• Combined Fixed Wireless Access (FWA) and satellite connections support in the VMware VeloCloud Edge 710 appliance as well as the new VMware VeloCloud Edge 720 and 740 appliances.
• VMware VeloCloud SASE, secured by Symantec enhancements featuring the integration of VeloCloud and Symantec points of presence (PoPs).
• VMware Edge Compute Stack product enhancements.

According to IDC, worldwide spending on edge computing is expected to be $232 billion in 2024, an increase of 15.4% over 2023. Edge computing is expected to play a pivotal role in the deployment of AI applications. (1) Broadcom is evolving its software-defined edge portfolio to help enterprises address the growth of AI and non-AI workloads at the edge. Edge AI workloads are deployed at geographically dispersed locations to enhance business operations in order to reduce costs, increase sales or improve compliance. Unlike traditional IT workloads which are centralized at the data center, Edge AI workloads such as video inference cameras, industrial control systems, and other OT (Operational Technology) devices and applications are deployed locally and are largely autonomous, they are orchestrated rather than administered, they consume data where it’s being created, and are driven by the lines of business.

Broadcom defines the software-defined edge as distributed digital infrastructure for connecting, securing and running workloads across a number of locations, close to endpoints that are producing or consuming data. It extends to where the users and devices are – in the office, on the road, in a cell site, at a retail store or on the factory floor. Broadcom addresses the three layers of the software-defined edge: the edge compute stack which hosts the applications and workloads; the intelligent overlay where connectivity and security services run across the WAN; and the underlay network layer, which runs the software for network connectivity across fixed and 5G networks to provide orchestration and network programmability.

“We’re focused on enabling enterprises to adopt Edge AI workloads,” said Sanjay Uppal, vice president and general manager, Software-Defined Edge Division, Broadcom. “We’ve announced support for Fixed Wireless Access and satellite connections in VMware VeloCloud Edge to deliver critical, blended connectivity for OT devices as well as AI and non-AI edge workloads. We uniquely offer enterprises a good, better, best approach to connectivity at the edge by allowing them to tweak real-time WAN performance, gain insights from the network, and program the network. This convergence of the underlay network enables enterprises to build networks in minutes to support today’s and tomorrow’s workloads.”

Integrated FWA and Satellite Support to Enhance Connectivity for Edge AI Workloads
To address the need for more robust connectivity to support edge computing and Edge AI workloads, Broadcom today announced enhancements to the VMware VeloCloud Edge 710 appliance as well as introduced new VMware VeloCloud Edge 720 and 740 appliances. VeloCloud Edge 710 now provides enterprises with a combination of broadband, FWA, and satellite connections to significantly improve real-time voice, video, and application traffic – delivering enhanced connectivity at the edge. This blended connectivity provides enterprises with redundant, always-on connectivity for edge devices and workloads. Additionally, Communication Service Providers (CSPs) can use the VeloCloud Edge 710, 720, and 740 appliances to further modernize their infrastructure and monetize their services by delivering a premium, combined SD-WAN, FWA, and satellite offering to enterprise customers in support of their edge deployments. CSPs running both VeloCloud SD-WAN and VMware Telco Cloud Platform benefit from the ability to program the real-time performance of their WAN using insights from their networks. Read more in the blog post, “Unveiling the Future of Networking: VMware VeloCloud SD-WAN Edges 710-5G, 720, and 740.”

PoP Integration Boosts Enterprise Connectivity to the Cloud
To better assist enterprises with cloud connectivity, Broadcom today announced initial integration of VeloCloud SD-WAN points of presence (PoPs) with Symantec PoPs. This integration will further automate cloud access without compromising performance and security. VeloCloud SASE, secured by Symantec customers will also benefit from higher bandwidth and availability, lower latency, and global reach to major cloud and SaaS providers. Earlier this year, Broadcom announced the availability of VeloCloud SASE, secured by Symantec—a single-vendor SASE solution. The solution is a culmination of a joint effort to integrate best-in-class VeloCloud SD-WAN and Symantec Security Service Edge (SSE) capabilities—extending significant benefits to Broadcom’s VeloCloud and Symantec customers.

