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Cisco IoT Platform Gains Machine Learning

Sdxcentral | February 21, 2020

Cisco today introduced machine learning capabilities and tighter integration between service providers and vendors in its IoT management platform. Cisco IoT Control Center now includes machine learning models to identify anomalies and resolve problems before they impact IoT services. The feature also enables service providers to alert customers of errant or otherwise unused devices, and therefore implement greater control over connected devices. Cisco’s IoT platform is largely the result of its $1.4 billion acquisition of Jasper in 2016, but the effort has grown considerably during the last four years. Cisco has partnerships and IoT management reselling agreements with 52 network operators and claims to be the No. 1 IoT management platform provider for connected cars.

Spotlight

The Business Value of Dell Technologies APEX Multicloud and As-a-Service Solutions

IDC’s research demonstrates that enterprise organizations are prioritizing digital infrastructure (DX) resiliency as a foundational element of their IT strategy. Organizations are looking for richer levels of visibility, cross-platform control, advanced data management, and protection that spans the entire ecosystem, including public or private cloud, on premises, colocation facility, and edge. DX initiatives rely on data-driven insights to deliver competitive differentiation, increased customer engagement, streamlined business operations, increased staff productivity, and growth in revenue and profitability. IT infrastructure is one of the crucial pillars of DX. In fact, DX cannot succeed without IT transformation, aligned with business strategy to meet or exceed service-level objectives for data-driven insights. Because of this realization, organizations are now focused on managing outcomes instead of IT infrastructure and looking to vendors and partners to help reach this goal.

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Spotlight

The Business Value of Dell Technologies APEX Multicloud and As-a-Service Solutions

IDC’s research demonstrates that enterprise organizations are prioritizing digital infrastructure (DX) resiliency as a foundational element of their IT strategy. Organizations are looking for richer levels of visibility, cross-platform control, advanced data management, and protection that spans the entire ecosystem, including public or private cloud, on premises, colocation facility, and edge. DX initiatives rely on data-driven insights to deliver competitive differentiation, increased customer engagement, streamlined business operations, increased staff productivity, and growth in revenue and profitability. IT infrastructure is one of the crucial pillars of DX. In fact, DX cannot succeed without IT transformation, aligned with business strategy to meet or exceed service-level objectives for data-driven insights. Because of this realization, organizations are now focused on managing outcomes instead of IT infrastructure and looking to vendors and partners to help reach this goal.

