Arrow Electronics and Taoglas Announce Collaboration to Boost IoT and AI Initiatives

Arrow Electronics | July 23, 2020

Taoglas, a leading enabler of digital transformation using IoT, today announced their collaboration with Arrow Electronics. This includes a new global distribution agreement focused on AI and IoT products and services. Taoglas will use Arrow’s sales and services organization to expand their customer base, grow ecosystem partnerships, and improve supply chain services. “Our customers need both products and services to support the success of IoT projects. Taoglas’ portfolio of high-performance RF antennas and IoT solutions is a fantastic addition to Arrow's broad product and services portfolio,” said Aiden Mitchell, vice president and general manager of global IoT solutions for Arrow Electronics. “Our customers will benefit from Taoglas’ reputation as a best-in-class, performance-driven technology provider.”

Spotlight

M2M, the acronym for Machine-to-Machine, is also referred to as “Internet of Things”. Forrester defines M2M as “technologies that collect and transfer information on the condition of physical assets or people”. According to Gartner, “Machine-to-machine (M2M) technologies are being deployed at a growth rate of approximately 10% quarter over quarter, and in an increasingly wide set of applications.” And there will be 50 billion connected devices by 2020 against 7.5 billion people; thereby more connected devices than people. More objects are becoming embedded with sensors and gaining the ability to communicate resulting in new business models, improved business processes, and reduced costs and risks.


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SOFTWARE AND TOOLS

LF Edge Releases Industry-Defining Edge Computing White Paper to Accelerate Edge/ IoT Deployments

LF Edge | June 28, 2022

LF Edge, an umbrella organization under the Linux Foundation that aims to establish an open, interoperable framework for edge computing independent of hardware, silicon, cloud, or operating system, today announced continued ecosystem collaboration via a new collaborative white paper, "Sharpening the Edge II: Diving Deeper into the LF Edge Taxonomy & Projects." A follow-up to the LF Edge community's original, collaborative 2020 paper – which provides an overview of the organization and details the LF Edge taxonomy, high level considerations for developing edge solutions and key use cases, – the new publication dives deeper into key areas of edge manageability, security, connectivity and analytics, and highlights how each project addresses these areas. The paper demonstrates maturation of the edge ecosystem and how the rapidly growing LF Edge community has made great progress over the past two years towards building an open, modular framework for edge computing. As with the first publication, the paper addresses a balance of interests spanning the cloud, telco, IT, OT, IoT, mobile, and consumer markets. "With the growing edge computing infrastructure market set to be worth up to $800B by 2028, our LF Edge project communities are evolving, This paper outlines industry direction through an LF Edge community lens. With such a diverse set of knowledgeable stakeholders, the report is an accurate reflection of a unified approach to defining open edge computing." Jason Shepherd, VP Ecosystem, ZEDEDA and former LF Edge Governing Board Chair "I'm eager to continue to champion and spearhead the great work of the LF Edge community as the new board chair," said Tina Tsou, new Governing Board chair, LF Edge. "The Taxonomy white paper that demonstrates the accelerated community momentum seen by open source edge communities is really exciting and speaks to the power of open source." The white paper, which is now available for download, was put together as the result of broad community collaboration, spanning insights and expertise from subject matter experts across LF Edge project communities: Akraino, EdgeX Foundry, EVE, Fledge, Open Horizon, State of the Edge, Alvarium, Baetyl, eKuiper, and FIDO Device Onboard. ONE Summit North America 2022 Join the broader open source ecosystem spanning Networking, Edge, Access, Cloud and Core at ONE Summit North America, November 15-16 in Seattle, Wash. ONE Summit is the one industry event focused on best practices, technical challenges, and business opportunities facing decision makers across integrated verticals such as 5G, Cloud, Telco, and Enterprise Networking, as well as Edge, Access, IoT, and Core. The Call for Proposals is now open through July 8, 2022. Sponsorship opportunities are also available. About The Linux Foundation Founded in 2000, the Linux Foundation is supported by more than 1,000 members and is the world's leading home for collaboration on open source software, open standards, open data, and open hardware. Linux Foundation's projects are critical to the world's infrastructure including Linux, Kubernetes, Node.js, and more. The Linux Foundation's methodology focuses on leveraging best practices and addressing the needs of contributors, users and solution providers to create sustainable models for open collaboration.

