Intel Corporation - Experts & Thought Leaders

Lanner Electronics, a global pioneer in network computing and edge AI solutions, is set to host the highly anticipated Edge AI Summit 2025 on September 18, 2025, at the Hyatt Regency Santa Clara in Fremont, California. The summit will spotlight Lanner's latest advancements in edge AI infrastructure, featuring the all-new AstraEdge AI platforms designed to accelerate the deployment of agentic AI, telco AI, vision AI and robotics AI. Attendees will also hear keynote presentations from industry pioneers including NVIDIA, AWS, Intel, F5, and other ecosystem partners, offering insights on the future of AI at the edge and its transformative impact across enterprises and telecom networks. Edge AI Summit 2025 A central theme of the summit is how edge AI is transforming infrastructure  The Edge AI Summit 2025 will explore how the convergence of AI and edge infrastructure is driving a new era of innovation. Speakers will demonstrate how enterprises can leverage edge AI computing to meet growing demands for scalability, low-latency intelligence, and secure data processing closer to the source. A central theme of the summit is how edge AI is transforming infrastructure — enabling smaller, smarter, and more efficient systems that deliver real-time intelligence close to the data source. Attendees will explore how AI at the edge drives low-latency decision-making, enhances on-premise compute capabilities, and powers scalable, high-performance solutions for industries ranging from enterprise, telecom to industrial automation. Live Demonstrations Attendees will experience hands-on demonstrations of Lanner’s latest edge AI innovations, including: DPU/GPU-ready MGX Servers for running large language models (LLMs), enabling agentic AI, network security optimisation, and AI-powered push-to-talk communications in private 5G networks. Compact edge AI appliances powered by NVIDIA Jetson AGX Orin, delivering traffic analytics and small language models (SLM) for smart mobility applications. ARC-Compact computers for AI-RAN deployments at cell sites, combining energy efficiency with high-performance AI acceleration. Scalable Edge AI workstations powering AI-enhanced ROI solutions for precision inspection in industrial automation. These live demos will showcase how Lanner’s edge AI platforms deliver intelligence directly to mission-critical environments, enabling enterprises to achieve greater efficiency, security, and operational insight.

New research from Dell Technologies and Intel reveals that 71% of U.K. IT Decision Makers (ITDMs) view the move to Microsoft Windows 11 as an opportunity to upgrade their PC fleets with AI-capable systems.  The ‘Windows 11 and AI PC Readiness Report’ also found that U.K. businesses see upgrading to AI PCs when they transition to Windows 11 to transform operations, with 64% saying being able to run AI applications effectively is critical or extremely critical for their organisation. Top AI PC advantages The top AI PC advantages reported were ‘advanced security features’ (47%) and ‘greater employee productivity’ (44%), highlighting a dual focus on cybersecurity and using AI to empower their teams.  "The migration to Windows 11 is a key moment for U.K. businesses to align their technology with their strategic ambitions," said Steve Young, Senior Vice President and U.K. Managing Director for Dell Technologies, adding "This research shows that forward-thinking pioneers are looking beyond the immediate deadline, seising the chance to upgrade to AI-capable systems to enhance security, improve efficiency and boost productivity."  Navigating common Windows 11 migration barriers  Hardware (34%) compatibility is also top-of-mind, as are potential disruptions to operations (32%) While 79% of organisations have started to transition to Windows 11 (44% in the process of transitioning and 35% have fully transitioned), the survey found that 20% of businesses have not yet begun the process ahead of the October 2025 deadline.   Respondents report that benefitting from enhanced security features (60%) is their main motivator for transitioning but said that software compatibility for existing applications is a key concern (45%). Hardware (34%) compatibility is also top-of-mind, as are potential disruptions to operations (32%). Seamless transition to minimise disruption "In addition to losing technical support, inaction means businesses may rely on less secure devices that can’t keep up with the latest applications," said Louise Quennell, U.K. Senior Director, Client Solutions Group for Dell Technologies. Louise Quennell adds, "By working with trusted partners like Dell and Intel, they can plan a seamless transition to minimise disruption and set them up to thrive in the AI era." Small businesses face unique hurdles  Findings suggest that small businesses (1 – 50 employees) are less likely to have started or completed their transition to Windows 11 (62% versus 79% of all businesses). They are more likely to be considering the move (22% versus 17% of all businesses) and a higher percentage aren’t considering it at all (14% versus 3% of all businesses). While small businesses share similar barriers with medium and big businesses, they are much more likely to say they feel it’s unnecessary (29% compared to 15% at 51 – 250 employee and 12% at 251+ employee businesses). Benefits of AI PCs   38% of small businesses said that they see Windows 11 as an opportunity to refresh to an AI PC fleet Looking to AI PCs, 38% of small businesses said that they see Windows 11 as an opportunity to refresh to an AI PC fleet compared to 72% of medium businesses and 79% of big businesses.  They report being less likely to be planning to refresh their PC fleet at this time (25% versus 6% of all businesses) and more likely to want to evaluate the benefits of AI PCs further for their transition (26% versus 19% of all businesses).  Windows 11 migration and adoption of AI PCs "We understand that for small businesses, every investment must have a clear return so the need to upgrade isn't always immediately obvious," said Brian Horsburgh, U.K. Small Business Country Manager for Dell Technologies. Brian Horsburgh adds, "That's why we focus on making the business case clear: AI PCs with Windows 11 deliver a competitive edge through smarter day-to-day tools and proactive security. We're here to provide tailored guidance and flexible solutions that turn a perceived cost into a clear catalyst for growth."  The study was conducted via Focaldata from 3 – 9 June 2025. 1,000 U.K. IT Decision Makers were surveyed online across small (15%, 1 – 50 employees), medium (32%, 51 – 250 employees) and large (53%, 251+ employees) businesses to assess preparedness for Windows 11 migration and the adoption of AI PCs.

