Avnet announces IoT programme and marketplace

Channellife | January 14, 2020

Avnet is launching a new IoT-specific partner programme designed to provide developers with a place to build complete IoT solutions.

Using Avnet's IoTConnect platform, powered by Microsoft's Azure IoT Suite, developers can connect devices that address both the software and hardware needs of IoT solutions.

Avnet will be adding a comprehensive marketplace in the coming months, which will allow a developer to write IoT applications to its platform and offer them for sale.

"IoT is complex, with unique hardware, software and security requirements at every stage of the development cycle," says Avnet business transformation president Pete Bartolotta.

"With our partner programme and the upcoming marketplace, we are putting proven IoT solutions in the hands of partners and systems integrators so they can scale their own businesses and accelerate the adoption of IoT."

Spotlight

The brief report provides a positioning of developments in the area referred to as Industrial Internet of Things (IIoT) – loosely interpreting this as the industrial developments associated with the Internet of Things (IoT). IoT in turn describes the extension of the application of internet communications beyond computers and networked devices to also include the networking of everyday objects. In the context of industrial operations these objects are typically equipment, products and raw materials.


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ENTERPRISE IOT

aiSensing Deploys Highly Successful End-Point AI Vibration Sensor Using SensiML Analytics Toolkit and QuickLogic EOS S3

SensiML Corporation | July 27, 2022

SensiML™ Corporation, a leading developer of AI tools for building intelligent Internet of Things (IoT) endpoints, today announced that its customer, aiSensing, has successfully completed and deployed an endpoint AI-based vibration sensor for a large multi-national manufacturer in Asia. This intelligent endpoint monitors vibration patterns for multiple machines, detects potential anomalies, and issues maintenance requests when necessary. The result is reduced equipment downtime and higher overall factory productivity. Since the AI implementation is local, rather than cloud-based, the system features low cost, low latency and fast reaction times while simultaneously providing higher data security. aiSensing's customer is one of the largest and most successful manufacturing companies in Taiwan. It is the leading manufacturer of specialty adhesives, footwear adhesives, hot-melt adhesives, and liquid and powder coatings. The company has adopted this Edge AI-based approach to detect anomalies for vacuum pumps and chilling machines used in its manufacturing flow, including problems related to lack of lubrication, water leakage, bearing failures, and belt failures. By identifying potential problems before they arise, maintenance issues can be addressed in a managed way rather than as ad hoc emergency situations. This type of predictive maintenance is a key component of modern smart manufacturing initiatives. The AI-based endpoint was developed on a QuickLogic EOS S3 ultra-low power multi-core Arm Cortex MCU-based SoC, which delivered more than enough processing bandwidth for the application at a low cost. The AI application running on the QuickLogic device was built using the SensiML Analytics Toolkit, which provided a complete solution for the quick development of this sophisticated IoT endpoint. "Smart manufacturing is a significant trend across a broad range of industries, Predictive maintenance is one of the core initiatives in that trend, and aiSensing's vibration sensor is a great example of how to effectively use AI to implement a practical and cost-effective predictive maintenance solution." Chris Rogers, chief executive officer at SensiML "Our endpoint AI-based vibration sensor has been very successful," said Dennis Chu, chief technology officer at aiSensing. "Its low power consumption, fast response times, and low cost are the ideal combination of features for this predictive maintenance application. With the SensiML tools, we can easily modify the design to address new and unique requirements for our customers." The SensiML Analytics Toolkit, QuickLogic EOS S3 SoC, and aiSensing's endpoint AI vibration sensor are each available now. About SensiML SensiML, a subsidiary of QuickLogic (NASDAQ: QUIK), offers cutting-edge software that enables ultra-low power IoT endpoints that implement AI to transform raw sensor data into meaningful insight at the device itself. The company's flagship solution, the SensiML Analytics Toolkit, provides an end-to-end development platform spanning data collection, labeling, algorithm and firmware auto generation, and testing. The SensiML Toolkit supports Arm® Cortex®-M class and higher microcontroller cores, Intel® x86 instruction set processors, and heterogeneous core QuickLogic SoCs and QuickAI platforms with FPGA optimizations.

