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Why Secure Networks are the key to a Successful AI-Powered Factory

Dec, 05, 2024 Hi-network.com

AiOps plays a major role in the uptime and innovation of a manufacturer.

I recently recorded a webinar delving into how manufacturers can enhance their speed, precision, process optimization and cybersecurity using AI-native IT solutions. The discussion offered valuable insights into the future and best practices of AI in the manufacturing industry. In this session, Paul Didier and I have an interactive discussion on network ops, AI in applications and AI's role in industrial cyber security. View the webinar here and see below for the top takeaways.

  1. In deploying AI in manufacturing, it's best to be open to both predictive AI as well as generative AI, as they both serve different purposes. While generative AI may cause you to look at your compute capabilities to handle those new work loads, predictive AI is heavily dependent on connectivity across systems and devices and both require a high degree of data integrity.  Cisco brings predictive AI to all networking environments.
  2. Cyber security has become ever more important as additional data is collected and distributed to compute environments. Detecting and learning from suspicious traffic patterns is central  to an AI cyber security system and Cisco's cyber security for industrial systems takes these capabilities to new levels.
  3. When you combine all the AI capabilities of Cisco's networking and cyber security tools, you deliver new levels of productivity to manufacturing by making the network contribute to uptime and availability in processes and day-to-day operations.

The future of AI will change the way people work and how business gets done.  Generative AI will be central to that and only AI ready compute, networking, and data centers will be able to handle this new level of workloads.  Cisco has the end-to-end AI data center solutions to deliver this hyper connected enterprise while providing the native compute, cyber security and observability tools to manage AI projects at scale.

See the use cases that AI is enhancing in manufacturing with Cisco's Portfolio Explorer for Manufacturing.


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