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Published By: Gigaom     Published Date: Oct 15, 2019
Data pipelines are a reality for most organizations. While we work hard to bring compute to the data, to virtualize and to federate, sometimes data has to move to an optimized platform. While schema-on-read has its advantages for exploratory analytics, pipeline-driven schema-on-write is a reality for production data warehouses, data lakes and other BI repositories. But data pipelines can be operationally brittle, and automation approaches to date have led to a generation of unsophisticated code and triggers whose management and maintenance, especially at-scale, is no easier than the manually-crafted stuff. But it doesn’t have to be that way. With advances in machine learning and the industry’s decades of experience with pipeline development and orchestration, we can take pipeline automation into the realm of intelligent systems. The implications are significant, leading to data-driven agility while eliminating denial of data pipelines’ utility and necessity. To learn more, join us fo
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Gigaom
Published By: Panasonic     Published Date: Oct 10, 2019
Mobility is critical to government productivity, but mobile data and devices present attractive targets to cybercriminals seeking to exploit vulnerabilities across the spectrum.
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Panasonic
Published By: AWS     Published Date: Oct 07, 2019
Hear from speakers: Danielle Greshock, Sr. Manager, Amazon Web Services, Inc. (AWS) Vincent Lam, Head of Cloud Product Marketing, Talend Andy McPhee, Data & Analytics Engineering Director, AstraZeneca
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AWS
Published By: HERE Technologies     Published Date: Sep 30, 2019
Whenever personal data related to us is anonymized, it has been manipulated in such a way that it can no longer be linked back to us, right? Think again. In the digital era, we do not always blend into the crowd. Location data is part of this equation because our mobility habits are unique to us. Techniques like anonymization offer service providers numerous ways to protect privacy while retaining enough data to be useful - the challenge is finding the right balance. By reading this eBook, you’ll discover critical ways public and private organizations can help protect users’ privacy: Find out why de-identification does not always mean anonymity Understand how privacy by design can be used for standards and product or service creation Discover how gathering just data you need will minimize the privacy impact of collection Find out about new and emerging privacy-enhancing technologies
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HERE Technologies
Published By: Oracle     Published Date: Sep 26, 2019
It’s not uncommon to find slick-looking user interfaces, well-run product demos, and exciting sales narratives when evaluating a data management platform (DMP), but don’t let those features distract from the elements needed for day-to-day and long-term strategic success of a DMP. Whether you’re looking to invest in a DMP for the first time or want to switch to a new provider, there are a few crucial factors to consider before signing on the dotted line. Key functionality, architecture, and partnership dynamics are all important factors, but they rarely surface until your team is hands-on and using the platform. Once you dig in, it can quickly become apparent that a shiny interface and smart storytelling are a distraction from what really matters—at this point, it’s often too late. Avoid buyer’s remorse by considering these seven facets of all DMP providers before making your decision.
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Oracle
Published By: HERE Technologies     Published Date: Sep 26, 2019
Whenever personal data related to us is anonymized, it has been manipulated in such a way that it can no longer be linked back to us, right? Think again. In the digital era, we do not always blend into the crowd. Location data is part of this equation because our mobility habits are unique to us. Techniques like anonymization offer service providers numerous ways to protect privacy while retaining enough data to be useful - the challenge is finding the right balance. By reading this eBook, you’ll discover critical ways public and private organizations can help protect users’ privacy: • Find out why de-identification does not always mean anonymity • Understand how privacy by design can be used for standards and product or service creation • Discover how gathering just data you need will minimize the privacy impact of collection • Find out about new and emerging privacy-enhancing technologies
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HERE Technologies
Published By: Adobe     Published Date: Sep 23, 2019
Across every industry, many of the world's best and fastest-growing brands are using Adobe Experience Manager to deliver personalised content accurately and on time. Why should the target audience care? 86% of buyers will pay more for a better customer experience. What’s more, customer experience will overtake price and product as the key brand differentiator among consumers by 2020. Supporting Concepts: With Adobe Experience Manager, high levels of customer experience personalization, workflow efficiency, and data analysis are no longer cost- and resource-prohibitive dreams for only the biggest players. Brands featured include Silicon Labs, Morningstar, Swisscom, Raiffeisen, Hyatt, Nissan, Sony, SAS, Informatica, Jefferson Health.
