Amazon Web Services - Experts & Thought Leaders

Nutanix, a pioneer in hybrid multicloud computing, announced it has been recognised as a Leader in the 2025 Gartner Magic Quadrant for Distributed Hybrid Infrastructure. The recognition marks Nutanix’s third time in this Magic Quadrant, and its second time as a Leader. Lee Caswell, SVP, Product & Solutions Marketing at Nutanix, said, “We feel our positioning on both vision and execution in this year’s Gartner Magic Quadrant for Distributed Hybrid Infrastructure is a direct reflection of our relentless focus on innovation and customer success.” Customers to deploy AI NCP solution enables organisations to run applications and manage data anywhere The Nutanix Cloud Platform (NCP) solution enables organisations to run applications and manage data anywhere, including through an expanded public cloud presence supporting Amazon Web Services (AWS), Microsoft Azure, and, most recently, the public preview of Google Cloud. It also supports external storage and Kubernetes®, and enables customers to deploy AI. Organisations worldwide, including across the financial services, healthcare, public, manufacturing, and retail sectors, are using NCP. Virtual desktop infrastructure California-based First Foundation Bank is an NCP customer and uses the platform to enable a hybrid environment for disaster recovery of its virtual desktop infrastructure. Adrian S. Darmawan, EVP and CTO at the bank, said, “The most valued feature of NCP is its scalability. If there is a disaster, more machines can be spun up quickly. With NCP, our capex is also lower since it is elastic, and we can turn on our disaster recovery solution during tests or when it is actually needed. We also benefit from licence portability because no matter where our machines or servers are located, we are able to licence the compute and storage.”

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.

Blackline Safety Corp., a pioneer in connected safety technology, announced the appointment of Vasi Philomin, Executive Vice President, Data and AI at Siemens, to its Board of Directors effective Sept. 11, 2025. Previously, Philomin served as Vice President & General Manager, Generative AI for Amazon. A pioneering voice in enterprise AI adoption across many industries, Philomin brings deep expertise in industrial AI and IoT platforms, with a proven track record of commercialising innovations at a global scale. His experience in scaling AI and hardware-enabled SaaS (HeSaaS) platforms supports Blackline’s focus on using connected data and AI to improve worker protection and productivity. Intersection of AI, cloud, and industrial technology “Vasi’s leadership at the intersection of AI, cloud, and industrial technology is uniquely aligned with Blackline’s mission to transform safety through connectivity and data-driven intelligence,” said Cody Slater, CEO and Chair of Blackline Safety. “His insights into AI and proven success in scaling HeSaaS businesses will bring invaluable expertise as we advance predictive safety, real-time situational awareness, and next-generation services that protect workers worldwide.” Blackline’s leadership in IoT-enabled safety Philomin leads Data and AI, where he is liable for accelerating the growth of the company’s AI portfolio Commenting on his appointment, Philomin said, “Blackline’s leadership in IoT-enabled safety — giving organisations the data they need to make better decisions — is truly inspiring. I’m excited to contribute to Blackline’s next chapter, helping unlock even more value from that powerful data to ensure every worker returns home safely.” In his current role at Siemens, Philomin leads Data and AI, where he is responsible for accelerating the development of the company’s AI portfolio across industrial applications. Previously, at Amazon, he spearheaded the creation of Amazon Bedrock, a platform that enables enterprises to rapidly build and scale generative AI applications. He also helped lead AWS’s generative AI and product strategy efforts, including the development and deployment of foundation models via Bedrock. Prior roles of Philomin  Before Amazon, Philomin pioneered connected lighting solutions at Philips for municipalities and global landmarks, including the Empire State Building and the Bay Bridge.  With more than 100 U.S. patents, he combines deep technical expertise with a proven ability to develop and commercialise innovations that deliver significant business impact. Philomin holds a Ph.D. in Computer Science and dual Master’s degrees in Mechanical Engineering and Computer Science from the University of Maryland.

