data quality

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Published By: AWS     Published Date: Jun 11, 2019
Join us to learn why Human-in-the-Loop training data should be powering your machine learning (ML) projects and how to make it happen. If you’re curious about what human-in-the-loop machine learning actually looks like, join Figure Eight CTO Robert Munro and AWS machine learning experts to learn how to effectively incorporate active learning and human-in-the-loop practices in your ML projects to achieve better results. You'll learn: When to use human-in-the-loop as an effective strategy for machine learning projects How to set up an effective interface to get the most out of human intelligence How to ensure high-quality, accurate data sets When: Available On Demand (please register to view) Who Should Attend: IT leaders and professionals, line-of-business managers, business decision makers, data scientists, developers, and other experts interested in implementing AI/ML on the cloud are encouraged to attend this webinar. AWS Speaker: Chris Burns, Solutions Architect Figure Eight Spea
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AWS
Published By: AWS     Published Date: Jun 11, 2019
Join us to learn why Human-in-the-Loop training data should be powering your machine learning (ML) projects and how to make it happen. If you’re curious about what human-in-the-loop machine learning actually looks like, join Figure Eight CTO Robert Munro and AWS machine learning experts to learn how to effectively incorporate active learning and human-in-the-loop practices in your ML projects to achieve better results. You'll learn: When to use human-in-the-loop as an effective strategy for machine learning projects How to set up an effective interface to get the most out of human intelligence How to ensure high-quality, accurate data sets When: Available On Demand (please register to view) Who Should Attend: IT leaders and professionals, line-of-business managers, business decision makers, data scientists, developers, and other experts interested in implementing AI/ML on the cloud are encouraged to attend this webinar. AWS Speaker: Chris Burns, Solutions Architect Figure Eight Spea
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AWS
Published By: Group M_IBM Q2'19     Published Date: May 28, 2019
Amid the rising costs of healthcare, employers and health plans are under increasing pressure to produce fast insights from their data to help drive business decisions, identify opportunities to reduce cost, improve care quality and generate reports for diverse stakeholders. But these professionals often lack the time, resources and analytic expertise necessary to integrate and interpret the massive amounts of disparate data available to them.
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Group M_IBM Q2'19
Published By: Forcepoint     Published Date: May 14, 2019
2018 NSS Labs SD-WAN Group Test In this report, NSS Labs simulated an enterprise network that has branches connected to a data center through two links: an MPLS line and a commercial broadband connection. They reviewed a select number of vendors, testing their throughput performance, video quality and VoIP quality as well as security effectiveness. NSS Labs verified that Forcepoint NGFW handled all of their use cases and offers all the operational capabilities that they recommend as necessary for SD-WAN as well as scoring 100% across all security tests, blocking all evasion techniques. “Forcepoint is one of the few vendors to support all of the use cases and capabilities we tested as well as strong security in their SD-WAN solution. They should be on the short list for any organization that’s looking to connect and protect their distributed enterprise.” - Vikram Phatak, CEO, NSS Labs Read the report and learn how Forcepoint delivers SD-WAN with enterprise scale and security to ma
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Forcepoint
Published By: Forcepoint     Published Date: May 14, 2019
2018 NSS Labs SD-WAN Group Test In this report, NSS Labs simulated an enterprise network that has branches connected to a data center through two links: an MPLS line and a commercial broadband connection. They reviewed a select number of vendors, testing their throughput performance, video quality and VoIP quality as well as security effectiveness. NSS Labs verified that Forcepoint NGFW handled all of their use cases and offers all the operational capabilities that they recommend as necessary for SD-WAN as well as scoring 100% across all security tests, blocking all evasion techniques. “Forcepoint is one of the few vendors to support all of the use cases and capabilities we tested as well as strong security in their SD-WAN solution. They should be on the short list for any organization that’s looking to connect and protect their distributed enterprise.” - Vikram Phatak, CEO, NSS Labs Read the report and learn how Forcepoint delivers SD-WAN with enterprise scale and security to ma
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Forcepoint
Published By: Forcepoint     Published Date: May 14, 2019
2018 NSS Labs SD-WAN Group Test In this report, NSS Labs simulated an enterprise network that has branches connected to a data center through two links: an MPLS line and a commercial broadband connection. They reviewed a select number of vendors, testing their throughput performance, video quality and VoIP quality as well as security effectiveness. NSS Labs verified that Forcepoint NGFW handled all of their use cases and offers all the operational capabilities that they recommend as necessary for SD-WAN as well as scoring 100% across all security tests, blocking all evasion techniques. “Forcepoint is one of the few vendors to support all of the use cases and capabilities we tested as well as strong security in their SD-WAN solution. They should be on the short list for any organization that’s looking to connect and protect their distributed enterprise.” - Vikram Phatak, CEO, NSS Labs Read the report and learn how Forcepoint delivers SD-WAN with enterprise scale and security to ma
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Forcepoint
Published By: Procore     Published Date: May 13, 2019
As the construction industry becomes more competitive, regulations increase and skilled labour becomes more selective; the one thing that will define your company from the competition is your data. The best companies use real, situational data in pre-task analyses daily to report on and improve their Quality, Safety and Productivity processes and performance. Download your copy to learn: • The importance of including quality, safety and productivity in your pre-task analyses • Using the three-part task-analysis approach • How to collect meaningful data to track performance
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Procore
Published By: Flexera     Published Date: May 06, 2019
Using new technology to set your business apart can make the difference between getting ahead or falling behind. But staying in control of the growing complexity is a challenge. Enterprise Architecture (EA), IT Service Management (ITSM) and Security teams need enriched technology asset data and accurate analytics so they can keep the enterprise running like a well-oiled machine. Join us to hear R “Ray” Wang, Principal Analyst and Founder of Constellation Research, and Alan Lopez, Senior Director of Global Product Marketing from Flexera, discuss use cases where asset data and analytics are becoming business-critical. Watch the webinar.
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Flexera
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: Schneider Electric     Published Date: Mar 28, 2019
To win the colocation race you need to be faster, reliable, innovative and efficient –all while making smarter design choices that will ensure positive returns. Customers are demanding 100% uptime and always-on connectivity –be it small enterprises to large Internet Giants–and colocation providers need to meet these expectations. The growing adoption of prefabricated data centers allows just that. With the undisputed benefits of prefab modules and building components(like speed or quality),colocation providers can manage their business today, and deploy faster in the future. Chris Crosby, CEO for Compass Datacenters, is well-known for his expertise in the data center industry. From its founding in 2012, Compass’ data center solutions have used prefabricated components like exterior walls and power centers to deliver brandable, dedicated facilities for colocation providers. Prefabrication is the central element of the company’s “Kit of Parts” methodology that delivers customizable data center solutions from the core to the edge. By attending this webinar, colocation providers will: • understand the flexibility and value delivered via the use of prefabricated construction • Hear the common misperceptions regarding prefabricated modules and data center components • learn how prefabricated solutions can provide more revenue generation capability than competing alternatives • know what key things to consider when evaluating prefabricated data center design
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data centers, colocation provider, schneider electric, - modular data centers, prefabricated data center
    
