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Results 101 - 125 of 373Sort Results By: Published Date | Title | Company Name
Published By: Turbonomic     Published Date: Jul 05, 2018
The hybrid cloud has been heralded as a promising IT operational model enabling enterprises to maintain security and control over the infrastructure on which their applications run. At the same time, it promises to maximize ROI from their local data center and leverage public cloud infrastructure for an occasional demand spike. Public clouds are relatively new in the IT landscape and their adoption has accelerated over the last few years with multiple vendors now offering solutions as well as improved on-ramps for workloads to ease the adoption of a hybrid cloud model. With these advances and the ability to choose between a local data center and multiple public cloud offerings, one fundamental question must still be answered: What, when and where to run workloads to assure performance while maximizing efficiency? In this whitepaper, we explore some of the players in Infrastructure-as-a-Service (IaaS) and hybrid cloud, the challenges surrounding effective implementation, and how to iden
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Turbonomic
Published By: Turbonomic     Published Date: Jul 05, 2018
Organizations are adopting cloud computing to accelerate service delivery. Some try to deliver cloud economies of scale in their private data centers with the mantra “automate everything,” a philosophy often simpler in theory than practice. Others have opted to leverage public cloud resources for the added benefit of the pay-as-you-go model, but are finding it difficult to keep costs in check. Regardless of approach, cloud technology poses the same challenge IT has faced for decades: how to assure application performance while minimizing costs.
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Turbonomic
Published By: Turbonomic     Published Date: Jul 05, 2018
Turbonomic enables organizations to understand - and compare - the precise costs of migrating optimized workloads from on-premises data centers to the public cloud, including licensing models and discounting mechanisms such as RIs and Azure Hybrid Use Benefit (AHUB). This on demand webinar explains the Turbonomic process, including customer case studies.
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Turbonomic
Published By: Gigamon     Published Date: Dec 13, 2018
Perimeter-based solutions for network security do not work, leading to tool sprawl and performance issues. Read CSO Magazine’s interview with Gigamon CISO, Simon Gibson, to learn why a new, more intelligent approach is needed to build resilience into technology operations. “Security Should Be an Enabler” talks about an architectural approach that distributes only relevant data to appropriate tools, enabling an adaptable, simplified model at a reduced cost. Read now.
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Gigamon
Published By: HERE Technologies     Published Date: Oct 16, 2018
In this report, VSI applies HERE’s HD map data to a lane keeping application and examines performance of lane keeping with a map-based approach compared to a camera and computer vision-based approach. VSI tested the lane keeping system with and without map data on a local road in 3 scenarios: Lane lines expanding into a turn or exit lane An intersection without lane lines A widening in the lane The results show that in all scenarios, the computer-vision-only lane keeping systems got confused and made errors in a vehicle’s trajectory when lane markings were out of the ordinary or invisible. Faced with the same road conditions, the map-based lane keeping system stayed within the desired trajectory outperforming the compute- vision-only systems. This report proves that using a lane model from an HD map can solve common issues involved in computer-vision-only lane keeping.
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HERE Technologies
Published By: HERE Technologies     Published Date: Dec 05, 2018
Car data consumption is critically important to auto manufacturers. As more vehicles are produced with built-in infotainment systems, the cost of supplying them with live information and real-time updates via a data connection grows ever greater. Auto manufacturers need to be able to enhance the driving experience with smart traffic, navigation, and entertainment services, while reducing costs and data volumes. HERE is the world’s leading provider of traffic data to the automotive industry. This eBook shows how HERE optimizes traffic solutions and it outlines how data use modelling, standardization, and good data management can help reduce usage.
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traffic data, auto, location data
    
HERE Technologies
Published By: Larsen & Toubro Infotech(LTI)     Published Date: Jan 31, 2019
LTI helped a leading global bank digitize its traditional product ecosystem for AML transaction monitoring. With the creation of a data lake and efficient learning models, the bank successfully reduced false positives and improved customer risk assessment. Download Complete Case Study.
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Larsen & Toubro Infotech(LTI)
Published By: Pure Storage     Published Date: Oct 09, 2017
There’s no question about it: purpose-built all-flash storage is an exceptional catalyst for improving data center operations and supporting the transition to the cloud operating model. AFAs’ highly strategic role in both IT and business underscores the need to move storage purchase discussions and decisions beyond the storage team. IT leaders who want to see their organizations reap AFAs’ benefits—performance improvement, productivity gains, and cost savings, among others—should actively define their AFA strategies and oversee storage-related decision making, thus treating storage like the newly strategic asset it has become. To learn more, visit purestorage.com/cloud.
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it infrastructure, operations professionals, digital experience, time to resolution, cloud, pure storage
    
