Enabling the Intelligent Edge for Industrial Applications
Brought to you by Intel Corporation
Explore the Industrial Intelligent Edge
This 7-part webinar series details its capabilities and business impacts and reviews the exciting use cases that truly show IOT 4.0 at scale.
The majority of today’s industrial manufacturing facilities use technology designed around standards 50 years old. This architecture is fragmented, proprietary, and highly inflexible for what’s needed by manufacturers today. Intel is at the forefront of designing and implementing new architectures with industry partners, leveraging its compute and connectivity architectures to define a new compute category with our platform partners. We define this category as the Intelligent Industrial Edge Platforms. These platforms enable workload consolidation at scale for legacy systems, AI, 5G, scalable and improved security, enabling reduced time to market.
Want to learn more on the Intelligent Edge?
Conversations on Edge AI:
Seven Takeaways from A3’s Intelligent Edge Webinar Series With Intel Corporation
View webinars on demand from the 2022 Intelligent Edge for Industrial Applications series
Driving Sustainability and Profitability Through Digital Transformation
Corporate efforts to fight climate change and create more sustainable processes were once thought of as a “nice to have” checkbox, but a growing number of companies are now finding value and profitability through such efforts, which also happen to provide a greater good for the planet. While companies taking a more altruistic approach to the problem is one of the contributing factors, so are digital transformation efforts that provide a balance between becoming more sustainable and finding optimizations that improve the bottom line. READ MORE
How Companies Can Use Open Standards to Drive Industrial Control Transformation
As companies look to adopt an Industry 4.0 approach to their industrial control systems and operations, they are increasingly looking to open, interoperable and portable technologies to help upgrade or replace their legacy systems. Pressures from internal stakeholders to transform and drive value from investments, as well as how to future-proof an industrial transformation, are driving operations managers to look at innovative systems based on standards. READ MORE
Education and Collaboration are Keys to Success for Software-Defined Controls Transformation
Like many technologies, industrial control systems are undergoing a digital transformation that moves proprietary hardware systems to a software-defined infrastructure, which opens up new levels of flexibility, innovation, and interoperability like never before. In order for manufacturers to take advantage of innovations around artificial intelligence and machine learning, for example, their control systems need to be flexible enough through a software-defined approach. READ MORE
Connectivity is Key for Success at the Industrial Edge
Across the manufacturing landscape, innovations in connectivity, computing infrastructure and controller interoperability are transforming the way companies can get more value from their existing equipment to improve efficiency and operations. But in many cases, manufacturing facilities are bogged down by proprietary automation and control systems, legacy equipment and outdated approaches to data collection and integration. READ MORE
Deploying AI at the Edge: From Operation to Automation
As companies increase the use of automation technologies in their factories, warehouses and other locations, they recognize the need for artificial intelligence technologies (such as machine vision to inspect for defects) that can guide decisions in real time. But in practice, companies are finding that cloud-based AI technologies are taking too long, and they need to move this decision-making process to the edge of the network. READ MORE
Managing Industrial Data To, From and Between the Cloud and the Edge
Modern production operations rely more on integrated data and computing power from the cloud. Yet, most legacy industrial solutions are built on siloed, proprietary, and generally inflexible systems that make retrieving data to send to the cloud for processing difficult. Adding to the complexity are new processes that require faster processing at the edge, which could mean former processes that were handled in the cloud now need to be managed closer to the devices producing the data. READ MORE
How Data, the Edge and Cloud are Transforming Manufacturing
Across the manufacturing landscape, innovations in connectivity, computing infrastructure and controller interoperability are transforming the way companies can get more value from their existing equipment to improve efficiency and operations. But in many cases, manufacturing facilities are bogged down by proprietary automation and control systems, legacy equipment and outdated approaches to data collection and integration. READ MORE