Simplifying Big Data AI with Intel Analytics Zoo

Event: AI Field Day 2

Appearance: Intel Presents at AI Field Day 2

Company: Intel

Video Links:

Personnel: Jason Dai

Applying machine learning to distributed big data analytics plays a central role in today’s intelligent applications and systems. These problem settings have pushed the field to address issues of data scale that were almost inconceivable to AI researchers even a decade ago. To address these challenges, Intel has open sourced Analytics Zoo (https://github.com/intel-analytics/analytics-zoo), which allows users to build and productionize end-to-end Big Data AI pipelines on large-scale Xeon clusters. In this talk, we will show how Analytics Zoo help real-world users (e.g., Burger King, Ant Group, etc.) build end-to-end Big Data AI solutions on Intel Xeon servers. Presented by Jason Dai, Intel Fellow and Chief Architect of Big Data AI, Intel.


Intel Graph Analytics & AI: An Efficient Way to Analyze Massive Datasets

Event: AI Field Day 2

Appearance: Intel Presents at AI Field Day 2

Company: Intel, Katana Graph

Video Links:

Personnel: Arijit Bandyopadhyay, Ramesh Peri, Roshan Dathathri

Graphs are playing a key role in big data analytics, providing insights in many domains through traditional graph algorithms and graph neural networks. As the size of these data sets increase, the computing power needed also increases and the software techniques to manage it becomes ever more critical. For example, there are Intel-based single node systems which can have up to 16TB of main memory with Optane DC PMM, large clusters of machines are available with thousands of cores, and specialized hardware for processing large scale graphs are being developed. Intel and Katana Graph are collaborating to produce an efficient and scalable graph analytics library that works across this wide variety of platforms.

Presented by Arijit Bandyopadhyay, CTO – Enterprise Analytics & AI and Head of Strategy – Cloud and Enterprise, Data Platforms Group, Intel Corporation, Ramesh Peri, Senior Principal Engineer at Intel Corporation, Intel’s Architecture, Graphics and Software Group, Intel Corporation, and Roshan Dathathri, Software Engineer, Katana Graph.


MemVerge Use Cases with Hazelcast

Event: AI Field Day 2

Appearance: MemVerge Presents at AI Field Day 2

Company: Hazelcast, MemVerge

Video Links:

Personnel: Dale Kim

Dale Kim, Sr. Director, Technical Solutions, Hazelcast, presents the combined solution from his company and MemVerge.


MemVerge Big Memory Workbench: Multi-Stage Analytics

Event: AI Field Day 2

Appearance: MemVerge Presents at AI Field Day 2

Company: MemVerge

Video Links:

Personnel: Yong Tian

Yong Tian, Director, Product Management, presents MemVerge Big Memory Workbench. This enables users to interact with big memory using a GUI, CLI, or REST API to eliminate expensive file I/O and enable big memory analytics.


MemVerge In-Memory Snapshot Deep Dive

Event: AI Field Day 2

Appearance: MemVerge Presents at AI Field Day 2

Company: MemVerge

Video Links:

Personnel: Yue Li

Yue Li, CTO, presents the MemVerge Memory Machine snapshot capability, putting it in context of challenges facing AI applications in the enterprise. He first presents the tiered memory allocation model and the use case for in-memory image recognition and virtualized servers. Then he discusses the potential for in-memory snapshots to support these applications, including the potential performance gains versus rebuilding data sets.


Big Memory Computing with the MemVerge Memory Machine

Event: AI Field Day 2

Appearance: MemVerge Presents at AI Field Day 2

Company: MemVerge

Video Links:

Personnel: Frank Berry

Frank Berry, Vice President of Marketing for MemVerge, presents the changing computing landscape. With today’s AI and big data analytics challenges, companies are at an inflection point and looking to add more memory capacity and features. This “big memory” challenge is what the MemVerge Memory Machine is intended to address.


The Future is Bright with BrainChip

Event: AI Field Day 2

Appearance: BrainChip Presents at AI Field Day 2

Company: BrainChip

Video Links:

Personnel: Anil Mankar

These are exciting times at BrainChip. Anil Mankar, Co Founder and Chief Development Officer, will highlight Brainchip’s proposed business models as well as highlight key areas of applications. Summarizing BrainChip activity with some key demonstrations of Akida in action and closing the session by addressing questions.