Simplifying Edge AI Workload Deployment and Lifecycle Management
The distributed nature of the edge produces numerous challenges for enterprises and their respective IT teams—from managing edge devices, applications, and infrastructure across multiple if not hundreds or thousands of locations. Enterprises are investing in solutions that enable zero-touch provisioning and application lifecycle management to accelerate the turnkey deployment of secure edge environments. An edge-optimized runtime and orchestration platform, VMware Edge Compute Stack delivers frictionless management of edge apps and infrastructure across many sites with limited resources. With its latest two releases, VMware Edge Compute Stack delivered critical capabilities to efficiently manage infrastructure and applications including Edge AI apps and workloads such as Small Language Models (SLMs) at dispersed sites, including: 

• Zero-Touch Orchestration: VMware Edge Cloud Orchestrator simplifies deployment and application lifecycle management across multiple sites by leveraging GitOps and desired state management. By automating these processes, enterprises enable consistent and efficient operations, even with limited IT resources.
• Pull-Based Architecture: Hosts always initiate the communication to the management plane as a keepalive, and also to fetch any changes to its configuration. This architecture puts less burden on the management plane, allowing it to achieve a much higher scale.
• Edge Infrastructure and Application Monitoring: It configures metrics gathering and transmission for infrastructure, virtual machines, and Kubernetes-based workloads. Customers can achieve comprehensive local edge monitoring in minutes with the included sample implementation of industry-standard monitoring tools and pre-built dashboards. 

These capabilities simplify deploying and managing Edge AI workloads enabling enterprises to more quickly realize the business benefits of their Edge AI investments. The recent release of VMware Edge Compute Stack 3.6 delivered additional new features to make it even easier to deploy and manage the edge at scale.

For the latest news and more from VMware Explore, the industry’s essential cloud event, visit the VMware Explore 2024 Las Vegas media kit.

Supporting Quote
“We’re aligned with Broadcom’s Edge AI approach,” said Keith Bradley, vice president, IT and Security, Nature Fresh Farms. “We rely on IoT devices at the edge — in our greenhouses and other facilities — to monitor and capture data used to keep millions of growing plants healthy. The 5G and broadband connectivity capabilities of VMware VeloCloud SD-WAN enable us to connect and tie together all our facilities across Canada and the U.S., while VMware VeloCloud SD-Access provides consistent connectivity, performance, and security capabilities to IoT devices deployed in remote locations. With these solutions, we’ve improved our farm-to-fork time to deliver better tasting, higher quality produce to our customers.”

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Product counting and color detection with machine vision

Machine vision is gradually replacing manual inspection because of its efficiency and accuracy in high-speed product inspection, counting, and color and variety identification. The DV-1100 has the performance capabilities for these tasks, with up to 13/12 generation Intel® Core i9 (Raptor Lake-S / Alder Lake-S) processor with 24 cores, the UHD 770 with Intel® Xe architecture for superior GPU image classification inference performance, up to 32GB DDR5 memory (4800MHz), and high-speed NVMe solid-state drives. The DV-1100 also has high-speed I/O interfaces (2.5G LAN and 10Gbps USB3.2 Gen2x1) to connect peripheral devices such as cameras, sensors, and light sources. The DV-1100 has multiple international certifications, including the US UL safety certification and the EMC standard for industrial environments (EN 61000-6-2/4), ensuring uninterrupted and stable operation in harsh environments.

Parking lot license plate recognition

In parking lot management, the license plate recognition system automatically identifies the license plate numbers of vehicles entering and exiting, and controls the entry and exit gates, improving management efficiency and convenience. As the key of the license plate recognition system, the DV-1100’s high computing performance enables real-time image processing, and with a compact size of only 224.1 x 162 x 62 mm, there is no need to worry about limited installation space. Storage needs for large amounts of license plate image data are handled by the DV-1100’s built-in 2.5″ HDD/SSD slot for large-capacity storage. Additional expansion is enabled through M.2 Key B, M.2 Key E, and M.2 Key M slots for adding wireless communication (5G, WiFi, GNSS) and additional storage functions as needed. The DV-1100 also has high-standard industrial-grade protection and supports wide temperature (-40°C to 70°C) and wide voltage (9 to 48 VDC), which is particularly suitable for outdoor parking lot license plate recognition.

