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.
Aruba UXI: An Introduction to AI Alerts
Fouad Zreik, UXI Product Management, gives a view into how Aruba uses AI to tame the alert fatigue and user experience issues related to site specific web and cloud applications. The presentation includes a look at the UXI interface and discussion regarding the benefits of dynamic thresholds.
Saving IT Time with Aruba AIOps: Use Cases
Sri Venkiteswaram, Director, Product Management, Aruba Central, gives an overview of how AI Insights in Aruba Central is evolving and how IT has improved their ability to quickly resolve issues related to user specific issues, outdoor clients, transmit power mismatches, WAN gateway issues, and wireless coverage holes. This presentation includes a demonstration of Aruba Central.
Data as the Foundation for Effective AIOps with Aruba
Jose Tellado, AIOps Chief Technologist, PhD, and HPE Fellow, gives an in-depth look at the importance of usable data, models and training, dynamic baselines for customer specific Wi-Fi/WAN/switch problem solving, and optimization guidance via peer comparisons.
Full-Service AIOps with Aruba ESP
In this interactive discussion, Ash Chowdappa, SVP & GM, Engineering, presents the Aruba vision for AIOps. The discussion focuses on how Aruba ESP and AIOps spans the entire Aruba portfolio, from wireless to switching, WAN, security, and User Experience Insight, for greater IT efficiency.
Risk Profiling with Juniper, Driven by Mist AI
Risk Profiling ensures a reliable and secure AI-driven enterprise network architecture for the next decade. Krystle Portocarrero, Product Manager, discusses how Juniper is using Mist AI to address the challenges of cyber security risk with Juniper Advanced Threat Prevention (ATP). She then discusses AI-driven risk profiling, which combines real-time actionable threat intel with AIOps for […]
The Juniper Self-Driving Network: From Telemetry to Actions
Juniper, driven by Mist AI, is the only vendor to use its own AI/ML to drive end to end customer success with self-driving RRM, coverage hole detection, and Actions. Jisheng Wang, Head of Data Science for Juniper, presents the pipeline from telemetry to actions for creating self-driving networks, using Radio Resource Management (RRM) as an […]
Juniper Marvis: The Journey to an AI-Driven Enterprise
Marvis Virtual Network Assistant (VNA) empowers AI-driven LAN, WLAN, and WAN with Client-to-Cloud insights and a Conversational Interface to automatically identify and remediate issues across the entire network. Bob Friday, Sudheer Matta, and Jisheng Wang present Juniper Marvis and the journey to an AI-driven enterprise. After a brief introduction by Sudheer Matta, VP of Products, […]
Juniper’s Momentum in AIOps with Mist AI
Juniper delivers the best real customer experience with an AI-Driven Enterprise that is empowered with Client-to-Cloud Insights, AIOps, and AI-driven Actions. Jeff Aaron, VP of Enterprise Marketing, introduces the Juniper Networks presentation at AI Field Day. He begins with a look at Juniper’s history with Field Day and a preview of the presentation agenda. Then […]