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Enterprise Iot

BMW Partners AWS and Qualcomm to Drive Innovation in New-Gen Autos

BMW | September 07, 2023

BMW partners with AWS and Qualcomm to foster driving experiences Snapdragon Ride to be used to integrate AI-augmented video function The collaboration leverages AWS’s cloud-based compute and storage along with IoT sensing tools, generative AI and machine learning BMW has joined Amazon Web Services for a cloud partnership to propel IoT and AI capabilities into upcoming vehicle models set for a 2025 launch, augmented onboard ASAS software and sensors for driver warnings. Concurrently, BMW collaborated with Qualcomm Technologies to develop automated driving systems built on Qualcomm's Snapdragon Ride computer vision platform. BMW's collaboration with AWS and Qualcomm aims to streamline production and enhance vehicle functions. BMW stated that centralized cloud computing enables scalability to handle increasing data volumes generated by advanced automated functions like adaptive cruise control and automated lane changing. BMW's partnership with AWS and Qualcomm is geared towards optimizing production processes and elevating the capabilities of their vehicles. According to BMW, the utilization of centralized cloud computing allows for greater scalability, effectively managing the surging volumes of data generated by sophisticated automated features such as adaptive cruise control and automated lane changing. This enhances the efficiency of manufacturing operations and empowers vehicles to deliver more robust and responsive automated driving experiences.The integration of cloud computing addresses the challenges posed by increasing data demands, laying the foundation for future innovations in connected and autonomous vehicles. This collaboration leverages an existing ‘cloud data hub’ on AWS infrastructure, tapping into cloud-based computing, IoT sensing, storage, and AI tools, which include generative AI and machine learning. BMW reported that these technologies will enhance BMW's Neue Klasse line, enabling lifecycle management of the new driver assistance (ADAS) platform, automated braking, and steering functions. These Neue Klasse vehicles from 2025 will allow BMW engineers to respond swiftly to customer demands and introduce new features to enhance the automated driving experience. The Snapdragon Ride platform will integrate 360-degree AI-augmented video functionality for automated driving features. Nicolai Martin, Senior Vice President for driving experience at BMW, mentioned, In the next decade, consumer habits and expectations will drive more changes in the automotive industry than we’ve seen over the past 30 years. [Source: RCRWirelessNews] BMW's new driving platform will serve as a reference architecture for future BMW models, enabling the processing, cataloging, and storage of vast amounts of real-time driving data in AWS's Amazon S3 cloud storage engines. This data will support engineering teams in developing and training models using AWS's machine learning service, ‘SageMaker.’ General Manager of automotive and manufacturing, Wendy Bauer at AWS, stated, Automated driving is about more than just convenience; it’s also aimed at providing driver assistance technology that helps prevent injuries and saves lives. [Source: RCRWirelessNews] Wendy Bauer explained that implementing these systems on the BMW Group's international scale required an approach that could process and analyze vast amounts of data, as well as learn and innovate, so automakers could develop safer and more reliable automated ADAS systems. As the automotive industry undergoes a transformation towards a novel software-defined vehicle architecture that emphasizes high performance, energy efficiency, and scalability, Nakul Duggal, Senior Vice President for automotive and cloud computing at Qualcomm, said that its ongoing collaboration with BMW is dedicated to the development of advanced AI-driven driver assistance technologies, focusing on safety and security on a larger scale. He added that this partnership between AWS and BMW combines cutting-edge technology from their respective industries, aiming to provide a contemporary cloud-native software development ecosystem.

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Infrastructure

Infineon further extends its edge AI capabilities and choice-of-platforms for ML-based models for Bluetooth customers by partnering with Edge Impulse