Automatic mail sorting machine

Modern postal companies use automatic mail sorting machines with optical character recognition (OCR) technology to quickly classify mail and speed up processing. The DV-1100 can connect to various external devices, such as sensors, cameras, and scanners through its native I/O (2x LAN, 6x USB, 2x COM) and additional I/Os (such as HDMI, DisplayPort, COM, and DIO) added using Cincoze’s exclusive expansion module technology. The DV-1100 also provides multiple industrial protections for automatic mail sorting machines during operation, such as overvoltage, overcurrent, and ESD protection. It also complies with the US military anti-shock vibration standard (MIL-STD-810H), ensuring high reliability and stability in an operating environment with continuous vibrations.

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The growing importance of agility and operational efficiency has helped introduce serverless solutions as a revolutionary concept in today’s data processing field. This is not just a revolution, but an evolution that is changing the whole face of infrastructure development and its scale and cost factors on an organizational level. Overall, For companies that are trying to deal with the issues of big data, the serverless model represents an enhanced approach in terms of the modern requirements to the speed, flexibility, and leveraging of the latest trends.

1. Understanding Serverless Architecture

Working with serverless architecture, we can state that servers are not completely excluded in this case; instead, they are managed outside the developers’ and users’ scope. This architecture enables developers to be detached from the infrastructure requirements in order to write code. Cloud suppliers such as AWS, Azure, and Google Cloud perform the server allocation, sizing, and management.

The serverless model utilizes an operational model where the resources are paid for on consumption, thereby making it efficient in terms of resource usage where resources are dynamically provisioned and dynamically de-provisioned depending on the usage at any given time to ensure that the company pays only what they have consumed. This on-demand nature is particularly useful for data processing tasks, which may have highly varying resource demands.

2. Why serverless for data processing?

2.1 Cost Efficiency Through On-Demand Resources 

Old school data processing systems commonly involve the provision of systems and networks before the processing occurs, thus creating a tendency to be underutilized and being resource intensive. Meanwhile, server-less compute architectures provision resources in response to demand, while IaaS can lock the organization in terms of the cost of idle resources. This flexibility is especially useful for organizations that have prevaricating data processing requirements.

In serverless environments, cost is proportional to use; this means that the costs will be less since one will only be charged for what they use, and this will benefit organizations that require a lot of resources some times and very few at other times or newly start-ups. This is a more pleasant concept than servers that are always on, with costs even when there is no processing that has to be done.

2.2 Scalability Without Boundaries

 Extreme success in autoscaling is one of the greatest strengths of serverless architectures. When the data processing tasks in question may have unpredictable bursts of data – for example, when you have to process a great number of records at once, or run periodic batch commands, having the serverless architecture like AWS Lambda or Azure Functions will automatically scale to meet the demand that has to be processed. However, even in large fields, this scalability shall not only be characterized by the ability to manage the huge amounts of data generated but also the extent to which this will be possible with very little delay and at the highest possible level of efficiency.

Since the massive compilation can be processed in parallel, they get around the limitations of traditional architectural structures and deliver insights much earlier. This is important, especially for firms that depend on input processing for real-time data processing for decision purposes, such as firms dealing in finance, e-commerce, and IoT.

2.3 Simplified Operations and Maintenance

Outsourcing server management makes it easier for teams to focus on the creation of central functions for the application rather than being overwhelmed with technological issues. As for deployment, updates, and monitoring, serverless architectural approaches provide inherent tools that make these operations easy.

Including a scaling of application, self-healing properties, and runtime environments imply that operational management is kept to a minimum. In data processing, it means more efficacious and predictable utilization as the infrastructure learns in an instant about the requirements of the application.

2.4 Innovation Through Agility 

Serverless architectures enable the use of possible multi-tenant services because they introduce possible custom deployment for new compute-oriented data processing workloads. There are no expensive configurations, no infrastructure to purchase, which must also be repaid in the long run, and no time-consuming installation.

Serverless functions are easily designed to work independently with a very loose coupling; thus, it follows the microservices model, whereby the various components of a system, in this case a data pipeline, can be developed and deployed independently. This kind of agility is important specifically for organizations that, in one way or another, have to quickly respond to market shifts or have to incorporate new technologies into their processes.

2.5 Security and Compliance 

Security and compliance are not a factor of discussion when it comes to data processing and management. Serverless architectures have microservices and management instruments that include auto-update, patch, and encrypt, as well as the privilege controls. The underlying infrastructure of a multi-tenant cloud is secured by the cloud providers so that organizations can focus on data and application logic.