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Adobe
Published By: Intel     Published Date: Sep 20, 2019
AI is fundamentally reshaping business as we know it. It drives innovation, efficiency, productivity, new operational models, and entirely new revenue opportunities. It is no wonder, then, that enterprises of all sizes are keen to adopt this transformative technology. When embarking on the AI journey, however, it is critical to understand that data is the heart of any effective AI algorithm. So, for any enterprise looking to harness the promise of AI, the first question to ask is quite simply, “is my data ready?” This technology brief simplifies the path to AI by offering actionable steps to data readiness.
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Intel
Published By: Shape Security     Published Date: Sep 16, 2019
More than 50% of all e-commerce fraud losses are from cyberattacks such as account takeover, gift card cracking and inventory scalping. While these attacks occur year round, the majority of losses are sustained during peak seasonal promotions and new product releases. Watch this briefing to learn the anatomy of the costliest attacks on web and mobile applications, and insights from Top 10 Retailers on successful mitigation techniques. Topics covered include: Top 3 retail attack techniques Analysis of attack data during sales promotions Best practices from Top 10 Retailers
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Shape Security
Published By: Infosys     Published Date: Sep 12, 2019
Digital-born companies have challenged large long-established businesses across industries with newer data, AI-powered experiences, products/services. Sustained competitive advantage through customer ownership and seller power has since been significantly challenged and overturned. Customers are taking to newer AI and data-powered products/services in their pursuit of better experiences and exponentially higher value. This has triggered every company to challenge status-quo, unleash themselves from very structure of industry and embrace transformation in the new world. Data and AI have shaped themselves into a major economic force that is at the epicenter of transformation of every industry; through 3 horizons. Data, in the first horizon, was the key ingredient in driving more data-driven decisions. Data, in the second horizon, is playing a transformational role in the enterprises' pursuit of being Data Native Digital Native enterprise.
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Infosys
Published By: Gigamon     Published Date: Sep 03, 2019
Network performance and security are vital elements of any business. Organisations are increasingly adopting virtualisation and cloud technologies to boost productivity, cost savings and market reach. With the added complexity of distributed network architectures, full visibility is necessary to ensure continued high performance and security. Greater volumes of data, rapidlyevolving threats and stricter regulations have forced organisations to deploy new categories of security tools, e.g. Web Access Firewalls (WAFs) or Intrusion Prevention Systems (IPS). Yet, simply adding more security tools may not always be the most efficient solution.
