IBM, Cisco Team Up to Deliver IoT Analytics at the Network Edge
"The way we experience and interact with the physical world is being transformed by the power of cloud computing and the Internet of Things," said Harriet Green, general manager of IBM Watson IoT, Commerce & Education, in a statement. "For an oil rig in a remote location or a factory where critical decisions have to be taken immediately, uploading all data to the cloud is not always the best option. By coming together, IBM and Cisco are taking the most powerful IoT technologies the last mile, extending Watson IoT from the cloud to the edge of computer networks, ensuring that the best analytics capabilities are available everywhere, always." Cisco and IBM are working with Bell Canada to deliver IBM Watson IoT and Cisco Edge over Canada's largest and fastest 4G LTE network to enable customers to collect data in real time. "This powerful joint IoT solution from Cisco and IBM, combined with Bell's world leading network technology, enables customers to tap into innovative real-time analytics options to maximize performance across their operations, no matter where they are," said Stephen Howe, Bell's CTO, in a statement. "Many of our largest customers operate remote systems, requiring continuous availability and access to data to monitor critical performance factors and avoid downtime." Cisco and IBM also are piloting their collaborative effort with the Port of Cartagena in Colombia and with Silverhook Powerboats, both of which have a large number of IoT sensors at work at any given time.Meanwhile, this deal could provide IBM with a template for additional future Watson IoT-based collaborations, King said. "Though other vendors are putting considerable energy and investments into cognitive technologies, IBM's currently enjoys a substantial leadership position," he said. "If the agreement with Cisco allows all parties to capture significant benefits, expect other potential partners to line up in hopes that Watson IoT's magic can be added to their own solutions. The cognitive capabilities in the Watson IoT platform include machine learning and natural language processing as well as text, video and voice analytics, O'Connor said. These are all higher-level services inside the Watson IoT platform.
"There is a real need for this capability particularly when IoT devices are tightly aggregated within a single location such as a manufacturing floor where there are thousands of IoT devices responsible for helping to make something or a remote operations site such as an oil platform or a ship at sea," Flannagan said. "There's a need to process some of that data before it leaves that remote location. And not just process it for network symmetry or ease of use, but business process it as well. And then there's a need to be able to aggregate that up."