artificial intelligence

Results 1 - 25 of 390Sort Results By: Published Date | Title | Company Name
Published By: Hewlett Packard Enterprise     Published Date: Jan 14, 2020
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
Tags : 
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jan 14, 2020
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.
Tags : 
    
Hewlett Packard Enterprise
Published By: Salesforce     Published Date: Jan 14, 2020
For the third edition of our “State of Service” report, Salesforce Research surveyed over 3,500 customer service agents and decision makers worldwide to determine: • Service organizations’ biggest challenges and priorities • The changing role of customer service agents • The impact of artificial intelligence (AI) on the future of customer service • How mobile workers fit into modern customer service
Tags : 
    
Salesforce
Published By: Kinaxis     Published Date: Dec 04, 2019
What is the future of transportation? What will new transportation technologies mean for the future of business? An excellent question that demands an excellent answer. To get that answer, the Michigan Economic Development Corporation (MEDC) surveyed 513 executives whose core roles focus on the development and use of new transportation and mobility capabilities. The results of this survey, supplemented by interviews with industry and academic experts, are at the heart of MEDC’s eBook, Paving The Way: How Leading Businesses Are Shaping the Future of Transportation and Mobility. The report offers a snapshot of the current transportation landscape while highlighting the steps businesses must take as they prepare for this fast-arriving future. This future will be built on a foundation of new technologies including artificial intelligence (AI), 5G-enabled vehicle-to-vehicle and vehicle-to-infrastructure communications, lightweight materials, and electric vehicles. These advances are p
Tags : 
    
Kinaxis
Published By: Genesys     Published Date: Jan 13, 2020
Applications and devices that are enabled for artificial intelligence (AI) increasingly think and act more like humans. This gives AI huge potential to make customer service more effective by streamlining case management and other predictable tasks. But all the noise about AI can be overwhelming. This CustomerThink paper outlines key findings, predictions and guidance from analysts and industry leaders about the use of AI in the customer service market, including: Why loyalty-based customer experiences are as important as increased efficiency How to ensure that efficiency gains don’t undermine customer experience objectives How blended AI eases the shift of work from AI to humans and back, as customers require Five tactical steps to properly implement your AI customer experience strategy Get the in-depth analyst view from the latest paper by CustomerThink, Artificial intelligence: Friend or foe of customer service?
Tags : 
    
Genesys
Published By: Genesys     Published Date: Jan 13, 2020
Applications and devices that are enabled for artificial intelligence (AI) increasingly think and act more like humans. This gives AI huge potential to make customer service more effective by streamlining case management and other predictable tasks. But all the noise about AI can be overwhelming. This CustomerThink paper outlines key findings, predictions and guidance from analysts and industry leaders about the use of AI in the customer service market, including: Why loyalty-based customer experiences are as important as increased efficiency How to ensure that efficiency gains don’t undermine customer experience objectives How blended AI eases the shift of work from AI to humans and back, as customers require Five tactical steps to properly implement your AI customer experience strategy Get the in-depth analyst view from the latest paper by CustomerThink, Artificial intelligence: Friend or foe of customer service?
Tags : 
    
Genesys
Published By: Genesys     Published Date: Jan 13, 2020
Implementing artificial intelligence (AI) is one of the most important things you can do to gain a competitive edge today—and over the long-term. Make a bigger impact with Genesys blended AI. The ability to automate your information, processes, insights and trends—and add the power of your human team—is built into every area of our portfolio. Read this eBook to discover our unique AI capabilities and see how customers are: Reducing cart abandonment by 30% Enriching customer experience Achieving critical KPIs
Tags : 
    
Genesys
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.
Tags : 
    
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.
Tags : 
    
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
Tags : 
    
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."
Tags : 
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 29, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
Tags : 
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 29, 2019
Are you looking for information to help you with your artificial intelligence deep learning journey?  This Deep Learning Dummies guide will help you understand what AI, deep learning and machine learning can mean for you and your organization.
Tags : 
    
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
Tags : 
    
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?
Tags : 
    
Vonage Business
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. "
Tags : 
    
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.
Tags : 
    
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.
Tags : 
    
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.
Tags : 
    
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.
Tags : 
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 25, 2019
Are you looking for information to help you with your artificial intelligence deep learning journey?  This Deep Learning Dummies guide will help you understand what AI, deep learning and machine learning can mean for you and your organization.
Tags : 
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 25, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
Tags : 
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Nov 01, 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.
Tags : 
    
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
Tags : 
location data, ad tech, location targeting
    
HERE Technologies
Published By: HERE Technologies     Published Date: Oct 23, 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 placingAI and machine learning at the center of our products and services. Wesee 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 ta
Tags : 
    
HERE Technologies
Start   Previous   1 2 3 4 5 6 7 8 9 10 11 12 13 14 15    Next    End
Search      

Add Research

Get your company's research in the hands of targeted business professionals.