Advantech, a pioneer in IoT intelligent systems and embedded platforms, hosted an investor conference today (March 5th), which was presided over by Chairman KC Liu alongside three co-presidents – Mr. Eric Chen, Ms. Linda Tsai, and Mr. Miller Chang.  Advantech’s 2024 revenue declined by 7%; however, the gross margin was maintained due to the effective control on operations. The 2024 gross margin was 40.8%, the operating profit amounted to NT$9.050 billion (operating margin of 15.1%), and the consolidated net income after tax totaled NT$9.005 billion (net profit margin of 15.1%), while 2024 annual EPS reached NT$10.45. Meanwhile, Advantech proposed a cash dividend per share of NT$8.4, reflecting an increase in dividend payout ratio to 80%. The dividend proposal was approved by the Board of Directors last week and is subject to final approval by the 2025 annual shareholders meeting. Edge computing technology Eric Chen, President of General Management and CFO, stated, “Looking forward to 2025, order momentum has gradually recovered, with BB ratios in regional markets rebounding above 1. Meanwhile, as Advantech continues to expand in the Edge AI market, overall operations are expected to grow steadily.” According to Miller Chang, President of Advantech’s Embedded Sector, the rapid development of global artificial intelligence and edge computing technology has driven Advantech's extensive Edge Computing Platform holds a high market share across various industries. Advantech continues to innovate by developing Edge AI acceleration modules, Edge AI industry application systems, Edge AI large-language training systems, and Edge AI servers.  High-performance computing Advantech's Edge Computing Platform has widely adopted various mainstream AI chips Additionally, it provides an integrated AI software platform tool, the Edge AI SDK, to help industry customers evaluate and validate AI platform performance and application development, accelerating the deployment of AI at the edge device level.  Meanwhile, Advantech's Edge Computing Platform has widely adopted various mainstream AI chips and collaborates with pioneer chip manufacturers, such as Intel, AMD, Nvidia, Qualcomm, NXP, and MediaTek, to co-develop and launch high-performance Edge AI computing platforms simultaneously. Advantech focuses on high-performance computing and Edge AI applications in emerging industries, including 5G, networking, healthcare, transportation, automation equipment, and robotics. Industrial edge computing Furthermore, Linda Tsai, President of Advantech’s Intelligent System sector, stated that Advantech is committed to driving the development of industrial edge computing, focusing on vertical markets such as smart manufacturing, industrial and semiconductor equipment, collaborative robots, transportation, network security, and video streaming. The company will provide advanced technologies, including machine vision solutions The company will provide advanced technologies, including machine vision solutions, PC-based industrial controllers, Edge computers, Edge servers, and Edge Video Appliances, enabling customers to enhance production efficiency and accelerate digital transformation. In addition, Advantech will deeply integrate AI, edge computing, and industry applications by launching AI vision cameras, industrial AI inference systems, and a series of Edge LLM servers. Delivering innovative solutions The company will also collaborate with AI ecosystem partners to deliver innovative solutions. Moreover, Advantech plans to expand its presence in key areas such as intelligent inspection, collaborative robots, logistics and warehousing, and smart cities, accelerating the growth of the Edge AI market. Advantech will strengthen its investments in L11 SKYRack integration services Lastly, Advantech will strengthen its investments in L11 SKYRack integration services, providing customers with assembly, integration, and testing services for industrial rack solution. Leveraging its global service network, the company enables localised assembly and delivery, supporting applications in semiconductor front-end equipment, medical imaging, and video streaming to provide comprehensive system solutions. Comprehensive system solutions Advantech Chairman KC Liu stated that in 2025, Advantech will launch a new brand strategy,’Edge Computing & WISE-Edge in Action.’ “Moving forward, the company will deepen its understanding of customer needs by transforming Edge Computing into a competitive advantage, thereby optimising operational efficiency and enhancing decision-making accuracy for clients.” “In the AI era, Advantech aims to drive industry advancement and foster innovation. The company will continue to focus on five key industries: Edge Intelligence Systems, Manufacturing, Energy and Utilities, iHealthcare, and iCity Services & iRetail. Through the software-hardware integration strategy, Advantech will leverage WISE-Edge to connect and enable edge intelligence, building a smart, interconnected ecosystem that facilitates real-time industry insights and drives innovative applications.” “Looking ahead, Advantech will further advance the integration of hardware and software in Edge AI by collaborating with ecosystem partners. The company aims to create sustainable growth and generate long-term value for shareholders, society, and employees—ultimately fulfilling its vision of "Enabling an Intelligent Planet."

