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Results 26 - 50 of 923Sort Results By: Published Date | Title | Company Name
Published By: Workday     Published Date: Oct 22, 2019
In the latest issue of our CIO Perspectives magazine, discover how IT executives are leading the way in innovation with exciting new technologies such as blockchain and machine learning. Read now to learn more.
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Workday
Published By: Workday     Published Date: Oct 22, 2019
This whitepaper explores how machine learning can make your HR and finance ERP solutions smarter and more agile and efficient. Read now to discover how Workday leverages AI to deliver value you can trust.
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Workday
Published By: Five9     Published Date: Oct 29, 2019
Today’s organizations compete on customer experience and this trend will define the shape and scope of contact centers well into the next decade. To deliver the level of seamless experiences that customers expect, contact centers will need to harness all the advantages technology can offer – specifically, the cloud – to create an “intelligent cloud contact center” that utilizes machine learning and real-time data analysis. So, step one is to move your contact center to the cloud. ASAP. Once you are operating a cloud contact center, the next step is to start leveraging everything this enables you to do. This is where the “Intelligent Cloud Contact Center” comes into play.”
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Five9
Published By: Amazon Web Services EMEA     Published Date: Nov 05, 2019
Today, deep learning is at the forefront of most machine learning implementations across a broad set of business verticals. Driven by the highly flexible nature of neural networks, the boundary of what is possible has been pushed to a point where neural networks outperform humans in a variety of tasks, such as classifying objects in images or mastering video games in a matter of hours. This guide outlines the end-to-end deep learning process implemented on Amazon Web Services (AWS). We discuss challenges in executing deep learning projects, highlight the latest and greatest technology and infrastructure offered by AWS, and provide architectural guidance and best practices along the way. This paper is intended for deep learning research scientists, deep learning engineers, data scientists, data engineers, technical product managers, and engineering leaders.
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Amazon Web Services EMEA
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: PatSnap     Published Date: Sep 27, 2019
Out-of-box tools that use AI, machine-learning, and real-time intelligence are driving the commercialization of IP today. However, IP professionals are faced with a dizzying array of offerings on the market. What features are must haves for IP teams in 2019? What processes will streamline the commercialization process? This eBook works as a clear guide in identifying the tools IP teams need to commercialize with confidence, in 4 easy-to-action workflow tips: 1. Confirming patent novelty easily 2. Deciding on ideas that are worth pursuing 3. Collating key data via analysis and patent landscaping faster 4. Mitigating bottlenecks through interdepartmental collaboration
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research and development, intellectual property, innovation
    
