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cognizant

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Published By: Zendesk Ltd     Published Date: Sep 11, 2018
Customers have caught on that support interactions are getting better. When they reach out, they’ve come to expect an instant response that says “we’re here for you”. When they want information, it’s expected to be accurate, up-to-date, and easily accessible. Essentially, they come to expect efficiency during support interactions. As a result, businesses are becoming more cognizant of their self- service offerings. Customers want to be left feeling empowered; it’s even better when they can do so on their own. Self-service saves time for agents, cuts down on organizational costs, and leaves the customer with a positive outlook of a brand. This eBook delves into how AI can enhance your customer self-service offerings with automatically-generated knowledge bases, content cues for your service agents, and chatbots.
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customer service, customer experience, artificial intelligence, chatbots, self-service
    
Zendesk Ltd
Published By: Cognizant     Published Date: Oct 23, 2018
As financial services firms embrace digital, they need business assurance strategies that extend conventional quality assurance methods to address the nuances of emerging technologies such as blockchain and advanced artificial intelligence (AI). At the same time, they also need assurance that their strategies can accommodate changes in the ever-shifting regulatory landscape wrought by the acceleration of digital within the core of their businesses. This white paper explores how financial firms can excel in digital by holistically addressing the quality of business processes built on disruptive technologies while assuring compliance to regulations.
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cognizant, finance, digital
    
Cognizant
Published By: Cognizant     Published Date: Oct 23, 2018
In the last few years, a wave of digital technologies changed the banking landscape - social/ mobile altered the way banks engage with customers, analytics enabled hyper personalized offerings by making sense of large datasets, Cloud technologies shifted the computing paradigm from CapEx to OpEx, enabling delivery of business processes as services from third-party platforms. Now, a second wave of disruption is set to drive even more profound changes - including robotic process automation (RPA), AI, IOT instrumentation, blockchain distributed ledger and shared infrastructure, and open banking platforms controlled by application programming interfaces (API). As these technologies become commercialized, and demand increases for digitally-enabled services, we will see unprecedented disruption, as non-traditional banks and fintechs rush into all segments of the banking space. This whitepaper examines key considerations for banks as they explore value in the emerging Digital 2.0 world.
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cognizant, banking, digital
    
Cognizant
Published By: Cognizant     Published Date: Oct 23, 2018
Value-based care is the predominant model for enabling the healthcare industry to control costs and deliver better information to consumers. The basic idea is that reimbursements are based on the quality of the outcome of a procedure, episode of care, use of a device or therapy. Under this model, life sciences companies are rewarded for improving health outcomes and/or reducing the costs to achieve those outcomes. It requires life sciences companies to rethink many of their processes, from R&D through the commercial phase. Navigating those momentous shifts requires that life sciences companies embrace a range of digital technologies which will enable a holistic approach to value-based care. This white paper will examine the drive for value-based care, its impact on life sciences companies and how technology platforms can address the challenges the industry is facing.
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cognizant, life sciences, digital
    
Cognizant
Published 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
Published By: Cognizant     Published Date: Oct 23, 2018
Incorporating artificial intelligence into your business systems and processes is a journey unlike any other digital technology implementation. There is no utility AI. Every company must chart its own path to success. This white paper offers insights and recommendations to help organizations identify use cases, pilot and learn from them, and then repeat the process so AI becomes a key element in the organization’s continuous improvement.
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cognizant, artificial intelligence
    
Cognizant
Published By: Cognizant     Published Date: Oct 23, 2018
The implications of AI’s unique approach are profound: AI can learn by example rather than through brute-force programming; can understand human intention and emotions and act accordingly; and can handle extraordinarily complex relationships of data that are beyond the capability of human analysts working alone. AI can multiply what we currently do and take us to experiences we’ve never had before, at a speed and scale that will change entire industries. In these case studies, we’re pleased to present a range of real-world examples to guide your imagination. Here, you’ll find situations where companies like yours found AI to be part of the solution. These examples show how AI can enhance an existing application, workflow or process and reduce friction. This e-book presents how 10 organizations are using artificial intelligence to accelerate decision making, improve business processes, enhance user engagement, reduce costs and drive remarkable growth and profitability.
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cognizant, artificial intelligence
    
Cognizant
Published By: Cognizant     Published Date: Oct 23, 2018
There’s plenty of room in the digital economy for traditional retailers, as long as they shift focus from the products they offer to the experiences they provide, blending the physical and digital worlds to offer distinct and personalized shopping experiences and unleashing the untapped power of emerging new ecosystems. At the heart of retail’s ongoing transformation is a shift in focus from the point of sale to the point of experience. Retailers that will thrive and prosper in the digital economy will be those that think beyond the products they sell to providing hyper-personalized shopping experiences that surprise and delight the consumer at each interaction, regardless of channel or touchpoint. This white paper illuminates these strategic imperatives and delivers actionable recommendations to established retailers seeking to convert challenge into opportunity amid growing concern that they should merely concede victory to digitally-native companies.
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cognizant, digital economy, retail
    
Cognizant
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jan 12, 2017
Recently, cloud-native has been touted as the panacea to all the development concerns. In this webcast, James Governor, a Redmonk analyst and founder, will share what cloud-native really is and how it helps your business. He will highlight organizations that lead the new era of development innovation with agile and continuous methodologies and follow cloud-native development practices. Aaron De Los Reyes, Sr. Director of Oracle Technology at Cognizant, will then share how they and their clients are approaching the shift to cloud-native development and migration strategies for their legacy deployments.
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Oracle PaaS/IaaS/Hardware
Published By: VMTurbo     Published Date: Mar 25, 2015
Virtualization 1.0 vs. Virtualization 2.0: Where Are You? Virtualization 1.0 is marked by the ability to virtualize, monitor, and react to problems across the environment as they occur. Ever cognizant of the performance limitations that typify higher workload densities, Virtualization 1.0 hesitates to virtualize the critical applications that would be most beneficial. Virtualization 1.0 is limited by the inherent complexities of virtualization. Virtualization 2.0 is marked by complete, proactive control over the virtual environment. Virtualization 2.0 virtualizes up to 100% of its applications, guided by an intelligent abstraction that continually drives the environment to its desired state. Virtualization 2.0 is the promise of virtualization brought to fruition.
Tags : 
vmturbo, virtualization, it economic model, virtual environment, it management solutions, it management, knowledge management, enterprise applications, data center
    
VMTurbo
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