For all the emphasis on cloud systems and centralised servers at ISC West, a lot of innovation in security video systems is happening at the edge. New advancements inside video cameras are boosting capabilities at the edge, from advancements in processing power to artificial intelligence (AI) and machine learning (ML) algorithms that can now be deployed directly on the cameras or edge devices. Advancements in AI algorithms The progress of video systems becoming smarter at the edge is driven by the need for real-time insights, lower latency, bandwidth efficiency, enhanced privacy, and improved reliability.  Advancements in edge computing hardware and AI algorithms are enabling a range of intelligent video applications across various industries, including physical security. Smarter functionality at the edge is a benefit of new computer systems-on-chips (SoCs) that are driving new heights of performance for today’s cameras.  Axis Communications’ ARTPEC-9   Axis Communications’ new ARTPEC-9 SoC offers advanced video compression to reduce bandwidth Axis Communication’s new ARTPEC-9 system-on-chip (SoC) offers advanced video compression to reduce bandwidth and storage needs. With a low bitrate, the SoC helps deliver high-quality imaging with outstanding forensic detail. ARTPEC-9 also offers enhanced deep learning capabilities to allow users to leverage the latest video analytics and accelerate the implementation of AI technology. Axis maintains control over all aspects of the chip’s development to ensure high quality and cybersecurity. Among the benefits of ARTPEC-9 are better AI and deep learning, better image quality, better cybersecurity, and AV1 license-free video compression (see below). Hanwha Vision’s Wisenet 9 Hanwha Vision has launched Wisenet 9, its most advanced AI-powered System on Chip (SoC). Wisenet 9’s enhanced edge AI capabilities increase performance as the volume and complexity of security threats demand real-time, accurate analysis. By elevating edge-device performance, AI empowers systems to quickly analyse vast amounts of video data and discern crucial patterns and anomalies. A key differentiator driving Wisenet 9 is deployment of two Neural Processing Units (NPUs), which improve performance three-fold compared to Wisenet 7, the previous SoC generation. While one NPU handles image processing, the other focuses on object detection and advanced analytics. This dual NPU concept was introduced to ensure video quality and analytics have independent resources, thus preventing one function from impacting the performance of the other. The latest from Ambarella Ambarella is a supplier of edge AI systems-on-chips to multiple video camera manufacturers Off the ISC West trade show floor in a nearby meeting room, semiconductor company Ambarella demonstrated how it will continue to push the envelope of what is possible with generative AI at the edge. Ambarella is a supplier of edge AI systems-on-chips to multiple video camera manufacturers and recently achieved the milestone of 30 million cumulative units shipped. The demonstrations highlight Ambarella’s ability to enable scalable, high-performance reasoning and vision AI applications across its ultra-efficient, edge-inference CVflow 3.0 AI SoC portfolio. The company’s DeepSeek GenAI models run on three different price/performance levels of its SoC portfolio. In addition to advancements in GenAI processing at the edge, Ambarella integrates image processing, encoding and system-level functions into all its AI SoCs. New standard for video encoding: AV1 AV1 compression is a next-generation video coding technology that offers significant improvements in compression efficiency and video quality, especially at lower bitrates. Its royalty-free nature positions it as a crucial codec for the future of internet video. AV1 compression is a next-generation video coding technology. Axis Communication’s ARTPEC-9 chip now supports the AV1 video encoding standard. By embracing this standard, which is new to the physical security market although it was introduced in 2018, Axis sets the stage for AV1 compression to eventually become the industry standard, replacing H.264 and H.265. Network video transmission AV1 is an open-source, license-free coding format designed mainly for efficient network video transmission AV1 is an open-source, license-free coding format designed specifically for efficient network video transmission. It delivers high-quality video at low bitrates, reducing bandwidth consumption and storage costs. The codec was developed by the Alliance for Open Media (AOM), a nonprofit organisation founded in 2015 by Google, Intel, Amazon, Microsoft, Netflix, and Mozilla (among others), to provide open-standard, next-gen video coding technology. AV1 is ideal for cloud solutions—making streaming applications more robust, scalable, and capable of delivering real-time insights. Now the ARTPEC-9 chipset brings these benefits to the surveillance industry, and AV1 is currently supported by AXIS Camera Station. Providers of major video management solutions (VMS) such as Genetec and Milestone will be adding support for AV1, with further developments already underway. More intelligence at the edge Intelligence inside video cameras comes from the processing power and algorithms that enable them to perform tasks beyond simply capturing and recording images. This "intelligence" allows cameras to analyse the video stream in real-time, identify objects, detect events, and make decisions or provide alerts based on what they "see." New and improved SoCs are driving performance improvements at the edge. The increasing power of embedded processors and advancements in AI are continuously expanding the capabilities of intelligent video cameras.

