Name: Making Cloud Native Work for 5G Core
Start: 2022-11-02T15:00:00Z
End: 2022-11-02T15:01:06.000Z
Location: BrightTALK
Rating: 5

Intel® Industry Solution Builders program has a mission to help communication service providers and enterprises accelerate their development and implementation time by gathering a global ecosystem to provide flexible, scalable, virtualized, and cloud native solutions for cloud, core, and edge computing. The Intel® Industry Solution Builders Builders webinar program is a recurring webcast series in which ecosystem members and Intel technology experts delve into the technologies, topics, and issues facing the edge and networking industry. Ecosystem partners with commercialized solutions based on Intel architecture benefit from an array of marketing opportunities to amplify their offerings into market and accelerate adoption.

Recent advances in Artificial Intelligence (AI) and Machine Learning (ML) technology, along with the “connected everything” potential of 5G are game changers for enterprises, service providers, and systems integrators in delivering end-to-end IoT solutions. 

Today’s private 5G and edge computing bring significant increases in network coverage, uplink performance, bandwidth, and data processing speed, allowing wirelessly connected HD-video cameras to be placed anywhere and expanding the marketplace for media analytics. Video analytics market size is expected to grow at CAGR of 22.7% to nearly $22 billion by 2027. 

However, the challenge has been in the complexity of integrating media analytics and real time communications into existing and new business applications to help drive business efficiencies. 


The webinar will cover:

1. Live demo of computer vision applications and the low-code/no-code programmable platform that empowers teams to quickly create new enterprise automation applications simply by dragging and dropping instruction on “what to look for” and “action to take” in a real time or recorded audio or video stream – all without requiring any special end point equipment.

2. How OpenVINO based 100+ prebuilt analytics models and integrated programmable communications can help accelerate development of IoT applications. Application possibilities include video surveillance, AR/VR overlay, gunshot and fire detection and alerting emergency services personnel, monitoring retail shelves for inventory management, and many other such services for multiple verticals – Manufacturing, Warehouses, Healthcare, Warehouse, Utilities, and more.

Reducing Complexities to Integrate OpenVINO Audio-Video Analytics in 5G & Edge IoT Applications

In late 2023, the Food & Drug Administration issued new considerations for cybersecurity in medical devices. These recommendations cover everything from authentication, to cryptography, to firmware and software updates. Medical device makers are now looking to meet these requirements, while ensuring ongoing operations are scalable.

A common traditional approach employed for deploying firmware and software updates in the field has been utilizing a software agent which has its drawbacks and limitations. A new approach to solving this update challenge is to leverage an edge focused software architecture, such as EVE-OS from the Linux Foundation, and leverage an API for orchestration of the software and underlying hardware.
In this panel, you’ll hear from experts about:

• Foundational security considerations for embedded software running at the edge
• The EVE-OS architecture and how it addresses the new FDA considerations
• Considerations for scaling firmware and software updates


Moderator: 

Andrew Lamkin
Health and Life Sciences Solutions Architect
INTEL

Panelists: 

Kim D. Crawford
VP of Global Sales and Business Development 
Dedicated Computing

Matt Grubis 
Chief Engineer, Monitoring Solutions
GE HealthCare

Erik Nordmark
Co-founder and CTO
ZEDEDA

FDA Cybersecurity in Medical Devices—A New Approach for Deploying Firmware & Software Updates

Join us for an in-depth exploration of the Acumera Reliant Platform, designed to transform how multi-site operators in the retail and hospitality industries manage their edge computing environments. 

This webinar, hosted by Richard Newman, Chief Strategy Officer, and Brian Prokaski, Chief Revenue Officer at Acumera. This webinar will dive into how Acumera’s platform enables seamless management of both legacy systems and modern, container-based applications with AI/ML and IoT integration.

Key takeaways include understanding the platform’s orchestration, configuration management, and observability features and how Intel hardware powers its robust performance. 

Viewers will learn how the platform drives operational efficiency, reduces downtime, and enhances real-time visibility into network performance across thousands of locations. We’ll share real-world success stories, including our deployments in Casey’s gas stations and an industry-leading QSR, where we helped scale edge computing solutions to streamline operations and improve decision-making.

