Name: Open Source: The Foundation of the Intelligent Edge
Start: 2023-03-07T19:00:00Z
End: 2023-03-07T19:00:51.000Z
Location: BrightTALK
Rating: 5

Wind River is a global leader in delivering software for mission-critical intelligent systems.

Wind River is accelerating digital transformation across industries by delivering the software and expertise that enable the development, deployment, operations, and servicing of mission-critical intelligent systems from the edge to the cloud.

Wind River technology is found in billions of products and is backed by world-class services and support and a broad partner ecosystem.

In today’s rapidly evolving industrial landscape, bridging the gap between Information Technology (IT) and Operational Technology (OT) is transforming business operations, unlocking new levels of efficiency, resilience, and innovation. Join industry experts from ServiceNow and Wind River for a 45-minute deep dive into the future of IT/OT convergence and discover how leading enterprises are leveraging hybrid cloud platforms, AI-driven automation, and unified data models to revolutionize their factories, utilities, and asset-intensive sectors.

This session will explore:
• The strategic value and market trends driving IT/OT convergence, including real-world examples from manufacturing, supply chain, and critical infrastructure.
• How ServiceNow and Wind River’s integrated solutions streamline industrial operations with secure, real-time visibility, incident response, and lifecycle management for both IT and OT assets.
• Best practices for deploying a unified IT/OT data foundation: leveraging ServiceNow’s Operational Technology Management for asset governance, CMDB integration, and automated remediation.
• Lessons learned from successful client engagements—including organizational readiness, change management, and the human element in IT/OT transformation.
• Live Q&A to address audience-specific challenges and next steps for digital transformation initiatives.

Attendees will leave this webinar with a clear understanding of IT/OT convergence fundamentals, emerging technologies powering industrial digitalization, and actionable steps for orchestrating a secure, scalable, and future-ready operations platform using ServiceNow and Wind River

Accelerating IT/OT Convergence with ServiceNow and Wind River

As organizations seek agility, scalability, and cost-efficiency from their cloud infrastructure, many face the challenge of migrating from legacy VMware environments to modern, cloud-native platforms. 

In this webinar, learn how Wind River Cloud Platform delivers a proven path for enterprises to confidently move to a cloud-native environment. We’ll cover how to simplify migration, achieve carrier-grade reliability, enhance automation, and gain the scalability required to meet evolving business and operational demands—all while reducing infrastructure costs.

We’ll highlight proven strategies to minimize disruption, maximize ROI, and unlock the full potential of cloud-native technologies. Discover how to protect existing investments, maintain compliance and performance, and future-proof your infrastructure with Wind River’s trusted, open solution.

Seamless VMware Migration with Wind River Cloud Platform: Accelerate Your Cloud-Native Journey

The Intelligent Edge: AI & Edge Solutions for Industrial Safety—Next-Gen Protection for Manufacturing

Industrial accidents remain a serious challenge, causing injuries, operational disruptions, and financial losses. But what if you could prevent incidents before they happen?

Join us for a dynamic webinar showcasing how AI and edge technologies from Wind River, ZEDEDA and Edge Impulse are transforming workplace safety. See a demo of a smart manufacturing floor where advanced AI ensures workers are properly trained and equipped and monitors real-time compliance with safety protocols—dramatically reducing human error.

Featured Solutions:
• Wind River eLxr Pro & VxWorks: Reliable edge operations for critical safety tasks
• ZEDEDA: Seamless cloud/edge orchestration for rapid deployment
• Edge Impulse:  AI Inference application for real-time safety violation detection

Learn from industry experts and discover how intelligent safety systems are setting new standards in industrial environments.

Don’t miss your chance to see the future of safety—register now!

The Intelligent Edge Webinar: ZEDEDA and Edge Impulse

Retailers face mounting pressure to modernize their physical stores yet struggle with outdated infrastructure, slow innovation cycles, and unreliable connectivity. Wind River and Avassa are changing the retail edge landscape with innovative solutions that power businesses to transform their in-store experiences by enabling offline-capable applications, accelerating the rollout of new digital experiences, and streamlining complex in-store IT infrastructure.

Wind River's eLxr Pro, an enterprise-grade Linux platform, optimizes edge computing for retail environments. The Avassa Edge Platform enables seamless application orchestration across thousands of store locations. Together, they provide retailers with control over in-store applications, ensuring autonomy, security, and rapid deployment. Listen to "The Intelligent Edge" to learn how Avassa and Wind River are helping the largest retailer in Sweden reshape its business.