The BrainChip Advantage

Event: AI Field Day 2

Appearance: BrainChip Presents at AI Field Day 2

Company: BrainChip

Video Links:

Personnel: Anil Mankar

BrainChip is uniquely positioned with it’s Neuromorphic Processor to address low power functionality while processing at the Edge without dependency of communicating with the cloud. This capability enables BrainChip to address key beneficial AI applications such as detecting Volatile Organic Compounds (VOCs) through exhaled breath and accurately determining various diseases and viruses. Presented by Anil Mankar, Co Founder and Chief Development Officer, BrainChip.


Making Edge AI Possible with BrainChip

Event: AI Field Day 2

Appearance: BrainChip Presents at AI Field Day 2

Company: BrainChip

Video Links:

Personnel: Anil Mankar

Anil Mankar, Co Founder and Chief Development Officer, BrainChip, will discuss how to make AI at the Edge possible by leveraging BrainChip’s Akida Neuromorphic Processor and it’s capabilities. In this session Anil will highlight Facial Detection and Object Detection at the Edge.


Unlocking Dynamic AI On-Prem with Liqid

Event: AI Field Day 2

Appearance: Liqid Presents at AI Field Day 2

Company: Liqid

Video Links:

Personnel: George Wagner, Josiah Clark, Sumit Puri

Liqid CDI is built from the ground up to manage AI+ML workloads for maximum operational performance and footprint efficiency for accelerated time-to-value in AI+ML environments. Exponentially increase value of existing resources and deploy disaggregated resources for GPU-intensive AI+ML workloads. Learn how Liqid CDI can scale for multitenancy workloads and dominate the data center. Build a fully composable AI platform that can dynamically allocate resources for each stage of the AI workflow, from data ingest to cleaning and tagging, training to inference. Get under the hood of the Liqid Matrix CDI software platform and learn how it enables direct communication between GPUs, bypassing CPU for increased performance. Create ‘machine containers’ with Slurm, Kubernetes, and Vmware integration. Liqid Matrix CDI software and fabrics reduce costs, improve IT agility, and increase infrastructure flexibility to address evolving AI workloads driving innovation across industry verticals. Presented by Sumit Puri, CEO & Cofounder, Liqid.


Cloud Flexibility and Agility for AI HPC with Liqid

Event: AI Field Day 2

Appearance: Liqid Presents at AI Field Day 2

Company:

Video Links:

Personnel:


How Liqid Addresses Infrastructure Challenges Facing On-Prem AI

Event: AI Field Day 2

Appearance: Liqid Presents at AI Field Day 2

Company: Liqid, NVIDIA

Video Links:

Personnel: Josiah Clark

Liqid provides composable disaggregated infrastructure (CDI) solutions that optimize AI+ML operations by providing adaptive architecture that can manage resources like NVIDIA GPUs, intelligent networking, NVMe, and other accelerators. Liqid CDI software addresses the limitations of traditional on-prem infrastructure for AI such as limited GPU config options, limited change readiness of existing static architecture, and poor resource utilization. Agile CDI infrastructure can fully optimize the data flywheel to accelerate algorithm maturation. Presented by Josiah Clark, Chief AI Architect, Liqid.


Scality ARTESCA Introduction and Demo

Event: AI Field Day 2

Appearance: Scality Presents at AI Field Day 2

Company: Scality

Video Links:

Personnel: Brad King, Giorgio Regni, Paul Speciale

Scality has introduced ARTESCA, its new lightweight, cloud-native object storage solution into the market. In this session, we will provide an introduction to ARTESCA, and provide a demonstration of its application to the world of analytics, AI and ML – and how it can help developers of these applications to increase the value of their applications with multi-cloud functionality, metadata enrichment and search capabilities. Presented by Giorgio Regni, CTO, Scality, and Paul Speciale, CPO, Scality.


