act on it immediately," Murray said, using the example of a heat sensor which sounds the alarm on a fire so that it can be put out immediately.
"We are spending a lot of time innovating around what we call the edge. We want to give customers the ability to take the data where it's created and be able to look at business insights and take business actions because of that," he shared.
Connected cars is another important piece of the puzzle for HPE. Murray has seen smart cars evolve from simple satellite links for emergency communications and location-based feedback, to Wi-Fi and 3G connectivity and the ability to compute in situ. This second wave of connected car technology has given drivers access to local traffic reports, real-time weather, and potential links to third party productivity tools like calendars.
In a third wave of technology, it will be about mesh computing and machine-to-machine communications with additional sensors. The added data will lead to more business insights and could result in autonomous cars which interact with surrounding systems such as other cars, park themselves properly, and help drivers become even more productive.
Finally, HPE is pulling everything together with services and creating new business models that can evolve in the same disruptive way that Uber and Amazon have changed the way things were traditionally done for rides and retail, Murray said.
The key building blocks for an IoT solution will include ways to compute data, analytics, connectivity, and security. While HPE will be able to provide much of what is needed, Murray also said that the company is going for an ecosystem model. "The reality is that it is unlikely that one vendor or partner is going to solve large-scale opportunities. We believe a strong partner ecosystem is critical," he said, listing GE Digital, National Instruments and Schneider as some of HPE's IoT partners.
Sameer Dhingra, GM, Manufacturing & Distribution Industries, Asia Pacific & Japan (APJ), HPE, said that IoT customers in the APJ region are primarily focused around industrial applications, smart cities, travel and transportation, as well as application areas around condition monitoring, location-based services such as surveillance and tracking, and connected cars.
"Organisations are at different stages of maturity in implementation and adoption," he said. "They figuring out implementation agendas, how you chart the digital transformation journey. They're experimenting on smaller projects."
HPE has worked with Kyushu University in Japan on its Urban OS project, which applies advanced graph analysis to optimise traffic for Fukuoka, Japan, for example. The university ran analyses on the HPE Moonshot System, processing 320,000 nodes and 700,000 edges of a transportation network graph in 2 minutes, 30 seconds.
This performance level is expected to ultimately enable the city of Fukuoka to control traffic signalling and digital displays in near real time for optimal traffic routing or emergency evacuations. “The ability of HPE Moonshot to complete the graph analysis so quickly definitely exceeded my expectations,” said Professor Katsuki Fujisawa from the Institute of Mathematics for Industry, the project leader of the initiative.
“This result means that it is possible to collect sensor data every 15 to 30 minutes to analyse and display the data required for traffic control on digital signage. For example, the current operating traffic information system can only deliver accident information. However, with this new system, it is possible to derive optimum guidance routes and display them. Moreover, if it is a localised analysis, it would be possible to do all this in close to real time.”
Murray also listed the potential for spectators to make and receive orders of food from their seat in a stadium during a sports event, the ability to track and access expensive medical equipment at short notice in a hospital, and smart meters that help home owners and power providers make better choices. Predictive maintenance on equipment situated in remote areas, such as for windfarms, can also save companies money and increase uptime. "The manpower, administration, and automation cost savings are pretty significant," Murray said. "Significant cost savings and significant increases in uptime ultimately give some (IoT project proposals) a very strong business case and return on investment."
Interested?
Read the HPE and Kyushu University case study (PDF)
posted from Bloggeroid
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