Businesswire | July 07, 2023

Infineon Technologies AG today announced it is teaming with Edge Impulse to extend its Tiny Machine Learning-based AI development tools for the PSoC™ 63 Bluetooth® LE microcontroller (MCU). Developers of AI-enabled IoT applications can now also build edge Machine Learning (ML) applications using the Edge Impulse Studio environment for deployment on high-performance, low-power PSoC 63 Bluetooth LE MCUs. This collaboration allows customers added flexibility and choice-of-platforms to natively develop and configure ML applications for systems based on PSoC 63 Bluetooth LE MCU devices, which provide 150-MHz Arm® CPU performance with low-power connectivity and a rich suite of peripheral options. For example, the CY8CKIT-062-BLE Pioneer Kit coupled with the E-Ink Display Shield Board (CY8CKIT-028-EPD) incorporates an inertial measurement unit, microphone, and temperature sensor. This supports applications that collect real-world sensor data for processing by Tiny Machine Learning-based AI models in systems optimized for low-power, low-cloud-cost edge IoT environments. Infineon’s PSoC 63 Bluetooth LE MCU devices feature a dual-core Arm® Cortex®-M4F and Arm Cortex-M0+ chip architecture, Bluetooth LE 5.2, configurable voltage and frequency settings, built-in hardware-based security, state-of-the-art capacitive interfaces, and more, on a single chip. As the only 150 MHz Bluetooth LE MCU on the market, this variant of the Infineon PSoC device family is a powerful combination of power efficiency, size, and programmability, making it perfectly suited for edge IoT applications that benefit from the ability to run advanced ML algorithms. Edge Impulse’s products streamline the entire process of collecting and structuring data sets, designing algorithms with pre-built building blocks, validating the models with real-time data, and deploying the fully optimized production-ready results to edge targets such as the PSoC 63 Bluetooth LE MCU. “By collaborating with Edge Impulse on the PSoC 63 Bluetooth LE MCU, Infineon customers can bring their solutions faster to market for embedded AI/ML use cases. Infineon is committed to enable our customers to develop their own AI/ML models, or use a model out of a suite of predefined models available from Infineon or our valuable partners. Infineon is excited to add Edge Impulse to our growing partner network, and will continue to work with our extensive group of AI/ML partners that complements our offerings,” said Shantanu Bhalerao, Vice President of the Bluetooth Product Line at Infineon. “With its advanced processing capabilities and low power consumption, the PSoC 63 Bluetooth LE MCU is an ideal vehicle for the next generation of edge devices, from wearables to industrial monitoring,” said Zach Shelby, CEO and co-founder of Edge Impulse. “Matched with the Edge Impulse platform, embedded developers can more quickly develop and deploy powerful solutions for an exciting range of edge ML applications.” About Edge Impulse Edge Impulse enables all enterprises to build smarter edge products. Their technology empowers developers to bring AI solutions to market faster, and helps enterprise teams rapidly develop industry-specific solutions in weeks instead of years. Edge Impulse provides powerful automation and low-code capabilities to make it easier to build valuable datasets and develop advanced AI with streaming data. With over 75,000 developers, and partnerships with the top silicon vendors, Edge Impulse offers a seamless integration experience to validate and deploy with confidence across the largest hardware ecosystem. More information about Edge Impulse is available at www.edgeimpulse.com. About Infineon Bluetooth Products With more than one billion devices shipped, Infineon’s AIROC™ Bluetooth and Bluetooth Low Energy devices are the first choice for IoT solutions. The broad portfolio includes high-performing, reliable, ultra-low-power products that deliver robust industry-leading performance.

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Enterprise Iot, Devices

emnify Introduces Unprecedented SIM-based Functionality with User-Adaptive eSIM Launch

businesswire | July 26, 2023

emnify, a leading provider of global cellular connectivity solutions, has announced the launch of its unique IoT eSIM platform. The emnify IoT eSIM, anchored in the eUICC architecture, is a technological first, placing previously inaccessible functionalities in the hands of users, unlocking adaptability and scalability in IoT connectivity. As an industry pioneer, emnify proudly takes the lead in deploying eSIM as the default SIM platform. This innovative move introduces new functionalities to the emnify IoT SuperNetwork. Available across all form factors, the new emnify IoT eSIM supplies customers with a flexible and reliable cellular connectivity solution. This solution is continuously optimized without the hassle of physically swapping outdated SIM cards. It can also be personalized by customers to meet the needs of specific IoT use cases, such as optimized battery consumption for remote deployments and preferred access technologies for high bandwidth scenarios. IoT devices often face challenges such as a limited lifespan due to design and power constraints, and the need to adapt to new radio access technologies. The emnify IoT eSIM tackles these issues head-on, providing a technological foundation that’s truly future proof. It enables enterprises to update tailored SIM profiles and configurations according to their specific IoT applications and device power requirements. This positions it as an optimal solution for businesses seeking greater operational capabilities beyond the industry’s conventional offerings. "The new emnify IoT eSIM is a generational technology shift, not only in leveraging previously unavailable SIM capabilities, but also in how IoT connectivity is delivered," said Frank Stoecker, CEO and co-founder of emnify. "By overcoming the limitations of how eUICC technology is applied, we make sure that emnify’s customers benefit by individualizing SIMs to their needs, and benefit from the most advanced and reliable cellular connectivity solution available." As a central pillar of emnify’s global IoT SuperNetwork, the eSIM platform gives enterprises unrivaled control over their connectivity and seamless integration with their IoT application stack. The launch of the new emnify IoT eSIM platform represents a significant milestone in the IoT industry’s evolution. It stands out as the first IoT connectivity service allowing customers to tailor an essential element like the SIM in real-time and at scale. This aligns seamlessly with emnify’s mission to become a leader in the cloud-transformation of cellular IoT connectivity. About emnify emnify is the leading cloud building block for cellular communications in the IoT stack, connecting millions of IoT devices globally – from electric vehicles to energy meters, alarm systems to GPS trackers, thermometers to health wearables. The emnify API and new eSIM technology connect and secure any kind of IoT deployment to its application back-end. emnify’s cloud-native integrations and no-code workflows ensure seamless lifecycle scalability for deployments of all sizes – from local start-up to global enterprise. The award-winning emnify IoT SuperNetwork® is the largest globally distributed mobile cloud core network of its kind, supporting local network access (2G – 5G, LTE-M, NB-IoT) in over 180 countries from more than 25 cloud regions – and counting. emnify’s solution is built on partnerships with the leading hyperscaler cloud service providers, system integrators and hundreds of radio network operators worldwide. Founded in 2014, emnify was the first to transform cellular IoT connectivity into an easy-to-consume cloud resource – trusted today by thousands of the world’s most innovative companies.

