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Webex Advances Connected Intelligence with AI-Powered Collaboration, Podcast

 
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Manage episode 511475572 series 2674324
Inhalt bereitgestellt von Telecom Reseller. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Telecom Reseller oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
“Two, three, five years from now, the workforce could easily be people working with people, people working with AI, and maybe even AI working with AI,” said Amit Barave, VP of Product Management for Webex. At WebexOne, Barave joined Doug Green, Publisher of Technology Reseller News, to discuss Cisco’s vision for Connected Intelligence and how Webex is positioning AI not as a replacement, but as a workforce enhancer. Barave explained that Webex’s new AI Agents are designed to eliminate everyday productivity gaps—capturing meeting notes, recommending attendees, or automating follow-up actions—while keeping human creativity and judgment at the center. “These are tools built for those ‘I wish I had done this’ moments,” he noted. The Webex AI strategy rests on three pillars: AI at the Edge – enabling low-latency, privacy-conscious responses. AI in the Cloud – delivering high-performance compute and complex inference. AI in Control – simplifying management, troubleshooting, and service assurance. Barave also emphasized Webex’s commitment to an open ecosystem, ensuring seamless integration with enterprise applications, workflows, and vertical software systems. This approach, he said, helps enterprises and partners future-proof their collaboration strategy in a rapidly evolving AI landscape. “From just being a calling and meetings platform, Webex Suite has become an AI-powered conversations and communications platform for the enterprise,” Barave said. “That makes it a compelling choice for customers and partners alike.” More at Webex.
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52 Episoden

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Manage episode 511475572 series 2674324
Inhalt bereitgestellt von Telecom Reseller. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Telecom Reseller oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
“Two, three, five years from now, the workforce could easily be people working with people, people working with AI, and maybe even AI working with AI,” said Amit Barave, VP of Product Management for Webex. At WebexOne, Barave joined Doug Green, Publisher of Technology Reseller News, to discuss Cisco’s vision for Connected Intelligence and how Webex is positioning AI not as a replacement, but as a workforce enhancer. Barave explained that Webex’s new AI Agents are designed to eliminate everyday productivity gaps—capturing meeting notes, recommending attendees, or automating follow-up actions—while keeping human creativity and judgment at the center. “These are tools built for those ‘I wish I had done this’ moments,” he noted. The Webex AI strategy rests on three pillars: AI at the Edge – enabling low-latency, privacy-conscious responses. AI in the Cloud – delivering high-performance compute and complex inference. AI in Control – simplifying management, troubleshooting, and service assurance. Barave also emphasized Webex’s commitment to an open ecosystem, ensuring seamless integration with enterprise applications, workflows, and vertical software systems. This approach, he said, helps enterprises and partners future-proof their collaboration strategy in a rapidly evolving AI landscape. “From just being a calling and meetings platform, Webex Suite has become an AI-powered conversations and communications platform for the enterprise,” Barave said. “That makes it a compelling choice for customers and partners alike.” More at Webex.
  continue reading

52 Episoden

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