data analytics

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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: Oracle EMEA     Published Date: Apr 15, 2019
Forward-thinking enterprises understand what it takes to be successful in this data-rich, increasingly automated economy. According to the Harvard Business Review Analytic Services research report The Rise of Intelligent Automation: TurningComplexity into Profit, sponsored by Oracle, at least 7 in 10 executives understand that predictive analytics (80%) and AI and machine learning (68%) are important for the future of the business. Even as executives recognize the vital role data plays in their businesses, many are unable to take advantage of the value residing in their data. The old ways of collecting, managing, storing, and analyzing data are no longer effective, and are preventing businesses from extracting potential value. Many simply can’t execute on a data-driven vision.
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     Oracle EMEA
By: Oracle EMEA     Published Date: Apr 15, 2019
Oracle Autonomous Data Warehouse Cloud is more than just a new way to store and analyze data; it’s a whole new approach to getting more value from your data. Market leaders in every industry depend on analytics to reach new customers, streamline business processes, and gain a competitive edge. Data warehouses remain at the heart of these business intelligence (BI) initiatives, but traditional data-warehouse projects are complex undertakings that take months or even years to deliver results. Relying on a cloud provider accelerates the process of provisioning data-warehouse infrastructure, but in most cases database administrators (DBAs) still have to install and manage the database platform, then work with the line-of-business leaders to build the data model and analytics. Once the warehouse is deployed—either on premises or in the cloud—they face an endless cycle of tuning, securing, scaling, and maintaining these analytic assets. Oracle has a better way. Download this whitepaper to f
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     Oracle EMEA
By: MicroStrategy     Published Date: Apr 11, 2019
By 2025, the total amount of data produced will grow to 175 zettabytes, according to IDC’s Data Age 2025 Report. How will enterprises evolve over the next year to manage and make the most of this unprecedented growth? Download 10 Enterprise Analytics Trends to Watch in 2019 to learn how leading organizations will win with embedded and augmented analytics, HyperIntelligence, collaboration, enterprise AI strategies, and more. This eBook details the transformational technologies data-driven organizations will need to leverage to get and stay ahead in 2019 and beyond, with contributions from thought leaders, including: Mike Gualtieri of Forrester Research Ray Wang and Doug Henschen of Constellation Research Mark Smith and David Menninger of Ventana Research Chandana Gopal of IDC Ronald van Loon, and more. Is your organization ready for the data-driven future? Read 10 Enterprise Analytics Trends to Watch in 2019 today to find out.
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     MicroStrategy
By: MicroStrategy     Published Date: Apr 11, 2019
A&BI platforms are evolving beyond data visualization and dashboards to encompass augmented and advanced analytics. Data and analytics leaders should enable a broader set of users with new expanded capabilities to increase the business impact of their investments.
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     MicroStrategy
By: Workday APAC     Published Date: Apr 11, 2019
Whether informing talent strategy or building more effective teams, data-driven insights about your workforce can set you up for success. This eBook from Human Capital Institute explores how people analytics can empower your entire organization. Read now.
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     Workday APAC
By: Intel     Published Date: Apr 11, 2019
The Internet of Things (IoT) unleashes valuable business insights through data that’s gathered at every level of a retail organization. With IoT and data analytics, retailers now have the capability to gather insight into customer behavior, offer more personalized experiences, achieve better inventory accuracy, create greater supply chain efficiencies, and so much more. But with data comes great risk. A recent report by security firm Thales and 451 Research found that 43 percent of retailers have experienced a data breach in the past year, with a third reporting more than one breach.1 Intel® technology-based gateways and Asavie, a provider of next-gen enterprise mobility management and IoT connectivity solutions, offer a security connectivity solution that minimizes the effort and cost to businesses to ensure safety from cybersecurity attacks. In addition, the Intel/Asavie IoT solution provides retailers with a solid basis to build their smart, connected projects:
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     Intel
By: Intel     Published Date: Apr 11, 2019
Restaurants, like many industries, are data-rich environments that often do not have the tools or technologies to gather and mine the value from this data. Fast food chain automation is changing how restaurants calculate and manage costs on a daily basis. ARDIC's IoT-Ignite* analytics solution combines with Intel® technologies to gather, filter, and analyze key variables to automate operations in fast-moving environments. For restaurants, benefits include reduced waste, insight into customer behaviour, and operational efficiency—with positive impact on the bottom line.
