Jeff Harbert, Director, Technical Services Programs, presents Commvault’s recovery readiness solutions. Recovering from a catastrophic data loss or data-compromising event requires a plan, and Commvault’s Readiness Solutions help prepare companies to return to operations. Harbert discusses Commvault’s readiness approach and takes questions from the Tech Field Day delegates.
Commvault Disaster Recovery Updates
Rahul Pawar, VP, Product Management, introduces the expanded Commvault portfolio of disaster recovery products. Disaster Recovery is a new product in the Commvault portfolio, providing a simple, flexible, powerful, scalable, and intelligent disaster recovery solution for businesses. It addresses the modern hybrid and multi-cloud enterprise, supporting common platforms like VMware and clouds like Azure, AWS, […]
Don Foster Introduces the New Commvault
Don Foster, Global VP, Sales Engineering, introduces the new Commvault in 2020. Commvault has responded to multi-cloud, cloud-native, automation, DevOps, and changing IT economics to build an intelligent data management portfolio. The goal is to provide data awareness, agility, and automation through Commvault products, from backup & recovery and disaster recovery to file storage optimization, […]
Introduction to VAST Data LightSpeed: Storage Architecture for Machine Intelligence
Jeff Denworth, CMO, introduces VAST Data LightSpeed, a storage platform for next-generation AI applications. The LightSpeed platform is designed to enable any platform to gain maximum performance via a single NFS mount point. NFS over RDMA can exceed multiple gigabyte per second performance using nconnect multipath. Denworth then discusses the need for high-speed NFS storage […]
Introduction to VAST Data Universal Storage
Jeff Denworth, CMO, introduces VAST Data’s universal storage product. It is designed to be a universal data platform for all applications, with all-NVMe performance, tier-5 cost efficiency, and exabyte scale for NAS and object storage. It is built on a modern foundation with disaggregated storage networking using NVMe-over-Fabrics, revolutionary flash economics using Intel QLC NAND […]
Machine Learning Use Cases for MemVerge Memory Machine Software
Yue Li, Co-Founder and CTO, presents AI applications for MemVerge Memory Machine software. He begins with training using large memory, showing that DRAM can be combined with Intel Optane Persistent Memory (PMEM) to provide large memory capacity with DRAM-like speed. He uses GraphSAGE as an example of machine learning on a large graph with MemVerge […]
Cisco AL and ML for Endpoint Analytics and Detecting Spoofing Attacks
JP Vasseur PhD, Cisco Fellow and head of ML and Data Science engineering, presents an advanced use case for machine learning in network security. He discusses clustering using machine learning and how Cisco can measure the efficacy of the results in terms of purity, percentage of unassigned, number of clusters, speed of unknowns resolution, and […]
Advanced Endpoint Visibility with Cisco AI Endpoint Analytics
Krishnan Thiruvengadam, Technical Marketing Engineer, discusses advanced endpoint visibility using Cisco’s AI Endpoint Analytics. After discussing the benefits and challenges of network visibility, Thiruvengadam presents Cisco’s next-generation endpoint visibility capability with AI-driven analytics and deep packet inspection. It provides high-fidelity profiling, improved classification, and better workflows with integration with third-party products.
Cisco’s AI/ML Networking Journey
In this presentation, JP Vasseur PhD, Cisco Fellow and head of ML and Data Science engineering, presents the journey of Cisco’s AI applications from 2013 to 2020. This journey began with self-learning networks, then proceeded to AI network analytics for wireless automated detection and root cause analysis, and now to ML-based security classification and behavioral […]
Building Big Data AI Applications on Intel Analytics Zoo
Jason Dai, Senior Principal Engineer, discusses practical applications of Intel’s Analytics Zoo, an open source software platform for big data AI. This presentation focuses on four applications: Recommendation, time series analysis, computer vision, and natural language processing. His first example is the food recommendation engine used by Burger King, which uses a transformer cross transformer […]