Schneider Electric
Published By: Red Hat     Published Date: Mar 28, 2019
Technology has fundamentally changed the way we live. Access to data and information anytime, anywhere is no longer a luxury—it is a requirement, in both our personal and professional lives. For IT organizations, this means pressure has never been greater to deliver higher-quality applications more often, enabling companies to stay relevant and seize digital business opportunities. Cloud-native is an approach to building applications that takes advantage of cloud computing models and DevOps principles to make the delivery of new features and services faster and more flexible. With a cloud-native strategy, organizations can begin the culture, process, and technology changes needed to meet new demands and become an IT organization that can deliver business innovation faster.
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Red Hat
Published By: SAS     Published Date: Mar 20, 2019
In today’s crowded analytics marketplace, who can you trust? What’s needed to deliver on the promise of transforming data into real value? And what do CIOs need to cost-effectively and successfully lead their organizations through changing technologies? For an organization to experiment with (and ultimately deploy) analytics, the responsibility falls squarely on the shoulders of IT. IT must provide secure access to lots of high-quality data, a friendly environment for experimentation and discovery, and a method for rapidly deploying and governing models. SAS can support an organization's journey toward becoming a data- and analytics-driven organization. We can help unlock the value by enabling with choices that make sense. Plus, we can show organizations how to get the most out of technology investments.
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SAS
Published By: SambaSaftey     Published Date: Mar 15, 2019
Today, it’s commonplace for companies to check the motor vehicle records (MVRs) of their drivers once a year. That’s considered due diligence. But what if one driver gets a moving violation or a citation for driving under the influence three weeks after the report was pulled? It could take months for that potentially costly issue to come to light. Likewise, a driver safety policy issued annually is typically worth about as much as the paper it’s written on. There is great potential in setting high standards and creating positive driving behaviors, but this must be a continual process informed by concrete policies, shared motivation to improve, useful data, and quality leadership. Fortunately, several important practices can help companies create a better safety culture –saving money, reducing risk and legal vulnerability, and keeping employees and communities safe. Here’s how.
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SambaSaftey
Published By: Trifacta     Published Date: Feb 12, 2019
In recent years, a new term in data has cropped up more frequently: DataOps. As an adaptation of the software development methodology DevOps, DataOps refers to the tools, methodology and organizational structures that businesses must adopt to improve the velocity, quality and reliability of analytics. Widely recognized as the biggest bottleneck in the analytics process, data preparation is a critical element of building a successful DataOps practice by providing speed, agility and trust in data. Join guest speaker, Forrester Senior Analyst Cinny Little, for this latest webinar focusing on how to successfully select and deploy a data preparation solution for DataOps. The presentation will include insights on data preparation found in the Forrester Wave™: Data Preparation Solutions, Q4 2018. In this recorded webinar you will learn: • Where does data preparation fit within DataOps • What are the key technical & business differentiators of data preparation solutions • How to align the righ
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Trifacta
Published By: HERE Technologies     Published Date: Feb 12, 2019
How does a transport authority to provide the safest and most efficient road network possible? How does it ensure the supply of data on road closures, accidents and disruptive events used in its decision-making is of the highest quality? This ebook examines the process used by HERE Technologies to produce industry-leading traffic content. As the foremost global provider of traffic incident information, HERE is well placed to help transport authorities exceed expectations as it produces evermore precise and granular data around the incidents that impact traffic flow.
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public sector, urbanization, traffic management
    