Pure Storage
Published By: HERE Technologies     Published Date: Feb 26, 2019
In this report, VSI applies HERE’s HD map data to a lane keeping application and examines performance of lane keeping with a map-based approach compared to a camera and computer vision-based approach. VSI tested the lane keeping system with and without map data on a local road in 3 scenarios: 1. Lane lines expanding into a turn or exit lane 2. An intersection without lane lines 3. A widening in the lane The results show that in all scenarios, the computer-vision-only lane keeping systems got confused and made errors in a vehicle’s trajectory when lane markings were out of the ordinary or invisible. Faced with the same road conditions, the map-based lane keeping system stayed within the desired trajectory outperforming the compute- vision-only systems. This report proves that using a lane model from an HD map can solve common issues involved in computer-vision-only lane keeping.
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location data, auto, mapping
    
HERE Technologies
Published By: IBM     Published Date: Apr 14, 2017
Today, all consumers can obtain any piece of data at any point in time. This experience represents a significant cultural shift: the beginning of the democratization of data. However, the data landscape is increasing in complexity, with diverse data types from myriad sources residing in a mix of environments: on-premises, in the cloud or both. How can you avoid data chaos?
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data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations
    
IBM
Published By: NetApp     Published Date: Feb 19, 2015
As business requirements drive the need for a hybrid cloud strategy, companies must determine how best to run their applications and manage their data—whether in their private data center, near the cloud, or in the cloud. Hyperscale cloud providers offer excellent flexibility by allowing customers to buy raw resources in a consumption model by the hour. NetApp® has released a new way of deploying the cluster Data ONTAP® operating system that runs on hyperscale resources, that when combined with NetApp Private Storage for Cloud, offers customers superior choice in how they manage their cloud storage.
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NetApp
Published By: GE Power     Published Date: Oct 05, 2016
Gathering machine sensor data for analysis across a power plant is only the beginning. The Digital Twin takes analytics to the next level by creating a virtual analytic model of assets within the plant. With the GE Digital Twin power companies can understand how assets are performing in real time, and predict future performance.
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digital power plant, digital power, digital power station, distributor solution, efficiency of power generation, industrial power
    
GE Power
Published By: Google Analytics 360 Suite     Published Date: Jul 28, 2017
Today’s marketing leaders need sophisticated tools to turn data into cross-channel insights that improve performance. In a new report, Gartner compares 11 digital marketing analytics solutions across five key areas: data integration, exploration, advanced models, platform integrations, and measurement. Selecting the best solution for your team requires thoughtful analysis. How will you determine the best fit? Gartner’s Magic Quadrant can help.
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Google Analytics 360 Suite
Published By: CA Technologies EMEA     Published Date: Aug 07, 2017
Generate rich virtual data that covers the full range of possible scenarios and provide the unconstrained access to environments needed to deliver rigorously tested applications on time and within budget. Model complex live system data and apply automated rule-learning algorithms to pay off technical debt and uncover in depth understanding of composite applications, while exposing virtual data to distributed teams on demand and avoiding testing bottlenecks.
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virtual services, data, avoid project delays, ca technologies, continuous testing, testing effort, service virtualisation, delivery ecosystem
    
CA Technologies EMEA
Published By: IBM Watson Health     Published Date: Jul 09, 2018
Gaps in care in health systems cause higher mortality rates and inflate costs. Download this case study for a closer look at how one health system used IBM CareDiscovery data to prove to their board that an outpatient palliative care service line was viable in both cost savings and quality of care improvement.
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mortality rates, quality of care, palliative care, care continuum, clinical performance improvement, ibm, carediscovery, roi
    