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Gigamon
Published By: HERE Technologies     Published Date: Aug 28, 2019
Mapping, tracking, positioning and real-time data arekey to supporting defense and intelligence initiatives. Governments and agencies need location data they can trust to track and adjust fixed and mobile resources to address rapidly changing events and circumstances. With Ovum's Location Platform Index: Mapping and Navigation, agencies can assess location platform industry leaders and identify the platform that best meets their product development demands. This year, HERE Technologies cemented its role as the industry leader, earning the highest ranking, and besting Google, for the second time in a row. Download your free report to learn: The relative strengths and weaknesses of each vendor, including data, enablers and features Vendor strategies to keep up with changes in technologies and trends The specific workings of the location platform market, and to better understand what constitutes a healthy location platform and which provider offers the correct portfolio and the necess
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data, platform, mapping, developers, index, vendors, capabilities, maps
    
HERE Technologies
Published By: ASME - Formlabs     Published Date: Aug 28, 2019
Rapid prototyping helps companies turn ideas into realistic proofs of concept, advances these concepts to high-fidelity prototypes that look and work like final products, and guides products through a series of validation stages toward mass production. With rapid prototyping, designers and engineers can create prototypes directly from CAD data faster than ever before, and execute quick and frequent revisions of their designs based on real-world testing and feedback. Download this white paper to learn: How rapid prototyping fits into the product design process The applications of rapid prototyping from concept models to manufacturing An overview and comparison of 3D printing technologies for rapid prototyping: FDM vs. SLA vs. SLS
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ASME - Formlabs
Published By: AWS     Published Date: Aug 26, 2019
Empower your developers and drive productivity by leveraging Kubernetes. Carmen Puccio, Principal Solutions Architect, Amazaon Web Services, Inc. Michael Gerstenhaber, Director of Product, Datadog Jon Moter, Senior Principal Engineer, Zendesk
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AWS
Published By: MicroStrategy     Published Date: Aug 21, 2019
To survive and thrive in an era of accelerating digital disruption, organizations require accessible data, actionable insights, continuous innovation, and disruptive business models. It’s no longer enough to prioritize and implement analytics – leaders are being challenged to stop doing analytics just for analytics’ sake and focus on defined business outcomes. In addition, these leaders are being challenged to bring predictive capabilities and even prescriptive recommended actions into production at scale. As AI and accelerated growth and transformation become top of mind, many enterprises are realizing that their current segmented analytics approach isn’t built to last, and that real transformation will require proper endto- end data management, data security, and a data processing platform company-wide. The year 2019 will be a turning point for many organizations that realize being data-driven doesn’t guarantee future success.
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MicroStrategy
Published By: Tricentis     Published Date: Aug 19, 2019
Think back just 5 years ago. In 2014… • The seminal DevOps book—Gene Kim’s The Phoenix Project—was one year old • Gartner predicted that 25% of Global 2000 enterprises would adopt DevOps to some extent by 20161 • "Continuous Testing” just started appearing in industry publications and conferences2 • Many of today’s popular test frameworks were brand new—or not yet released • The term “microservices” was just entering our lexicon • QC/UFT and ALM were still sold by HP (not even HPE yet) • Only 30% of enterprise software testing was performed fully “in house”3 • There was no GDPR restricting the use of production data for software testing • Packaged apps were typically updated on an annual or semi-annual basis and modern platforms like SAP S/4HANA and Salesforce Lightning hadn’t even been announced Times have changed—a lot. If the way that you’re testing hasn’t already transformed dramatically, it will soon. And the pace and scope of disruption will continue to escalate throughout the fo
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Tricentis
Published By: Jamf     Published Date: Aug 12, 2019
A well-planned cyberattack or an accidental download of malware can mean the difference between a productive day and all work grinding to a halt. As hackers get more sophisticated, organizations concerned about their bottom line and security of their customer, employee or student data must stay on top of security.
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Jamf
Published By: Group M_IBM Q3'19     Published Date: Aug 12, 2019
The introduction of the IBM z14 ZR1 and LinuxONE Rockhopper II fills out the product line of the latest generation of IBM mainframes. Infrastructure and operations leaders tasked with managing, protecting and, increasingly, using data for competitive advantage will find this new release interesting.
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Group M_IBM Q3'19
Published By: Cohesity     Published Date: Aug 09, 2019
As organizations continue to look for ways to increase business agility, a need for a modern database architecture that can rapidly respond to the needs of business is more apparent than ever. While an RDBMS still serves as a lifeline for many organizations, the adoption of technologies such as NoSQL and Hadoop are enabling organizations to best address database performance and scalability requirements while also satisfying the goals of embracing hybrid cloud and becoming more data-driven. And with organizations relying so heavily on these new technologies to yield rapid insights that positively impact the business, the need to evaluate how those new technologies are managed and protected is essential. Hadoop and NoSQL workloads are now pervasive in production environments and require “production-class” data protection, yet few data protection solutions offer such capabilities today.