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     Intel
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
By: Pure Storage     Published Date: Apr 10, 2019
Pure Storage, a pioneer in block-based flash arrays, has developed a technology called FlashBlade, designed specifically for file and object storage environments. With FlashBlade, IT teams now have a simple-to-manage shared storage solution that delivers the performance and capacity needed to bring Spark deployments on premise. To help gain a deeper understanding of the storage challenges related to Spark and how FlashBlade addresses them, Brian Gold of Pure Storage sat down with veteran technology journalist Al Perlman of TechTarget for a far-reaching discussion on Spark trends and opportunities.
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     Pure Storage
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
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
By: Intel     Published Date: Apr 09, 2019
Video data is a key part of surveillance as well as many other types of IoT implementations. But video data can be complex and costly to gather, transmit, and analyze. AllGoVision* provides an innovative analytics solution, purpose-built for video data. Powered by Intel® architecture, the solution has been deployed in more than 100 installations in 35 countries. It rapidly analyzes video from surveillance cameras for designated parameters, including specified factors, behavior patterns, motion tracking of people and objects, and environmental monitoring.
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     Intel
By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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     Group M_IBM Q2'19
By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
The growing need for data governance, risk and compliance, data analysis and data value still drives strategic requirements in metadata management and the growth of its solutions. Data and analytics leaders can use this vendor evaluation to find the most appropriate solution for their organization.
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     Group M_IBM Q2'19
By: Anaplan     Published Date: Apr 02, 2019
49% surveyed cite insufficient revenue growth as the top pressure motivating sales performance management initiatives. And on top of that, 58 percent of sales reps are struggling to meet their current sales quotas. In this winner-takes-all market, sales leadership is faced with an uphill battle in driving sales performance. The pressure on sales to meet and exceed ever-increasing revenue targets is higher than ever before. Download this exclusive report to learn new insights on how sales performance data and analytics are driving peak sales performance.
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     Anaplan
By: Group M_IBM Q2'19     Published Date: Apr 02, 2019
There can be no doubt that the architecture for analytics has evolved over its 25-30 year history. Many recent innovations have had significant impacts on this architecture since the simple concept of a single repository of data called a data warehouse. First, the data warehouse appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had a substantial effect on the analytical architecture.
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     Group M_IBM Q2'19
By: Cloudreach     Published Date: Apr 02, 2019
Why data analytics initiatives are worth the investment
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     Cloudreach
By: Cloudreach     Published Date: Apr 02, 2019
How we'll work together
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     Cloudreach
By: Cisco     Published Date: Mar 22, 2019
Artificial intelligence (AI) and machine learning (ML) are emerging technologies that will transform organizations faster than ever before. In the digital transformation era, success will be based on using analytics to discover the insights locked in the massive volume of data being generated today. Historically, these insights were discovered through manually intensive data analytics—but the amount of data continues to grow, as does the complexity of data. AI and ML are the latest tools for data scientists, enabling them to refine the data into value faster.
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     Cisco
By: SAS     Published Date: Mar 20, 2019
What’s on the chief data and analytics officer’s agenda? Defining and driving the data and analytics strategy for the entire organization. Ensuring information reliability. Empowering data-driven decisions across all lines of business. Wringing every last bit of value out of the data. And that’s just Monday. The challenges are many, but so are the opportunities. This e-book is full of resources to help you launch successful data analytics projects, improve data prep and go beyond conventional data governance. Read on to help your organization become truly data-driven with best practices from TDWI, see what an open approach to analytics did for Cox Automotive and Cleveland Clinic, and find out how the latest advances in AI are revolutionizing operations at Volvo Trucks and Mack Trucks.
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     SAS
By: SAS     Published Date: Mar 20, 2019
Seeing value from analytics and emerging technologies such as AI begins with trust in the data. That trust relies on how data is collected, shared, protected and used. The annual Data and Analytics Global Executive Study with MIT Sloan Management Review looks at how 2,400 global business leaders make decisions based on analytics insights – and what steps are needed to get trustworthy data.
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     SAS
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
By: Group M_IBM Q119     Published Date: Mar 11, 2019
In this paper, we focus on the DWA and how it has evolved over the years since its introduction. The XDW architecture is then described, in which the need to maintain the data warehouse is documented while adding new components and capabilities to extend the analytical capabilities. This section also discusses the appropriate usage of appliances within the XDW. The rest of the paper covers the benefits from implementing the DWA, the selection considerations for them and what the future holds for them.
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     Group M_IBM Q119
By: Hitachi Vantara     Published Date: Mar 08, 2019
Consider the key trends driving the modernization of the data infrastructure: focus on governance, mobilization and analytics. And take a look at the technologies that make up modern data infrastructure, including artificial intelligence (AI), flash storage, converged and hyperconverged platforms, and software-defined infrastructures. Read this e-book to observe the key trends driving the modernization of data infrastructure and see how organizations are adapting and flourishing in a data-driven world.
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     Hitachi Vantara
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