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.

Retailers now often find themself in a precarious situation. Profit margins are being squeezed by widespread shoplifting: The Council on Criminal Justice reports that between the first half of 2023 and the first half of 2024, shoplifting reports increased by 24%. Meanwhile, the strategies used by shops to deal with this situation are alienating consumers and affecting total sales. Andy Jassy, the CEO of Amazon, stated during an earnings call that customers are now purchasing more pharmaceuticals from Amazon in response to other retailers locking their cabinets. Media reports This crisis impacts not only the large chains—more than 7,100 retail stores were closed in the U.S. in 2024, a 69% increase from the previous year—but also small, local businesses, whose profit margins are even narrower.  Media reports out of Los Angeles show that small businesses in regions with greater shoplifting rates are more likely to close, and small business owners' job satisfaction and general well-being are negatively impacted by the fear of crime. How to safeguard staff and inventory Unchecked retail theft demoralises staff and makes the store less attractive to customers This is obviously not a sustainable situation. In addition to lowering revenue, unchecked retail theft demoralises staff and makes the store less attractive to customers.  Unfortunately, making customers wait in line to enter a store or locking up toothpaste and deodorant only makes the customer relationship worse. Retailers need to figure out how to safeguard staff and inventory without alienating their customer base—and they need to figure it out fast. Advanced video security A new tool has come to the forefront of this fight: advanced video security. Of course, video surveillance has been used in stores for many years. However, the technology currently being used to reduce retail theft is very different from the outdated analog video systems of the past. With features like cloud-based flexibility and AI-enhanced analytics, this new generation of video surveillance systems has all the advantages of modern technological advancements, while also providing businesses with a competitive edge in the fight against retail theft. Security's new AI video standard Workers are constantly rushing from aisle to aisle in an effort to satisfy eager consumers Although the typical chain pharmacy may appear straightforward to the customer, retailers are aware of how intricate these spaces are. Hundreds or even thousands of shoppers may come and go on any given day, with a larger volume during busy seasons like holidays or special promotional events.  It's common for shoppers to pick up merchandise and put it down in another part of the store, often far away from its original location. Meanwhile, workers are constantly rushing from aisle to aisle in an effort to satisfy eager consumers, particularly during these busy seasons. How much can recorded videos reveal in a busy Using traditional CCTV, managers and security teams can monitor some of this activity, but their viewpoint of events will always be incomplete.  There is a limit to how much recorded videos can reveal in busy, fast-paced customer situations, and even the largest chain stores lack the staff and resources to continuously sort and evaluate all of the data they collect. When more customers are in the store for a special event, there’s also naturally a higher risk of theft. New generation of video security Using machine learning algorithms trained on large amounts of retail-specific data The new generation of video security aims to provide retailers with comprehensive intelligence that covers all aspects of their operations.  Using machine learning algorithms trained on large amounts of retail-specific data, they are focused on predictive actions and can recognise problematic behaviour in real time from raw video footage. AI-powered surveillance For example, if someone entered a store with empty bags but bypassed the cashier and started heading to the exit with a full bag, AI could predict a potential theft before it happens. Instead of just recording the theft, security action could be triggered in the moment. AI-powered surveillance is like an all-seeing security officer, quickly analysing the thousands of variables at play and spotting the warning signs of a possible crime before it happens. This is especially crucial during the holidays and busy shopping periods. Security personnel required to monitor cameras Imagine a chain store with 500 locations and 32 cameras each: that’s 1,600 cameras Cameras with AI can also alert human security personnel of events that would have otherwise been missed. Imagine a chain store with 500 locations and 32 cameras each: that’s 1,600 cameras. Now just imagine the number of security personnel required to monitor all of those cameras – when it comes down to it, traditional security is a numbers game. AI is the differentiator here that will allow retailers to win this game. VSaaS: A new tool to Deter Theft The emergence of Video Surveillance as a Service (VSaaS), a surprisingly