SAN JOSE, CA and ARMONK, NY --- Cisco and IBM announce a global collaboration to provide instant Internet of Things (IoT) insight at the edge of the network. Now, businesses and organizations in remote and autonomous locations will be able to tap the combined power of IBM's Watson IoT and business analytics technologies and Cisco's edge analytics capabilities to more deeply understand and act on critical data on the network edge.
Today, billions of interconnected devices and sensors are gathering vast amounts of real-time data about the physical world. In recent years cloud computing has offered companies a powerful way of storing that data and turning it into valuable insight. But for businesses without easy access to high bandwidth connectivity, these capabilities are sometimes out of reach or take too long. To address the problem, IBM and Cisco have joined forces to offer a new way to produce immediate, actionable insight at the point of data collection. The new approach is designed to target companies operating on the edge of computer networks such as oil rigs, factories, shipping companies and mines, where time is of the essence but bandwidth is often lacking.
For example, workers in remote environments will now be able to better monitor the health and behavior of critical machinery and more accurately plan for needed maintenance and equipment upgrades. By tapping into the power of the IBM Watson IoT platform and Cisco edge analytics, these companies can adopt the latest approaches to condition based maintenance through which equipment is monitored in real-time, potentially helping reduce maintenance costs by up to 50 percent and increase productivity by 25 percent (1).
Bell Canada is delivering intelligent data analytics solutions to Canadian businesses from coast to coast:
Cisco and IBM are working with Bell Canada, the largest communications company in Canada, to deliver IBM Watson IoT and Cisco Edge over Canada's largest and fastest 4G LTE network. Bell's network coverage and LTE-Advanced speeds will enable customers to collect data in real-time.
Businesses including Port of Cartagena and SilverHook Powerboats are turning to Cisco and IBM to help address their most complex IT and IoT challenges:
Port of Cartagena, a modern and highly efficient port in Colombia, is tapping into analytics on the edge to improve the port's efficiency of assets including rubber tire gantries, cranes, and trucks. Several years ago, the Port started monitoring equipment conditions such as engine temperature, engine speed and run hours to improve efficiency and maintenance costs. Now the Port is beginning to use the IBM Watson IoT Platform with Cisco streaming edge analytics to monitor an expanded set of conditions in the cloud. This capability, including predictive analytics, is expected to help the Port to get ahead of equipment degradation and needed maintenance to keep machines running efficiently and avoid costly equipment failures.
Port of Cartagena has been nominated as the best container terminal in the Caribbean six times. It was also once named the most reliable port by the Caribbean Shipping Association, handling 2.5 million TEUs (twenty equivalent container units) per year.
SilverHook Powerboats, a company that designs high speed racing watercraft reaching speeds of up to 200 mph, with each boat containing two engines worth approximately $1.5M USD, is tapping into Cisco edge analytics and IBM Watson IoT analytics to help race pilots react immediately to environment and engine multi variate conditions in real-time, indicating the need to throttle back in a split second, for example, to help prevent the boat's systems from failure and to perform optimally. Previously, without this instant insight into the critical data, the outcomes could spell disaster.
Building on IBM and Cisco's long-standing relationship, the solution will be marketed and sold together and will include Watson IoT Platform cognitive and real time insights from IBM with Cisco streaming edge analytics. This will enable real-time analytics to be performed at the edge and collection of data for longer-term analysis in the cloud.