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INDUSTRIAL IOT

Qeexo, and Bosch Enable Developers to Quickly Build and Deploy Machine-Learning Algorithms to Bosch AI-Enabled Sensors

Qeexo | June 02, 2022

Qeexo, developer of the Qeexo AutoML, and Bosch Sensortec GmbH, a technology leader in MEMS sensing solutions, today announced that machine learning algorithms created using Qeexo’s AutoML can now be deployed on Arduino Nicla Sense ME with Bosch BHI260AP and BME688 sensors. Qeexo AutoML is an automated machine-learning (ML) platform that accelerates the development of tinyML models for the Edge. Bosch's BHI260AP self-learning AI sensor with integrated IMU, and BME688, a 4-in-1 gas sensor with AI, significantly reduce overall system power consumption while supporting a wide range of applications for different segments of the IoT market. Using Qeexo AutoML, machine learning (ML) models–that would otherwise run on the host processor–can be deployed in and executed by BHI260AP and BME688. Its highly efficient machine learning models–that overcome traditional die-size-imposed limits to computational power and memory size–extend to applications that transform and improve lives. For example, they can be used for: Monitoring environmental parameters, including humidity and Air Quality Index (AQI); and capturing information embedded in motion, such as person-down systems to fitness apps that check posture. These devices typically have a longer time between charges and provide actionable information. “Qeexo’s collaboration with Bosch enables application developers to quickly build and deploy machine learning algorithms on Bosch’s AI integrated sensors, Machine learning solutions running on Bosch’s AI integrated sensors are light-weight and do not consume MCU cycles or additional system resources as seen with traditional embedded ML.” Sang Won Lee, CEO of Qeexo “Bosch Sensortec and Qeexo are collaborating on machine learning solutions for smart sensors and sensor nodes. We are excited to see more applications made possible by combining the smart sensors BHI260AP and BME688 from Bosch Sensortec and AutoML from Qeexo.” said Dr. Stefan Finkbeiner, CEO at Bosch Sensortec. About Qeexo Qeexo is the first company to automate end-to-end machine learning for embedded edge devices (Cortex M0-M4 class). Our one-click, fully-automated Qeexo AutoML platform allows customers to leverage sensor data to rapidly build machine learning solutions for highly constrained environments with applications in industrial, IoT, wearables, automotive, mobile, and more. Over 300 million devices worldwide are equipped with AI built on Qeexo AutoML. Delivering high performance, solutions built with Qeexo AutoML are optimized to have ultra-low latency, ultra-low power consumption, and an incredibly small memory footprint. Qeexo Co. About Bosch Sensortec GmbH Bosch Sensortec GmbH is a fully owned subsidiary of Robert Bosch GmbH dedicated to the world of consumer electronics; offering a complete portfolio of micro-electro-mechanical systems (MEMS) based sensors and solutions that enable mobile devices to feel and sense the world around them. Bosch Sensortec develops and markets a broad portfolio of MEMS sensors, solutions and systems for applications in smart phones, tablets, wearable devices, and various products within the IoT (Internet of Things).

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SOFTWARE AND TOOLS

KeepTruckin Rebrands as Motive, Launches Automated Operations Platform

KeepTruckin | April 12, 2022

KeepTruckin has changed its name to Motive, underscoring its expanded focus and direction. Alongside its rebrand, Motive has launched the Automated Operations Platform, a combination of IoT hardware and AI-powered applications that connect and automate physical operations. The global middle class has tripled over the last 20 years to more than 1.7 billion people. As incomes rise, so does consumption — more energy, more food, more housing, more manufactured products. More of everything. But it’s not just consumption that’s on the rise. Expectations around quality, reliability, and speed of delivery are higher than ever. This exponential increase in demand combined with continuously rising expectations is placing unprecedented strain on the industries that power the physical economy — agriculture, manufacturing, construction, field services, trucking and logistics, and many more are struggling to keep up. “Almost 50% of global GDP comes from the physical economy,” said Shoaib Makani, CEO of Motive. “And yet, it has been largely ignored by the technology industry.” Founded in 2013, Motive builds technology to improve the safety, productivity, and profitability of physical operations. While its early customers were trucking companies, today Motive serves a broad range of industries across the physical economy. “Changing our name to Motive better reflects the diversity of customers we serve and problems we solve,” said Makani. To address the needs of its expanding customer base, Motive has launched the Automated Operations Platform. The platform combines IoT hardware with AI-powered applications that automate vehicle and equipment tracking, driver safety, compliance, maintenance, spend management, and more. “Our technology provides businesses with real-time visibility into their operations and enables AI-based automation of key workflows. By identifying the risks, problems, and opportunities companies have, and automatically taking actions on behalf of managers, Motive’s applications improve the safety, productivity, and profitability of physical operations.” Jai Ranganathan, Chief Product Officer at Motive. About Motive Motive builds technology to improve the safety, productivity, and profitability of businesses that power the physical economy. The Motive Automated Operations Platform combines IoT hardware with AI-powered applications to automate vehicle and equipment tracking, driver safety, compliance, maintenance, spend management, and more. Motive serves more than 120,000 businesses, across a wide range of industries including trucking and logistics, construction, oil and gas, food and beverage, field service, agriculture, passenger transit, and delivery.

