General AI

ARTIFICIAL INTELLIGENCE AT THE EDGE OF MANUFACTURING

November 1, 2021

ARTIFICIAL_INTELLIGENCE_AT
Robotics, automation, Internet of Things (IoT), and data are not new in manufacturing. Manufacturing is one of the most data-rich and first industries piloting artificial intelligence at the edge. It’s been estimated, however, that about  95% of all industrial data goes unused. The reason? Legacy equipment and operational systems that tend to be proprietary and siloed are incapable of communicating with each other.

Spotlight

Talari Networks

Talari is an innovator in next-generation SD-WAN (software-defined WAN) technology, enabling multi-site organizations to transform their remote and branch-office networks by intelligently allocating more bandwidth at less cost, while delivering superior QoS for greater business continuity, operational agility and application control.

OTHER WHITEPAPERS
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Powering the modern life insurance carrier with advanced AI and data

whitePaper | December 27, 2022

Welcome back to our white paper series about how to use AI and data throughout the new business and underwriting processes. In the first white paper we discussed the importance of product design and the benefits of using AI.

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The Industrialization of AI

whitePaper | September 15, 2022

No broad industry trend, not client/server computing, not affordable hardware, not even the cloud itself, promises to so completely reshape the enterprise than artificial intelligence (AI). Melding decades-old mathematical principles with cutting edge algorithms and readily available, high performance hardware, AI is creating a seismic shift in the way companies across all industries build, maintain, and understand their core and departmental business operations.

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Machine learning and artificial intelligence in a brave new world

whitePaper | December 22, 2022

Machine learning, one of the key building blocks of AI, has been a part of the technological world since the 1950s, when the earliest programmers asked computers to make sense of large sets of data. Programmers have increasingly refined the ability of machines to study data in order to detect patterns that allow computers to then organise information, identify relationships, make predictions and detect anomalies. Today, modern applications of AI have already given us self-driving cars and virtual assistants and have helped us detect fraud and manage resources like electricity more efficiently. Sectors as diverse as retail, sports, banking, manufacturing and healthcare have all found applications for machine learning and AI.

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Accelerate Digital Transformation with Low-Code/No-Code Automation

whitePaper | November 30, 2022

The first-generation low-code platforms required considerable adaptations and months of development in the late 1990s and early 2000s. Gartner expects that by 2024, low-code/no-code automation will account for 65% of all app development.

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A Beginners Guide to Conversational AI

whitePaper | September 22, 2021

The value of conversational AI is clear—meaning it’s time to take the next step and begin setting specific goals if you want to see real returns on your investment. Access this beginner’s guide to conversational AI to learn important industry terms and explore the questions you need to be asking as you explore different solutions.

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Enabling SASE with Juniper AI-Driven SD-WAN

whitePaper | November 23, 2022

The modern distributed workplace—including enterprises with thousands of branches and remote workers—requires updated approaches to cloud, networking, and security infrastructure. Cloud migration has opened the door to a huge increase in sophisticated applications, requiring networks that can carry traffic to an increasingly remote workforce. In turn, this creates a unique set of new requirements for security, including special capabilities to handle unpredictable locations of users, applications, and traffic flows.

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Spotlight

Talari Networks

Talari is an innovator in next-generation SD-WAN (software-defined WAN) technology, enabling multi-site organizations to transform their remote and branch-office networks by intelligently allocating more bandwidth at less cost, while delivering superior QoS for greater business continuity, operational agility and application control.

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