IBM Watson Health
Published By: IBM APAC     Published Date: May 14, 2019
Machine Learning For Dummies, IBM Limited Edition, gives you insights into what machine learning is all about and how it can impact the way you can weaponize data to gain unimaginable insights. Your data is only as good as what you do with it and how you manage it. In this book, you discover types of machine learning techniques, models, and algorithms that can help achieve results for your company. This information helps both business and technical leaders learn how to apply machine learning to anticipate and predict the future. You will find topics like: - What is machine learning? - Explaining the business imperative - The key machine learning algorithms - Skills for your data science team - How businesses are using machine learning - The future of machine learning
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IBM APAC
Published By: Sprinklr     Published Date: Nov 22, 2016
Customer service today is broken, and the data shows it. Tried-and-true customer service models are losing your organization customers and prospects. So what is the solution? It’s called social customer service.
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social customer service, social media customer service, social media, social, customer service, customer care, customer reviews
    
Sprinklr
Published By: Here Technologies     Published Date: Apr 02, 2019
In this report, VSI applies HERE’s HD map data to a lane keeping application and examines performance of lane keeping with a map-based approach compared to a camera and computer vision-based approach. VSI tested the lane keeping system with and without map data on a local road in 3 scenarios: Lane lines expanding into a turn or exit lane An intersection without lane lines A widening in the lane The results show that in all scenarios, the computer-vision-only lane keeping systems got confused and made errors in a vehicle’s trajectory when lane markings were out of the ordinary or invisible. Faced with the same road conditions, the map-based lane keeping system stayed within the desired trajectory outperforming the compute- vision-only systems. This report proves that using a lane model from an HD map can solve common issues involved in computer-vision-only lane keeping.
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over the air technologies, location data, auto, mapping
    
Here Technologies
Published By: Nice Systems     Published Date: Feb 26, 2019
NICE has made a significant investment into AI and ML techniques that are embedded into its core workforce management solution, NICE WFM. Recent advancements include learning models that find hidden patterns in the historical data used to generate forecasts for volume and work time. NICE WFM also has an AI tool that determines, from a series of more than 40 models, which single model will produce the best results for each work type being forecasted. NICE has also included machine learning in its scheduling processes which are discussed at length in the white paper.
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Nice Systems
Published By: Pure Storage     Published Date: Mar 15, 2018
Managing technology refreshes is not a popular task among enterprise storage administrators, although it is a necessary task for successful businesses. As a business evolves, managing more data and adding new applications in the process, enterprise storage infrastructure inevitably needs to grow in performance and capacity. Enterprise storage solutions have traditionally imposed limitations in terms of their ability to easily accommodate technology refreshes that keep infrastructure current and operating reliably and most cost effectively. In 2015, Pure Storage introduced a new technology refresh model that has driven strong change in the enterprise storage industry by addressing the major pain points of legacy models and provided overall a much more cost-effective life-cycle management approach. In conjunction with other aspects of Pure Storage's enterprise storage product and services offerings, the company's "Evergreen Storage" technology refresh model has contributed to this all-f
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Pure Storage
Published By: Redstor UK     Published Date: Mar 12, 2018
A majority of businesses have adopted digital platforms across multiple channels and in many cases successfully utilised them to drive efficiency and profitability. Technology, and the data that often underpins it, has become an extremely valuable asset for businesses of all sizes. The way that companies do business has also changed and technology has played a key role in this, customers now expect instant gratification and a service model that suits their specific needs. This paper will analyse the cause and effect of companies implementing digital transformation strategies and understand the role of cloud technologies within this. It will also explore some of the wider aspects of business transformation and the journey’s businesses take to implement innovative technologies.
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digital, transformation, innovation, cloud, business, optimization
    
Redstor UK
Published By: IBM     Published Date: May 28, 2015
In this book, you look at how the Smarter Process approach helps you create a more customer-centric organization. You discover how four major technologies — mobile, cloud computing, Big Data, and social collaboration — are disrupting the way you do business and how you can work through the challenges.
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smarter process, data management, business models, blueworks live, big data, cloud computing, social collaboration, data center
    
IBM
Published By: IBM     Published Date: May 28, 2015
Transform your organization into a mobile enterprise for optimized business and customer-centric engagements
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smarter process, data management, business models, blueworks live, big data, cloud computing, social collaboration
    
IBM
Published By: IBM     Published Date: Apr 01, 2016
Read the eBook to: 1) Expand what you know about Big Data; 2) Learn about the Big Data Zones Model that brings a new approach to managing data, faster to deploy, faster to insights and with less risk; 3) Gain confidence in your Big Data projects and learn about the importance of governance in a Big Data world
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ibm, ibm connect, big data, big data zones model, data management
    
IBM
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18
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