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Results 226 - 250 of 763Sort Results By: Published Date | Title | Company Name
By: IBM APAC     Published Date: May 14, 2019
Clients can realize the full potential of artificial intelligence (AI) and analytics with IBM’s deep industry expertise, technology solutions and capabilities and start to infuse intelligence into virtually every business decision and process. IBM’s AI & Analytics Services organization is helping enterprises get their data ready for AI and ultimately achieve stronger data-driven decisions; access deeper insights to provide improved customer care; and develop trust and confidence with AI-powered technologies focused on security, risk and compliance. Artificial intelligence (AI) is moving beyond the hype cycle, as more and more organizations seek to adopt AI-related technologies. These organizations are focusing on prioritizing functional areas and use cases, placing a stronger emphasis on topline growth, taking up a renewed interest in their data infrastructure and articulating greater unease about the skills of their knowledge workers. This report explores how they are approaching str
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IBM APAC
By: Sage People     Published Date: Jan 26, 2018
Do you know your people as well as you know your customers? Your people’s expectations and the way they work is changing. Employees are more diverse, mobile and technologically-savvy than ever before. HR processes are changing from focusing on transactions to knowing and engaging people. Just as sales and marketing teams use data to develop actionable and informed insights about their customers, you need to do the same in HR to know your people. Everything, from attracting and keeping the best talent, to creating better workplace experiences and increasing employee engagement and productivity, depends on smarter decisions. These in turn rely on more actionable insights. These are only possible through accurate HR data and analytics. They are vital to address the people challenges you face, so you can make smarter decisions.
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Sage People
By: Teradata     Published Date: Jan 16, 2015
This Neil Raden paper describes the current need for data warehousing, why SAP® BW is an incomplete choice and how Teradata Analytics for SAP® Solutions is a superior option. Download now!
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teradata, sap solutions, data warehouse, extracted data, data management
    
Teradata
By: Dassault Systèmes     Published Date: Jul 21, 2017
Obtaining a first-mover competitive advantage or faster time-to-market requires a new wave in analytics. Dassault Systèmes remains a leading innovator in Product Lifecycle Management (PLM) and has invested heavily in analytical technologies to further drive business benefits for its customers in the related areas of planning, simulation, insight and optimization. This white paper examines the challenges peculiar to PLM and why Dassault Systèmes’ EXALEAD offers the most appropriate solution. It also clearly positions EXALEAD PLM Analytics alongside related technologies like BI, data-warehousing and Big Data solutions. Understand and implement PLM Analytics to access actionable information, support accurate decision-making, and drive performance.
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product solutions, lifecycle management, tech products, data management tools, pdm, plm, process automation, product development speed
    
Dassault Systèmes
By: HERE Technologies     Published Date: Jun 14, 2019
With upward of a billion vehicles in operation across the world and rising urbanization there is an unprecedented level of traffic and congestion in our major towns and cities. On the front-line, are the emergency dispatchers and responders facing complex challenges as they attempt to overcome congested traffic, unexpected road closures and work zones as quickly as possible. Each additional minute of response time has the potential to save a life, reduce suffering or prevent unnecessary property damage. Most public safety and security organizations, however, are still using legacy location technology, which has its limitations and does not properly address some key challenges. As one of the world’s leading location platforms, HERE shares insights and solutions to improve emergency response times with real-time location data
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mapping, public saftey, location data
    
HERE Technologies
By: Taleo     Published Date: Nov 11, 2010
Talent Intelligence: Using Measurement to Better Manage the Workforce and HR: How can you better understand and engage your people for higher business performance? Talent intelligence aligns workforce data with business information to drive better decisions.
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taleo, intelligence, workforce, engagement, knowledge infusion
    
Taleo
By: Taleo     Published Date: Nov 11, 2010
Podcast interview with Gerry Crispin of CareerXroads and Peter Clayton of Total Picture Radio on how recruiters are using Web 2.0 technologies to recruit, brand, collect data, and strategize new avenues in today's talent landscape.
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talent management, human capital management, hcm, integrated, integration, visibility, integrate, alignment
    
Taleo
By: Teradata     Published Date: May 02, 2017
Read this article to discover the 4 things no data warehouse should be without.
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cloud data, cloud security, cloud management, storage resource, computing resources, data warehousing, data storage, cloud efficiency
    
