Ai Beyond Deep Learning A Conversation With Ryad Benosman Discover how ai is evolving beyond deep learning with cisco outshift. unlock powerful insights and strategies to stay ahead in the technology landscape!. See how cisco outshift built an ai platform engineer to boost productivity 10x, taking tasks like setting up ci cd pipelines from a week to under an hour.
Outshift Ai Beyond Deep Learning When i sat down with vijoy pandey, who leads outshift, i realized cisco isn’t simply preparing for the future of ai; they’re engineering the ground rules for how intelligent agents, networks. Outshift is the team behind panoptica, the company’s code to cloud security platform that made its debut last june. now, the team is focusing on artificial intelligence (ai) and quantum computing. Ai agents can work together, pass messages to each other, and have roles they fulfill, but they need a way to think together “so they operate as a single entity,” pandey says. “instead of thinking about ai as a single, individual intelligence, we need to think of it as collective intelligence.”. Outshift is cisco’s internal engine for building frontier technologies, but calling it “r&d” misses the point. it’s more like an independent startup studio operating inside a $200b tech company.
Outshift Ai Beyond Deep Learning Ai agents can work together, pass messages to each other, and have roles they fulfill, but they need a way to think together “so they operate as a single entity,” pandey says. “instead of thinking about ai as a single, individual intelligence, we need to think of it as collective intelligence.”. Outshift is cisco’s internal engine for building frontier technologies, but calling it “r&d” misses the point. it’s more like an independent startup studio operating inside a $200b tech company. Generative ai usage is expanding rapidly, and organizations want to tap into its full potential. outshift has been working on a solution to allow you to do just that. The solution leverages advanced ai ml techniques including natural language processing for request interpretation, machine learning for pattern recognition in system behaviors, and reinforcement learning for continuous improvement. By leveraging ai agents, knowledge graphs, and network digital twins (ndt), we successfully recreated and pre vented a real world network outage that had previously impacted swisscom’s customers. This podcast goes behind the scenes of enterprise ai in action, with execs sharing wins, failures, and what it really takes to scale. listen today and subscribe for latest episodes.
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