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Enterprise Iot

BMW Partners AWS and Qualcomm to Drive Innovation in New-Gen Autos

BMW | September 07, 2023

BMW partners with AWS and Qualcomm to foster driving experiences Snapdragon Ride to be used to integrate AI-augmented video function The collaboration leverages AWS’s cloud-based compute and storage along with IoT sensing tools, generative AI and machine learning BMW has joined Amazon Web Services for a cloud partnership to propel IoT and AI capabilities into upcoming vehicle models set for a 2025 launch, augmented onboard ASAS software and sensors for driver warnings. Concurrently, BMW collaborated with Qualcomm Technologies to develop automated driving systems built on Qualcomm's Snapdragon Ride computer vision platform. BMW's collaboration with AWS and Qualcomm aims to streamline production and enhance vehicle functions. BMW stated that centralized cloud computing enables scalability to handle increasing data volumes generated by advanced automated functions like adaptive cruise control and automated lane changing. BMW's partnership with AWS and Qualcomm is geared towards optimizing production processes and elevating the capabilities of their vehicles. According to BMW, the utilization of centralized cloud computing allows for greater scalability, effectively managing the surging volumes of data generated by sophisticated automated features such as adaptive cruise control and automated lane changing. This enhances the efficiency of manufacturing operations and empowers vehicles to deliver more robust and responsive automated driving experiences.The integration of cloud computing addresses the challenges posed by increasing data demands, laying the foundation for future innovations in connected and autonomous vehicles. This collaboration leverages an existing ‘cloud data hub’ on AWS infrastructure, tapping into cloud-based computing, IoT sensing, storage, and AI tools, which include generative AI and machine learning. BMW reported that these technologies will enhance BMW's Neue Klasse line, enabling lifecycle management of the new driver assistance (ADAS) platform, automated braking, and steering functions. These Neue Klasse vehicles from 2025 will allow BMW engineers to respond swiftly to customer demands and introduce new features to enhance the automated driving experience. The Snapdragon Ride platform will integrate 360-degree AI-augmented video functionality for automated driving features. Nicolai Martin, Senior Vice President for driving experience at BMW, mentioned, In the next decade, consumer habits and expectations will drive more changes in the automotive industry than we’ve seen over the past 30 years. [Source: RCRWirelessNews] BMW's new driving platform will serve as a reference architecture for future BMW models, enabling the processing, cataloging, and storage of vast amounts of real-time driving data in AWS's Amazon S3 cloud storage engines. This data will support engineering teams in developing and training models using AWS's machine learning service, ‘SageMaker.’ General Manager of automotive and manufacturing, Wendy Bauer at AWS, stated, Automated driving is about more than just convenience; it’s also aimed at providing driver assistance technology that helps prevent injuries and saves lives. [Source: RCRWirelessNews] Wendy Bauer explained that implementing these systems on the BMW Group's international scale required an approach that could process and analyze vast amounts of data, as well as learn and innovate, so automakers could develop safer and more reliable automated ADAS systems. As the automotive industry undergoes a transformation towards a novel software-defined vehicle architecture that emphasizes high performance, energy efficiency, and scalability, Nakul Duggal, Senior Vice President for automotive and cloud computing at Qualcomm, said that its ongoing collaboration with BMW is dedicated to the development of advanced AI-driven driver assistance technologies, focusing on safety and security on a larger scale. He added that this partnership between AWS and BMW combines cutting-edge technology from their respective industries, aiming to provide a contemporary cloud-native software development ecosystem.

