Schneider Electric pushes the boundaries of AI with Edge computing – Back End News

In recent years, artificial intelligence (AI) has proven its ability to cross and serve multiple industries and business functions. Even amid the pandemic, the limitless possibilities have only increased for AI and machine learning (ML), giving businesses key insights that enable them to recognize user patterns, study their operational capabilities, improve sales forecasts, streamline communication, create personalized experiences, and more. After.

Given the increase in investment in AI, the Department of Commerce and Industry (DTI) of the Philippines – in its initiative to further push the country towards a more digitized future in which it is driving the ‘AI in the Asia-Pacific Region – launched the National Artificial Intelligence Roadmap in 2021. The AI ​​Roadmap aims to accelerate the use of AI in the country to advance the industrial development, strengthen entrepreneurship and provide more opportunities for Filipino talent.

“The growing interest in AI allows us to study the larger canvas of technology, where AI can alter the functionality of computers, transforming them into infinitely smarter devices, more capable of responding to changes in our mode. of life,” Abraham said. Lim, director of secure power at Schneider Electric Philippines. “With this breakthrough, many industries could soon leverage ML to speed up processes, improve efficiency, and reduce the effects of human bias.”

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In manufacturing, for example, warehouse robots are evolving and able to take on more tasks than ever before as computer vision and the software that guides them becomes more advanced.

Moreover, AI can also complement multiple sectors and industries. In fact, the Philippines aims to apply AI to several sectors, including real estate, banking and financial services, surveillance, retail and e-commerce, education, space exploration, agriculture. -industry, urban planning, manufacturing, health, logistics and transport.

AI functionality

For AI to be at its optimal level and its results to remain relevant, the transmission and computation of data is crucial. Therefore, CIOs need to ensure that data complexity and data silos can be mitigated and the right tools or platforms are in place before deploying AI.

If the transmission and storage of data are part of the journey, an equally important part is the processing of data and the space in which it takes place. Results from IBM’s 2021 Global AI Adoption Index found that nearly 90% of IT professionals said the ability to run their AI projects wherever the data resides is key to adoption of technology.

“That’s where edge computing comes in,” Lim said. “AI requires robust compute capabilities in the Edge environment for faster processing. With these capabilities, Edge data centers can focus on keeping data on-premises for faster processing, increased security and more efficient performance.

Edge computing pushes AI to do more

Edge computing provides much-needed speed for organizations that may be burdened with a large volume of raw data from AI. Processing is done on-site while the speed of the system allows for rapid output of analysis. Latency is greatly reduced, enabling real-time decision making.

In an industrial or large-scale environment, the availability of real-time decision making saves money and effort and reduces the occurrence of the most dreaded element: unplanned downtime. Accurate data also allows industrial players to predict machine failures and set up predictive maintenance without disrupting production capacities. On the other hand, the volume and nature of the data processed by each company are subject to security breaches, both physical and digital.

Device accessibility and compatibility is one of the biggest security risks in data centers where third-party plug-ins and IoT devices can mean more than just convenience. Edge Computing secures sensitive data at the furthest possible point on a company’s network. In short, Edge computing can also isolate and protect data.

Plus, with the speed, security, and convenience offered by Edge, businesses will be able to reach their customers faster, more accurately, and keep them engaged in relevant ways. With the power of AI processing, companies can gain a competitive advantage by engaging more precisely with their customers and anticipating their needs. And when combined with Edge, Edge AI can open up new possibilities for how businesses interact with their customers.

“These are just a few of Schneider Electric’s efforts around Edge, with the support of the Internet of Things (IoT) and AI, in two industries that have seen positive changes in the way they operate. doing business,” Lim said. “At Schneider Electric, our goal is to help our partners make their businesses run better through highly connected and resilient digital solutions.”

The future of AI

In a nutshell, the combination of AI and Edge computing leads to faster computing and insights, improved data security, as well as more efficient control of operations. There’s something even more exciting on the horizon. AI, which is already powered by Edge features, will receive a further boost for seamless operations with the rollout of 5G, which is among the most anticipated technologies in 2022.

Just imagine merging the ultra-high speed, high bandwidth, and enhanced connectivity of 5G with the accessibility, scalability, and intelligence of edge computing, plus the precision and predictability offered by the AI – Organizations will have a greater ability to respond to customer demands with actionable insights and focus on immediate value creation.

Sherry J. Basler