Whether you're involved in retail, QSR, or another multi-site operation, this session will provide actionable insights on how edge computing can drive digital transformation. Plus, we’ll explore how Intel and Acumera can collaborate to bring more optimized and scalable edge solutions to market.

Don’t miss this opportunity to see the future of edge computing in action!

Revolutionize Multi-Site Operations: Acumera Reliant Platform

This presentation provides an in-depth look at two important Linux Foundation projects - SONiC and FD.io - and their complementary roles in modern, open networking.

We will explore the origins of these projects, their evolution, and how they address the demands of high-performance, scalable, and cost-efficient network infrastructure. SONiC has become a standard for open-source network operating systems, while FD.io delivers high-speed, flexible software packet processing with VPP.

Project histories: How SONiC and FD.io originated and matured into their current states, with insights into their architectures and future.

Use-cases: Examples of deploying SONiC and FD.io in scenarios such as data center networking, enterprise connectivity, and telco applications.

FD.io CSIT Project: An overview of the Continuous System Integration and Testing benchmarking framework that drives the reliability, stability, and performance of FD.io.

With a focus on practical applications and technical insights, this presentation demonstrates why SONiC and FD.io offer unique advantages for next-generation software networking solutions - both for appliance and cloud networking form factors.

SONiC ❤️ FD.io: Better Together

Join us for the webinar Unleashing Scalable AI Inference with Wallaroo: Transforming Industries for Intel Architecture, where we explore how Wallaroo.AI, a universal AI inference platform, is enabling businesses to accelerate AI adoption across diverse sectors. Built for efficiency, performance, and scalability, Wallaroo empowers industries such as retail, manufacturing, life sciences, aerospace, and defense to unlock the full potential of AI with seamless deployments across cloud, edge, multi-cloud, and on-prem environments.

Discover how Wallaroo’s production-grade inference platform, optimized for Intel Architecture, integrates with the OpenVINO Toolkit to maximize the capabilities of Intel CPUs and GPUs. Learn how features like autoscaling, resource optimization, and advanced model deployment and monitoring streamline ML/LLM operations and deliver impactful AI use cases like medical imaging in healthcare, safety automation in manufacturing, and satellite imagery analysis in aerospace.

This webinar is an essential opportunity for Intel Solution Builder partners to gain insights into scalable AI solutions that drive digital transformation and enhance competitive advantage.

Unleashing Scalable AI Inference with Wallaroo: Transforming Industries for Intel Architecture

Palo Alto Networks is a leader in security solutions that protect the organizations deploying AI everywhere, generating and processing data everywhere. We are inviting Dr. May Wang, CTO of IoT Security, Palo Alto Networks, to discuss how Palo Alto sees the edge and what strategy Palo Alo is taking from security perspective. 

More data is generated at the edge as devices are smarter and feeding more information into the network. More intelligence is generated at the edge with more values extracted out of data. Organizations are deploying GenAI at the edge to transform user experience at the edge both for external customers and for its employees. More values are placed at the edge that attract attackers. The edge is ever more vulnerable with increased attack surfaces. Intel and Palo Alto Networks have long worked together to deliver security solutions in the hands of IT and OT organizations. 

The recent advancements include building AI-enabled security solutions that could be deployed everywhere, from edge to cloud. Edge in particular is the center of the discussion with May where more data generation, processing, new applications like GenAI, and workloads to protect them all are deployed.

Executive Fireside Chat with Intel and Palo Alto Network - "AI enabled network security at the edge"

Discover how AI is transforming telecom networks, enabling faster issue detection, optimized resource allocation, and reduced operational costs.

Together, Digis Squared and Intel are pioneering AI solutions that elevate network performance, enhance user experience, and drive the next generation of intelligent connectivity.

Presenter Bio: 

Mariham holds an MSc in Electronics and Communication Engineering from the Arab Academy for Science and Technology. As a Senior Data Scientist at Digis Squared, she leads machine learning projects focused on advancing 4G and 5G technologies. 

Her experience includes working as a Computer Vision Research Assistant at Augmania, specializing in 3D image transformation. Additionally, she served as a Teaching Assistant and Research Assistant at the Arab Academy, contributing to AI and deep learning research while mentoring students.