Moreover, commonly used serverless solutions are compliance-certified solutions, so businesses do not have to search for compliance themselves. This is especially valid when it comes to fields such as finance, medicine, or government, which require high levels of compliance when it comes to data processing.

3. Advanced Use Cases of Serverless Data Processing

3.1 Real-Time Analytics 

Integration of real-time analytics requires that the data is analyzed as soon as it is received, making serverless architecture suitable because of its scalability for throughput and low latency. Some of the use cases that could be well served by this kind of application are fraud detection, stock trading algorithms, and real-time recommendation engines.

3.2 ETL Pipelines 

Data acquisition, preparation, and loading procedures are collectively referred to as Extract, Transform, Load (ETL) workflows. Serverless architectures enable As such, there is an opportunity to process large data volumes in parallel with ETL jobs to become faster and cheaper. The fact of scaling and resource management, which is provided by serverless platforms, allows achieving accumulation of ETL processes and their working without interruptions and slowdowns with regard to the size of the load.

3.3 Machine Learning Inference 

Deploying a model for inference on a serverless platform is much cheaper and quicker than deploying them on a conventional platform. In serverless architectures, resources are also self-sufficient when it comes to the computing needs of complex models, thus enabling easy deployment of machine learning solutions at scale.

4. Overcoming Challenges in Serverless Data Processing

Despite the numerous benefits provided by serverless architectures, there are some issues that need to be discussed. There could be increased cold start latency because when the function is invoked for the first time, it takes more time to bring up resources due to this latency, which can be an issue in latency-sensitive systems. On top, due to the stateless nature of serverless functions, stateful operations can be challenging and hence may have to be handled outside the functions by using resources such as databases.

Nonetheless, these concerns could be addressed through architectural guidelines, for instance, applying warm-up techniques for lessening the cold start time or employing managed stateful services that can easily connect to serverless functions.

5. Looking Ahead: The Future of Serverless Data Processing

In the era where more and more large and small organizations turn to serverless solutions, the approaches to data processing will inevitably change as well. When serverless computing is married with other technologies such as edge computing, artificial intelligence, and blockchain, then it opens up new prospects for data processing.

The change to serverless is not just technical anymore, but rather a significant change in organizational adoption of both platforms and applications. Those pursuing the art of decision-making based on big data will also need to adopt serverless architectures to survive in the long run.

6. Strategic Leverage for Competitive Advantage

Serverless architectures provide the organizations an edge to survive in the ever-increasing digital economy environment. Since serverless models are more cost-effective, easily scalable, and operate in a highly efficient manner, companies need to unlock the ability to process data in near real-time and progress the innovation curve even further. As it stands today, data has become a new form of oil that cannot be converted into the physical world, but rather, a form of oil that, in the modern world, cannot be processed and analyzed without the need for a specialized set of tools. Subsequently, as the world continues to advance digitally, serverless architectures will not bypass the chance to better the existing peculiarities of data processing.

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Acquisition strengthens ePlus Services portfolio across North America

ePlus inc. (NASDAQ NGS: PLUS – news) today announced that its subsidiary, ePlus Technology, inc., has acquired Bailiwick Services, LLC (Bailiwick). Based near Minneapolis, Bailiwick is a highly-skilled provider of professional and managed services with nearly 30 years in the business. Bailiwick specializes in serving enterprise customers that operate large store, branch, and campus footprints predominantly in the retail, financial services, restaurant, and hospitality vertical markets.

As one of the largest providers of outsourced IT integration and deployment services across North America, Bailiwick’s expertise helps organizations enhance operations and end-user experiences across their operations, including through edge computing, physical security, AV, logistics, and other transformative digital experiences.  

“Continuing to develop and enhance our Services business is an important part of our growth strategy,” said Mark Marron, CEO and president of ePlus inc. “This acquisition opens many doors for customers of both organizations, offering a full spectrum of technology solutions and services through one provider. Bailiwick will be a wonderful complement to our business and our Services portfolio and we welcome them to the team.”