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ENTERPRISE IOT

More German Firms Seek IoT Services for Competitive Edge

ISG | August 18, 2022

German enterprise investment in the Internet of Things (IoT) is rapidly growing as companies see the technology as a strategic competitive advantage, according to a new research report published today by Information Services Group (ISG) (Nasdaq: III), a leading global technology research and advisory firm. The 2022 ISG Provider Lens™ Internet of Things Services and Solutions report for Germany finds the adoption of IoT solutions in Germany has increased significantly in the past three years as enterprises seek to optimize business processes, expand product offerings and improve customer experience. “German companies understand that enterprise-wide IoT delivers measurable added value, As technologies such as edge AI improve, they have even more reason to build and expand IoT solutions, especially as we see a greater convergence of IT and OT [operational technology].” Christian Decker, partner and EMEA lead, ISG Smart Manufacturing AI capabilities at the edge of an IoT network, especially on energy-efficient AI-optimized processors, allows data collected by sensors to be processed without transmission to more central data centers, the report says. ISG expects companies to expand the use of AI in connected devices in the coming years to reduce the latency and increase the scalability of IoT systems. The growth of IoT continues despite major challenges, including growing data security concerns, slow adoption of sustainability initiatives and especially a lack of qualified personnel in Germany, ISG says. German companies cite IoT as their steepest IT challenge, because it extends beyond traditional IT systems and can encompass components such as sensors, production equipment and medical devices. The shortage of skilled IT labor is leading many enterprises to seek managed IoT services, because maintaining vast networks of sensors and peripheral devices often under varying security standards is nearly impossible for corporate IT departments. “Managed services give companies the financial and operational flexibility to carry out more comprehensive IoT projects,” said Jan Erik Aase, partner and global leader, ISG Provider Lens Research. The report also explores a wide range of other issues around IoT in Germany, including the importance of careful project planning, proofs of concept and determining the legality of solutions that handle image data. The 2022 ISG Provider Lens™ Internet of Things Services and Solutions report for Germany evaluates the capabilities of 42 providers across five quadrants: Strategy Consulting, Implementation and Integration, Managed Services, Mobile Asset Tracking and Management, and Data Management and AI on the Edge. The report names Atos, Capgemini, Cognizant and Siemens as Leaders in all five quadrants. It names IBM as a Leader in four quadrants and Accenture and Bosch as Leaders in three quadrants each. HCL and TCS are named as Leaders in two quadrants each, and CANCOM, Deutsche Telekom, HPE, NTT, T-Systems and Vodafone are named as Leaders in one quadrant each. In addition, TCS is named as a Rising Star a company with a “promising portfolio” and “high future potential” by ISG’s definition in three quadrants. HPE is named as a Rising Star in two quadrants. The 2022 ISG Provider Lens™ Internet of Things Services and Solutions report for Germany is available to subscribers or for one-time purchase on this webpage. About ISG Provider Lens™ Research The ISG Provider Lens™ Quadrant research series is the only service provider evaluation of its kind to combine empirical, data-driven research and market analysis with the real-world experience and observations of ISG's global advisory team. Enterprises will find a wealth of detailed data and market analysis to help guide their selection of appropriate sourcing partners, while ISG advisors use the reports to validate their own market knowledge and make recommendations to ISG's enterprise clients. The research currently covers providers offering their services globally, across Europe, as well as in the U.S., Canada, Brazil, the U.K., France, Benelux, Germany, Switzerland, the Nordics, Australia and Singapore/Malaysia, with additional markets to be added in the future. For more information about ISG Provider Lens research, please visit this webpage. A companion research series, the ISG Provider Lens Archetype reports, offer a first-of-its-kind evaluation of providers from the perspective of specific buyer types. About ISG ISG (Information Services Group) (Nasdaq: III) is a leading global technology research and advisory firm. A trusted business partner to more than 800 clients, including more than 75 of the world’s top 100 enterprises, ISG is committed to helping corporations, public sector organizations, and service and technology providers achieve operational excellence and faster growth. The firm specializes in digital transformation services, including automation, cloud and data analytics; sourcing advisory; managed governance and risk services; network carrier services; strategy and operations design; change management; market intelligence and technology research and analysis. Founded in 2006, and based in Stamford, Conn., ISG employs more than 1,300 digital-ready professionals operating in more than 20 countries—a global team known for its innovative thinking, market influence, deep industry and technology expertise, and world-class research and analytical capabilities based on the industry’s most comprehensive marketplace data.

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ENTERPRISE IOT

AMTSO Publishes Guidelines for Testing of IoT Security Products

AMTSO | September 06, 2022

AMTSO, the cybersecurity industry's testing standard community, today announced it has published its first Guidelines for Testing of IoT Security Products. Comprised of input from testers and vendors, the guidelines cover principles for the testing of IoT security products providing recommendations on test environment, sample selection, testing of specific security functionality, and performance benchmarking for testers. The guidelines include the following sections: General principles: All tests and benchmarks should focus on validating the end result and performance of protection delivered, instead of how the product functions on the backend. Sample selection: The guidelines provide guidance for challenges with choosing the right samples for IoT security solution benchmarking. For a relevant test, testers need to select samples that are still active, and that actually target the operating systems smart devices are running on. Determination of "detection": IoT security solutions work very differently than traditional cybersecurity products when it comes to detections and actions taken; for example, some solutions will simply detect and prevent a threat without notifying the user. The guidelines suggest to use threats with admin consoles that can be controlled by the tester or to use devices where the attack will be visible if conducted. Test environment: In an ideal case, all tests and benchmarks would be executed in a controllable environment using real devices. However, the setup can be complex, and if the tester decides against using real devices in the testing environment, it is advised that they should validate their approach by running their desired scenario with the security functionality of the security device disabled and checking the attack execution and success. Testing of specific security functionality: The guidelines embrace advice on different attack stages, including reconnaissance, initial access, and execution. They outline the possibility to test each stage individually vs. going through the whole attack at the same time. Choices on this should be documented in the testing methodology. Performance benchmarking: The guidelines also provide considerations on performance benchmarking, e.g. suggesting to differentiate between various use cases such as consumers vs. businesses, or the criticality of latency or reduced throughput per protocol, which depends on its purpose. The guidelines were approved by the AMTSO membership in June 2022. About AMTSO: AMTSO is the cybersecurity industry's testing standard community, consisting of over 60 security and testing member companies from around the world. The organization offers a platform for knowledge-sharing and collaboration on objective standards and best practices for anti-malware testing and assessment of other cybersecurity products. The AMTSO standard raises the bar for cybersecurity tests, contributing to more fairness in the industry, and creating transparency for consumers and businesses looking for the best digital protection.

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SOFTWARE AND TOOLS

Radair.io Launches First Consumer Device - The Radair Mini Gateway

AIoT Services Inc | August 16, 2022

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Spotlight

The brief report provides a positioning of developments in the area referred to as Industrial Internet of Things (IIoT) – loosely interpreting this as the industrial developments associated with the Internet of Things (IoT). IoT in turn describes the extension of the application of internet communications beyond computers and networked devices to also include the networking of everyday objects. In the context of industrial operations these objects are typically equipment, products and raw materials.

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