Cisco Systems Inc. provided positive numbers in its fiscal fourth-quarter results Wednesday, and there’s a story behind those numbers. The networking giant posted a modest revenue beat of $13.64 billion, $100 million more than consensus estimates. Gross margin, boosted by the acquisition of Splunk Inc., came in at a whopping 67.5%, the highest number for Cisco in 20 years. Product order growth rose 14% year over year, 6% excluding Splunk.
Contact-center-as-a-service provider Five9 Inc. broke the billion-dollar revenue run rate mark today as it posted second-quarter sales of $252.1 million, up 13% from a year ago and surpassing analysts’ expectations. Even more promising as it focused on larger customers, its enterprise subscription revenue grew 21%. Its adjusted profit of 52 cents also beat estimates.
Over the past two decades, the contact center industry has promised capabilities that will significantly improve customer experience. This is important because CX is now the top brand differentiator, with many consumers switching loyalties because of a single bad experience. Though it’s true that the contact center providers have delivered new capabilities such as omnichannel communications, self-service tools and more, consumer satisfaction with contact centers remains low.
Accenture Plc Tuesday announced the launch of the Accenture AI Refinery framework, developed on Nvidia Corp.’s new AI Foundry service. The offering, designed to enable clients to build custom large language models using Llama 3.1 models, enables enterprises to refine and personalize these models with their own data and processes to create domain-specific generative AI solutions.
There has been plenty of hype and ballyhoo around artificial intelligence and networking, but much of the vendor focus has been AI for networking, where AI is used to improve network operations. The other side of the AI coin is networking for AI, where a network must be designed and provisioned to support an AI implementation. Though many businesses will likely deploy AI in the cloud, making the supporting network the problem of the hyperscaler, 58% of respondents to a recent ZK Research/theCube Research study stated they have deployed or will be deploying AI in their own private data center.