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Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
Organizations in the global industrial products industry face significant challenges: cost pressures, increased regulations, disruptive technologies and the increasingly costly delivery of raw resources. High volatility in commodity prices has put severe pressure on company margins and can quickly expose inefficient operations.
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Group M_IBM Q3'19
Published By: Citrix ShareFile     Published Date: Jul 02, 2019
Get the report to find out how smart organizations are using new strategies to simplify IT infrastructures and empower employees to do their best work: • Get advice from Google and Citrix on how to manage the cloud transition strategically • Avoid common cloud work side effects such as excessive application logins, siloed data searches, and channel switching • Capture a vision for how artificial intelligence (AI) and machine learning are making work even more intuitive and personalized
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Citrix ShareFile
Published By: Adobe     Published Date: Jun 26, 2019
Artificial intelligence (AI) and analytics make a good team. With AI-powered analytics, you and your team can concentrate on the initiatives that really matter instead of burying yourself in reports.
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Adobe
Published By: Genesys     Published Date: Dec 20, 2018
Artificial Intelligence (AI) is staggering in its speed of handling simple requests and automating conversations. But AI solutions are not enough for the best customer experiences. Human emotions sometimes demand the human touch that only live agents can provide. Kate, Customer Experience AI by Genesys, combined with the power of human touch can improve customer experience, empower employees and dramatically reduce costs. This seamless combination of AI technology and humans, or “Blended AI by Genesys,” addresses the entire customer journey for the best possible outcomes. Download the eBook and learn how Kate and Blended AI lets you: • Personalize self-service • Connect customer conversations • Create smart agent experiences Start small and deploy fast with MicroApps
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Genesys
Published By: Genesys     Published Date: Dec 20, 2018
Companies across the world are innovating with artificial intelligence (AI) to improve customer experience and forge deeper relationships with customers. Through surveys and interviews with 599 executives, from large and mid-sized companies across the globe, this MIT report reveals that most customer-centric firms have already deployed AI extensively in their customer-facing operations and customer experience management processes. Get the global report and regional spotlights on North America, Latin America, Europe and Asia to access complete results. Key insights include: • Nearly 90% of respondents report measurable improvements in the speed of complaint resolution; 80% note enhanced call volume processing using AI • 80% of respondents report measurable improvements in customer satisfaction, service delivery and contact center performance • In North America, 60% of the respondents believe they will deliver a 10% or more increase in customer lifetime value in the next year • Europe
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Genesys
Published By: Genesys     Published Date: Jun 19, 2019
Contact centers often pool agents into large groups of generalists to distribute work evenly. Skills-based routing takes this a step further with specialized groups. But neither approach scales properly to identify all opportunities and drive business outcomes on each interaction. Predictive routing uses artificial intelligence (AI) and machine learning to create balance—meeting targets and giving customers a personalized experience. Read Demystifying AI: Creating an AI partnership that maximizes business results to learn how predictive routing systematically: Evaluates historical and real-time data to make predictions; Makes the best customer-agent match to drive desired outcomes; Keeps agents engaged and reduces handle times.
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Genesys
Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
IDC strongly believes that the days of homogenous compute, in which a single architecture dominates all compute in the datacenter, are over. This truth has become increasingly evident as more and more businesses have started to launch artificial intelligence (AI) initiatives. Many of them are in an experimental stage with AI and a few have reached production readiness, but all of them are cycling unusually fast through infrastructure options to run their newly developed AI applications and services on.
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Group M_IBM Q2'19
Published By: Cisco     Published Date: Dec 20, 2018
Knowledge workers today have a rich portfolio of team collaboration tools to help them get their jobs done, starting with email and encompassing texting, file sharing, online chat and message boards, social media and video conferencing. Yet collaboration across these tools can be a frustrating experience, due to the complexity of the technology and lack of integration. The good news: the application of emerging technologies and artificial intelligence (AI) enables more people to connect when and how they need to. And that makes for more productive teams.
