blockchain technology

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By: Cognizant     Published Date: Oct 03, 2017
Impact that situation awareness can have on extended supply chain operations w/focus on logistics companies
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data science, predictive analytics, applications services, systems integration, business process management, digital transformation, social mobile analytics cloud (smac), integrated cloud services
    
Cognizant
By: Cognizant     Published Date: Sep 19, 2017
Focus on creating consistent terminology in order to generate insights from the digital data encircling employees, partners, processes and customers.
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data science, predictive analytics, applications services, systems integration, business process management, digital transformation, social mobile analytics cloud (smac), integrated cloud services
    
Cognizant
By: Cognizant     Published Date: Sep 21, 2017
Additional insight on Forbes Research that ends with four “How To Get Started” steps.
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data science, predictive analytics, applications services, systems integration, business process management, digital transformation, social mobile analytics cloud (smac), integrated cloud services
    
Cognizant
By: Cognizant     Published Date: Sep 21, 2017
The impact that state-of-the-art simulation and modeling techniques can have on supply chain operations.
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data science, predictive analytics, applications services, systems integration, business process management, digital transformation, social mobile analytics cloud (smac), integrated cloud services
    
Cognizant
By: Juniper Networks     Published Date: Aug 10, 2017
Whilst the FSI sector races to implement cutting-edge technologies such as AI, blockchain and automation, there are no mutually agreed upon set of best practices to implement these technologies. As a result, organisations are using their own blend of strategic initiatives and company culture to drive innovation, with varying levels of success. To help, this article features advice from five of the leading experts in the FSI and technology sector today.
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technology efficiency, market dynamics, data privacy, data security, device management, platform management, enterprise management
    
Juniper Networks
By: Cognizant     Published Date: Oct 23, 2018
A group of emerging technologies is rapidly creating numerous opportunities for life sciences companies to improve productivity, enhance patient care and ensure regulatory compliance. These technologies include robotic process automation (RPA), artificial intelligence (AI), machine learning (ML), blockchain, the Internet of Things (IoT), 3-D printing and augmented reality/ virtual reality (AR/ VR). This whitepaper presents a preview of five pivotal technology trends remaking the life sciences industry: AI and automation, human augmentation, edge analytics/ processing, data ownership and protection, and the intermingling of products and services.
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cognizant, life sciences, patient care
    
Cognizant
By: Red Hat APAC     Published Date: Jul 16, 2019
https://asset.madisonlogic.com/production/asset-approval/35341_78975_preview.html?v=1563344610178 Red Hat CTO for global service providers, Ian Hood, and TelecomTV talk about multi edge compute capacity and the fundamental need to have a common platform to deliver future services. ‘If you are not feeling some pain, you are not driving fast enough’, says Red Hat CTO, Global Service Provider, Ian Hood. The race to 5G is definitely on, and the use cases are clear. You can talk about multi edge compute capacity and other technical issues, but the fundamental thing is to have a common platform to deliver future services. We need to get to the point where IoT Everywhere, virtualized video and all the applications that come from new 5G services are delivered seamlessly. Even blockchain has a clear future within the telco environment where the world of eSIMs, secure roaming charges and identity management can alls be based on blockchain technology.
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Red Hat APAC
By: Cisco     Published Date: Sep 27, 2018
Blockchain, called the “tech breakthrough megatrend” by PWC¹, is rapidly gaining broad acceptance. According to IDC, global spending on this innovative technology is expected to reach $2.1 billion in 2018.² Across the globe, industries are investigating ways to use blockchain to increase trust across their business value chains and address primary challenges around complexity, transparency, and security.
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Cisco
By: Oracle     Published Date: Mar 04, 2019
n this webinar, Andy Baxendale and Euan Semplediscuss the future role of blockchain and how it could be specifically applied to human capital management systems. They look at:• Why HR has one of the best use-cases for blockchain technology• What aspects of HR would benefit most from blockchain technology • The potential overlaps between artificial intelligence and blockchain technology
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Oracle
By: Oracle     Published Date: Dec 30, 2018
Marketers know innovation is business power and many report that cloud security delivers more than any other innovation technologies. But when it comes to inspiration, IoT comes top, with AI and blockchain not far behind. Read our paper to discover the data behind the innovation technology hype
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Oracle
By: Boardwalktech     Published Date: Jun 05, 2018
Blockchain is reimagining the way enterprises operate. It’s a powerful new enterprise technology that can be used across vertical and application domains to realize greater efficiency, support new business models and revenue sources, and enhance the security and elevate the trust of enterprise transactions.
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Boardwalktech
By: Group M_IBM Q2'19     Published Date: Apr 16, 2019
For electronics companies, Blockchain technology can reduce frictions to improve the cost, time and risk associated with complex processes.
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Group M_IBM Q2'19
By: TIBCO Software     Published Date: Aug 23, 2019
For years, manufacturers have been trying to streamline processes and associated supply chains by building marketplaces, standardized exchanges, and monolithic systems. In many cases, these solutions missed the mark, resulting in fragmented and brittle processes without easy data sharing. Blockchain, the underlying technology behind Bitcoin and other cryptocurrencies, can potentially solve these problems. Sharing information via a trusted distributed network with embedded business logic offers many benefits for manufacturing, especially when combined with the IoT and AI communities. Watch this webinar: Blockchain & Manufacturing: A Smarter Way to Drive Efficiency in the Semiconductor and Electronics Supply Chains, with speaker Nelson Petracek, chief technology officer, TIBCO Software.
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TIBCO Software
By: Oracle     Published Date: Mar 04, 2019
Marketers know innovation is business power and many report that cloud security delivers more than any other innovation technologies. But when it comes to inspiration, IoT comes top, with AI and blockchain not far behind. Read our paper to discover the data behind the innovation technology hype
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Oracle
By: Workday     Published Date: Jul 30, 2019
Blockchain is no longer just some mysterious technology built for Bitcoin. Organizations are using blockchain technology to solve today’s fast-moving business challenges and prepare for what the future brings. Read this report to learn how you can benefit from blockchain.
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Workday
By: Red Hat     Published Date: Jun 19, 2019
The days of monolithic application development are over. And while “digital transformation” may sound like a fancy buzzword that ranks alongside blockchain, agile, and cloud, it’s not all hype. With transformation comes unprecedented levels of speed, consistency, and efficiency that are fundamentally changing the way developers do their jobs. Yes, that includes you. Much of the burden and pressure to deliver on the promises made by the business falls on the shoulders of IT developers. In a world where users demand new applications, features, and updates across all their devices in real time, container technology is your secret weapon. Containers let you work smarter by creating consistent development environments to rapidly develop and deliver cloud-native applications that can run anywhere. With containers, you can also deliver microservices that eliminate lengthy regression testing cycles, deploy without disruption, and provide a mechanism for patching or rolling back code on a featu
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Red Hat
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