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Edge intelligence and Industry 4.0

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Though challenges and headwinds exist, we believe that the intelligent edge is poised to transform the computing landscape, propelling the world's largest technology companies toward the next generation of connectivity and operational efficiency. By bringing powerful computing capabilities closer to where data originates and needs to be consumed, the intelligent edge unlocks the potential for faster, less expensive, and more secure operations in everything from autonomous vehicles to virtual reality to the Internet of Things (IoT)--helping to accelerate the Fourth Industrial Revolution.5 The intelligent edge is the combination of advanced connectivity, compact processing power, and artificial intelligence (AI) located near devices that use and generate data.6 It represents an evolution and convergence of trends in industrial monitoring, automated manufacturing, utility management, and telecommunications, amplified by cloud computing, data analytics, and AI. The intelligent edge puts these latter capabilities physically near where data needs rapid analysis and response, enabling that data to be acted on directly or filtered to push only the most important bits to the core. In particular, the intelligent edge's ability to bring cloud capabilities to remote operations could greatly amplify their performance.


If IoT Data is the new Oil, what is Connectivity for Telcos? The ugly Duckling?

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Given my Telco background, it was logical that back in 2014, I published some of my first articles in my IoT Blog about the topic "IoT Connectivity" . I described how the optimist predictions of analysts and companies like Cisco or Ericsson, made the Machine to Machine (M2M) an attractive market to invest. The fact that "Tata Communications have acquired mobility and Internet of Things specialist Teleena is a clear indication of the phenomenal growth rate in the global IoT connectivity market. "By 2021, enterprises' spending on mobility alone is set to surpass USD 1.7 trillion," said Anthony Bartolo, Chief Product Officer, Tata Communications. I hope to see Tata Communications/Teleena in the next Gartner s Magic Quadrant for M2M Managed Services Worldwide. There are still people who doubt that connectivity is a key component in the M2M/IoT Value Chain. Please remember without connectivity simply there is not IoT. Obviously during these years many of my projects have been associated with IoT connectivity. From the analysis of M2M/IoT Service Providers to the conceptual design of end-to-end solutions where connectivity selection was a key component. Without forget projects to compare LPWAN technologies, End to End Security, Identification of Uses cases for 5G. Sometimes also I had to sell IoT connectivity. But in my opinion, enterprises still are confused and delaying their decisions to adopt IoT / IIOT because they need good advice about the right IoT connectivity not just the cheapest prices but easy integration or better customer support. I want to remember again that I can help you in the selection of the right M2M /IoT Service Provider for your enterprise business requirements as a strategic decision. Telecoms operators' more focused approach to bolstering their IoT businesses appears rooted in refining the technology inherent in their connectivity networks. And no wonder, The powerful GSMA has been helping Mobile Operators to define their role in IoT. At first sight, the best way for large telecoms operators generate value from the IoT might appear to be by providing connectivity via their networks. Additionally, they could leverage their vast experience in customer engagement, customer premise equipment (CPE) support and their robust, proven back-office systems by offering their OSS and BSS platforms externally to IoT users, using their OSS to provide users with a turnkey platform to manage their equipment proactively in real time, and their BSS to support the related billing requirements. In fact Global telcos set sights on IoT for growth in 2018. Nevertheless, Analysys Mason, highlighted "Telcos have been working with the broader ecosystem, including developers, cloud players and hardware vendors this past year – all of which "should set the market up for an active 2018".


Introducing aia from Amdocs: Bringing Real-Time Intelligence to the Heart of a Communications Business

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Barcelona - Feb 27, 2017 - Today at Mobile World Congress, Amdocs (NASDAQ: DOX), a leading provider of software and services to communications and media companies, introduces aia. The platform combines Amdocs' extensive domain expertise in managing business processes with state-of-the-art artificial intelligence (AI) and machine learning capabilities from global partners, including cognitive computing services from the IBM Watson platform. "Imagine a world where your business intuitively understands your customers' needs and automatically adapts to address them, where service providers embrace cognitive learning within their operational strategies, boosting customer experience, dynamically managing the product catalog and optimizing increasingly complex networks," said Gary Miles, chief marketing officer at Amdocs. "aia will make that world a reality." Amdocs is making high-quality data accessible in real time.


Cloud, IoT, and AI driving Post-Sales Services What Technologies Work for Field Service

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Manufacturers increasingly recognize that a focus on post-sales services can drive significant revenue. From tightening processes in entitlement management to building new long-tail service solutions, aftermarket service for manufacturers is growing in importance. Key to this transformation is technology to power service operations, processes, and people. With the advances in cloud-based service solutions, manufacturers finally have viable, robust options for their complex environments. Manufacturers face dual challenges in delivering support, as they must manage both inbound contact centers and mobile, onsite field teams.


New Study Identifies the Power of Merging AI and IoT

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Data Analytics firm Research and Markets has released a new study, entitled "Digital Transformation 2019: 5G, AI, Big Data Analytics, Blockchain, Cloud and Mobile Edge Computing, Connected and Wearable Devices, Cybersecurity, Digital Twins and Teleoperation, IoT, Robotics, Smart Cities, and Virtual Reality," which evaluates key technologies involved in digital transformation including AI, Big Data Analytics, Edge Computing, and IoT. The report says that these technologies will all be germane to the evolution of many areas important to enterprise and industrial organizations including internal and external processes, products and services, virtualization, and OSS/BSS. These issues are also the theme of the upcoming IoT Evolution Expo 2020: The Thinking IoT Arrives, which will take place in Ft. Click here to survey the AI and Intelligence-rich agenda and get registered now. The enterprise and industrial sectors are rapidly digitizing products and services, the report finds, including software-controlled and virtualized infrastructure and leveraging next-generation connectivity, signaling, and automated decision-making algorithms.