under-discussed aspect of the broader SaaS revolution, is an important part of video security’s evolution. VSaaS solutions are especially helpful for chains that require a high level of centralisation and coordination across hundreds or even thousands of locations. In addition to offering action alerts at the shop level, VSaaS offers comprehensive security systems accessible from any location. This gives corporate headquarters access to complete, aggregated insights on all aspects of business operations. Identify the best ways to deploy staff Retail operators are constantly in a state of triage, rushing to identify the best ways to deploy staff This is significant in part because of the importance that social engineering and store layout have in preventing theft. Stores are frequently more busy during specific hours than others, and consumers may congregate in particular areas of the store while others are comparatively empty.  Retail operators are constantly in a state of triage, rushing to identify the best ways to deploy staff and organise inventory while accounting for all of these variables. Cloud-based VSaaS solutions Cloud-based VSaaS solutions help streamline this process by eliminating uncertainty, highlighting blind spots and bottlenecks, and informing retailers of what truly works.  Another regrettable reality is that employees frequently steal from businesses they work at.  Here, too, VSaaS solutions—when combined with sophisticated, integrated access controls—are essential. AI analytics technology Implementation and deployment of VSaaS is also easier and less costly than CCTV Implementation and deployment of VSaaS is also easier and less costly than CCTV. When new AI analytic updates become available, the client software and hardware don’t need to be upgraded, and the onsite technology and cameras also don’t need to be replaced. The AI analytics technology is upgraded in the cloud, enabling faster deployment and implementation of new technology. New VSaaS solutions Theft will always occur at some level; it's just a part of doing business. However, the growth in shoplifting that retailers have experienced in recent years is unacceptable, and if these figures keep rising, the consequences will be disastrous. In a time of dire need for retail, new VSaaS solutions have come to the forefront and are already turning the tide.

In the competitive world of physical access control, Big Tech companies are seeking to play a larger role. Physical access competition Apple Wallet continues to stake its claim on mobile credentialing. Amazon One Enterprise is pushing a palm-based identity service. Google/Nest offers smart locks for home access control, with identity and access management provided in the Google Cloud. The entry of these big companies in the historically fragmented physical access control market is causing disruption and foreboding new levels of competition.  Apple Wallet impacting credentialing trends  The popularity of mobile wallets and contactless technologies in general has grown, creating more demand At Apple’s Worldwide Developer Conference in June 2021, the company announced support for home, office and hotel keys, including corporate badges and student ID cards, in Apple Wallet. Later, the company announced Hyatt as the first hotel partner to support the technology. Since then, the popularity of mobile wallets and contactless technologies in general has grown, creating more demand for a seamless solution such as Apple Wallet. Easy access  In 2023, HID Global announced the availability of their employee badge in Apple Wallet, allowing staff and guests to easily access corporate spaces with their iPhone or Apple Watch, including doors, elevators, turnstiles, etc. Employees just need to hold their iPhone or Apple Watch near the reader to unlock.  Factors affecting the rate of adoption However, implementing and maintaining an Apple Wallet-based access control system can incur costs for hardware updates, software licencing, and ongoing maintenance. Factors affecting the rate of adoption include the need to upgrade existing infrastructures to accommodate the technology, and the necessity for access control manufacturers to develop and implement integrations with Apple Wallet.  Benefits of adoption Keys in Apple Wallet take full advantage of the privacy and security built into the iPhone and Apple Watch With larger companies leading the way, some smaller ones might take longer to catch up. There is also a need to educate building owners and administrators to see the value and benefits of switching to Apple Wallet-based access control. Convenience and greater security can accelerate adoption. Keys in Apple Wallet take full advantage of the privacy and security built into iPhone and Apple Watch. Sensitive data protection A compatible app, specific to the building’s access control system, is needed. Once added, credentials are securely stored in the iPhone's Secure Enclave, a dedicated hardware chip designed for sensitive data protection.  