Read More

Infrastructure

Infineon further extends its edge AI capabilities and choice-of-platforms for ML-based models for Bluetooth customers by partnering with Edge Impulse

Businesswire | July 07, 2023

Infineon Technologies AG today announced it is teaming with Edge Impulse to extend its Tiny Machine Learning-based AI development tools for the PSoC™ 63 Bluetooth® LE microcontroller (MCU). Developers of AI-enabled IoT applications can now also build edge Machine Learning (ML) applications using the Edge Impulse Studio environment for deployment on high-performance, low-power PSoC 63 Bluetooth LE MCUs. This collaboration allows customers added flexibility and choice-of-platforms to natively develop and configure ML applications for systems based on PSoC 63 Bluetooth LE MCU devices, which provide 150-MHz Arm® CPU performance with low-power connectivity and a rich suite of peripheral options. For example, the CY8CKIT-062-BLE Pioneer Kit coupled with the E-Ink Display Shield Board (CY8CKIT-028-EPD) incorporates an inertial measurement unit, microphone, and temperature sensor. This supports applications that collect real-world sensor data for processing by Tiny Machine Learning-based AI models in systems optimized for low-power, low-cloud-cost edge IoT environments. Infineon’s PSoC 63 Bluetooth LE MCU devices feature a dual-core Arm® Cortex®-M4F and Arm Cortex-M0+ chip architecture, Bluetooth LE 5.2, configurable voltage and frequency settings, built-in hardware-based security, state-of-the-art capacitive interfaces, and more, on a single chip. As the only 150 MHz Bluetooth LE MCU on the market, this variant of the Infineon PSoC device family is a powerful combination of power efficiency, size, and programmability, making it perfectly suited for edge IoT applications that benefit from the ability to run advanced ML algorithms. Edge Impulse’s products streamline the entire process of collecting and structuring data sets, designing algorithms with pre-built building blocks, validating the models with real-time data, and deploying the fully optimized production-ready results to edge targets such as the PSoC 63 Bluetooth LE MCU. “By collaborating with Edge Impulse on the PSoC 63 Bluetooth LE MCU, Infineon customers can bring their solutions faster to market for embedded AI/ML use cases. Infineon is committed to enable our customers to develop their own AI/ML models, or use a model out of a suite of predefined models available from Infineon or our valuable partners. Infineon is excited to add Edge Impulse to our growing partner network, and will continue to work with our extensive group of AI/ML partners that complements our offerings,” said Shantanu Bhalerao, Vice President of the Bluetooth Product Line at Infineon. “With its advanced processing capabilities and low power consumption, the PSoC 63 Bluetooth LE MCU is an ideal vehicle for the next generation of edge devices, from wearables to industrial monitoring,” said Zach Shelby, CEO and co-founder of Edge Impulse. “Matched with the Edge Impulse platform, embedded developers can more quickly develop and deploy powerful solutions for an exciting range of edge ML applications.” About Edge Impulse Edge Impulse enables all enterprises to build smarter edge products. Their technology empowers developers to bring AI solutions to market faster, and helps enterprise teams rapidly develop industry-specific solutions in weeks instead of years. Edge Impulse provides powerful automation and low-code capabilities to make it easier to build valuable datasets and develop advanced AI with streaming data. With over 75,000 developers, and partnerships with the top silicon vendors, Edge Impulse offers a seamless integration experience to validate and deploy with confidence across the largest hardware ecosystem. More information about Edge Impulse is available at www.edgeimpulse.com. About Infineon Bluetooth Products With more than one billion devices shipped, Infineon’s AIROC™ Bluetooth and Bluetooth Low Energy devices are the first choice for IoT solutions. The broad portfolio includes high-performing, reliable, ultra-low-power products that deliver robust industry-leading performance.