Redefining Telecom: Empowering Networks with AI-Driven Innovations

Revolutionize your business with foundational crowd intelligence. WaitTime is a patented, real-time and historical artificial intelligence software that uses state-of-the-art imaging techniques to monitor crowd behavior. 

The data generated from WaitTime software leverages operations and guest engagement platforms to enable real-time smart decision making, inform operations management, and engage guests in movement and distribution solutions.

Discover strategies that not only streamline operations and improve guest experiences but also significantly boost sales. 

With 58%* of people willing to spend significantly more on food and beverages if wait times in lines were reduced, there’s a compelling opportunity for any venue to boost their revenue by 41.57%* on average when enhancing crowd management strategies.


*Oracle Food and Beverage. "The Fan Experience: Changing the Game with Food and Beverage Technology." 2015

No Waits, All Gains: Unlock Profit with WaitTime Crowd Analytics

Join us for an exciting and enlightening webinar on "Leveraging Edge AI in Video Analytics and Streaming for Medical Applications." In this event, industry leaders will delve into the latest advancements in edge AI, focusing on its transformative role in healthcare. Panelists from AJA Video Systems, Dedicated Computing, Intel, and Sonologi will bring their expertise to the table, exploring how edge computing and artificial intelligence are revolutionizing medical applications like real-time imaging, robotic-assisted surgery, and continuous patient monitoring.

In this session, you’ll gain insights into how scalable, secure edge systems are reshaping diagnostics by enabling continuous data streaming and in-field updates, ensuring healthcare environments are equipped with robust, fail-safe capabilities. This technology helps clinicians stay ahead of potential physiological crises, empowering them with predictive analytics and proactive interventions that enhance patient care.

With edge AI enabling real-time decision-making at the point of care, healthcare providers are witnessing unprecedented improvements in accuracy, efficiency, and patient outcomes. Don’t miss this unique opportunity to understand how AI and edge technology are facilitating a new era of proactive, data-driven healthcare, where technology meets compassionate care to create a seamless, responsive medical environment.

Leveraging Edge AI in Video Analytics and Streaming for Medical Applications

Silicom Denmark presents their Adaptable Crypto Accelerator designed as scalable performance and maximum flexibility solution for offloading bulk cryptography and Public Key Crypto through look-a-side operations adapted for OpenSSL. Hereby drastically improving CPU efficiency in business infrastructure relying on cryptography. 

Based on FPGA technology the solution is adaptable for a wide range of crypt support or specialized to a select set of operations for optimal performance in offloading of business infrastructure. The supported Cryptos include AES, RSA, ECDSA, ECDHE. 

Silicom Adaptable Crypto Accelerator evolves with the Crypto technology allowing inclusion of Post Quantum Compute algorithms like Kyber (ML-KEM) and Dilithium (ML-DSA).

The solution is presented including partner IP providing the algorithmic offloading and it adapts to many use cases with consistent high performance levels e.g. TLS handshake operations ranging from 90k ops/s to 335k Ops/s depending on the selected FPGA size for the low profile PCI card.

OpenSSL & TLS offload with Altera® Agilex™ FPGA Based Silicom accelerator card

Mavenir has integrated Intel’s AI model for beam management and Intel FlexRAN™ reference software with Mavenir's commercial mMIMO vDU software to deliver enhanced network performance and user experience. Intel's RAN AI model, trained on 3GPP channel model datasets, optimizes beam weights and number of layers to maximize each UE’s throughput.  

This talk will present the combined Mavenir and Intel solution that is designed to improve performance in challenging radio environments, such as cell edges and high-rise building scenarios, and is applicable for both TDD and FDD deployments.

Meet our Speakers: 

Kamakshi Sridhar
Mavenir
VP RAN Technology and Strategy, CTSO

Dr. Kamakshi Sridhar is VP of RAN Technology and Strategy and Senior Fellow in Mavenir CTSO where she leads 5G Open RAN and 6G initiatives and explores partnership opportunities to bring differentiated features to Mavenir products. 
She is the lead author of over 60 US patents and several industry whitepapers and has M.S and Ph.D degrees from MIT in Electrical Engineering and Computer Science.