Growth is accelerating in the smart cities market, which will quadruple in the next four years based on 2020 numbers. Top priorities are resilient energy and infrastructure projects, followed by data-driven public safety and intelligent transportation. Innovation in smart cities will come from the continual maturation of relevant technologies such as artificial intelligence (AI), the Internet of Things (IoT), fifth-generation telecommunications (5G) and edge-to-cloud networking. AI and computer vision (video analytics) are driving challenges in security and safety, in particular, with video management systems (VMSs) capturing video streams and exposing them to various AI analytics. Adoption of disruptive technologies “Cities are entering the critical part of the adoption curve,” said Kasia Hanson, Global Director, Partner Sales, IOT Video, Safe Cities, Intel Corp. “They are beginning to cross the chasm to realise their smart city vision. Cities are taking notice and have new incentives to push harder than before. They are in a better position to innovate.” “Safety and security were already important market drivers responsible for adoption of AI, computer vision and edge computing scenarios,” commented Hanson, in a presentation at the Milestone Integration Platform Symposium (MIPS) 2021. She added: “2020 was an inflection point when technology and the market were ripe for disruption. COVID has accelerated the adoption of disruptive technologies in ways we could not have predicted last year.” Challenges faced by cities Spending in the European Union on public order and safety alone stood at 1.7% of GDP in 2018 Providing wide-ranging services is an expanding need in cities of all sizes. There are currently 33 megacities globally with populations over 10 million. There are also another 4,000 cities with populations over 100,000 inhabitants. Challenges for all cities include improving public health and safety, addressing environmental pressures, enabling mobility, improving quality of life, promoting economic competitiveness and reducing costs. Spending in the European Union on public order and safety alone stood at 1.7% of GDP in 2018. Other challenges include air quality – 80% of those living in urban areas are exposed to air quality levels that exceed World Health Organization (WHO) limits. Highlighting mobility concerns is an eye-opening statistic from Los Angeles in 2017: Residents spent an average of 102 hours sitting in traffic. Smart technology “The Smart City of Today can enable rich and diverse use cases,” says Hanson. Examples include AI-enabled traffic signals to help reduce air pollution, and machine learning for public safety such as real-time visualisation and emergency response. Public safety use cases include smart and connected outdoor lighting, smart buildings, crime prevention, video wearables for field agents, smart kiosks and detection of noise level, glass breaks and gunshots. Smart technology will make indoor spaces safer by controlling access to a building with keyless and touchless entry. In the age of COVID, systems can also detect face mask compliance, screen for fever and ensure physical distancing. 2020 was an inflection point when technology and the smart cities market were ripe for disruption, Kasia Hanson told the MIPS 2021 audience. Video solutions Video workloads will provide core capabilities as entertainment venues reopen after the pandemic. When audiences attend an event at a city stadium, deep learning and AI capabilities analyse customer behaviours to create new routes, pathways, signage and to optimise cleaning operations. Personalised digital experiences will add to the overall entertainment value. In the public safety arena, video enables core capabilities such as protection of people, assets and property, emergency response, and real-time visualisation and increased situational awareness. Video also provides intelligent incident management, better operational efficiency and faster information sharing and collaboration. Smart video strategy Intel and Milestone provide video solutions across many use cases, including safety and security Video at the edge is a key element in end-to-end solutions. Transforming data from various point solutions into insights is complicated, time-consuming and costly. Cities and public venues are looking for hardware, software and industry expertise to provide the right mix of performance, capabilities and cost-effectiveness. Intel’s smart video strategy focuses around its OpenVINO toolkit. OpenVINO, which is short for Open Visual Inference and Neural network Optimisation, enables customers to build and deploy high-performing computer vision and deep learning inference applications. Intel and Milestone partnership – Video solutions “Our customers are asking for choice and flexibility at the edge, on-premises and in the cloud,” said Hansen in her presentation at the virtual conference. “They want the choice to integrate with large-scale software packages to speed deployment and ensure consistency over time. They need to be able to scale computer vision. Resolutions are increasing alongside growth in sensor installations themselves. They have to be able to accommodate that volume, no matter what causes it to grow.” As partners, Intel and Milestone provide video solutions across many use cases, including safety and security. In effect, the partnership combines Intel’s portfolio of video, computer vision, inferencing and AI capabilities with Milestone’s video management software and community of analytics partners. Given its complex needs, the smart cities market is particularly inviting for these technologies.

