data systems

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Published By: Oracle     Published Date: Jun 04, 2019
In our recent report, we look into the reasons why HR feel less than confident in their ability to manage the volume of data securely and ethically. From extracting the right type of insights to improving employee productivity and engagement to managing the skills pipeline. We look forwards to how HR can improve their systems by using automated technologies such as artificial intelligence and machine learning. Read the survey today to see how your organisation compares to your peers.
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Oracle
Published By: Alert Logic     Published Date: May 23, 2019
Organizations continue to adopt cloud computing at a rapid pace to benefit from increased efficiency, better scalability, and faster deployments. As more workloads are shifting to the cloud, cybersecurity professionals remain concerned about security of data, systems, and services in the cloud. To cope with new security challenges, security teams are forced to reassess their security posture and strategies as traditional security tools are often not suited for the challenges of dynamic, virtual and distributed cloud environments. This technology challenge is only exacerbated by the dramatic shortage of skilled cybersecurity professionals.
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Alert Logic
Published By: HERE Technologies     Published Date: May 22, 2019
Operational readiness depends on rich location data. When managing logistics and tracking high-value assets, there is no room for error and our new data-driven world demands richer, smarter advanced mapping and navigation services. The 2018 Counterpoint Research Location Ecosystems Update compared 16 location platform vendors—including Google, TomTom and Mapbox—and it named HERE the “undisputed leader” in location based services. Counterpoint recognized HERE for its integrated analytical capability and commitment to open partnerships, allowing for custom operational requirements and a truly mobile location intelligence platform. See how HERE provides the industry leading tools and expertise to process that data—streamlining the logistics supply chain, boosting responsiveness, and guaranteeing mission success.
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mapping, defence, location data.
    
HERE Technologies
Published By: TIBCO Software     Published Date: May 20, 2019
The biggest headache for most payment operations teams is cost control — and a large part of it comes from fraud management: Investigation teams waste large amounts of time just assembling the data needed to make decisions. Detection engines are always playing catchup with the latest fraud patterns. Ever changing regulations increase the time and cost required to reach compliance and meet audit standards. Given their scope and impact, replacing core fraud systems is not an option for most firms. But instead of replacing them, you can improve the investigative process with augmented investigation, and improve the detection process by enhancing current systems. This whitepaper describes three ways financial services firms can use TIBCO solutions to lower the cost of investigations through faster results, reduce fraud losses through better detection, and simplify audit and regulatory compliance through centralized access to information.
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compliance, audit, fraud, data, detection, transactions, investigation, cost
    
TIBCO Software
Published By: IBM APAC     Published Date: May 14, 2019
If anything is certain about the future, it’s that there will be more complexity, more data to manage and greater pressure to deliver instantly. The hardware you buy should meet today’s expectations and prepare you for whatever comes next. Power Systems are built for the most demanding, data-intensive, computing on earth. Our cloudready servers help you unleash insight from your data pipeline — from managing mission-critical data, to managing your operational data stores and data lakes, to delivering the best server for cognitive computing. With industry leading reliability and security, our infrastructure is designed to crush the most data-intensive workloads imaginable, while keeping your business protected. - Simplified Multicloud - Built-in end-to-end security - Proven Reliability - Industry-leading value and performance
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IBM APAC
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.
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Infinidat EMEA
Published By: Infinidat EMEA     Published Date: May 14, 2019
Continuous data availability is a key business continuity requirement for storage systems. It ensures protection against downtime in case of serious incidents or disasters and enables recovery to an operational state within a reasonably short period. To ensure continuous availability, storage solutions need to meet resiliency, recovery, and contingency requirements outlined by the organization.
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Infinidat EMEA
Published By: MalwareBytes EMEA     Published Date: May 10, 2019
INDUSTRY Education BUSINESS CHALLENGE Protect student data from threats posed by malware on teachers’ MacBook laptops IT ENVIRONMENT Avast antivirus, enterprise network security layers SOLUTION Malwarebytes Incident Response RESULTS Removed PUPs and malware from hundreds of Mac systems in just minutes Delivered instant visibility into connected systems and quarantined malware Reduced risk with ability to proactively detect and remediate threats
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MalwareBytes EMEA
Published By: MuleSoft     Published Date: Apr 15, 2019
Healthcare organizations across the care continuum, from hospitals and health systems, to health insurers, to life sciences companies, must digitally transform in order to address legislative and market disruption. Driving digital transformation in healthcare requires connectivity across an ever-increasing number of applications, data and devices. Because of this, connectivity has emerged as a bottleneck that slows the development of new applications and the adoption of new technologies. In response, leading healthcare organizations have adopted API-led connectivity, which eliminates this connectivity bottleneck and enables 2-5X IT project delivery. Download this eBook to learn: How leading healthcare organizations like Sutter Health, Premera Blue Cross and Hologic are leveraging API-led connectivity to accelerate IT project delivery speed How APIs can be used to address the unique business and IT challenges faced by health systems, health insurers and life sciences companies How Mu
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MuleSoft
Published By: Pure Storage     Published Date: Apr 10, 2019
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
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Pure Storage
Published By: Pure Storage     Published Date: Apr 10, 2019
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data
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Pure Storage
Published By: Pure Storage     Published Date: Apr 10, 2019
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly, and legacy storage systems are not keeping up. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
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Pure Storage
Published By: VMware     Published Date: Apr 09, 2019
It’s no secret financial services organizations own and operate legacy solutions. Some of these core processes are front and center, meeting customer needs; others are in the middle, supporting account handling operations; and still many more are in the back-office, handling data and managing analytics. The challenge for financial leaders is to ensure these traditional systems don’t prevent the delivery of great digital experiences now and into the future.
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VMware
Published By: Datastax     Published Date: Apr 08, 2019
For decades, organizations relied on traditional relational database management systems (RDBMS) to organize, store, and analyze their data. But then Facebook came along, and an RDBMS was suddenly not quite enough. The social giant needed a powerful database solution for its Inbox Search feature, and Apache Cassandra—a distributed NoSQL database—was born. Released as an open source project in July 2008, Cassandra—named after the mythological prophet who famously put a curse on an oracle—became an Apache Incubator project in March 2009. It graduated to a top-level project in February 2010
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Datastax
Published By: Datastax     Published Date: Apr 08, 2019
We live in the age of “multi”. Everything is becoming more complex, more “intelligent”, and more distributed. Hybrid cloud isn’t really the new frontier—some companies have been operating in a hybrid cloud environment for nearly a decade—the new frontier is learning HOW to take full advantage of hybrid cloud without creating data silos or busting the IT budget. Enterprises are, of course, always looking for ways to make their computer systems faster, more highly available, more fault tolerant, and simpler to scale. But in the age of “multi,” this is becoming harder and harder to do. Imagine running a social network with millions of U.S.-based users and millions of European users. You could host all your servers and data in the United States, but then all of your European users would have a slower experience using your application than their U.S.-based counterparts. You could host all your servers and data in Europe, but then the U.S.-based users would have a slower experience. An obvio
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Datastax
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: Group M_IBM Q2'19     Published Date: Apr 01, 2019
POWER9 provides the infrastructure foundation for a future-looking organization that is ready to meet today’s business challenges and tomorrow’s advancements. By updating your foundation with the latest POWER9-based servers, you can effectively run your mission-critical requirements alongside modern, dataintensive workloads. POWER9 gives you the reliability you’ve come to trust from IBM Power Systems, the security you need in today’s high-risk environment, and the innovation to propel your business into the future.
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Group M_IBM Q2'19
Published By: Schneider Electric     Published Date: Mar 28, 2019
Latest generation high density and variable density IT equipment create conditions that traditional data center cooling was never intended to address, resulting in cooling systems that are oversized, inefficient, and unpredictable. Room, row, and rack-based cooling methods have been developed to address these problems. This paper describes these improved cooling methods and provides guidance on when to use each type for most next generation data centers.
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variable density, schneider electric, data center cooling
    