The Intelligent Edge Webinar: Wind River and Avassa

Precise time synchronization is a key requirement in Time-Sensitive Networking (TSN), and TSN networks require the use of the Precision Time Protocol (PTP). Listen to our expert's deep dive into this essential protocol.

Demystifying Precise Time Synchronization

A well-used and pertinent phrase drives edge device development: "There is no safety without security". The confluence (intersection and overlap) between these two critical aspects is essential for the reliable and safe operation of modern systems, especially in automotive, aerospace, medical devices, industrial control systems, and critical infrastructure.

In this webinar, we will discuss how safety-critical embedded systems design teams and operations teams must begin designing from the ground up with safety and security top-of-mind.

• System Design: Facilitating 'Shift-left' for earlier safety/security defect detection; a Secure Development Lifecycle (SDL).
• Certification and Compliance: Compliance to industry-specific safety and security standards, with evidence.
• Risk Management: CVE tracking and mitigation.
• Lifecycle Management: continuous monitoring, maintenance, updates, and vulnerability management.
• Human Factors: User behaviors, training, and awareness.

The confluence of security and functional safety emphasizes the importance of addressing both aspects holistically to develop and maintain systems that are not only safe and reliable but also resilient to security threats and attacks. Integrating security and functional safety considerations from the early stages of system development can help organizations mitigate risks and ensure the overall integrity and trustworthiness of their systems.

The Confluence of Safety and Security in Critical Systems

In this webinar, Wind River and Rapita Systems have joined forced to review the multicore certification landscape, the challenges of multicore interference and the mitigation of that interference. During the webinar we will talk about how interference channels can be identified, characterized, and mitigated, and how evidence can be produced that these activities have been completed, using examples from a range of multicore platforms popular in the aerospace industry.

Migration of Interferences In Multicore Processors

Research that Enterprise Strategy Group (ESG) Principal Analyst Torsten Volk conducted with Wind River® shows that Linux is critical to cloud-native architectures and is the platform of choice for running AI/ML workloads. For 77% of organizations, performance tuning is essential to ensure that systems are precisely configured for their intended workloads. So how can you fine-tune your deployments and capitalize on Linux’s potential? 

Listen to this Fireside Chat with Torsten Volk and Jeff Reser, Wind River enterprise Linux specialist, and learn the top lessons from their expert research on enterprise Linux expectations.   
You will learn:
The top five reasons to change Linux distributions and vendors  
How cloud-native workloads on Linux fuel AI innovation 
How to tune Linux for your specific use cases
How to achieve consistent Linux operations, from core to cloud to edge

Optimizing Linux for Cloud to Edge

Adopting open standards in avionics systems promises to lower implementation costs, accelerate development, ensure robust architecture and consistently high-quality software implementation, and maximize reuse. The FACE™ standard embraces these ideals by providing a modular reference architecture based on segments.

Jeff Reser from the Wind River Linux team will illustrate the benefits of FACE-conformant solutions with a focus on purpose-built Linux use cases.

You will learn:
- How Linux plays a role in FACE-based solutions to maximize portability and reuse in avionics software
- The benefits of using Linux for FACE-based solutions
- A real-world example of a FACE-based solution for a Linux use case

Future Airborne Capability Environment (FACE): A Linux Perspective

As edge computing evolves, so do its demands—balancing high-performance, low-latency applications with reduced cloud costs and minimized power consumption. Traditional enterprise Linux solutions fall short in addressing the unique needs and vulnerabilities of mission-critical edge environments, where security risks are amplified. 

Join us to explore Wind River’s eLxr Pro™, a robust, open-source-based solution tailored for edge computing that combines Debian stability with enhanced security, reliability, and support for edge servers. 

We’re empowering enterprises with an innovative, future-ready edge solution – backed by exclusive incentives for early adopters. Seize the opportunity to lead the industry with a solution built to drive unmatched performance and resilience at the edge. 

Don’t miss out on a limited-time advantage to set your operations apart!

Unleashing the Edge:  Meeting Security and Performance Needs Beyond the Data Center

As the edge-cloud continuum reshapes distributed computing, the ability to dynamically shift computation and data processing between the edge and the cloud is crucial. This flexibility optimizes performance and efficiency for real-time applications, AI orchestration, and mission-critical workloads. However, as edge-to-cloud deployments grow, so do the demands for customizable solutions that meet security, scalability, and performance requirements.