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Cisco
Published By: Cisco     Published Date: Mar 22, 2019
Artificial intelligence (AI) and machine learning (ML) are emerging technologies that will transform organizations faster than ever before. In the digital transformation era, success will be based on using analytics to discover the insights locked in the massive volume of data being generated today. Historically, these insights were discovered through manually intensive data analytics—but the amount of data continues to grow, as does the complexity of data. AI and ML are the latest tools for data scientists, enabling them to refine the data into value faster.
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Cisco
Published By: Entrust Datacard     Published Date: Mar 20, 2017
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
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Entrust Datacard
Published By: Hewlett Packard Enterprise     Published Date: Jun 17, 2019
"Cloud-based predictive analytics platforms are a relatively new phenomenon, and they go far beyond the remote monitoring systems of a prior generation. Three key features differentiate cloud-based predictive analytics — data sharing, scope of monitoring, and use of artificial intelligence/machine learning (AI/ML) to drive autonomous operations. To help familiarize the uninitiated with specifically what types of value these systems can drive, IDC discusses them at some length in this white paper."
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Hewlett Packard Enterprise
Published By: Automation Anywhere APAC     Published Date: Apr 25, 2019
Global corporate enterprise AI practitioners are clearly still dealing with infrastructure issues related to talent and technology. End-to-end processes remain stubbornly carbon-based. Rule-based automation is truly not yet globally scaled across the majority of organizations. Double the AI And yet, the AI & Intelligent Automation Network members went from 21%, having deployed Intelligent Enterprise solutions to over 44% in just one year’s time. Over 4/5 expect to deploy AI in under two years The stated goal for deployment is just under 83% by the end of 2020. Considering the fact that they’ve essentially got two years, and those ranks have doubled in one year – doubling again in two years is achievable. Incidentally, that same number was only 67% a year ago. 50% expect to be established, globally scaling or refining AI in under two years Global corporate enterprise is in fact slowly but surely transforming into the intelligent enterprise of tomorrow. Having said that, it will be
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Automation Anywhere APAC
Published By: Vonage Business     Published Date: May 01, 2019
Who among us has not recoiled before the horror of a terrible Interactive Voice Response (IVR) experience? IVR technology was created to save businesses money, but it has mutated into a timesucking, customer experience-crushing monster! If connecting with a customer in this day of customer experience is the goal, there’s a better way! Contain the IVR before it kills another customer relationship. Can we bring the technology to heel and bend it to our will? And can we stop its rampage before artificial intelligence makes it too powerful to be stopped?
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Vonage Business
Published By: Lenovo UK     Published Date: Mar 14, 2019
In today’s workplace, work happens where we are, not where we go. To support this you need the four pillars of dynamic IT Download this infographic to find out how Lenovo can help you deliver the dynamic IT your workforce requires.
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smarterworking, future-ready, dynamicit, remoteworking, workplaceit, smarterworkforce, dynamicworkplace, mobility, iot, artificialintelligence
    
Lenovo UK
Published By: Lenovo UK     Published Date: Mar 14, 2019
Lenovo commissioned Cebr to research the changing dynamics of workplaces around the UK. The report quantifies the potential gains from remote working and looks at issues such as: What attributes do people at the start of their careers look for in an employer? Will there be a continued shift towards remote working? And how much importance do people place on flexible working hours?
