Accelerate Data Lake on Cisco Data Intelligence Platform with NVIDIA and Cloudera

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The Big Data (Hadoop) ecosystem has evolved over the years from batch processing (Hadoop 1.0) to streaming and near real-time analytics (Hadoop 2.0) to Hadoop meets AI (Hadoop 3.0). These technical capabilities continue to evolve, delivering the data lake as a private cloud with separation of storage and...

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Full Stack Observability Driving Customer Experience in a Multi-Cloud Environment

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Application is the Business & Level of Digitalization is the BrandIn our ever-changing world, where the application represents the business itself and the level of digitization it provides is directly related to the perception of the brand; enterprises must ensure they stand differentiated by providing exceptional user experience...

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Collaboration in the Age of AI: How Cisco is Pioneering the Use of AI and Emerging Technology Within Collaboration

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Artificial intelligence (AI) has become all the rage. Just the mere mention of it makes us think of hi-tech and some futuristic state that promises simplicity and instant knowledge. According to research from O’Reilly, engagement with artificial intelligence technology grew 58% last year.* Additionally, the global artificial intelligence...

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Building character towards future success

Why does someone become a fashion designer? Or a scientist, an investor, or entrepreneur – or all of the above? I don’t ever recall thinking I wanted to “be” this or that. I just wanted to do something. And then I looked up and discovered I had become...

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Cisco Announces Kubeflow Starter Pack

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Recently the Kubeflow Community released Kubeflow 1.0. Kubeflow brings together features such as TensorFlow, PyTorch, and other machine learning capabilities into a cohesive tool – from data ingestion to inferencing. Cisco is one of the top contributors to Kubeflow, helping to make operationalizing machine learning for large scale...

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AI for Networking: Separating the Hype from Reality

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Networks support explosive growth in traffic volume, connected mobile and IoT devices, and interconnected applications and microservices needed to deliver required services. Today’s networks generate massive amounts of data that exceed the ability of human operators to manage, much less understand. With unprecedented increases in network complexity and...

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The Not-So-New Role of the Engineer in Complex Change: Master of Transitions

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The Age of Intelligence is here, and Cisco is in the midst of a transition — again. This transition is driven primarily not by AI and machine learning, but by the voices of our customers and their need to consume technology in new ways and digitally transform their...

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Artificial Intelligence Translational Services Use Cases in Cisco Contact Centers

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Artificial Intelligence and Translational Services The world is flattening; thus, with the business becoming increasingly global, the existing language barriers demand new solutions across vertical markets, especially when dealing with a company to a consumer. Europe, with its 24 official different languages, is certainly posing some extra challenges...

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The Importance of the Network in Detecting Incidents in Critical Infrastructure

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The network plays a key role in defending critical infrastructure and IoT. The devices that we are connecting drive our business, enabling us to make smarter decisions and gain greater efficiency through digitization. But how do we ensure those connected devices are acting as intended? From an industrial...

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The Artificial Intelligence Journey in Contact Centers

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I would like to share some thoughts pulled together in discussions with developers, customer care system integrators and experts, along one of the many possible journeys to unleash all the power of Artificial Intelligence (AI) into a modern customer care architecture. First of all, let me emphasize what...

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