Join Wind River Linux Product Management experts Lexi Schroeder and Derek Straka in a deep dive into the evolving landscape of edge-to-cloud systems. Discover a new, adaptable enterprise-ready Linux derivative with modern tools to create a unified tech stack, streamline maintenance and reduce operational overhead. 

Key Takeaways:
• Get introduced to a new, freely available open-source Linux solution designed for consistency across various devices and environments.
• Learn about the latest requirements and optimizations for Linux platforms tailored for enterprise-wide use cases.
• Explore how to accelerate innovation in distributed networks to meet the changing needs of edge to cloud systems. 

Don’t miss this opportunity to gain actionable insights and strategies to optimize your edge-to-cloud deployments.

Unlocking the Full Potential of Cloud-to-Edge with a New Linux Approach

Real-time operating systems power billions of critical devices across the globe, from planes and cars to household appliances. However, evaluating a real-time operating system (RTOS) can be difficult. We will review the critical uses of an RTOS and how to determine whether it is the right fit for your embedded application.

You will learn:
What an RTOS is
Which features of an operating system will impact your end goal
How to evaluate options to determine the best fit for your application

Evaluating an RTOS for Your Embedded Application

Several pain points arise in discussions of edge applications: The heterogeneity of the edge makes it complicated to orchestrate; and security, scalability, application deployment, and feature updates all need to be addressed.

The infrastructure market and cloud service providers (CSPs) have adopted cloud-native best practices in software development and in building workflows and tooling that help reduce these complexities and improve quality.

You will learn:
The benefits that cloud integrations can offer
The ways developers can leverage tools to improve application deployments

Cloudification of Embedded Systems

Cloud-ready software-defined ECUs could revolutionize the software-defined vehicle, offering significant cost savings, reducing power consumption, enhancing security, and simplifying software management.

McKinsey & Company predicts that software-defined architectures will account for 70% of all new automotive E/E architectures by 2030. Cloud-ready ECUs and lift-and-shift design can combine containerized ECU software functionality with a full-feature real-time operating system to create new capabilities for improved scalability and better isolation of resources. 

You will learn:

Why you should consider an evolutionary path for existing bare metal ECUs

Design considerations to convert an AUTOSAR classic software image into a cloud-ready ECU

Use cases for the containerization of AUTOSAR classic processes using OCI-compliant container technology

Cloud Ready ECU's for Next Gen Vehicle Architectures

Real-time operating systems power some of the most complex and important embedded systems and are deployed everywhere, from the deep sea to the surface of Mars. However, despite their widespread use, many time-saving RTOS features are underutilized.

You will learn:
- What features are available in the newest edition of VxWorks®
- How to set up and use these features
- How they can improve the development process for embedded engineers

Top 10 Overlooked VxWorks Features

This webinar covers:
-What you need to know about the Nvidia Jetson AGX Orin from an OS perspective. 
-How the BSP for Nvidia Jetson AGX Orin works with Wind River Linux.
-Advantages of using a tailored OS distribution for normal and AI workloads.
-A real example of how to add a Jetson interference application using the BSP.

Maximizing NVIDIA Jetson AGX Orin AI Performance with Wind River Linux

A review of the current state of energy efficiency with 5 actionable steps CSPs can make to optimize your network.

Open RAN and the Energy Efficient Imperative

Analysys Mason surveyed more than 60 operators worldwide and found a significant positive shift in confidence and focus regarding Open RAN capabilities. 

Many of the issues related to performance and total cost of ownership (TCO) uncertainty, previously the biggest barriers to Open RAN adoption, are being effectively addressed, and operators are confident that all major challenges facing the technology will be overcome. 

Join this discussion with Analysys Mason, Intel , and Wind River   to unpack some of the highlights from this study.

You will learn:
- The 11 commercial objectives operators expect Open RAN to deliver better than legacy RAN — and the one they don’t 
- The significance of 8 key vRAN capabilities in supporting operators’ top commercial objectives 
- Why 41% of operators would prefer to start commercial Open RAN or vRAN deployments sooner than originally planned 
- Strategies operators can adopt to roll out Open RAN sooner, with less risk

Open RAN Moves Beyond TCO, Unpacking the Highlights

Open-world learning (OWL) has taken on new importance in recent years as AI systems continue to be applied in real-world environments where structural violations of expectation or novelty can occur with non-trivial frequency. Novelty can impact AI performance profoundly, ranging from overt catastrophic failures to non-robust behaviors that do not take changing context into account. In this presentation, the University of Southern California's Dr. Mayank Kejriwal argues that designing machine intelligence that can operate in open worlds, including detecting, characterizing, and adapting to novelty, is a critical goal on the path to building systems that can solve complex and relatively under-determined problems. 