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modernworkplace, flexibleworking, smartoffice, remoteworking, work-lifebalance, futureofwork, artificialintelligence, virtualreality, workplacedynamics, workplaceresearch
    
Lenovo UK
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"Managing infrastructure has always brought with it frustration, headaches and wasted time. That’s because IT professionals have to spend their days, nights and weekends dealing with problems that are disruptive to their applications and organization and manually tune their infrastructure. And, the challenges increase as the number of applications and reliance on infrastructure continues to grow. Luckily, there is a better way. HPE InfoSight is artificial intelligence (AI) that predicts and prevents problems across the infrastructure stack and ensures optimal performance and efficient resource use. "
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
Discover how HPE is responding to the massive growth in enterprise data with intelligent storage. Data helps enterprises find new ways to reach and serve customers to grow profitability, but only when it is available at the right place and the right time. The growing complexity of managing and securing data prevents businesses from gaining its full value. Hewlett Packard Enterprise delivers the world’s most intelligent storage for the hybrid cloud world by providing storage that is driven by artificial intelligence, built for the cloud, and delivered as a service.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
Managing infrastructure has always brought frustration, headaches, and wasted time. That’s because IT professionals have to spend their days, nights, and weekends dealing with problems and manually tuning their infrastructure. Traditional monitoring and support are too far removed from infrastructure, resulting in an endless cycle of break-fix-tune-repeat. Infrastructure powered by artificial intelligence, however, can overcome the limitations of humans and traditional tools. This white paper explores how HPE InfoSight with its recommendation engine paves the path for an autonomous data center your Hybrid Cloud World.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
The bar for success is rising in higher education.  University leaders and IT administrators are aware of the compelling benefits of digital transformation overall—and artificial intelligence (AI) in particular. AI can amplify human capabilities by using machine learning, or deep learning, to convert the fast-growing and plentiful sources of data about all aspects of a university into actionable insights that drive better decisions. But when planning a transformational strategy, these leaders must prioritize operational continuity. It’s critical to protect the everyday activities of learning, research, and administration that rely on the IT infrastructure to consistently deliver data to its applications.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Apr 26, 2019
Discover how HPE is responding to the massive growth in enterprise data with intelligent storage. Data helps enterprises find new ways to reach and serve customers to grow profitability, but only when it is available at the right place and the right time. The growing complexity of managing and securing data prevents businesses from gaining its full value. Hewlett Packard Enterprise delivers the world’s most intelligent storage for the hybrid cloud world by providing storage that is driven by artificial intelligence, built for the cloud, and delivered as a service.
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Hewlett Packard Enterprise
Published By: HERE Technologies     Published Date: Apr 04, 2019
Artificial Intelligence (AI) has already begun to improve targeting, segmentation, media buying and planning in the advertising industry. AI algorithms can extract complex patterns from vast numbers of data points, and in so doing, are able to self-correct and learn patterns. The revenue potential that improved personalization, segmentation and targeting that AI provides to marketers is huge. At HERE Technologies, we are placing AI and machine learning at the center of our products and services. We see the opportunity in automated machine learning to enrich the targeting and effectiveness of mobile advertising campaigns in real time. But the outcome of implementing such technology depends on the quality of data being fed into it from the outset. AI wouldn’t be as helpful if it’s being used alongside questionable location data or audience data. HERE’s location data provides a strong thread that can be woven throughout every stage of the media buying process, offering more context and
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location data, ad tech, location targeting
    
HERE Technologies
Published By: Hitachi Vantara     Published Date: Mar 08, 2019
Consider the key trends driving the modernization of the data infrastructure: focus on governance, mobilization and analytics. And take a look at the technologies that make up modern data infrastructure, including artificial intelligence (AI), flash storage, converged and hyperconverged platforms, and software-defined infrastructures. Read this e-book to observe the key trends driving the modernization of data infrastructure and see how organizations are adapting and flourishing in a data-driven world.
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Hitachi Vantara
Published By: Hewlett Packard Enterprise     Published Date: May 04, 2018
Managing infrastructure has always brought with it frustration, headaches and wasted time. That’s because IT professionals have to spend their days, nights and weekends dealing with problems that are disruptive to their applications and organization and manually tune their infrastructure. And, the challenges increase as the number of applications and reliance on infrastructure continues to grow. Luckily, there is a better way. HPE InfoSight is artificial intelligence (AI) that predicts and prevents problems across the infrastructure stack and ensures optimal performance and efficient resource use.
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Hewlett Packard Enterprise
Published By: Cisco EMEA     Published Date: Mar 05, 2018
Advanced Technology is having a growing impact on our everyday lives. Adoption of advanced technologies and virtual assistants such as Amazon Echo and Google Home are becoming more mainstream in homes. Meanwhile organizations worldwide are increasingly looking at how to implement similar technologies to improve productivity, speed workflows, and increase collaboration among employees, business partners, and even customers. To date, little is known about perceptions of technologies such as artificial intelligence (AI) and virtual assistants in the workplace and how they will impact how we work in the future.
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technology, customers, enterprise, business
    
Cisco EMEA
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