machine data

Results 1 - 25 of 279Sort Results By: Published Date | Title | Company Name
Published By: Infinidat EMEA     Published Date: May 14, 2019
Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and website interaction data are all being collected and analyzed. In addition, as IT budgets are already under pressure, Big Data footprints are getting larger and posing a huge storage challenge. This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.
Tags : 
    
Infinidat EMEA
Published By: Infinidat EMEA     Published Date: Oct 10, 2019
Le Big Data et les charges analytiques constituent une nouvelle frontière pour les entreprises. Les données collectées émanent de sources inexistantes il y a 10 ans. Les données des smartphones, celles générées par des machines et par les interactions avec les sites web sont collectées et analysées. De plus, dans un contexte où les budgets IT sont déjà sous pression, les empreintes Big Data s’étendent et posent d’énormes problèmes de stockage. Ce livre blanc délivre des informations sur les problématiques liées aux applications Big Data pour les systèmes de stockage et explique en quoi le choix de la bonne infrastructure de stockage peut rationaliser et consolider les applications d’analyse du Big Data sans faire sauter la banque.
Tags : 
    
Infinidat EMEA
Published By: Alert Logic     Published Date: Oct 25, 2019
Container adoption continues to grow as organizations look to transition from virtual machines to microservices-based architectures, known for their increased efficiency, portability, and scalability. But while containers afford an additional layer of security through their ability to isolate applications, a containerized environment is still susceptible to malicious attacks between containers or the within the shared resources of the underlying host. Download this eBook to learn how you can develop a stronger security strategy for your AWS container deployments, from start to finish. Key takeaways include: • Planning for maximum portability • Setting permissions for users and system resources • Creating an action plan based on log monitoring and IDS data
Tags : 
    
Alert Logic
Published By: SDL     Published Date: Sep 20, 2019
Component Content Management: A New Paradigm in Intelligent Content Services While technology has changed the world, the way that companies manage information has inherently stayed the same. The advent of near-ubiquitous connectivity among applications and machines has resulted in a data deluge that will fundamentally alter the landscape of content management. From mobile devices to intelligent machines, the volume and sophistication of data have surpassed the ability of humans to manage it with outdated methods of collection, processing, storage, and analysis. The opportunity afforded by the advent of artificial intelligence (AI) has stimulated the market to search for a better way to capture, classify, and analyze this data in its journey to digital transformation (DX). The paradigm of document-based information management has proven to be a challenge in finding, reusing, protecting, and extracting value from data in real time. Legacy systems may struggle with fragmented information
Tags : 
    
SDL
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.”
Tags : 
    
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.
Tags : 
    
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.
Tags : 
    
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
Tags : 
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: –
Tags : 
    
Adobe
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.
Tags : 
    
DigitalOcean, LLC
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: 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: 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.
Tags : 
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.
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: 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: 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.
Tags : 
big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
    
Cisco EMEA
Published By: Commvault     Published Date: Jul 06, 2016
Today, nearly every datacenter has become heavily virtualized. In fact, according to Gartner as many as 75% of X86 server workloads are already virtualized in the enterprise datacenter. Yet even with the growth rate of virtual machines outpacing the rate of physical servers, industry wide, most virtual environments continue to be protected by backup systems designed for physical servers, not the virtual infrastructure they are used on. Even still, data protection products that are virtualization-focused may deliver additional support for virtual processes, but there are pitfalls in selecting the right approach. This paper will discuss five common costs that can remain hidden until after a virtualization backup system has been fully deployed.
Tags : 
storage, backup, recovery, best practices
    
Commvault
Published By: SAS     Published Date: Jan 17, 2018
Competitive advantage from analytics is changing, and for the better. For the first time in four years, MIT Sloan Management Review found an increasing ability to strategically innovate with analytics based on interviews with more than 2,600 practitioners and scholars globally. Learn more about key findings, including: Wider use of analytics, better knowledge of its benefits and greater focus on applications have reversed a trend on the benefits of analytics. Return on investment for analytics stems from the governing and sharing of data throughout the organization. Machine learning enables organizations to discover more insight from their data, allowing employees to focus on other critical responsibilities.
Tags : 
    
SAS
Published By: Pentaho     Published Date: Nov 04, 2015
Although the phrase “next-generation platforms and analytics” can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the technology vision and today’s reality of BI and dashboards. Next-generation platforms and analytics often mean simply pushing past reports and dashboards to more advanced forms of analytics, such as predictive analytics. Next-generation analytics might move your organization from visualization to big data visualization; from slicing and dicing data to predictive analytics; or to using more than just structured data for analysis.
Tags : 
pentaho, analytics, platforms, hadoop, big data, predictive analytics
    
Pentaho
Published By: Oracle     Published Date: Oct 20, 2017
What do these market-defining trends have in common? · Analytics for all · Analytics as competitive differentiator · Internet of Things · Artificial intelligence/Machine learning/Cognitive computing · Real-time analytics/event management They all rely on data – timely, accurate data delivered within an insightful context – to deliver value. The question is: who in the enterprise is most qualified and prepared to help deliver on the vision and values of the data-driven enterprise? It’s going to take a special type of professional to deliver that value to enterprises. Organizations are seeking professionals to step forward and take the lead, provide guidance and lend expertise to move into the brave new world of digital. The move to digital and all that it entails – sophisticated data analytics, online customer engagement and digital process efficiency – requires, above all, the skills and knowledge associated with handling data and turning it into insights. The move to digital i
Tags : 
    
Oracle
Published By: Carbonite     Published Date: Jul 18, 2018
Businesses virtualize to consolidate resources, reduce costs and increase workforce mobility. But failing to protect VMs with purpose-built protection could erase some of those gains. Here are five essential requirements IT managers should look for when deploying data protection for virtual environments.
Tags : 
    
Carbonite
Published By: Adobe     Published Date: Aug 30, 2017
Marketing leaders will find a host of new vendors in this year's Magic Quadrant for multichannel campaign management. Vendors are focused on integrating machine learning, personalization and ad tech capabilities into big data foundations for deeper customer engagement.
Tags : 
    
Adobe
Published By: Oracle CX     Published Date: Oct 19, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most companies
Tags : 
    
Oracle CX
Start   Previous   1 2 3 4 5 6 7 8 9 10 11 12    Next    End
Search Resource Library