“As technology evolves and consumer-facing organizations embrace AI and other areas to enhance the experiences they can provide their customers, having a parent company like ePlus provides an incredible depth of resources that will benefit them,” said Bob Marko, CEO and president of Bailiwick. “Our decades of experience now combined with the acquisition by ePlus means that our customers can access and enjoy the expanded capabilities, talent and skill sets that a global provider can offer.”

The acquisition of Bailiwick closed on August 19, 2024. Bailiwick is a wholly-owned subsidiary of ePlus Technology, inc. Terms of the transaction were not disclosed.

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Scale Computing, a market leader in edge computing, virtualization, and hyperconverged solutions, today announced that it won a 2024 CRN Annual Report Card (ARC) Award in the Hybrid Cloud Infrastructure category from CRN^®, a brand of The Channel Company. This is the sixth consecutive year Scale Computing has been recognized as a CRN ARC Award winner, and the company once again swept all subcategories, including Product Innovation, Support, Partnership, and Managed & Cloud Services.

Among the most prestigious honors in the IT industry, CRN’s ARC Awards recognize vendors who are committed to growing the IT channel through technology innovation and partner relationships. The award is based on solution provider evaluations of technology vendors’ efforts to design channel-friendly product offerings, develop high-value partner benefits, and foster long-term, successful partnerships.

“We are honored to receive a CRN ARC Award for the sixth year in a row as it is a true testament to our continued investment in our partner community,” said Jeff Ready, CEO and co-founder of Scale Computing. “To win the Hybrid Cloud Infrastructure category and sweep all subcategories underscores our unwavering commitment to excellence and investment in making our partner community successful. There has been a lot of uncertainty in the market this year, but we have proudly stayed true to our core values of being a channel-first organization and setting new standards in both customer and partner satisfaction.”

The ARC Award win comes on the heels of other major channel award recognitions for Scale Computing, including CRN Tech Innovator finalist, Channel Chief, Women of the Channel, and a CRN Partner Program Guide 5-star rating. Ready was also recently named the number one IT Innovator and Scott Mann named a Top 25 Channel Sales Leader in CRN’s Top 100 Executives list. The company is also currently offering two VMware alternative promotions. New and current partners looking to switch customers to Scale Computing can participate in the VMware Rip & Replace promotion and receive a 25% discount on Scale Computing software and services for each new customer implementation. VMware customers seeking VMware Alternatives can transfer existing software licenses and exchange existing hardware through the Seamless Switch: Trade-Up to Scale Computing promotion.

The award-winning Scale Computing Platform (SC//Platform) brings together simplicity and scalability, replacing existing infrastructure and providing high availability for running workloads in a single, easy-to-manage solution. SC//Platform eliminates complexity, lowers costs, reduces management time, and maximizes uptime, delivering faster time to value than competing solutions and enabling organizations to run applications in a unified environment that scales from 1 to 50,000 servers.

The ARC Awards highlight the top-performing vendors in one or more of the 27 technology product categories or four subcategories: product innovation, support, partnership, and managed and cloud services. Survey participants rated 58 vendor partners across 27 technology product categories, evaluating satisfaction levels in four main subcategories and 22 criteria, including GenAI, ease of integration, marketing support, and partner communication.

“We’re thrilled to recognize technology vendors who partners have selected as the gold standard for products, services, and programs that support solution provider success in the channel,” said Jennifer Follett, VP, U.S. Content, and Executive Editor, CRN, The Channel Company. “The winners of this year’s CRN Annual Report Card Awards demonstrate continuous dedication to building strong partnerships and delivering long-term value and opportunity for their solution provider partners. Congratulations to all the winners for this notable achievement and unwavering commitment to excellence.”

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mimik ai introduces a cloud-native operating environment featuring a generative AI runtime and a comprehensive suite of on-device microservices. This transformative solution redefines how AI is utilized by OEMs, AI model providers, and developers across all applications and market segments.

“Our goal with mimik ai is to empower enterprises and developers to achieve their business and development objectives securely, efficiently, and rapidly,” said Fay Arjomandi, Founder and CEO of mimik. “AI and Automation are breaking down the siloed apps into collaborative solutions. mimik ai offers unparalleled flexibility, enabling businesses to grow profitably while maintaining full control over their data and operations. This launch represents a significant shift in accelerating the industry, paving the way for OEMs, AI model providers, and developers to lead in deployment of next-generation intelligent solutions.”