He will also discuss and distinguish between three forms of OWL (weak, semi-strong and strong), and between the development of OWL algorithms in active versus passive domains. Finally, he will explore the issue of how we can properly evaluate OWL approaches. Unlike traditional machine learning, an OWL algorithm must be capable of handling situations that are genuinely and structurally unexpected. Hence, their practical evaluation can pose an interesting conceptual challenge.

Key takeaways:
- An overview on open-world learning and why it is so important in real-world infrastructures.
- How open-world learning can provide a competitive advantage.
- Reasons why open-world learning is the next frontier in machine intelligence.
- The key difference between weak, semi-strong and strong open-world learning systems.
- A primer on evaluating and stress-testing open-world learning. 

About the speaker:
Dr. Mayank Kejriwal holds joint appointments at the University of Southern California's Viterbi School of Engineering. His research, funded by the US Department of Defense, corporations and philanthropists, is focused on applying AI to solving complex data-intensive problems. He is the author of four books, including an MIT Press textbook on knowledge graphs.

Explore open-world learning at the edge: the next stage of machine intelligence

With companies all over the world grappling with exponential data growth, data intelligence at the edge is a way for organizations to manage the increasing flow of data in a more efficient manner, optimize information use, reduce costs and improve their business performance. An IBM marketing cloud study indicated 90% of global data was created in the last two years, growing at 2.5 quintillion bytes of data per day.  In order to keep up, companies are now deploying smart-connected sensors and assets daily, requiring machine to machine and internet of things (IoT) networks to alleviate costly inefficiencies of data management in the cloud. IoT networks must embrace centralized architecture, where processing raw data begins at the network edge. 

Companies have utilized data flow, the cloud, or cores or racks of equipment purchased to perform certain calculations and storing these results to bill data center operating expenses. Rather than run up costs by processing and storing data for stretches of time, companies are beginning to use artificial intelligence (AI) and machine learning (ML) to help eliminate wasteful data while streamlining relevant data meaningful to the business. AI-powered edge analytics can aid in improving response and efficiency rates, reducing operating costs and more quickly identifying raw data that hold little to no value for the business.  

Tune into this webinar, presented by industry thought leader, Dr. Sue Tripathi to learn:
1. The use of AI/ML at the edge, requiring increased processing power and logic to be built into edge devices. 
2. Key components to protect critical infrastructure, including security algorithms, encryption keys, and scan updates.
3. Data management at the edge of the network. 
4. Examples of real-time application of data intelligence at the edge with good business outcomes and timely and informed decision making.

Data intelligence at the edge

Real-time information systems impose deadlines for producing control responses, as latency in their data generation, processing and transfer may cause impermissible failures. This characteristic mainly affects data intelligence related to methods and tools for classifying and integrating real-time information. Companies can achieve timely solutions by utilizing local premises rather than supporting centralized servers or clouds. Instead, computing within the network partly takes place near the physical end points which is where edge computing paradigm comes in to help. The ultimate benefit of edge computing is cloud optimization. 

Edge computing enables splitting and sharing data between network data centers and local computing power. Meanwhile, strong authentication techniques ensure confidentiality, integrity and consistency of shared data.

Tune into this in-depth webinar to gain a proper understanding of edge computing and a deeper knowledge of the following concepts:
• Edge vs other computing paradigms.
• Infrastructure on the edge.
• Data intelligence at the edge.
• Edge data privacy.

About the speaker:
Yeghisabet Alaverdyan is currently the Head of Systems Integration Department at EKENG CJSC since 2018. She graduated from the National Polytechnique University of Armenia in 1980 with a specialization in System and Electrical Engineering. She started her professional carrier as an engineer at the RA National Telegraph. Senior Engineer, then Chief of the National Telegraph Computing Complex. In 2003, she began her teaching career as a lecturer teaching Discrete Mathematics; Finite Automata Theory; Cryptography; Programming in C++.  She obtained her PhD in 2012 and is the author of more than 20 scientific papers published in local and international scientific journals. Her current research is in Mathematical Cryptography, AI and Cognitive systems modeling.

Edge computing: Infrastructure and data intelligence

In the aftermath of COVID-19 that forced everyone in isolation, working from home became a normality, resulting in high volumes of day trading and ever-growing gaming communities around the world needing rapid access to information. Because of this minimum latency has increased tremendously. 