Teradata
By: Teradata     Published Date: May 02, 2017
A Great Use of the Cloud: Recent trends in information management see companies shifting their focus to, or entertaining a notion for the first time of a cloud-based solution. In the past, the only clear choice for most organizations has been on-premises data—oftentimes using an appliance-based platform. However, the costs of scale are gnawing away at the notion that this remains the best approach for all or some of a company’s analytical needs. This paper, written by McKnight Consulting analysts William McKnight and Jake Dolezal, describes two organizations with mature enterprise data warehouse capabilities, that have pivoted components of their architecture to accommodate the cloud.
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data projects, data volume, business data, cloud security, data storage, data management, cloud privacy, encryption
    
Teradata
By: Forcepoint     Published Date: Apr 20, 2016
The longer attackers remain in your network, the more lateral movement is possible and the greater the risk for data theft. Stopping the exfiltration of data, rather than focusing on stopping data breaches, is the most realistic approach to data security and reducing cyber dwell time.
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cyber attack, security, security application, cybersecurity, cybersecurity, attack preventing, data security, access control
    
Forcepoint
By: NAVEX Global     Published Date: Mar 11, 2014
This report reviews all-industry benchmarks created using data from all participating companies 4,600, in the NAVEX Global database and should serve as an excellent starting point for companies wishing to assess their organization’s reporting data—and help equip them to make informed decisions about programme effectiveness, potential problem areas and necessary resource allocations.
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ethics, compliance, benchmarks, navex
    
NAVEX Global
By: NetApp     Published Date: Feb 19, 2015
NetApp Flash Pool is a storage cache option within the NetApp Virtual Storage Tier product family, available for NetApp FAS storage systems. A Flash Pool configures solid state drives (SSDs) and hard disk drives (HDDs) into a single storage pool, known as an “aggregate” in NetApp parlance, with the SSDs providing a fast response time cache for volumes that are provisioned on the Flash Pool aggregate. In this lab evaluation, NetApp commissioned Demartek to evaluate the effectiveness of Flash Pool with different types and numbers of hard disk drives using an online transaction processing (OLTP) database workload, and to evaluate the performance of Flash Pool in a clustered Data ONTAP environment during a cluster storage node failover scenario. In the report, you’ll dis cover how Demartek test engineers documented a 283% gain in IOPS and a reduction in latency by a factor of 66x after incorporating NetApp Flash Pool technology.
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NetApp
By: IBM     Published Date: Jul 14, 2016
This video describes how data scientists, analysts and business users can save precious time by using a combination of SPSS and Spark to uncover and act on insights in big data.
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ibm, data, analytics, predictive business, ibm spss, apache spark, coding, data science
    
IBM
By: IBM     Published Date: Oct 13, 2016
IBM InfoSphere Information Server connects to many new ‘at rest’ and streaming big data sources, scales natively on Hadoop using partition and pipeline parallelism, automates data profiling, provides a business glossary, and an information catalog, plus also supports IT.
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ibm, data, analytics, big data, data integration, data management
    
IBM
By: IBM     Published Date: Jan 27, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.
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IBM
By: IBM     Published Date: Jul 06, 2017
DB2 is a proven database for handling the most demanding transactional workloads. But the trend as of late is to enable relational databases to handle analytic queries more efficiently by adding an inmemory column store alongside to aggregate data and provide faster results. IBM's BLU Acceleration technology does exactly that. While BLU isn't brand new, the ability to spread the column store across a massively parallel processing (MPP) cluster of up to 1,000 nodes is a new addition to the technology. That, along with simpler monthly pricing options and integration with dashDB data warehousing in the cloud, makes DB2 for LUW, a very versatile database.
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memory analytics, database, efficiency, acceleration technology, aggregate data
    
IBM
By: IBM     Published Date: Jul 06, 2017
Effectively using and managing information has become critical to driving growth in areas such as pursuing new business opportunities, attracting and retaining customers, and streamlining operations. In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before. These needs create a daunting array of workload challenges and place tremendous demands on your underlying IT infrastructure and database systems. In many cases, these systems are no longer up to the task—so it’s time to make a decision. Do you use more staff to keep up with the fixes, patches, add-ons and continual tuning required to make your existing systems meet performance goals, or move to a new database solution so you can assign your staff to new, innovative projects that move your business forward?
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database, growth, big data, it infrastructure, information management
    
