How Telco Providers Can Leverage Streaming Analytics to Monetize M2M and IoT and Improve the Customer Experience

vitria

The proliferation of Machine to Machine (M2M) and Internet of Things (IoT) initiatives has created a new set of challenges and opportunities for CSPs. In addition to managing large-scale mobile networks, CSPs must now monitor, manage and address issues affecting a larger and more diverse population of connected devices. To address the emerging magnitude of operational complexity and to continuously deliver the best possible service, streaming analytics capabilities are more important than ever for CSPs. When CSPs are leveraging streaming big data analytics, they can immediately and automatically collect, correlate, analyze and act on streaming data in diverse formats across disparate systems within seconds of occurrence. This means that CSPs are able to not only detect and address issues as events are unfolding but also prevent them from cycling through and negatively impacting the customer experience – and, on the flip side, seize opportunities for real-time 1:1 marketing precisely when customers are likely most receptive.
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Spotlight

Takenaka Corporation, one of Japan’s largest architecture, engineering, and construction firms, created a “smart” energy management solution based on Microsoft’s technologies for the Internet of Things (IoT). Using sensors and devices, the system monitors building temperature and humidity for optimum energy consumption; predictive data from elevators is analyzed using Azure Machine Learning to vastly reduce elevator downtime


OTHER ON-DEMAND WEBINARS

IOT Testing Challenges Webinar with Jon Hagar

XBOSoft

Our special guest and mobile IOT testing expert Jon Hagar shares his thoughts on mobile testing, embedded testing, and IOT testing and how they intersect to form the perfect storm in the coming 4th Industrial Revolution where all businesses become software businesses and security/privacy reach new heights of concern.
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Webinar – The Path to a Smarter City

Silver Spring Networks

Smart city technologies attract citizens, businesses and economic opportunities that improve quality of life, while also making city operations more efficient. These new applications rely on a modern networking infrastructure platform that enables continuous connections with new classes of intelligent devices for improved decision making.
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Internet of Things: Understanding the evolving value chain

Ovum

The IoT is a transformative convergence of technologies that touch every aspect of digital content, services, and products – from regulation to service provision, components to networks, hardware to software, as well as from consumers to businesses. All participants believe that they have a pivotal role to play in the IoT, but few know precisely what that role will be. Neither do they have any realistic estimation of the size of the market opportunity?
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SAP HANA Cloud Platform + Zebra Zatar IoT Cloud Service

Zebra Zatar

Zebra Technologies manufactures and sells industrial mobile and wearable computers (Motorola Enterprise), bar code and RFID scanners, Wi-Fi and Bluetooth real-time locationing solutions, thermal barcode label and receipt printers, RFID smart label printers/encoders, and card and kiosk printers. Zatar is the Internet of Things application enablement platform from Zebra Technologies that allows your business to harness the power of IoT. With Zatar you can easily connect all types of devices, equipment and sensors to the Internet and take advantage of the data and information they generate to grow your business, increase efficiency and drive productivity.
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Spotlight

Takenaka Corporation, one of Japan’s largest architecture, engineering, and construction firms, created a “smart” energy management solution based on Microsoft’s technologies for the Internet of Things (IoT). Using sensors and devices, the system monitors building temperature and humidity for optimum energy consumption; predictive data from elevators is analyzed using Azure Machine Learning to vastly reduce elevator downtime

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