NETWORKS AND COMMS
Things ( IoT ) insight at the edge of the network . “ Now , businesses and organisations 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 mines , “ where time is of the essence but bandwidth is often lacking .”
“ 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 , IBM Watson IoT , Commerce & Education . For a mine in a remote location 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 these powerful IoT technologies the last mile , extending Watson IoT from the cloud to the edge of computer networks , helping to make these strong analytics capabilities available virtually everywhere , always .”
“ 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 ,” said Mala Anand , Senior Vice President of the Cisco Data & Analytics Platforms Group . “ 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 . Our powerful technology provides customers with the flexibility to combine this edge processing with the cognitive computing power of the IBM Watson IoT Platform .”
For example , workers in remote environments will now be able to better monitor the health and behaviour 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 % and increase productivity by 25 %.
In Canada , 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 . “ This powerful IoT technology from Cisco and IBM , combined with Bell ’ s world leading network technology , enables customers to tap into innovative real-time analytics options to maximise performance across their operations , no matter where they are ,” said Stephen Howe , Bell ’ s Chief Technology Officer . “ Many of our largest customers operate remote systems , requiring continuous availability and access to data to monitor critical performance factors and avoid downtime . Deploying the unmatched analytics capabilities of IBM Watson Internet of Things and Cisco networking intelligence with streaming edge analytics will help to further accelerate Bell ’ s leadership in Canadian IoT .”
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 .
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Connectivity for Mining IoT Expert Design & Deployment
Rugged On-Board Computing & Application Integration
Over 80 Mines Deployed
Networks that Deliver : Rajant Zebra Cambium Redline