AiOps plays a critical role in manufacturers’ uptime and innovation.
I recently recorded a webinar exploring how manufacturers can use AI-based IT solutions to improve speed, precision, process optimization, and cybersecurity. This discussion provided valuable insight into the future and best practices of AI in the manufacturing industry. In this session, Paul Didier and I led an interactive discussion on the role of AI in network operations, AI in applications, and industrial cybersecurity. Watch the webinar here and see highlights below.
- When deploying AI in manufacturing, it is best to be open-minded about both predictive AI and generative AI, as they both serve different purposes. While generative AI allows us to look to computing power to handle these new workloads, predictive AI relies heavily on connectivity across systems and devices, both of which require high levels of data integrity. Cisco brings predictive AI to every networking environment.
- As more data is collected and distributed across computing environments, cybersecurity becomes more important. Detecting and learning about suspicious traffic patterns is at the heart of AI cybersecurity systems, and Cisco’s Cybersecurity for Industrial Systems takes these capabilities to a new level.
- Combining all the AI capabilities of Cisco networking and cybersecurity tools can deliver new levels of productivity to manufacturing by enabling the network to contribute to the uptime and availability of processes and daily operations.
The future of AI will transform the way people work and how business is conducted. Generative AI will be at the center of it all, and only AI-enabled computing, networking, and data centers will be able to handle this new level of workload. Cisco has end-to-end AI data center solutions that deliver the hyper-connected enterprise while providing foundational compute, cybersecurity, and observability tools to manage large-scale AI projects.
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