Intel’s new report, “The Edge Outlook,” identifies edge computing as a critical factor that businesses must harness to successfully navigate and understand data both now and into the future. 

Why It Matters: Technology use has grown exponentially during the pandemic, generating new, unprecedented volumes of critical business data. This data will be central to the digital transformation of many businesses, but many organizations are facing very real data processing challenges. For example, it’s impractical to send the sheer volume of data now being created back to the cloud for processing due to latency issues. 

This is where edge computing can play a critical role in driving efficiencies and underpinning the future growth of the business. 

 

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The rate at which the world is changing is exacerbated by the global pandemic, climate crisis, and rising sociopolitical tensions. Alongside this, our reliance on data is soaring — trillions of minutes are processed on video platforms per month. Businesses need this data readily available to drive real-time innovation. 

This data explosion has sparked urgency amongst businesses looking to maximize their use of technologies such as artificial intelligence (AI), edge computing, and 5G communications. Business leaders are waking up to the infrastructure demands of these technologies and the role edge computing can play in driving competitive advantage via accelerated digital transformation. 

What the Report Says: The paper provides insight into the now, new, and next of edge computing across key industries. In short, the edge is where businesses can turn ambitious plans into reality. Businesses are realizing that the edge is integral to unlocking future innovations — 76% say that identifying “the ideal location” for the data process is a challenge. 

This report offers guidance to IT leaders on how to use edge computing to drive operational efficiencies, create new products and open new revenue streams using real-world success stories. 

Alongside practical advice from digital pioneer and AI scientist Inma Martinez, the report reveals why businesses can no longer afford to ignore the edge. “Data has always been a cornerstone of civilization, even going back to the Bronze Age. The edge makes possible a world where all of a sudden, every single object has the potentiality for information – information that can be extracted and used in real-time.”

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With the edge set to transform every aspect of life and business, businesses must embrace collaboration and leverage ecosystems that allow them to capitalize on all their opportunities. Edge computing is already bringing digital services to the next frontier, working in synergy with critical technologies like AI and 5G. Among Intel customers alone, there are now over 24,000 edge deployments generating real business value, helping companies grow and innovate in this new era of distributed intelligence.

About the Key Insights: 

 

Intel Newsbyte - Edge Computing Drives Business Innovation

 

Retail: Data analyzed at the edge corrects massive amounts of inventory distortion, while making supply chains and product development incredibly efficient. The edge is providing retailers with real-time consumer behavior analysis, empowering them to deliver more personalized experiences. Intel customer WonderStore’s shop window conversion rate improved by nearly 17% since deploying edge technologies.

Industrial: AI-based robotics are being used to perform repetitive and potentially hazardous tasks with greater speed and accuracy than humans. Machine vision is also being used to validate features and check for defects, helping to deliver the highest-quality product possible. These edge deployments helped Intel customer Audi boost weld inspection speed by 100 times with just 18ms of latency.

Healthcare: Edge computing is helping to deliver a higher quality of care and clinical efficiency by enabling frequent patient monitoring and data collection, integration with electronic health records, and AI-powered patient data analysis. The deep-learning inference is used in image-based diagnostics to speed the detection of health issues and save lives. 

Telecommunications: Driving network and operational efficiency, machine learning can help telecom operators increase network and operational efficiency to meet rising service level expectations while simultaneously reducing costs. With AI and analytics-based engines, operators gain the ability to intelligently manage 5G networks to achieve key network KPIs, network automation, energy savings, and operational flexibility to serve a wide variety of 5G and edge use cases.