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INDUSTRIAL IOT

MaxLinear Expands Portfolio of Industrial Ethernet Products with a Quad-Port 2.5GBase-T PHY and 1GBase-T Switches

MaxLinear | April 08, 2022

Today MaxLinear (NASDAQ: MXL) announced the immediate availability of two 1000BASE-T Ethernet Switches (GSW125, GSW145) and a quad-port 2.5GBASE-T PHY (GPY245), expanding its Ethernet product portfolio to better serve the industrial, telecommunications, and networking outdoor markets, where products must perform efficiently in harsh temperature environments. With the increase of outdoor Wi-Fi access points, Industrial IoT and Industrial PCs used to collect, monitor and control equipment, products must operate in either high heat or frigid cold environments. Extreme temperatures can impact network operation, data transmission, and system reliability, causing interruptions and downtime, leading to security risks and costly emergency repairs. "MaxLinear has a 40-year history of being a leading supplier in industrial interface devices, having shipped over 1B serial transceivers over the past five years," said James Lougheed, Vice President of Marketing, High Performance Analog. "As the requirements for industrial-grade Ethernet products continue to grow, we continue to invest to remain in a strong position to support these fast-growing markets." "Verifone, a global FinTech leader and payment solution provider to the world's largest retail brands, recently adopted the MaxLinear GSW145 Quad-port 1G Ethernet switch for its Engage family of payment terminals that provide secure, reliable and flexible payment experiences to merchants around the world," said Henry Wang, Global Commodity Director at Verifone. "This builds on the established relationship we have with MaxLinear as our supplier for our Interface product needs." "According to our 2022 market research, the Industrial Ethernet market is expected to outpace the overall market and reach $3.5B in 2025. Factory automation, the extension of Ethernet to support IoT, and additional industrial applications like smart cities and smart payment systems are all driving growth," said Alan Weckel, Founder and Technology Analyst at 650 Group. "The Industrial Ethernet market is transitioning from fast Ethernet to GigE and mGigEth is creating the need for a new family of Industrial grade IC's. The MaxLinear industrial Ethernet PHY and Switch products will help drive this market transition." Technical Details The GPY245 quad-port 2.5GBASE-T industrial PHY supports Low power consumption below 3.5W in 2.5GBASE-T mode An effective rBOM Industrial grade features like MACSec, PTP and SyncE Either 4 x 2.5G SGMII or a 10G USXGMII-M MAC interface Energy Efficient Ethernet (EEE) to reduce power consumption during low traffic periods The low pin count and small size package (236 pin BGA 12mmx12mm) make this product ideal for 4-layer PCBs. The GSW125, GSW145 industrial 1000BASE-T switches support Two or four twisted-pair interfaces (PHYs) Two MAC interfaces which can be 2.5G SGMII and RGMII QoS to prioritize switch traffic for different classes of applications, such as VoIP, video, audio, and data based on port ID Energy Efficient Ethernet (EEE) to reduce power consumption during low traffic periods They are available in a small size 105 pin 8mmx8mm MRQFN package. About MaxLinear, Inc. MaxLinear, Inc. (NYSE: MXL) is a leading provider of radio frequency (RF), analog, digital and mixed-signal integrated circuits for the connectivity and access, wired and wireless infrastructure, and industrial and multimarket applications. MaxLinear is headquartered in Carlsbad, California. For more information, please visit www.maxlinear.com. MxL and the MaxLinear logo are trademarks of MaxLinear, Inc. Other trademarks appearing herein are the property of their respective owners. About 650 Group, LLC 650 Group is a leading Market Intelligence Research firm for communications, data center, and cloud markets. Our team has decades of research experience, has worked in the technology industry, and is actively involved in standards bodies. 650 Group focuses on leading-edge market trends and research and prides itself on first to market research with over 24 research programs focused on Ethernet, cloud, and data center trends.

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Spotlight

M2M, the acronym for Machine-to-Machine, is also referred to as “Internet of Things”. Forrester defines M2M as “technologies that collect and transfer information on the condition of physical assets or people”. According to Gartner, “Machine-to-machine (M2M) technologies are being deployed at a growth rate of approximately 10% quarter over quarter, and in an increasingly wide set of applications.” And there will be 50 billion connected devices by 2020 against 7.5 billion people; thereby more connected devices than people. More objects are becoming embedded with sensors and gaining the ability to communicate resulting in new business models, improved business processes, and reduced costs and risks.

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