Transforming Endpoints with Artificial Intelligence

August 5, 2021

There has never been so much compute power available in IoT devices - now is the time to be designing and deploying true intelligence in IoT endpoints. Devices which are aware of their environment are capable of adding huge value to the data they collect and the services which they enable. This paper explores how new and emerging technology can enable your devices to see, hear and feel what is going on, interpret what they sense, take autonomous actions and generate real, trusted, valued data for the cloud. Recent developments in hardware and software will enable a step change in the capability of resource-constrained endpoint platforms, allowing developers to build vision, voice and vibration capability, coupled with genuine intelligence at the endpoint.

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OTHER WHITEPAPERS
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IoT Redefines Brand Experience and Customer Engagement

whitePaper | February 8, 2023

The Internet of Things (IoT), with its ability to connect devices and enable data exchange through embedded sensors, is garnering much interest across industries. TCS Global Trend 1 Study 2015 , highlights some of the major business model changes that are taking place across industries due to the adoption of the IoT. For the Consumer Packaged Goods (CPG) industry, the IoT offers widespread applicability across the value chain. CPG companies are likely to benefit the most by embedding sensors in products or services that touch end users directly, helping them drive consumer engagement throughout the consumption lifecycle. The IoT will also enable CPG companies to understand consumer needs better, thereby improving product designs or service models, leading to better brand loyalty and top-line growth.

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Connected Cars – Architecture,Challenges and Way Forward

whitePaper | January 2, 2020

The global automotive industry has been witnessing a transformation over the last decade with digital communication technologies making rapid inroads in vehicles. The world is moving towards the concept of connected transportation that focuses on providing enhanced connectivity like vehicles communicating with each other to know their presence, real-time communication facility to the occupants of the vehicle. This functionality is enabled by variety of technologies like vehicle to vehicle.

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IoT at the Edge: HOW AI WILL TRANSFORM IOT ARCHITECTURE

whitePaper | May 23, 2021

The vast amounts of data constantly collected by the billions of sensors and devices that make up the Internet of Things (IoT) can pose a serious processing challenge for businesses that rely on traditional intelligence and analytics tools. An emerging solution is to use Artificial Intelligence (AI) and machine learning to build intelligent systems that automatically gather, process, and extract actionable insights from IoT data - in real time without the need for human intervention. How are AI-enabled systems transforming IoT devices and applications at the edge, and what are some of the emerging use cases we can expect to see in the near future?

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Data Fabric Its time has come

whitePaper | October 3, 2022

This paper is intended to introduce the definition of a Data Fabric solution from a business perspective, the technical capabilities required to instantiate the solution, and a reference architecture representative of the solution.

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Tailoring IoT platforms to the requirements of specific use cases

whitePaper | April 13, 2021

The Internet of Things has evolved in the last 10-15 years from a long-term visionary idea to our current reality, present in more and more domains of our everyday lives. Many IoT architectures and platforms are being proposed today by various academic and industrial consortia, in domains as diverse as smart manufacturing, smart homes, smart cities or smart transport, to name just a few. These different IoT platforms have many things in common, as they all rely on connecting some smart sensor and actuator devices to each other and to the Internet, providing value-added services and applications to us, human users, either directly, or in an indirect manner. However, by closely analyzing their structure and operational focus, we can observe that these IoT architectures and platforms have also special features tailored to the requirements of different use cases.

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Global Industry Standards for Industrial IoT

whitePaper | June 2, 2021

The Industrial Internet of Things (IIoT) is a rapidly expanding world of connected objects. As IIoT systems proliferate, large amounts of data are consumed by machine learning algorithms and shared between partners, customers and others. IIoT is a technology environment in which integration and interoperability are critical capabilities and the complexity of this environment makes this difficult to achieve. Standards play a critical role in IIoT for five main reasons. First, users and vendors cannot engineer a custom interface every time components or systems need to interact. Standards can make this explosion of interfaces manageable; they are the lingua franca for interoperability. For suppliers, this eliminates needless costs related to common capabilities instead encouraging a focus on innovations that add value.

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