Event: Tech Field Day 22

Appearance: Commvault Presents at Tech Field Day 22

Company: Commvault

Video Links:

• Vimeo: Commvault Disaster Recovery Updates
• YouTube: Commvault Disaster Recovery Updates

Personnel: Rahul Pawar

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, and GCP. Pawar then demonstrates the product and takes questions from the Tech Field Day delegates.

Event: Tech Field Day 22

Appearance: Commvault Presents at Tech Field Day 22

Company: Commvault

Video Links:

• Vimeo: Don Foster Introduces the New Commvault
• YouTube: Don Foster Introduces the New Commvault

Personnel: Don Foster

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, data governance, eDiscovery and compliance, and multi-protocol storage both on-premises and as SaaS.

Event: AI Field Day 1

Appearance: Intel Presents VAST Data at AI Field Day 1

Company: Intel, VAST Data

Video Links:

• Vimeo: Introduction to VAST Data LightSpeed: Storage Architecture for Machine Intelligence
• YouTube: Introduction to VAST Data LightSpeed: Storage Architecture for Machine Intelligence

Personnel: Howard Marks, Jeff Denworth

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 for AI applications and presents benchmarks for Nvidia DGX-A100 with VAST Data LightSpeed. He also presents a use case of AI imaging using LightSpeed. This session was sponsored by Intel.

Event: AI Field Day 1

Appearance: Intel Presents VAST Data at AI Field Day 1

Company: Intel, VAST Data

Video Links:

• Vimeo: Introduction to VAST Data Universal Storage
• YouTube: Introduction to VAST Data Universal Storage

Personnel: Jeff Denworth

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 SSDs, and persistent memory using Intel Optane SSDs. This session was sponsored by Intel.

Event: AI Field Day 1

Appearance: Intel Presents MemVerge at AI Field Day 1

Company: Intel, MemVerge

Video Links:

• Vimeo: Machine Learning Use Cases for MemVerge Memory Machine Software
• YouTube: Machine Learning Use Cases for MemVerge Memory Machine Software

Personnel: Yue Li

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 Transparent Memory Service. Next he presents inference with a large model and feature embeddings using Facebook’s DLRM as an example. He also uses image recognition as an example of leveraging MemVerge. Finally he discusses using persistent memory for instant model rollback or recovery.

Event: AI Field Day 1

Appearance: Cisco Presents at AI Field Day 1

Company: Cisco

Video Links:

• Vimeo: Cisco AL and ML for Endpoint Analytics and Detecting Spoofing Attacks
• YouTube: Cisco AL and ML for Endpoint Analytics and Detecting Spoofing Attacks

Personnel: JP Vasseur

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 stability. He then gives a sneak peek at what comes next: Detecting spoofing attacks with ML/AI. ML is an excellent tool for detecting anomalies, and Vasseur presents a specific mechanism to accomplish this using ML instead of complex rules.

Event: AI Field Day 1

Appearance: Cisco Presents at AI Field Day 1

Company: Cisco

Video Links:

• Vimeo: Advanced Endpoint Visibility with Cisco AI Endpoint Analytics
• YouTube: Advanced Endpoint Visibility with Cisco AI Endpoint Analytics

Personnel: Krishnan Thiruvengadam

Event: AI Field Day 1

Appearance: Cisco Presents at AI Field Day 1

Company: Cisco

Video Links:

• Vimeo: Cisco’s AI/ML Networking Journey
• YouTube: Cisco’s AI/ML Networking Journey

Personnel: JP Vasseur

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 spoofing detection. He also demonstrates Cisco AI Endpoint Analytics on Cisco ISE.

Event: AI Field Day 1

Appearance: Intel Presents Analytics Zoo at AI Field Day 1

Company: Intel

Video Links:

• Vimeo: Building Big Data AI Applications on Intel Analytics Zoo
• YouTube: Building Big Data AI Applications on Intel Analytics Zoo

Personnel: Jason Dai

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 (TxT) model leveraging HDFS, Apache Spark and MXNet, and Ray. Next, Dai discusses how SK Telecom’s time series based network quality prediction solution is able to run up to 6x faster using Analytics Zoo on Intel Xeon and presents a similar use case of wind power prediction using Analytics Zoo by GoldWind, which improved accuracy to 79% with a 4x training speedup. When it comes to computer vision, Dai presents industrial inspection by Midea and KUKA and AI-assisted radiology with Dell EMC. Finally, natural language processing (NLP) is presented, using a chatbot in Microsoft Azure and job recommendation engine in Talroo as examples.