Read More

Enterprise Iot, Devices

emnify Introduces Unprecedented SIM-based Functionality with User-Adaptive eSIM Launch

businesswire | July 26, 2023

emnify, a leading provider of global cellular connectivity solutions, has announced the launch of its unique IoT eSIM platform. The emnify IoT eSIM, anchored in the eUICC architecture, is a technological first, placing previously inaccessible functionalities in the hands of users, unlocking adaptability and scalability in IoT connectivity. As an industry pioneer, emnify proudly takes the lead in deploying eSIM as the default SIM platform. This innovative move introduces new functionalities to the emnify IoT SuperNetwork. Available across all form factors, the new emnify IoT eSIM supplies customers with a flexible and reliable cellular connectivity solution. This solution is continuously optimized without the hassle of physically swapping outdated SIM cards. It can also be personalized by customers to meet the needs of specific IoT use cases, such as optimized battery consumption for remote deployments and preferred access technologies for high bandwidth scenarios. IoT devices often face challenges such as a limited lifespan due to design and power constraints, and the need to adapt to new radio access technologies. The emnify IoT eSIM tackles these issues head-on, providing a technological foundation that’s truly future proof. It enables enterprises to update tailored SIM profiles and configurations according to their specific IoT applications and device power requirements. This positions it as an optimal solution for businesses seeking greater operational capabilities beyond the industry’s conventional offerings. "The new emnify IoT eSIM is a generational technology shift, not only in leveraging previously unavailable SIM capabilities, but also in how IoT connectivity is delivered," said Frank Stoecker, CEO and co-founder of emnify. "By overcoming the limitations of how eUICC technology is applied, we make sure that emnify’s customers benefit by individualizing SIMs to their needs, and benefit from the most advanced and reliable cellular connectivity solution available." As a central pillar of emnify’s global IoT SuperNetwork, the eSIM platform gives enterprises unrivaled control over their connectivity and seamless integration with their IoT application stack. The launch of the new emnify IoT eSIM platform represents a significant milestone in the IoT industry’s evolution. It stands out as the first IoT connectivity service allowing customers to tailor an essential element like the SIM in real-time and at scale. This aligns seamlessly with emnify’s mission to become a leader in the cloud-transformation of cellular IoT connectivity. About emnify emnify is the leading cloud building block for cellular communications in the IoT stack, connecting millions of IoT devices globally – from electric vehicles to energy meters, alarm systems to GPS trackers, thermometers to health wearables. The emnify API and new eSIM technology connect and secure any kind of IoT deployment to its application back-end. emnify’s cloud-native integrations and no-code workflows ensure seamless lifecycle scalability for deployments of all sizes – from local start-up to global enterprise. The award-winning emnify IoT SuperNetwork® is the largest globally distributed mobile cloud core network of its kind, supporting local network access (2G – 5G, LTE-M, NB-IoT) in over 180 countries from more than 25 cloud regions – and counting. emnify’s solution is built on partnerships with the leading hyperscaler cloud service providers, system integrators and hundreds of radio network operators worldwide. Founded in 2014, emnify was the first to transform cellular IoT connectivity into an easy-to-consume cloud resource – trusted today by thousands of the world’s most innovative companies.

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