AI/ML

What is Data Gravity? The term ‘Data Gravity’ was generated by Dave McCrory in 2010. In his blog post he asserted that, analogous to gravitational pull between objects in space, “. . . as data builds mass there is a greater likelihood that additional services and applications will be attracted to th…

Author: Siva Sivakumar – Senior Director, Data Center Solutions Data scientists constant search for newer techniques and technologies that can unlock the power of their data is leading them towards artificial intelligence (AI) and machine learning (ML) tools and methods. Consequently, this evolution…

  “Even when we’re about three years old working with Lego blocks, we want to do something different, we want to build something unique with our own hands.” It’s clear that from a young age Cisco Customer Experience’s Chief Architect, Dave Malik, had a knack for innovation, the process of…

Retail banks are taking artificial intelligence and machine-learning technologies and running with them. Armed with these tools, they’re adding speed and ease to banking and completely transforming the customer experience. Algorithms are churning out faster, more accurate credit decisions, speeding…

NOTE: Cisco Completed the acquisition of CloudCherry on October 11, 2019.  Welcome to the team! Improving customer experiences in real-time through the power of cloud data analytics Earlier this year I spoke to you about our vision of shaping the future of contact centers and the critical role that…

Assurance is a key function of Intent-Based Networking (IBN). It is responsible for validating that the network is actively satisfying the business intent and objectives set forth by the operator. Network Assurance involves three main aspects: continuous verification of system behavior by examining…

Enterprise networks generate a lot of data. A lot. Imagine a network with 6000+ access points, 10 wireless controllers, a data center, dozens of branch offices, and over 10,000 roaming wireless devices covering an area the size of a small city. Every AP collects telemetry on its operating environmen…

A recent study shows that, up to 85% of trained machine learning models are not deployed. Clearly, there needs to be a close collaboration among data scientists, line of business, IT, and others to ensure that data science projects succeed (instead of being just a science fair project). Yet, we cont…

A short time ago I had the opportunity to participate in the AI Partner and Customer events that we had in our Innovation Centers in Paris, London and Berlin. The excitement and interest of both our customers and partners was palpable. You might have seen some of the headlines in the news around Art…