IBM
By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing. To make the most of these next-generation applications, you need a next-generation database. It must handle a massive volume of data while delivering high performance to support real-time analytics. At the same time, it must provide data availability for demanding applications, scalability for growth and flexibility for responding to changes.
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database, applications, data availability, cognitive applications
    
Group M_IBM Q1'18
By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
Effectively using and managing information has become critical to driving growth in areas such as pursuing new business opportunities, attracting and retaining customers, and streamlining operations. In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before. These needs create a daunting array of workload challenges and place tremendous demands on your underlying IT infrastructure and database systems. This e-book presents six reasons why you should consider a database change, including opinions from industry analysts and real-world customer experiences. Read on to learn more.
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database, streamlining, it infrastructure, database systems
    
Group M_IBM Q1'18
By: Oracle     Published Date: Jan 28, 2019
Oracle Engineered Systems are architected to work as a unified whole, so organizations can hit the ground running after deployment. Organizations choose how they want to consume the infrastructure: on-premises, in a public cloud, or in a public cloud located inside the customer’s data center and behind their firewall using Oracle’s “Cloud at Customer” offering. Oracle Exadata and Zero Data Loss Recovery Appliance (Recovery Appliance) offer an attractive alternative to do-it-yourself deployments. Together, they provide an architecture designed for scalability, simplified management, improved cost of ownership, reduced downtime, zero-data loss, and an increased ability to keep software updated with security and patching. Download this whitepaper to discover ten capabilities to consider for protecting your Oracle Database Environments.
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Oracle
By: Intel     Published Date: Apr 16, 2019
Gartner predicts that the public cloud market will surpass USD 300 billion by 2021 . With the big players (Amazon, Google, Microsoft and IBM) taking home 63 percent of the market share , how will next wave CSPs stand out from the crowd? Download Intel's latest whitepaper, Differentiating for Success: A Guide for Cloud Service Providers' to discover how to offer unique services, including: - Providing workload-specific optimizations, for example machine learning or high-performance computing - Targeting a particular geographical area - Focusing on an industry, such as financial services - Delivering emerging technology, such as virtual reality, in-memory databases, and containerization
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Intel
By: Intel     Published Date: Apr 16, 2019
The data center is coming under immense pressure. The boom in connected devices means increasing volumes of data – and all that needs processing. One way for CSPs to accelerate customer workloads is by using FPGAs, which are easier to use than ever before. Download Intel's latest eGuide, ‘FPGA-as-a-Service: A Guide for CSPs' to discover: • How to add FPGAs to the data center • The structure of the Intel® Acceleration Stack for FPGAs • Adding off-the-shelf accelerator functions • How FPGAs can accelerate many cloud services, such as database as a service and analytics as a service
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Intel
By: Entrust Datacard     Published Date: Jun 09, 2017
The rapid adoption of Office 365 means that work created using the Microsoft product contains a large amount of the business world’s sensitive information. In fact, in most enterprises using Office 365, more than half of that highly valuable information — including business plans, sales data, product designs, M&A details and financial forecasts — is contained within Excel, PowerPoint, Word, Outlook and other Microsoft software. Securing the information created with its products has emerged as a primary concern for CSOs, CIOs, IT departments and other C-level executives.
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Entrust Datacard
By: Citrix Systems     Published Date: Jul 25, 2016
The modern enterprise workforce poses new challenges for IT. Today’s employees work in more places, on more devices— personal or company-owned—and over more networks than ever, using a diverse array of datacenter applications, mobile apps, SaaS and cloud services. As they move among apps, networks and devices, IT needs to be able to control access and ensure data and application security without impeding productivity. That means enabling users to get to work quickly and easily in any scenario without having to deal with different ways of accessing each app. Traditional VPNs and point solutions add complexity for both users and IT, increase costs and fail to enable a holistic approach to business mobility. Over the years, many IT organizations have addressed these evolving requirements through point solutions and by case-by-case configuration of access methods. The resulting fragmented experience poses a key roadblock to productivity and increases user frustration. For IT, the lack of a
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Citrix Systems
By: Teradata     Published Date: Jun 14, 2013
This paper explains how customer relationships can be threatened by lack of insight into their behaviors and preferences and how financial services organizations can use data analytics and customer-centric marketing to improve these relationships and drive business.
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customer data analytics, data driven marketing, customer relationships, customer centric marketing
    
Teradata
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