In our 27-criterion evaluation of global internetof-things (IoT) services for connected business operations providers, we identified the 14 most significant ones — Accenture, Atos, Capgemini, Cognizant, Deloitte, Dimension Data, EY, HCL Technologies, IBM, Infosys, KPMG, PwC, Tata Consultancy Services (TCS), and Wipro — and researched, analyzed, and scored them. This report shows how each provider measures up and helps infrastructure and operations (I&O) professionals make the right choice.
Small and midsize retailers around the world are seeing their businesses transform in a variety of ways. These firms, typically with fewer than 1,000 employees, have been transforming themselves as customers seek new types of engagement and as suppliers expect higher levels of efficiency and effectiveness. New business models and new competitors are changing the way retailers do business. Rather than simply react to new threats, successful retailers are leveraging technology in new ways to sharpen business practices, improve agility, and better serve customers while strengthening the role of retailers in the supply chain.
Through digital transformation including the effective engagement of the internet of things (IoT) to track inventory, the opportunity to maintain and gain competitive advantage can be significant.
There’s strong evidence organizations are challenged by the opportunities presented by external information sources such as social media, government trend data, and sensor data from the Internet of Things (IoT). No longer content to use internal databases alone, they see big data resources augmented with external information resources as what they need in order to bring about meaningful change. According to a September 2015 global survey of 251 respondents conducted by Harvard Business Review Analytic Services, 78 percent of organizations agree or strongly agree that within two years the use of externally generated big data will be “transformational.” But there’s work to be done, since only 21 percent of respondents strongly agree that external data has already had a transformational effect on their firms.
As digital business evolves, however, we’re finding that the best form of security and enablement will likely remove any real responsibility from users. They will not be required to carry tokens, recall passwords or execute on any security routines. Leveraging machine learning, artificial intelligence, device identity and other technologies will make security stronger, yet far more transparent. From a security standpoint, this will lead to better outcomes for enterprises in terms of breach prevention and data protection. Just as important, however, it will enable authorized users in new ways. They will be able to access the networks, data and collaboration tools they need without friction, saving time and frustration. More time drives increased employee productivity and frictionless access to critical data leads to business agility. Leveraging cloud, mobile and Internet of Things (IoT) infrastructures, enterprises will be able to transform key metrics such as productivity, profitabilit
Businesses who have lived through the evolution of the digital age are well aware that we’ve
experienced a generational shift in technology. The rise of software as a service (SaaS),
cloud, mobile, big data, the Internet of Things (IoT), social media, and other technologies
have disrupted industries and changed customers’ expectations. In our always-on, buy
anything anywhere world, customers want their shopping experiences to be personalized,
dynamic, and convenient.
As a result, many businesses are trying to reinvent themselves. Success in a fast-paced
economy depends on continually adapting and innovating. Companies have to move quickly
to keep up; there’s no time for disjointed technologies and old systems that don’t serve the
customer-obsessed mentality needed to thrive in the digital age.
The Internet of Things may be a hot topic in the industry but it’s not a new concept. In the early 2000’s, Kevin Ashton was laying the groundwork for what would become the Internet of Things (IoT) at MIT’s AutoID lab. Ashton was one of the pioneers who conceived this notion as he searched for ways that Proctor & Gamble could improve its business by linking RFID information to the Internet. The concept was simple but powerful. If all objects in daily life were equipped with identifiers and wireless connectivity, these objects could be communicate with each other and be managed by computers.
The Industrial Internet of Things (IIoT) is flooding today’s industrial sector with data. Information is streaming in from many sources — equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence.
This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights.
The Internet of Things can bring big benefits. But what exactly is IoT, and how are different industries taking advantage of it? This TDWI e-book explores in detail what IoT and the Industrial IoT (IIoT) do for retailers, the automotive industry, state and local governments working with utilities firms, and the manufacturing industry. Common themes include connectedness, data-driven insights, predictive capabilities and transformation.
For manufacturers, this IDC white paper examines the current and
future Internet of Things (IoT) imperative for the following discrete manufacturing industries: automotive, aerospace and defense, high tech, and industrial machinery. We highlight IoT-enabled scenarios — those possible both now and in an Industry 4.0 future with smart manufacturing. (IDC defines IoT as a network of uniquely identifiable endpoints or “things” that communicate without human interaction using IP connectivity.) These scenarios more tightly integrate “things” with other information, processes, and even value chains. Further, we demonstrate how companies in these industries leverage technology to create business value today and disruptive opportunities tomorrow.
The global electronics industry is the cornerstone of
the digital economy and the Internet of Things (IoT).
Electronic devices act as conduits for users’ digital
experiences, which are now seamlessly enabled and
updated in the cloud. The industry’s digital device
success has also introduced its latest challenge: going
beyond the device. Leveraging data to drive insights is
key to delivering greater value. Doing so requires
electronics firms to flawlessly integrate hardware,
software, services and data while learning from and
adapting to users. Through Digital ReinventionTM, they
can combine digital approaches and data by design to
drive new capabilities, changing business from the
Published By: Riverbed
Published Date: Jan 25, 2018
This Enterprise Management Associates® (EMA™) research summary, sponsored by Riverbed®, highlights some of the key findings of EMA’s landmark report, “Network Management Megatrends 2016: Managing Networks in the Era of the Internet of Things, Hybrid Cloud, and Advanced Network Analytics.” It examines several major areas of change and evolution affecting network management. These “megatrends” include hybrid cloud networking, the Internet of Things (IoT), advanced network analytics, network management outsourcing, and network management tool consolidation.
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