Holding an iPhone near an NFC-enabled reader enables transmission of encrypted credentials. In addition to Near Field Communication (NFC), some systems also utilise Bluetooth Low Energy (BLE) for added security, longer read range, and hands-free unlocking. Phones need sufficient battery charge to function.  Amazon One Enterprise Enables Palm-Based Biometrics  In November 2023, Amazon Web Services Inc. (AWS) announced an identity service providing comprehensive and easy-to-use authentication for physical and digital access control. The system enables users to employ their palm as an access control credential, allowing organisations to provide a fast and contactless experience for employees and others to gain access to physical locations as well as digital assets.  Physical and digital locations Physical locations include data centres, office and residential buildings, airports, hotels, resorts Physical locations include data centres, office and residential buildings, airports, hotels, resorts, and educational institutions. IT and security administrators can easily install Amazon One devices and manage users, devices, and software updates using AWS’s Management Console.  Elimination of physical credentials An advantage of the Amazon approach is the elimination of physical credentials such as fobs and badges, and digital elements such as personal identification numbers (PINs) and passwords. AWS says security is built into every stage of the service, from multi-layered security controls in the Amazon One device, which is the same technology used in the Amazon Go retail stores, where shoppers can pay for purchases by scanning the palm of their hands. The devices combine palm and vein imagery for biometric matching and deliver an accuracy rate of 99.9999%, which exceeds the accuracy of other biometric alternatives, says the company. AI and ML The palm-recognition technology uses artificial intelligence and machine learning to create a “palm signature” that is associated with identification credentials such as a badge, employee ID or PIN. Boon Edam, a revolving door and turnstile manufacturer, offers Amazon’s palm biometric technology on its equipment, and IHG Hotels & Resorts uses the technology to provide employees a convenient way to identify themselves and gain access to software systems. Google and Nest Devices in Access Control  When the Nest × Yale Lock is connected to the Nest app, a resident can unlock a door from their phone Google’s Nest devices include smart locks for home access control. The Google Nest × Yale Lock allows access control via both physical keys and passcodes accessible through the Google Home app. When the Nest × Yale Lock is connected to the Nest app, a resident can unlock a door from their phone. Passcodes can be created for family, guests, and other trusted persons. Alerts can be provided whenever someone unlocks and locks the door. When Nest “knows” a resident is away, the door can lock automatically. Voice control, Google Home app Voice control, using Google Assistant integrated with various Nest devices, enables use of voice commands to lock and unlock doors, thus adding another level of convenience. Smart home devices from various manufacturers can be controlled through the Google Home app. SMART Monitoring ADT’s Self Setup smart home security systems integrate Google Nest smart home products with ADT security and life safety technology, including SMART Monitoring technology. Microsoft Azure is another company that could impact access control. The Microsoft Azure Active Directory is an identity and access management platform that could be extended to physical access control, leveraging existing user credentials. Long-Range Impact on the Security Marketplace  Big Tech companies are creating platforms for managing access control data, integrating with other security systems Increasingly, Big Tech companies are creating platforms for managing access control data, integrating with other security systems, and offering analytics for optimising security and building operations. Big Tech is also actively researching and developing new technologies for access control, such as facial recognition, voice authentication, and AI-powered anomaly detection.  Access control communication and integration As their involvement in physical access control grows, Big Tech companies could potentially gain more influence in setting industry standards for access control communication and integration, similar to how they have become dominant in other areas such as mobile platforms. Given their expertise in user interface design and data analysis, Big Tech companies could help to direct how future access control systems are managed and how users interact with them, including more intuitive and user-friendly operations. Future of physical access control Existing concerns about privacy, security, and potential dominance by a few Big Tech companies could spill over into physical access control. However, traditional security companies, startups, and industry consortiums are also actively developing innovative solutions. Ultimately, the future of physical access control will likely be shaped by a combination of many different players and technologies – large and small.