Edge can help bring the computing resources closer to where data is generated and consumed, so companies do not have to solely rely on a centralized, cloud-based infrastructure. This has provided the opportunity for the new generations to spend more time with family while working from home, as well as for gaming and to experiment with new endeavors such as day trading. This shift will contribute to the digitalization of our daily lives as we move to a fully developed digital economy and culture. With its benefits, edge computing also also has the potential to significantly increase both physical and logical data security concerns and present companies with a challenge for maintaining and upkeeping these facilities.

Tune into this webinar from industry thought leader Farhad Mehraban as he explores the use of edge computing and its impact on work, trading and other facets of our daily lives.

About the speaker:
Farhad Mehraban is a leading digital economy, information technology, cloud and data center expert who consistently delivers latest and most credible solutions to the industry at large and across vast geographical and vertical coverage terrains.

Edge computing's impact on today's gaming and trading culture

You’re constantly evaluating new technologies to accelerate your organization's success and the benefits they could bring. In tech decisions, you are often forced to respond reactively. Emergency arises. Solution assessed. Solution implemented.

Instead of looking in, take a look at where business is done - at the edge. Edge computing captures and facilitates all of that and moves the business world forward at a never-before-seen pace.

The ever-expanding expectations of our digital world demand that more applications run outside the cloud or data center, close to where they are used by people, devices, and IoT technologies. But managing the sprawl of complex infrastructure to run applications locally in geographically distributed locations is an escalating burden on IT departments. If you need to run applications outside the data center and cloud but with cloud-like simplicity and performance or want to know how automation can help, join this session to learn how running applications at the edge is easier than you think.

Mitch Etchason, Product Manager at Scale Computing, discusses optimizing IT infrastructure at the edge to help you think about where you are today, and where you could be tomorrow.

Expanding to the Edge: Next-Generation IT Infrastructure

What enterprises should and should not demand and allow in their embrace of edge.

IT on the Edge: Making Edge Computing Work for the Enterprise

According to Gartner, NaaS will be adopted by 15% of all enterprises by the end of 2024, up from under 2% in 2022. With the demand for a highly automated, scalable infrastructure still increasing, Digital Alpha Advisors saw the opportunity to merge PacketFabric and Unitas Global to create the next evolution of Network-as-a-Service. A TruNaaS.   

During this webinar, moderator, Lisa Gerber, Business Develop of Media and Entertainment at PacketFabric, will ask panel speakers Chief Executive Officer, Dave Ward, and Chief Strategy Officer, Carole Girdley, why this is a pivotal moment for revolutionizing enterprise digital infrastructure.

In this webinar, you’ll learn:

+ The meaning of TruNaaS and how it revolutionizes business connectivity
+ How to reimagine business operations with Edge to Everywhere infrastructure
+ The benefits of being able to design and control communication architecture without the burden of owning or operating any part of the network

Edge to Everywhere

Mobile edge computing (MEC) distributes execution resources, such as compute and storage, for applications with networking closer to end users. This includes deploying edge infrastructure at enterprise premises that is managed or hosted by operators that power 5G use cases across industry verticals such as transportation, energy, smart cities and manufacturing.
 
Distributed cloud, including hybrid cloud and multi-cloud, supports the deployment of applications which ensure an execution environment for applications across different sites. Through MEC, operators can generate new revenues by using capabilities such as connected edge compute, distributed data fabrics, and private 5G capabilities to manage more B2B and B2B2C implementations.
 
Tune into this webinar from industry thought leader Ron Westfall to learn how MEC is an enabler for a broad range of use cases, creating opportunity for 5G revenue diversification and monetization as well as improving the enterprise 5G experience.

About the speaker:
Ron is an experienced research expert and analyst, with over 20 years of experience in the digital and IT transformation markets. He is a recognized authority at tracking the evolution of and identifying the key disruptive trends within the service enablement ecosystem, including software and services, infrastructure, 5G/IoT, AI/analytics, security, cloud computing, revenue management, and regulatory issues.

Why edge computing is essential to 5G success

As more enterprise-generated data is created and processed at the edge of the network, Mobile Edge Compute (MEC) is becoming a driving force behind this trend. Currently, only 10% of data is generated outside traditional data centres or the cloud, but by 2025, Gartner predicts this figure will reach 75%. Cradlepoint is at the forefront of this trend with its ability to run secure Docker containers directly connected to IoT sensors or devices via routers.