Historically, concerns about inclusion and diversity have not been widely discussed in the security market. In the last couple of years, however, the Security Industry Association (SIA) and other groups have worked to raise awareness around issues of diversity and inclusion. Specifically, SIA’s Women in Security Forum has focused on the growing role of women in all aspects of security, and SIA’s RISE community has focused on “rising stars” in an industry previously dominated by Baby Boomers. The next generation of security leaders There is a business case to be made for diversity and inclusion, says a report by McKinsey & Company. According to the management consulting company, gender-diverse companies are 24% more likely to outperform less diverse companies, and ethnically diverse companies are 33% more likely to outperform their less diverse counterparts. Furthermore, the “next generation of security leaders” – employees under 30 – are particularly focused on diversity and inclusion. Diversity refers to the traits and characteristics that make people unique A panel discussion at ISC West’s Virtual Event highlighted aspects of inclusion and diversity, starting with a definition of each. Diversity refers to the traits and characteristics that make people unique. On the other hand, inclusion refers to the behaviour and social norms that ensure people feel welcome. “We are all on a journey, and our journey takes different paths,” said Willem Ryan of AlertEnterprise, one of the SIA panelists. “There are opportunities to improve over time. We can all change and increase our ability to have a positive impact.” Industry responsibility The industry has a responsibility to the next generation of industry leaders to address issues of inclusion and diversity. Forbes magazine says that millennials are more engaged at work when they believe their company fosters an inclusive culture. So the question becomes: How do we unify and create opportunities to work with and champion tomorrow’s leaders? SIA is driving change in our industry to achieve that goal. More women are active in SIA than ever before. The SIA Women in Security Forum now has 520 members, said Maureen Carlo of BCD International, the SIA Women in Security Forum Chair and another panelist. Also, more women than ever are chairing SIA committees and serving on the SIA Board of Directors. More women than ever are chairing SIA committees Overcoming unconscious bias Former SIA Chairman Scott Shafer of SMS Advisors, another of the panelists, noted that SIA awarded the Chairman’s Award to the Women in Security Forum in 2019, and to the RISE community steering committee in 2020. “There are lots of ways we are seeing the elevation of women and ethnic groups in the security industry,” said Shafer. One topic of interest is the problem of “unconscious bias,” which can be overcome by looking at something through some else’s lens. Ryan suggested use of the acronym SELF –  Slow Down, Empathise, Learn, and Find commonalities. Ryan recalled the value of being mentored and having someone shepherd him around the industry. “Now I want to give back,” he said. “We need to look at the things we can change in ourselves, in our company, in our communities, and in our industry. Change comes from the bottom and the top.” Increasing representation “It takes all of us to increase representation everywhere,” said Kasia Hanson of Intel Corp., another panelist. “We have in common that we are all human beings. Let’s make sure the next generation all have opportunities.” Diverse companies can attract better talent Moving forward, the panelists urged the industry to get involved and create opportunities because inclusion drives diversity. Diverse companies can attract better talent and attain a competitive advantage. Awareness of unconscious bias, and working to eliminate it, is an important element of change. Despite the progress the security industry is making, change continues to be incremental. As Ruth Bader Ginsburg has said, “Real change, enduring change, happens one step at a time.”