5G, AI and IoT : IBM and Verizon Business Close to Edge of “Virtually Mobile”
IBM and Verizon Business are collaborating on a global scale to bring AI capabilities at Enterprise Edge for 5G networking. There has been a tectonic shift in the Enterprise Edge industry leveraging AI and the Internet of Things capabilities to push the bar higher for 5G networking. With Verizon Business, IBM intends to bring AI and IoT capabilities at the center of every Cloud-driven enterprise digital transformation.
It’s a Mobile Economy with 5G and AI
5G technology is the mother of all emerging technologies.
We are already witnessing a rise in the number of Edge devices used in fintech, healthcare and manufacturing services, and smart city architecture around the 5G networking platforms. These are all part of the larger global picture — we call it the Future of Industry 4.0. AI, alone, couldn’t have helped companies achieve all the promises that were made in the first two decades of the century. It’s a different industry altogether with the exploding Big Data pushing hard on AI, Machine Learning, Telecom and Internet connectivity.
IBM’s partnership with Verizon will bring A, IoT and 5G technologies to co-invent Multi-access Edge Compute (MEC) capabilities for a wide range of applications. These are tested and analyzed for efficiency, accuracy, quality, and availability at an industrial level.
Industrial customers would benefit from Verizon’s 5G MEC expertise and IBM’s Cloud and AI capabilities. Next-gen high-speed internet connectivity with low latency underlines the future of Industrial Revolution 4.0.
Why Industries Need Edge Computing?
Many industrial enterprises are today seeking ways to use edge computing to accelerate access to near real-time, actionable insights into operations to improve productivity and reduce costs.
Edge Computing ensures low latency with trust-worthy computing and storage capabilities. Edge Virtualization is one of the fastest-growing data center infrastructure management trends that have the power to completely take out traditional IT challenges. With AI and Sensors, these data centers can be managed better, with real-time analytics and predictive intelligence becoming the new gold-standards of future IT businesses.
Understanding the Supply Chain of Edge Computing in Today’s Context
Edge computing’s decentralized architecture brings technology resources closer to where data is generated – i.e., where devices are located in an industrial site.
Edge computing provides these benefits:
- Decrease lags in response time
- Increase processing speeds and reliability.
Why Bring 5G into the Edge of Everything?
We see the role of 5G networking in Edge Computing very clearly. 5G is the most advanced standard in global wireless mobile networking. 5G holds the key to connecting every device — mobile, car, objects, devices, (some say, even digital pacemakers and nano-brains) with a secured mobile network. To understand each of these interactions with the Edge device on 5G in real-time, we would need AI and the power of automation.
With 5G’s low latency, high download speeds and capacity, any user can increase the number of devices that can be supported within the same geographic area. IoT devices on the 5G network could amplify the pace at which organizations interact with these devices in near real-time, with computing power in the proximity of the device. The proximity factor of data storage and computing is what makes Edge and 5G combination so powerful.
This could mean that innovative new applications such as remote control robotics, near real-time cognitive video analysis and plant automation may now be possible.
New O’Reilly Report Explores Tools And Best Practices For Advanced Analytics And Artificial Intelligence
IBM and Verizon Business are already eyeing their market with advanced Mobile Asset Tracking and management solutions. The mobile asset tracking solutions would help enterprises improve operations, optimize production quality, and help clients enhance worker safety from any location. This would be an advantage that could play out very well in any situation that arises from a COVID-19-like pandemic or catastrophes.
At the time of this announcement, Tami Erwin, CEO, Verizon Business said,
“This collaboration (with IBM) is all about enabling the future of industry in the Fourth Industrial Revolution. Combining the high speed and low latency of Verizon’s 5G UWB Network and MEC capabilities with IBM’s expertise in enterprise-grade AI and production automation can provide industrial innovation on a massive scale and can help companies increase automation, minimize waste, lower costs, and offer their own clients a better response time and customer experience.”
Virtually Mobile All the Way: The AI + IoT Roadmap for a 5G Future
IBM would leverage Verizon’s wireless networks, including Verizon’s 5G Ultra-Wideband (UWB) network, and Multi-access Edge Computing (MEC) capabilities. Verizon would also provide its ThingSpace IoT Platform and Critical Asset Sensor solution (CAS) to jointly develop new 5G-based IoT Edge networks with IBM.
These will be jointly offered with IBM’s market-leading Maximo Monitor with IBM Watson and advanced analytics. The combined solutions could help clients detect, locate, diagnose and respond to system anomalies, monitor asset health, and help predict failures in near real-time.
IBM and Verizon are also working on potential combined solutions for 5G and MEC-enabled use cases such as near real-time cognitive automation for the industrial environment.
Bob Lord, Senior Vice President, Cognitive Applications, Blockchain and Ecosystems, IBM says–
“The industrial sector is undergoing an unprecedented transformation as companies begin to return to full-scale operations, aided by new technology to help reduce costs and increase productivity. Through this collaboration, we plan to build upon our longstanding relationship with Verizon to help industrial enterprises capitalize on joint solutions that are designed to be multi-Cloud ready, secured and scalable, from the data center all the way out to the enterprise Edge.”
Verizon and IBM also plan to collaborate on potential joint solutions to address worker safety, predictive maintenance, product quality and production automation.
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