HERE Technologies
Published By: HERE Technologies     Published Date: Feb 12, 2019
Get higher quality, more accurate location data – and a safer, more profitable fleet – by choosing the right location services provider. The true value of a location platform comes from bringing together multiple data sources and presenting them in a meaningful way. Using a platform approach, you can help customers differentiate their service, increase margins and increase safety. So, in this guide, we cover the four key considerations for choosing a mapping and location service platform to ensure a high quality, accurate mapping service for you and your customers. Download the eBook
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location data, transport & logistics, location services
    
HERE Technologies
Published By: Artemis Health     Published Date: Feb 05, 2019
Self-insured employers are mining their health and benefits data to save costs and provide quality care for employees. Data is driving business decisions, but how do you get from millions of rows of data to a consumable graph to taking action? In this white paper, we’ll delve into data analytics best practices that help self-insured employers find actionable insights in their benefits data. • Which data sources will help you ensure you’re measuring the right thing at the right time • How to ensure data variety and choose key metrics • An example of a successful predictive analysis using benefits data
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Artemis Health
Published By: TIBCO Software     Published Date: Feb 01, 2019
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and no need to rework faulty products. To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support. At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
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data, product, manufacturers, manufacturing, processes, technologies, analysis, quality, machine, analytics
    
TIBCO Software
Published By: Progress     Published Date: Jan 22, 2019
The customer experience is incredibly important to business success and is often tied to customer engagement, retention rates, revenue, purchase frequency and overall loyalty. Today, the customer journey is incredibly complex, with everything from geographic location to data quality influencing the customer experience. As a result, brands may not be making the most of their customer experiences.
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Progress
Published By: TIBCO Software     Published Date: Jan 17, 2019
2x faster time to market, single view of a client, improved data quality
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data, client, virtualization, software, quality, distribution, bank, access, customer
    
TIBCO Software
Published By: Delphix EMEA     Published Date: Jan 17, 2019
“In the rush to develop apps faster and deliver more, it’s easier than ever for things to fall through the cracks, like every hasty +1’ed dev/test environment creating a potential security minefield of unmasked sensitive fields. Without the right dev processes, it’s not just security that suffers. With the typical developer spending around 12-hours a week on tasks like setting up and configuring environments or relying on worthless fake data, productivity and quality often fall victim too. Download the Developer Confessions chapter to discover the biggest frustrations we hear from developers, how to balance access to data with data security, and proven ways to speed up developer productivity.”
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Delphix EMEA
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
By processing real-time data from machine sensors using arti?cial intelligence and machine learning, it’s possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield.
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TIBCO Software GmbH
Published By: Group M_IBM Q119     Published Date: Jan 08, 2019
The discipline of data quality assurance ensures that data is "fit for purpose" in the context of existing business operations, analytics and emerging digital business scenarios. It covers much more than just technology. It includes program management, roles, organizational structures, use cases and processes (such as those for monitoring, reporting and remediating data quality issues). It is also linked to broader initiatives in the field of enterprise information management (EIM), including information governance and master data management (MDM)
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Group M_IBM Q119
Published By: Claravine     Published Date: Jan 03, 2019
Marketers have long struggled with the simple task of knowing which marketing spend is truly effective, and how to optimize that spend. At the heart of the issue lies the challenge of ensuring the data quality and consistency exists to make decisions based on real intelligence. Why is this a problem? First, effective tracking is reliant on the consistent, complete application of campaign tracking codes and associated metadata, which has traditionally been a manual, ungoverned process. Adding to this complexity has been the dramatic expansion of digital marketing point solutions, and the disparate teams expected to execute across each of these channels and geographies. The result is what you would expect—highly inaccurate, incomplete, and inconsistent data that must be manually cleaned before reporting is possible. Fortunately a solution exists. Progressive marketing leaders are implementing Digital Experience Data Management (DXDM), ensuring the rich, consistent insights critical to ma
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Claravine
Published By: IBM Watson Health     Published Date: Dec 10, 2018
In this case study, large health systems implement IBM Watson Health to surface improvement opportunities. Using this tool, they were able to cut costs, reduce patients’ length of stay, acquire actionable data, address number of readmissions and improve management of COPD and sepsis.
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hospitals, health systems, healthcare, analytics, data, insights, case study, performance improvement, healthcare insights, cost, length of stay, financial performance data, readmissions, quality performance, benchmarks, dashboards, patient volume, savings
    
IBM Watson Health
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