Recently, Wipro rolled out three edge artificial intelligence starter solutions powered by Intel Xeon Scalable processors. The starter solutions will assist businesses in the energy, utilities and healthcare markets in terms of adoption. Such sectors produce an abundance of data yet do not leverage the power of AI to their potential. Using Intel’s AI technology, Wipro will enhance its solutions. In the past, there has been a lack of knowledge and clarity on the applications of artificial intelligence across different industries.
How Intel Will Add Value to Wipro’s AI Solutions
In a statement, Wipro said its engineering services offerings are aiming to create immense value for various global enterprises by creating innovative customer experiences, personalising products, platforms and technologies for new markets, integrating next-generation technologies, facilitating faster time to market and ensuring global product compliance. For this, the company considered partnering with Intel’s for its Edge-AI specific hardware.
Wipro is a member of the Intel AI Builders program, an ecosystem of industry-leading independent software vendors (ISVs), system integrators (SIS), original equipment manufacturers (OEMs), and enterprise end-users with a shared mission to accelerate the adoption of artificial intelligence across Intel platforms.
With Intel Xeon Scalable processors and the Intel Distribution of OpenVINO toolkit, Wipro's edge solutions will enable customers to take advantage of reduced power consumption and performance improvement. This is a great example of the convergence of IoT and AI, which can be used to make processes easier for business processes. The use cases for edge-based AI solutions can be many and can be customisable as per each customer’s specific needs.
What Edge AI Brings To The Table
AI computing needs high levels of data processing and conventional AI systems function by transmitting data to a cloud server to be processed. Insights about the data and the decisions to be taken by the system are then transmitted back to connected devices. This approach works fine but for the rapidly increasing number of IoT devices, this is not ideal. There are issues both with the processing power, cloud connectivity and battery capacities in the mobile devices. While connected devices are not ideal to support large data crunching, sometimes they are designed for purposes that need insights in real-time, such as in self-driving cars or in anomaly detection systems. What edge AI brings to the table is that devices process data locally and make real-time operating decisions. In addition to being faster and more secure, edge AI can also help reduce power consumption.
Intel Hardware Will Process IoT Data At The Edge
As there is a large presence of IoT devices in core sectors, it is also imperative that such data is processed in real-time at the edge of the network in order to optimise processes. This can eliminate the need for manual intervention for machinery failures or anomaly detection. Pipe Sleuth is one such automated anomaly detection solution introduced by Wipro. The solution has been created to get rid of manual review of video scans of utilities pipeline infrastructure. It leverages AI to automatically process video scans and detect and score all the various kinds of pipe segments.
Use Cases Of Wipro and Intel’s Partnership
DC Water is a company operating out of the US and provides retail water and sewage services. The job is a dirty one where manual review of the pipes can be extremely difficult. The company was an ideal candidate to leverage AI to solve its woes. The company is one of the first ones to deploy Wipro’s Pipe Sleuth solution. Pipe Sleuth is one of the AI solutions that came of the Wipro-Intel partnership, and is transforms how the sewer pipeline network is inspected by DC Water. The innovative solution dramatically increases inspection productivity and significantly reduces costs while at the same time improves the overall defect detection rate. “Having the option to run Pipe Sleuth on our existing Intel-based platforms was an added benefit,” reports Tom Kuczynski, vice president, Information Technology, DC Water.
Another such solution is Surface Crack Detection, which makes use of AI to detect and label cracks in infrastructure like buildings, roads, pavement, and bridges. For the healthcare industry, Medical Imaging is one solution introduced by Wipro. Leveraging Xeon processors again, the solution uses AI to recognise anomalies in medical scans such as X-Rays and CT scans. The solution automatically highlights certain conditions in scans and labels them in images.
In industries where there is a large scope for making processes efficient, AI can play a great role. In addition, industries like healthcare and energy collect a large pool of data as there is a large prevalence of connected devices in there. Intel has been looking to help enterprises leverage its wide portfolio of Edge AI-specific hardware across verticals like Intel Xeon, Intel Movidius, Myriad X VPU and Intel OpenVINO toolkit, etc. Wipro’s integration has strengthened the case for using Intel hardware in creating such AI models.
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Vishal Chawla is a senior technology journalist at Analytics India Magazine, and writes on the latest trends in the world of analytics, AI and other digital technologies. Prior to Analytics India Magazine, he was a senior correspondent for IDG ComputerWorld and CIO India. Vishal can be reached at firstname.lastname@example.org