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 […]
Introducing Big Memory Computing, MemVerge, and Memory Machine Software
Charles Fan, Co-Founder and CEO, introduces MemVerge in the context of big memory computing and memory machine software. In today’s computer, applications run in DRAM but store data in storage systems, but this presents challenges for today’s big data applications. MemVerge focuses on big memory computing, allowing applications to run in both DRAM and persistent […]
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 […]
Intel Analytics Zoo Technical Overview and Case Studies
Jason Dai, Senior Principal Engineer, gives a deeper technical overview of Intel’s Analytics Zoo, an open source software platform for big data AI. Analytics Zoo uses distributed TensorFlow/PyTorch on Apache Spark, and Dai discusses how it is used in network quality prediction by SK Telecom. Next he focuses on RayOnSpark to run Ray programs directly […]
Intel Analytics Zoo: Software Platform for Big Data AI
Jason Dai, Senior Principal Engineer, presents Intel’s Analytics Zoo, a software platform for big data AI. Just as BigDL enables distributed, high-performance deep learning, Analytics Zoo is a unified big data AI platform for TensorFlow, PyTorch, Keras, BigDL, OpenVINO, Ray, and Apache Spark. This open source project reflects the transformation of big data, which now […]
Intel’s Transformation for the Intelligence Era
Fadi Zuhayri, Sr. Director, Big Data AI, introduces Intel’s transformation for the the intelligence era. He begins with some background, as compute democratization has brought technology to the exascale era. He also presents the drivers for transformation, 5G, artificial intelligence (AI), and the intelligent edge, and how these have driven the technology pillars addressed by […]
AI/ML Customer Success Stories on Red Hat OpenShift
Abhinav Joshi, Senior Manager, Product Marketing, OpenShift Business Unit, explains how organizations globally have achieved key business goals by operationalizing AI/ML projects on Red Hat OpenShift, broader portfolio, open source technologies and partner ecosystem.
Operationalize ML Models with Red Hat OpenShift
Tushar Katarki, Senior Manager, Product Management, OpenShift Business Unit, discusses how companies can leverage DevOps capabilities in Red Hat OpenShift (industry leading Kubernetes platform) to operationalize ML models into production.
Speed Up AI/ML Projects with Red Hat OpenShift Hybrid Cloud Platform
Abhinav Joshi, Senior Manager, Product Marketing, OpenShift Business Unit, presents the value of containers, Kubernetes, and DevOps powered Red Hat OpenShift (industry leading Kubernetes Platform), broader portfolio, open source AI/ML tooling, and a broad AI/ML ISV and infrastructure ecosystem to help solve them.
Red Hat AI/ML Market Trends, Desired Architecture, and Execution Challenges
Tushar Katarki, Senior Manager, Product Management, OpenShift Business Unit, presents the AI/ML use cases across industries, desired capabilities in the end to end solution architecture, and potential execution challenges with operationalizing AI/ML at scale.
Live Demo of Audio and Visual Classification with BrainChip Akida
Anil Mankar, Co-Founder and Chief Development Officer, demonstrates audio and visual classification with the BrainChip Akida development board.
Neural Networks Optimized to Run on BrainChip Akida Technology
Anil Mankar, Co-Founder and Chief Development Officer, presents the various neural networks optimized to operate on the BrainChip Akida processor. He begins with auditory classification, discussing keyword spotting in an always on microphone. He then presents visual processing, using person detection as an example. Next he discusses olfactory detection using the Fox 3000 olfactory data […]
BrainChip Akida Architecture and Evaluation Board Introduction
Anil Mankar, Co-Founder and Chief Development Officer, provides a tour of the BrainChip Akida NPU architecture and IP solution. He also discusses the Akida software development environment (ADE) and training workflow before turning to a presentation of the first Akida based products. The AKD1000 NSoC is a chip that incorporates an Akida Neuron fabric along […]
Introducing the BrainChip Akida Event-Domain Neural Processor
Anil Mankar, Co-Founder and Chief Development Officer, introduces the BrainChip Akida ultra low power edge AI solution. He begins with a discussion of the event-based architecture of the Akida technology, and how it addresses the challenges of edge computing. The Neuromorphic design enables distributed computation and event-based processing, communication, and learning. Akida utilizes low-bit precision […]
Aruba AIOps Innovation: A Glimpse into the Future
In this interactive session, Bernd Bandemer, Director, Data Science, discusses what AI brings in the future, where Aruba is focused, and what value their customer’s IT teams and user community can expect.