Dan Lynch
Intel
Senior Marketing Director

Dan is the Senior Marketing Director responsible for driving the business, silicon, software and platform strategy for FlexRAN. The FlexRAN reference platform enables a cloud native platform at the very edge of the wireless network for all for 4G, 5G RAN deployment types enabling much greater network and business innovation, automation and flexibility. 
Dan joined Intel in 2005 and has held a range of technical and marketing roles mainly focused on networking segments playing a pivotal roles NFV market transformation and Cloudification of the RAN.

AI-Enabled Open RAN for Beam Management

Founded in 2001 as a spinoff from MIT and publicly listed in 2024, Groundhog Technologies is a leader in mobile network and subscriber analytics. Our solutions enable operators to accurately pinpoint subscriber locations and experiences, mine deep network and user insights, and implement proactive solutions like CovMo for network optimization, troubleshooting, customer care, and marketing use cases.

CovMo collects 3GPP layer 3 signaling events from eNodeB and gNodeB, applying extensive AI learning models to help mobile carriers solve complex issues. As a pure software platform, CovMo supports 24/7 nationwide analytics across multi-technology and multi-vendor environments. 

In this webinar, we will share examples from tier-1 mobile carriers on how they leverage CovMo to optimize network, enhance VIP care, and support governmental big data projects.

Navigating the Future: Intelligent Geolocation for AI-Driven RAN Analytics

This exclusive webinar showcases Generate powered by Iterate.ai, a Personal AI Assistant that uses Retrieval-Augmented Generation (RAG) and multiple secure vector databases to provide LLM capabilities to the Enterprise and SMB markets. 

Unlike other AI Assistants, Generate is deployed locally. This Private LLM not only allows users to leverage the application offline, but it removes the risk of exposing private company data to the outside world when connecting to public-facing chatbots. 

When it comes to deployment, Generate is extremely flexible. The Enterprise version can be deployed as a Docker instance in a private or public cloud, or shipped as a ready-to-install appliance. Generate can also be deployed on an AI PC (Intel Core Ultra Processor 155U and above). 

Don't miss the chance to learn more about how Iterate is revolutionizing AI strategies to give your company a competitive edge!

Building a Generative AI Flywheel for the Organization

In today’s fast-paced world, customer expectations for personalized and efficient experiences are higher than ever, especially in Quick-Service Restaurants (QSRs) and drive-thru operations, where speed and accuracy directly impact revenue and satisfaction. To meet these demands, Sodaclick, in partnership with Intel, is revolutionizing QSR operations with Conversational Voice AI technology.

Join Ibrahim Jan, Founder and CTO of Sodaclick, and Ihsan Jan, Co-founder and COO, as they unveil how Sodaclick’s AI solutions, powered by Intel’s technology, are transforming customer interactions in drive-thrus and kiosks. With multilingual capabilities and natural language processing (NLP), Sodaclick’s solutions enable faster, more accurate orders in a customer’s preferred language, creating a more inclusive experience.


This webinar will cover:

- How AI-powered drive-thru solutions reshape the QSR industry by reducing wait times, increasing accuracy, and improving satisfaction.

- The integration of Voice AI to streamline customer interactions and boost operational efficiency.

- A live demo of Sodaclick’s AI solutions for drive-thru automation and in-store kiosks.

- Insights into how Voice AI automates customer service processes to improve efficiency.

- Real-world case studies from QSR brands leveraging AI to optimize customer experiences.

- The impact of automation on franchise groups and system integrators in digital transformation.

- A deep dive into Intel AI solutions and how they complement Sodaclick’s technology for a scalable, future-ready solution.


Whether you’re a digital transformation leader, system integrator, or part of a QSR brand, this webinar offers insights into how AI-driven technology shapes customer interactions. Don’t miss this chance to learn how these innovations can help your business thrive.

The AI Driven Drive Thru: How Sodaclick and Intel are Powering the Next Generation of Customer Interactions

Broadband service providers are striving to expand their footprint, serve more customers, and address much-needed broadband gaps in rural and underserved areas. This is capital-intensive, which can limit or delay ISP expansion plans.
 