PatSnap
Published By: Adobe     Published Date: Oct 08, 2019
You cannot accurately predict what your customer will want next. Artificial intelligence can. WHY SHOULD THE TARGET AUDIENCE CARE? By 2020, businesses that use AI and related technologies like machine learning and deep learning to uncover new insights will take $1.2 trillion each year from competitors that don't. (Source: Forrester.) SUPPORTING CONCEPTS: At any moment, anywhere in the world, on any kind of device, a prospect or customer is raising her hand and saying, "I'm your best opportunity. Don't ignore me." She's telling you that by every action she's taken and every interaction you've had up to that point. You can consider each bit of data you've collected across her journey a meaningful expression of intent. And with that, you will know how to give her an experience that's above her expectations and beyond her imagination. You need many different technologies in your marketing stack to manage personalization, but AI makes them all work together seamlessly. You can: –
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Adobe
Published By: DigitalOcean, LLC     Published Date: Nov 04, 2019
DigitalOcean commissioned Cloud Spectator to evaluate the performance of virtual machines (VMs) from three different Cloud Service Providers (CSPs): Amazon Web Services, Google Compute Engine and DigitalOcean. Cloud Spectator tested the various VMs to evaluate the CPU performance, Random Access Memory (RAM) and storage read and write performance of each provider’s VMs. The purpose of the study was to understand Cloud service performance among major Cloud providers with similarly-sized VMs using a standardized, repeatable testing methodology. Based on the analysis, DigitalOcean’s VM performance was superior in nearly all measured VM performance dimensions, and DigitalOcean provides some of the most compelling performance per dollar available in the industry.
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DigitalOcean, LLC
Published By: DigitalOcean, LLC     Published Date: Nov 04, 2019
Over the last several years, DigitalOcean has built out its feature set in a way that has taken it from a provider of cheap and simple virtual machines (VMs) to a legitimate public cloud alternative, most recently adding support for Redis and MySQL to its managed database services. As its services evolve, it continues to experience healthy growth and maintain popularity among the independent developer audience. Over the past two years, DigitalOcean has accelerated the velocity of its feature development, looking to better meet the needs of a business audience. By emphasizing a simplified feature set, pricing structure and user experience, even as it expands its competitive footprint in the shadow of public cloud vendors such as Amazon Web Service (AWS), Microsoft Azure and Google Cloud Platform (GCP), Digital Ocean continues to help define what it means to be an alternative public cloud in a market dominated and largely defined by hyperscalers.
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DigitalOcean, LLC
Published By: Marketo     Published Date: Sep 03, 2019
Your website is the hub of interaction between your company and your customers, and in an increasingly competitive digital landscape, today's buyers aren't simply looking for a one-size-fits-all customer experience. Web personalization empowers you to provide more relevant experiences to online visitors and speak to them with personalized messages at scale. It enables you to communicate across all marketing channels with a consistent voice and user experience that builds trust, engagement, revenue, and loyalty. In this ebook, discover how to: Integrate web personalization into your marketing strategy Incorporate cross-channel marketing in your web personalization strategy Create content to maximize the impact of personalization Leverage AI and machine learning to provide personalized web content Measure impact and success Choose the right web personalization tool for you Build a website that accelerates engagement, conversion, and retention by downloading the Introductory Guide to
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Marketo
Published By: SAS     Published Date: Nov 08, 2019
As organizations continue to adopt predictive analytics, many are struggling to make it stick. Challenges include skills, executive and organizational support, and data infrastructure issues. Many organizations have not considered how to practically put analytics to work, given the organizational, technology, process, and deployment issues they face. Addressing these issues involves a combination of traditional and new technologies and practices. Some practical considerations highlighted in this report include: Model Development, Infrastructure and Operational Process.
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SAS
Published By: Esker     Published Date: Jan 08, 2019
There’s no denying it: The age of AI, or what’s often referred to as the “Fourth Industrial Revolution,” is already here and, in many ways, just getting warmed up. Businesses eager to create a competitive advantage are recognizing that the future is in the intersection of humans and machine intelligence. That’s why we created this guidebook. It’s sort of like AI for Dummies … but for intelligent business leaders like yourself. The ones who just want to better understand what AI is, its implications, and the benefits it brings to essential business processes. So kick back, relax and enjoy. In just 15ish minutes, you’ll know more about AI than your competitors and your business will be better for it.
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Esker
Published By: Astaro     Published Date: Jan 19, 2011
Botnets are based on similar principles as legitimate clouds, but serve malicious business interests. Find out more about how botnets work and the right steps after having detected infected machines within your own network.
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astaro, cloud computing, botnets, network, security, network management
    
Astaro
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: 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.
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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.
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Hewlett Packard Enterprise
Published By: SAP     Published Date: Sep 28, 2018
The Industrial Machinery industry is changing slower than it ever will and faster than it ever has. And customer demands are evolving at speeds never seen before. For companies serious about innovating at scale and transforming their business in order to dominate their market, it will take innovative thinking, disruptive technology and near flawless execution. This challenge, perhaps best described as the perfect blend of art and science, is more than achievable, but only if you have the right partner. Which is why we want you to meet Leonardo, by SAP. SAP Leonardo is a digital innovation system that enables organizations of all sizes to transform at scale with minimal risk and disruption. SAP Leonardo brings new technologies and services together to help businesses power their digital transformation. SAP Leonardo proves that truly transformative and sustainable innovation happens when technology, people, and data are combined.
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customer experience & engagement, digital transformation, sap
    
SAP
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: 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.
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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.
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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: HERE Technologies     Published Date: Oct 23, 2019
Have a conversation with anyone about how the changing nature of technology is affecting our world, and artificial intelligence (AI) will invariably come up. It has the potential to change all industries in ways we’ve never experienced. The promise of AI is that it will make our lives better, with more lower-level tasks being automated, freeing us up to focus on higher-level endeavors. Automation promises to complete tasks with more efficiency than humans do, and can continually improve through machine learning.
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HERE Technologies
Published By: Cisco EMEA     Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
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big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
    
Cisco EMEA
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