Event: AI Field Day 1

Appearance: Intel Presents Analytics Zoo at AI Field Day 1

Company: Intel

Video Links:

• Vimeo: Intel Analytics Zoo Technical Overview and Case Studies
• YouTube: Intel Analytics Zoo Technical Overview and Case Studies

Personnel: Jason Dai

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 on the big data platform, giving the example of Burger King’s fast food recommendation engine which leverages an end-to-end training pipeline with RayOnSpark. Turning to the ML workflow question, Dai discusses how a scalable AutoML allows time series prediction, using the example of Tencent Cloud’s TI-One ML platform. Finally, Dai presents the Zouwu open source time series framework on Analytics Zoo.

Event: AI Field Day 1

Appearance: Intel Presents Analytics Zoo at AI Field Day 1

Company: Intel

Video Links:

• Vimeo: Intel Analytics Zoo: Software Platform for Big Data AI
• YouTube: Intel Analytics Zoo: Software Platform for Big Data AI

Personnel: Jason Dai

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 includes AI. After a brief case study, Dai presents the overall architecture of Analytics Zoo and discusses seamless scaling of analytics and AI from laptop to distributed big data.

Event: AI Field Day 1

Appearance: Intel Presents Analytics Zoo at AI Field Day 1

Company: Intel

Video Links:

• Vimeo: Intel’s Transformation for the Intelligence Era
• YouTube: Intel’s Transformation for the Intelligence Era

Personnel: Fadi Zuhayri

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 Intel. Intel’s analytics and AI strategy focuses on diverse hardware, software, and ecosystems from edge to cloud, providing a foundation for AI workloads. Next, he looks at Intel’s oneAPI which provides an abstraction layer to support any application or middleware on any hardware, and Intel DevCloud, which makes it easier to learn and develop software.

Event: AI Field Day 1

Appearance: Red Hat Presents at AI Field Day 1

Company: Red Hat

Video Links:

• Vimeo: AI/ML Customer Success Stories on Red Hat OpenShift
• YouTube: AI/ML Customer Success Stories on Red Hat OpenShift

Personnel: Abhinav Joshi

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.

Event: AI Field Day 1

Appearance: Red Hat Presents at AI Field Day 1

Company: Red Hat

Video Links:

• Vimeo: Operationalize ML Models with Red Hat OpenShift
• YouTube: Operationalize ML Models with Red Hat OpenShift

Personnel: Tushar Katarki

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.

Event: AI Field Day 1

Appearance: Red Hat Presents at AI Field Day 1

Company: Red Hat

Video Links:

• Vimeo: Speed Up AI/ML Projects with Red Hat OpenShift Hybrid Cloud Platform
• YouTube: Speed Up AI/ML Projects with Red Hat OpenShift Hybrid Cloud Platform

Personnel: Abhinav Joshi, Tushar Katarki

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.

Event: AI Field Day 1

Appearance: Red Hat Presents at AI Field Day 1

Company: Red Hat

Video Links:

• Vimeo: Red Hat AI/ML Market Trends, Desired Architecture, and Execution Challenges
• YouTube: Red Hat AI/ML Market Trends, Desired Architecture, and Execution Challenges

Personnel: Tushar Katarki

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.

Event: AI Field Day 1

Appearance: BrainChip Presents at AI Field Day 1

Company: BrainChip

Video Links:

• Vimeo: Live Demo of Audio and Visual Classification with BrainChip Akida
• YouTube: Live Demo of Audio and Visual Classification with BrainChip Akida

Personnel: Anil Mankar, Chris Anastasi

Anil Mankar, Co-Founder and Chief Development Officer, demonstrates audio and visual classification with the BrainChip Akida development board.

Event: AI Field Day 1

Appearance: BrainChip Presents at AI Field Day 1

Company: BrainChip

Video Links:

• Vimeo: Neural Networks Optimized to Run on BrainChip Akida Technology
• YouTube: Neural Networks Optimized to Run on BrainChip Akida Technology

Personnel: Anil Mankar

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 set and detecting volatile organic compounds. The next sense is taste classification using an “e-tongue”. Finally he presents somatosensory classification with an example of electric motor ball bearing fault diagnosis.

Event: AI Field Day 1

Appearance: BrainChip Presents at AI Field Day 1

Company: BrainChip

Video Links:

• Vimeo: BrainChip Akida Architecture and Evaluation Board Introduction
• YouTube: BrainChip Akida Architecture and Evaluation Board Introduction

Personnel: Anil Mankar

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 with all necessary supporting interfaces and an M-Class CPU. The chip is packaged in an M.2 PCIe form factor evaluation board and enables efficient processing of various sensor modalities, as demonstrated later in this session.

Event: AI Field Day 1

Appearance: BrainChip Presents at AI Field Day 1

Company: BrainChip

Video Links:

• Vimeo: Introducing the BrainChip Akida Event-Domain Neural Processor
• YouTube: Introducing the BrainChip Akida Event-Domain Neural Processor

Personnel: Anil Mankar

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 to reduce memory and bandwidth requirements yet still delivers accuracy in leading models.