Open and Disaggregated networking options give ISPs freedom, flexibility, and control over their CAPEX. This means that the capital that would have been tied up in traditional networking solutions can be freed up to support more significant network expansion initiatives, enabling faster and broader deployments.
 
This webinar will explore the empowering potential of Open & Disaggregated BNG and CGNAT solutions. These proven solutions, deployed globally, are putting power and choice back in the hands of ISPs, enabling faster and broader deployments while freeing up capital to connect more homes. This is your chance to take control of your network’s future.
 
Don’t miss the opportunity to stay informed and knowledgeable about the latest in open and disaggregated solutions.

Open & Disaggregated BNGs: Giving Power Back to ISPs to Support Growth

5G private networks are transforming the energy sector by enabling advanced technologies that boost
operational efficiency and safety. In this webinar, we will explore the deployment of 5G in thermal power
plants, hydropower facilities, solar farms, nuclear plants, and wind farms. 

We’ll highlight how 5G supports high-definition video surveillance, real-time communications, advanced data analytics, video-based
diagnostics, AR-guided maintenance, and remote operations with robotics and drones.

These innovations offer tangible benefits, including reduced downtime, streamlined fault detection and
resolution, improved operational efficiency, and decreased reliance on manual labor.

Join us to discover how 5G is reshaping energy production and management, driving the industry
towards a more efficient and reliable future.

Transforming the Energy Industry with 5G Private Networks

Transform your 5G network using Intel® FlexRAN™ and Xeon®

Nybsys EdgeLink products are engineered to deliver scalable, low-latency, and high-capacity indoor 5G network solutions. By leveraging Intel Xeon processors with lock-aside acceleration, EdgeLink outperforms most integrated picocell or femtocell products. It is compliant with O-RAN standards, enabling seamless integration with existing infrastructure to roll out advanced 5G networks. This makes EdgeLink ideal for enterprise coverage in large indoor areas, factory floors, and semi-outdoor setups.

EdgeLink excels in supporting real-time operations with sub-millisecond latency, making it perfect for robotics and AI integration. Enterprises can build private 5G networks capable of supporting tens of thousands of devices, while Mobile Network Operators can deploy specialized networks to support diverse use cases, unlocking new revenue streams. Designed for smart cities, industrial automation, warehousing, healthcare and beyond, EdgeLink is the future of 5G network innovation.

Innovate and Monetize your Indoor Coverage with Nybsys EdgeLink

In an era where operational efficiency and early anomaly detection are paramount, traditional AI approaches often fall short due to their dependency on supervised learning and the need for extensive labeled data. Enter Amber, Boon Logic’s flagship product powered by the cutting-edge Nano algorithm. 

This unsupervised machine learning solution redefines anomaly detection by learning the normal operating states of machines and processes in real-time, without the need for pre-labeled data or time-intensive training.

In this webinar, we will dive into how Amber, leveraging the Nano algorithm, outpaces conventional methods by achieving 1000x faster training and inference—running exclusively on Intel processors without requiring cloud-support or additional accelerators like GPUs or FPGAs. 

Attendees will gain insights into Amber’s deployment capabilities, including real-world examples where it has successfully predicted critical failures well in advance, and integrations in auxiliary software stacks including visual inspection and embedded devices.

Deploying Amber: Edge-Based, Real-Time Anomaly Detection on Intel CPUs

While network functions virtualization (NFV) achieved 3GPP-defined control and user plane separation and is the choice for most mobile core deployments this year, the industry understands its limitations. Cloud native is the frontier, because it will drive digital transformation, enable greater operational flexibility, and reduce Capex and Opex while accelerating innovation and the monetization of the resulting services.

Cloud Native creates new requirements for software focused on easier developer consumption, network latency, visibility, security, sustainability, and TCO in addition to the main network connectivity KPI, performance.

Join Chandresh Ruparel, senior director, and Eoin Walsh, senior architect, from Intel’s Wireless Core Network Division for a view into the challenges and opportunities with cloud native in the 5G core

Making Cloud Native Work for 5G Core

Intel

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Capex

Opex

network latency

Security

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Making Cloud Native Work for 5G Core

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