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Cohesity
Published By: Cohesity     Published Date: Aug 09, 2019
IT organizations everywhere are undergoing significant transformation to keep pace with the needs of their businesses. They’re tasked with consolidating data centers and migrating both workloads and data to the cloud. The transition has been easier for some than others. As hybrid architectures increasingly become the norm, how are enterprises gaining complete visibility, simplifying management, and making use of all of their data—both on-premises and in the cloud? Five enterprises explain how they’ve replaced multiple products that created legacy data silos with Cohesity – a single, hyperconverged softwaredefined platform with native Microsoft Azure integration for simplified secondary data and applications. For them, Cohesity and Azure together boost IT agility while lowering costs, solving critical secondary data challenges from long-term retention, storage tiering, test/dev, disaster recovery and cloud-native backup in a proven hybrid cloud architecture.
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Cohesity
Published By: Forcepoint     Published Date: Jul 30, 2019
How to boost results, cut costs and manage risk in an internet-connected world Digital transformation is driving change across the world, creating new opportunities to boost business productivity, while cutting the costs of infrastructure and operations. Increasingly distributed?organizations are re-architecting their networks and security to move their most valuable data?and applications to the cloud, in order to give their users much richer, faster, less expensive?access than ever before. Enabling remote sites and off-network users to securely connect?direct-to-cloud is the new challenge facing enterprises and government agencies.? How can distributed organizations achieve the reliable, secure connectivity to the cloud they?need? Many are now using internet technologies?for connect all of their users to cloud-based applications more productively and cost-effectively than ever before. Join Forcepoint for this informative discussion. In this session we will cover: How to accelerate
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Forcepoint
Published By: AWS     Published Date: Jul 24, 2019
Many business leaders know that Artificial Intelligence (AI) and Machine Learning (ML) are critical to their future but don’t know where to start. Those who do have an AI/ML strategy struggle to find qualified data scientists; and once they find them, even advanced data scientists need a lot of time—even months—to build and deploy ML models. These challenges put significant limits on the range and number of problems a business can solve. In this webinar, learn how H2O Driverless AI on Amazon Web Services (AWS) automates the best practices of leading data scientists to create advanced machine learning models automatically. With these production-ready models, relative newcomers to AI/ML can generate reliable results and scale-up AI programs that anticipate and capitalize on trends, optimize supply chains, understand customer demand, match consumers with goods and services, and much more. Download our webinar to learn Implement ML successfully with minimal data science expertise. Build
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AWS
Published By: Entrust Datacard     Published Date: Jul 23, 2019
In years past, device functionality was enough to sell most embedded products without much concern for cybersecurity. Of course there were exceptions, such as in critical infrastructure, aviation, and military, for which security was always of importance. But today’s environment has evolved on several fronts. First, organizations across nearly all markets are demanding Internet connectivity to monitor and control devices as well as to aggregate and analyze data. Second, the magnitude of security threats has exploded, driven by highly sophisticated hackers including organized criminal gangs seeking financial returns, creating a constantly evolving threat landscape. Third, the increasingly complex nature of connected systems makes them ever more challenging to protect. The more complex a system, the more potential vulnerabilities it may contain. And fourth, the data generated by connected devices represent an asset that is becoming increasingly valuable for organizations to derive insigh
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Entrust Datacard
Published By: TIBCO Software     Published Date: Jul 22, 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 the 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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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
Today, you can improve product quality and gain better control of the entire manufacturing chain with data virtualization, machine learning, and advanced data analytics. With all relevant data aggregated, analyzed, and acted on, sensors, devices, people, and processes become part of a connected Smart Factory ecosystem providing: •? Increased uptime, reduced downtime •? Minimized surplus and defects •? Better yields •? Reduced cost due to better quality •? Fewer deviations and less non-conformance
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TIBCO Software
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