Join us for a webinar on the impact of Mobile Edge Compute (MEC) on the IoT market, including customer success stories, where we will explore:
• The types of workload that can be performed at the edge of the network
• How this trend is changing the way enterprises process and store data
• The benefits of running secure Docker containers directly connected to IoT devices
• How our experience with customers in different industry sectors demonstrates best practice in MEC
 
Don't miss this opportunity to learn about the future of data processing and storage. Register now and stay ahead of the curve.

Exploring the Impact of Mobile Edge Compute on IoT Data Processing and Storage

Edge is not a new idea but exploiting the edge effectively does require some new thinking some of which is counter-intuitive in the modern cloud centric world in which we operate. 5G is going to unleash a whole new wave of possibilities around remote devices and as IT functions we are going to be under more and more pressure to deliver on the promise. We need to get our houses in order and build a platform that will act as a springboard and not pitch us flat on our faces.

Tune into this webinar presented by expert Simon Ratcliffe, as he examines edge computing across a variety of environments and discusses how to build a stable, secure and manageable edge environment that can form the foundation for transformational change within organizations.

Digital transformation at the edge in 2023

For use cases involving devices connecting to mobile networks, the edge cannot exist on its own and needs support within the core network to deliver on its potential. The traffic to the edge needs requires specific treatment to ensure optimal routing and quality of service for example. Next to that, many use cases in mobile networks involving the edge are expected to involve multiple networks because they need to reach a larger user base and/or because of the users mobility.
 
The GSMA and its operator and industry members have created initiatives to make using the edge in mobile networks as simple as possible. This involves a federated platform architecture that allows exposing the required capabilities of all operators involved in the federation as services through entry points that each of those operators could offer to their enterprise customers, alignment on the APIs offered and on the models for offering those. This architecture will now be used also to offer other, non-edge-related services that may be of use to enterprise customers.

About the speakers:
Mark Cornall  has been with GSMA for One year as a Technical Director. He has been focusing on the federation of APIs and work within GSMA’s Operator Platform Group. Prior to this he worked for Vodafone Group studying public and private MEC and as technical lead in the deployment of AWS Wavelength into the Vodafone Networks. Within Vodafone he has held a number of earlier technical roles focusing on Video and TCP optimisation, the “Enjoy More” program and performance management. 

Tom van Pelt has been with the GSMA as a Technical Director for over 10 years. Within the GSMA, Tom has been driving and contributing to the specification and interoperability work on RCS messaging and since 2019, he’s also involved in the work on Operator Platform and telco edge cloud. Tom is acting as the director of the GSMA’s Operator Platform Group.

Beyond the edge

The use of IIoT and IIoT devices can help manage water networks, energy, smart grids and mobility. Edge processing can provide the key features for successful IoT at scale, tackling the needs of reliability, quality, low-energy, adoption and cybersecurity. For instance, dedicated IoT architecture and algorithms at the nearest sensors allow for reliable IoT that can manage, digitalize and automatize a water network. However, this requires companies to have the dedicated development and knowledge for such applications. 
 
Tune into webinar presented by Lacroix's Stephane Gervais and Nicolas Guilbaud as they introduce the notion of “smart data,” processed data from the edge that can help steer decision making. This presentation will also address cybersecurity, its importance, and some implementations to reduce the complexity for end professional users.

How Edge can be an enabler of IIoT and AI scalability

Enabling Edge Computing

With more than 24 billion edge connections expected by 2025 (GSMA, “The Global Economy,” 2020), it’s no surprise that companies are increasingly prioritizing ways to leverage the intelligent edge. Of businesses engaged today, 1 in 3 cite the intelligent edge as critical to their strategy, and 2 in 3 expect it to be critical within the next 5 years. In this webinar held in partnership with the Open Infrastructure Foundation, we’ll review the findings of a third-party study we partnered on that included 578 responses across France, Germany, Spain, the U.K., and the U.S.

What you will learn:

- The key drivers behind the intelligent edge. What are the motivations, expectations, and top use cases?
- The top requirements and concerns when deploying the intelligent edge. How should you think about security?
- The role of open source technology and why it’s becoming pervasive. We’ll share some specific open source projects related to the intelligent edge.

Open Source: The Foundation of the Intelligent Edge

edge

edge computing

Open Source

Infrastructure

Digital Transformation

Automation

Cloud

Cloud Architecture

Connectivity

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Open Source: The Foundation of the Intelligent Edge

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About this talk

Wind River