Key Features of mimik ai:

• Offline-First: Reduce costs and cloud dependency, improve energy efficiency, and enhance sustainability by accessing the cloud only when necessary.
• Enhanced Security/Data Privacy: On-device data processing ensures secure transactions directly from the endpoint device.
• On-Device API: Industry-standard, easy to interface, with the fastest integration and interoperability.
• Multi-Cloud and Multi-AI Support: Agnostic, flexible, and expandable to meet various industry needs.
• AI-to-AI Communication: Increases response quality and value with multi-AI support, enabling seamless interaction between different AI models.
• Zero-Config Service Mesh: Facilitates ad hoc node discovery, eliminates IT configuration costs, and offers a plug-and-play approach for rapid deployment.

“We are thrilled to introduce mimik ai to the market,” added Sam Miri, CRO at mimik. “Our team has worked tirelessly to develop a product that not only meets the current needs of our customers, but also anticipates the future demands of the rapidly evolving AI landscape. With mimik ai, we are empowering businesses to harness the full potential of AI directly at the computing nodes.”

mimik ai delivers a versatile and powerful solution to meet the growing demand for hybrid edge AI capabilities across all industries and application, such as enterprise, IoT, Smart City, Software Defined Vehicle Automotive, Offshore and fleet operation, healthcare and any generic native app development. It enhances real-time decision-making, on-device processing, and data privacy while enabling seamless collaboration and efficiency across all applications —unleashing a seamless hybrid edge intelligence.

To learn more about mimik ai product, visit https://mimik.com and https://developer.mimik.com, and download mimOE.ai to start your design. Request a demo or contact our sales team today. Experience the future of AI integration with mimik ai.

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Caregility Corporation, an enterprise telehealth leader dedicated to connecting care for patients and clinicians everywhere, is excited to announce the release of new fall risk detection capability in its iObserver solution. Hospital care teams use iObserver for continuous observation of patients at risk of self-harm or falls. The new artificial intelligence (AI) capability, developed natively by Caregility, uses computer vision to analyze visual information, detect fall risks, and alert caregivers accordingly.

The Caregility platform allows AI technology to run entirely on telehealth edge devices in the patient room, eliminating the need to stream patient audio-visual data to the cloud. This approach ensures cost-effective, scalable solutions across thousands of rooms where Caregility endpoints are available today. Other comparable technologies face challenges related to bandwidth for video streams and the processing power needed to scale across numerous rooms. Most importantly, this purposeful application of computer vision technology underscores Caregility’s commitment to responsible AI, as visual data is processed locally, safeguarding data protection and privacy.

“Our open and adaptable platform allows us to develop native AI capabilities when possible while also evaluating other third-party solutions to determine if they can add value to caregivers’ workflows,” said Kedar Ganta, Caregility’s Chief Product and Engineering Officer. “This flexibility keeps us at the forefront of AI advancements without being locked into a single solution.”

“We’re redefining the future of telehealth with AI-powered edge computing,” said Bin Guan, Caregility’s Chief Innovation Officer. “By breaking down traditional barriers to AI adoption, we’re enabling healthcare providers to leverage cutting-edge technology without sacrificing operational efficiency or data privacy.”

“This breakthrough in AI at the edge is confirmation of Caregility’s ability to innovate,” added Mike Brandofino, Caregility’s President and Chief Operating Officer. “At the same time, no company can provide all the technology required to deliver on the modernization of care. Caregility remains committed to integrating with other AI technology partners where it makes sense in order to bring value and flexibility to our customers. This ultimately provides them with a foundational platform they can build on for the foreseeable future.”

Caregility’s computer vision capability is available to be used on every one of the more than 15,000 Caregility edge devices currently installed in hospitals around the globe. This is a testament to the value and durability of Caregility’s purpose-built devices, called Access Point of Care Systems (APS). The first APS system ever deployed by the company is still running after six and half years in continuous operation, proving that choosing Caregility means that health systems will have a future-proof solution that can adapt as new technology is introduced.

“Our approach to AI involves understanding the challenges our customers face and then identifying where technology can play a role,” said Ganta. “We believe that combining our video AI and audio AI with specialized third-party solutions, such as contactless vitals tracking, can provide caregivers with valuable insights to improve patient outcomes. By leveraging our edge devices and avoiding the challenges of cloud-based AI, we can achieve faster and more accurate results with our proprietary technology.”