Schneider Electric
Published By: Blue Prism     Published Date: Mar 28, 2019
Robotic process automation describes the use of technology to automate tasks that are traditionally done by a human being. The technology itself mimics an end user by simulating user actions such as navigating within an application or entering data into forms according to a set of rules. RPA is often used to automate routine administrative tasks that typically require a human being to interact with multiple systems, but RPA technology is evolving to support the automation of increasingly sophisticated processes at scale within enterprise architectures rather than on the desktop. Over the past two years, RPA has been adopted by a number of business process outsourcing (BPO) providers and a growing number of end-user organizations are now deploying the technology themselves to create “virtual workforces” of robotic workers.
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Blue Prism
Published By: Group M_IBM Q119     Published Date: Mar 11, 2019
This report explores a new breed of data warehouse that can operate in a world of legacy on-premise systems while exploiting the potential of cutting edge technologies and deployment styles
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Mar 11, 2019
The life of an enterprise architect is becoming busy and difficult. Before the era of big data, the enterprise architect “only” had to worry about the data and systems within their own data center. However, over the past decade there were revolutionary changes to the way information is used by businesses and how data management platforms support the information available from modern data sources.
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Group M_IBM Q119
Published By: AI Business     Published Date: Mar 11, 2019
LOOK TO RELEVANT USE CASES FOR YOUR BUSINESS. While use cases vary across industries, the most common ones fall into these categories and are usually associated with the listed neural network: • Image classification or object detection: convolutional neural network (CNN) • Time-series predictions: long short-term memory (LSTM) • Natural language processing: recurrent neural network (RNN) • Unlabeled data classification and data labeling: autoencoder (AE) • Anomaly detection: autoencoder (AE) • Recommender systems: multilayer perceptron (MLP) Work with your deep learning talent or consultants to identify which use cases best match your organization and desired solutions. Then recreate a successful, already proven method.
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AI Business
Published By: Canon Solutions America     Published Date: Feb 28, 2019
Limiting access to confidential client files is vital. But choosing the wrong document security solution can overwhelm your staff (and your IT department) and leave your data vulnerable. Learn five important features a security solution should offer.
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legal document management, best legal document management systems, law firm data breach, law firm security breach, law firm data security, legal document automation software
    
Canon Solutions America
Published By: Canon Solutions America     Published Date: Feb 28, 2019
Printers, scanners, mobile devices… It’s hard to imagine running a law office without them, but you should know they can expose your client data to theft or misuse. Learn why your office technology may not be as secure as you think.
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legal document management, best legal document management systems, law firm data breach, law firm security breach, law firm data security, legal document automation software
    
Canon Solutions America
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.
Tags : 
location data, auto, mapping
    
HERE Technologies
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