New applications for S3 Object Storage with Scality

Event: AI Field Day 2

Appearance: Scality Presents at AI Field Day 2

Company: Scality

Video Links:

Personnel: Paul Speciale

Object storage is already well-known for helping to solve growth challenges for large-scale data in the enterprise and within cloud service providers. Over the last decade, traditional deployments of object storage have exploited its advantages in scalability, low-cost and data immutability. This has helped to solve the need to store 100s of Terabytes to Petabytes of data in a reliable and cost-effective way for long-term storage such as for archival requirements. Now, a new breed of big data analytics applications has now emerged that is embracing object storage for much more performance-intensive active data workloads. This dramatically expands the use-cases for object storage into domains where traditional Tier1 storage systems were employed. This session will explore popular applications in the world of analytics, AI and Machine Learning and how they have embraced the popular Amazon S3 API and object storage to help solve these new and emerging problems. Presented by Paul Speciale, Chief Product Officer, Scality.


Real-World AI Deployments at Scale with Scality

Event: AI Field Day 2

Appearance: Scality Presents at AI Field Day 2

Company: Scality

Video Links:

Personnel: Brad King

AI and Machine Learning is a hot and buzzy topic, not a week goes by without stories about its potential to change business processes and everyday lives. But what is the reality of AI in the enterprise today, how is it being employed in industries such as healthcare, banking and the travel services industry? This session will explore several current real-world examples of practical applications and deployments within a big data context, what problems customers are solving, and how they tackle the massive scale data challenges that come along with them. Presented by Brad King, Field CTO, Scality.


Data Center Automation in Action: Juniper Apstra Highlights Demonstration

Event: Networking Field Day 25

Appearance: Juniper Networks Presents at Networking Field Day 25

Company: Apstra, Juniper Networks

Video Links:

Personnel: DJ Spry

DJ demonstrates highlights of an operational journey in Apstra. The journey will include enabling applications, removing applications, identifying issues, and looking at analytics data to solve day-to-day networking issues in a few, fast steps. See how Intent Time Voyager can rollback the entire network and how Apstra’s intuitive GUI and dashboards gives the full picture of wellness for your data center network.


Integrate the Operations Demonstration: ServiceNow, Slack and Ansible with Juniper Apstra

Event: Networking Field Day 25

Appearance: Juniper Networks Presents at Networking Field Day 25

Company: Apstra, Juniper Networks

Video Links:

Personnel: Calvin Remsburg

With the power of intent-based solutions like Apstra, data center network operators are focusing their automation efforts on driving operational savings with custom workflows. In this session, Calvin showcases how network automation can act as the adhesive that connects the network to other solutions within your business.


Juniper Apstra Integration with VMware NSX-T Demo 

Event: Networking Field Day 25

Appearance: Juniper Networks Presents at Networking Field Day 25

Company: Apstra, Juniper Networks

Video Links:

Personnel: Josh Saul

Overlay networks like VMware NSX-T help manage your workloads but also add another layer of complexity for administration and troubleshooting. Josh shows how Apstra’s deep NSX-T integrations provide the perfect data center fabric for your VMware workloads with functionality for automated fabric setup for new port groups in NSX-T and a way to locate VMs in the fabric.


Managing Connections to Servers, Applications and Services in Data Center Day 2 Operations with Juniper Apstra

Event: Networking Field Day 25

Appearance: Juniper Networks Presents at Networking Field Day 25

Company: Apstra, Juniper Networks

Video Links:

Personnel: Claire Delcourt

Claire demos two features in Apstra that help operators with Day 2 operations: connectivity templates and tagging. Connectivity templates allow data center teams to pre-provision and bulk-assign downstream connectivity to servers, firewalls, and other systems. Tags enable them to add metadata to devices for activities like documenting and grouping servers or running analytics for a specific group of devices or links.


Automated Data Center Interconnect (DCI) Demo with Juniper Apstra

Event: Networking Field Day 25

Appearance: Juniper Networks Presents at Networking Field Day 25

Company: Apstra, Juniper Networks

Video Links:

Personnel: Jeff Tantsura

Juniper Apstra uses advanced automation to enable users to quickly and easily interconnect data centers. Jeff demonstrates how our intent-based networking approach simplifies EVPN data center interconnect (DCI) design, build, deployment, and operations with minimal set up steps.


« Previous Page
Next Page »