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ZEDEDA, the leader in edge management and orchestration, today announced strategic partnerships with Anthosa Consulting and Centreon to deliver cutting-edge operational technology (OT) enhancements across Asia, Australia and New Zealand.

This collaboration brings together complementary capabilities to provide full visibility into IT and OT assets, securely orchestrate distributed workloads, and conveniently manage edge computing deployments. It simplifies the implementation of critical technologies that drive real business value, such as AI, while addressing challenges of edge environments like poor security, low bandwidth and intermittent connectivity.

“This partnership will enable customers to jump-start their edge deployments, making it easier for them to take advantage of technologies like AI/ML and quickly see real business impact,” said Michael Maxey, Vice President of Technical Business Development at ZEDEDA.

“The truly special aspect of this partnership is that each company brings complementary capabilities to gain visibility, securely orchestrate and conveniently manage workloads for driving IT/OT transformations,” said Anthosa Consulting’s founder, Chamara Somaratne. “The prospect of how this enables intelligence at the edge and realizes the benefits of AI/ML for transforming operations and improving services is inspiring.”

“Together, we’re easing the complexities of deploying edge solutions in Asia, Australia and New Zealand by offering complete services from conceptualization to implementation of a future-proofed hybrid infrastructure,” said Marc-Antoine Hostier, Centreon’s chief operating officer. “It integrates Centreon’s observability platform and Anthosa’s strategy accelerators to speed up the transformation of OT for complex industrial environments, leveraging AI/ML to optimize business operations.”

The 2024 Gartner CIO and Technology Executive Survey found that 94% of Australian and New Zealand CIOs and technology executives planned to implement AI and machine learning over the next two years, and 78% expected to increase their investment in business intelligence and data analytics this year.

For more information about this partnership, join the webinar “Intelligence On The Edge – How Can AI/ML Transform Your Operations?” on Aug. 15 at 9:30 a.m. AEST.

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SmartCow, an innovator in artificial intelligence (AI) engineering and edge computing, announced that it has obtained ISO 9001:2015 certification for its production center. SmartCow had previously achieved ISO 9001 certification. This new certification underscores the company’s commitment to providing high-quality production and maintaining excellence in its products and services.

Ravi Kiran, CEO of SmartCow, stated, “Achieving the ISO 9001:2015 certification for our production center is a significant milestone for SmartCow. This certification reaffirms our dedication to delivering our customers the highest quality products and services. We are committed to continuous improvement and setting industry standards for excellence.”

The ISO 9001:2015 certification is awarded to organizations that demonstrate the ability to consistently provide products and services that meet customer and regulatory requirements and aim to enhance customer satisfaction through effective application of the system, including processes for improvement and assurance of conformity.

SmartCow underwent a rigorous evaluation process that included the establishment of a quality management system, a management system documentation review, pre-audit, initial assessment, and clearance of non-conformances. The process culminated in a comprehensive final audit conducted by an independent certification body.

“We are incredibly proud of our team for their hard work and dedication in achieving this certification,” said Ravi Kiran. “This accomplishment reflects our unwavering commitment to quality and to our clients’ success.”

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“Forward-facing cameras are a key component of any truck safety program and a requirement for member carriers to qualify for reduced insurance rates under ICSA’s risk purchase group program,” said Karen Rasmussen, Executive Director at ICSA. “Our Board of Directors determined that carriers already using any of four approved major camera brands are not required to buy cameras from ICSA. Those members who still need to purchase cameras can qualify for a substantial discount from Netradyne.”

Most industry safety experts believe videos from on-road incidents are excellent coaching tools that can help even veteran drivers become better behind the wheel. With its advanced artificial intelligence and high-resolution video, Netradyne’s fleet safety solutions offer an excellent option for ICSA members to coach drivers and retain video evidence in case of a lawsuit.

“We are thrilled to partner with ICSA to bring sophisticated safety tools to small fleets and owner-operators,” said Adam Kahn, president of Netradyne. “The Driver•i device records and analyzes the entire drive. This, combined with premium AI and edge computing, enables it to understand the cause of events, recognize good driving, and offer specific suggestions for improvement.”

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