IBM collaborating with Cisco for IoT analytics

(c)iStock.com/Valerie Loiseleux

IBM is collaborating with Cisco to provide customers with IBM’s Watson IoT and business analytics technologies and Cisco’s edge analytics capabilities.

Certain businesses are unable to benefit from the interconnectivity of devices and sensors, which generate real-time data, and the storage capacity of cloud computing. This is on account of their presence in remote and autonomous locations. However, the new IBM and Cisco partnership aims to change this.

Mala Anand, senior vice president of the Cisco data and analytics platforms group, said: “Together, Cisco and IBM are positioned to help organisations make real-time informed decisions based on business-critical data that was often previously undetected and overlooked. With the vast amount of data being created at the edge of the network, using existing Cisco infrastructure to perform streaming analytics is the perfect way to cost-effectively obtain real-time insights.”

Port of Cartagena, a port area in Colombia, has been taking advantage of analytics capabilities to improve asset efficiency, including tyre gantries, cranes, and trucks. Eduardo Bustamante, director of operations at Port of Cartagena, said: “With these new capabilities from IBM and Cisco, we gain immediate insight into the health and operations of our more than 47 rubber tire gantries and 180 trucks.

“As a result, we expect to be more productive in our maintenance processes to help ensure our fleet runs even more efficiently and vessels and cargo are moving smoothly in and out of our port,” Bustamante added.

https://www.iottechexpo.com/wp-content/uploads/2018/09/iot-tech-expo-world-series.pngInterested in hearing industry leaders discuss subjects like this and sharing their IoT use-cases? Attend the IoT Tech Expo World Series events with upcoming shows in Silicon Valley, London and Amsterdam to learn more.

The show is co-located with the AI & Big Data Expo, Cyber Security & Cloud Expo and Blockchain Expo so you can explore the entire ecosystem in one place.

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