experiment

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Published By: Allscripts     Published Date: Jun 05, 2013
This paper explores the unique perspectives of both types of organizations. The participants include two of the original 32 Pioneer ACOs; the nation’s largest commercial ACO; a major IDN that is pursuing its own ACO pathway; a large stand-alone hospital that has yet to take the formal step of creating an ACO but is experimenting with the model; and a large, independent, multispecialty physician group that is wary of stepping into the ACO waters.
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aco, idn, accountable care organization, medicare, reimbursement
    
Allscripts
Published By: Puppet     Published Date: Jun 24, 2016
The fifth annual State of DevOps Report, presented by Puppet and DevOps Research & Assessment (DORA), confirms and highlights the fact that achieving higher IT and organizational performance is a team effort spanning development and operations — and it’s an investment that can deliver powerful returns. This year’s report shows how DevOps speeds up delivery, improves quality and security, enhances employee engagement and more. Download the report to learn why: • High-performing IT organization experience 200x more frequent deployments and 24x recovery from failures. • High performers spend 22 percent less time on unplanned work and 29 percent more time on new work, such as features or code. • Taking an experimental approach to product development improves IT performance. The report also helps you understand the ROI of DevOps, and includes formulas to quantify your potential cost savings, using metrics from you own organization.
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Puppet
Published By: Zingbox     Published Date: Oct 31, 2017
The arrival of the Internet of Things (IoT) moves on with ever-intensifying pace as enterprises experiment with business projects that incorporate IoT endpoints and technologies. This engagement is necessitating a profound commitment by security and risk management leaders to more capable forms of protection. Several vendors are offering distinct approaches to enterprise mobility management, software composition analysis and asset discovery. This Gartner review of the notable vendors serving IoT engagements looks closely at how these companies developed representative cool technologies and solutions to support the expansion of IoT interconnectivity.
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Zingbox
Published By: Amazon Web Services EMEA     Published Date: Apr 16, 2019
Whether you are part of a community hospital or global pharmaceutical company, Amazon Web Services (AWS) can help you add agility, improve collaboration and security, create an environment of experimentation, and drive new technological innovation.
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cloud computing, public sector, aws, healthcare, amazon web services
    
Amazon Web Services EMEA
Published By: SAS     Published Date: Apr 10, 2019
Durante bastante tiempo, la Inteligencia Artificial ha tenido un atractivo para mejorar los procesos, aumentar la productividad y generar impactos de primera y última generación en las organizaciones. Los avances en datos y analítica han permitido a los primeros en adoptar la IA a nivel mundial en todas las industrias a crecer más allá de los experimentos y los éxitos rápidos, así como a proporcionar ejemplos de éxito con esta tecnología.
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SAS
Published By: SAS     Published Date: Apr 10, 2019
El cómputo en la nube es una tendencia importante que ofrece ventajas en flexibilidad, escalabilidad y agilidad. Aun así, ha habido un gran despliegue publicitario. La realidad es que, hasta hace poco, la nube ha tardado en despegar para desplegar soluciones de inteligencia empresarial y analítica. Las organizaciones están preocupadas por la seguridad, el rendimiento, la funcionalidad y otros problemas críticos. TDWI Research está experimentando un cambio significativo a medida que las organizaciones muestran voluntad de experimentar con la nube. Este informe expone las experiencias de las organizaciones con la inteligencia de negocios, la analítica y la nube, así como lo que debe tomarse en cuenta respecto a este tipo de plataformas.
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SAS
Published By: Forrester     Published Date: May 10, 2012
More people own smartphones than ever before and they're using them more often too. This makes a mobile marketing strategy crucial for any interactive marketer. Yet today we find that although mobile budgets are beginning to increase, the majority of interactive marketers are just starting to experiment, and many still treat mobile phones as mini-PCs. This report explains how marketers at each phase of mobile marketing evolution should craft successful mobile campaigns by hewing to three key principles: immediacy, simplicity, and context.
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emerging methods, brand tactics, mobile channel for consumers, ecommerce, consumer mobile activities, mobile marketing, media mix, emerging media, consumer mobile devices, mobile advertising
    
Forrester
Published By: SAP     Published Date: Jul 18, 2016
Companies are finding more success with advanced analytics initiatives, allowing for continued innovation and experimentation. Read the report learn key findings from the survey carried out by The Economist Intelligence Unit, with Sponsorship by SAP.
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SAP
Published By: IBM     Published Date: Jan 18, 2017
In the domain of data science, solving problems and answering questions through data analysis is standard practice. Data scientists experiment continuously by constructing models to predict outcomes or discover underlying patterns, with the goal of gaining new insights. But data scientists can only go so far without support.
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ibm, analytics, aps data, open data science, data science, data engineers
    
IBM
Published By: Group M_IBM Q2'19     Published Date: May 31, 2019
In the Garage, you work side by side with IBM experts to create first-of-a-kind MVPs, experiment with emerging technologies and quickly learn from failures. In this webinar hear from Ed Forman, Partner of Cognitive Process Transformation at IBM. Ed has partnered with organizations across industries including automotive, life sciences, financial services and telecommunications. In his work with the IBM Garage he has helped shape an award-winning method for innovation that has transformed business models for Fortune 500 clients. Listen to this 30-minute presentation to find out more.
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Group M_IBM Q2'19
Published By: Domino Data Lab     Published Date: Feb 08, 2019
As data science becomes a critical capability for companies, IT leaders are finding themselves responsible for enabling data science teams with infrastructure and tooling. But data science is much more like an experimental research organization than the engineering and business teams that IT organizations support today. Compounding the challenge, data science teams are growing fast, often by 100% a year. This guide will quickly help you understand what data science teams do to build their predictive models and how to best support them. Learn how to modernize IT’s approach to ensure your company’s data science teams perform their best, and maximize impact to the business. Some highlights include: Why data science should not be treated like engineering. How to go beyond simple infrastructure allocation and give data science teams capabilities to manage their workflows and model lifecycle. Why agility and special hardware to support burst computing are so important to data science break
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Domino Data Lab
Published By: Domino Data Lab     Published Date: May 23, 2019
As data science becomes a critical capability for companies, IT leaders are finding themselves responsible for enabling data science teams with infrastructure and tooling. But data science is much more like an experimental research organization than the engineering and business teams that IT organizations support today. Compounding the challenge, data science teams are growing fast, often by 100% a year. This guide will quickly help you understand what data science teams do to build their predictive models and how to best support them. Learn how to modernize IT’s approach to ensure your company’s data science teams perform their best, and maximize impact to the business. Some highlights include: Why data science should not be treated like engineering. How to go beyond simple infrastructure allocation and give data science teams capabilities to manage their workflows and model lifecycle. Why agility and special hardware to support burst computing are so important to data science break
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Domino Data Lab
Published By: SAS     Published Date: Nov 10, 2014
Learn about the four benefits of interactively creating, running, and evaluating high-performance analytic models and see how this will allow your organization to get a fast, interactive interface without all the tedious experimentation.
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sas, visual statistics, analytics, interactive interface, statisticians, business analysis, business management, interactive modeling, descriptive modeling
    
SAS
Published By: SAS     Published Date: May 24, 2018
This paper provides an introduction to deep learning, its applications and how SAS supports the creation of deep learning models. It is geared toward a data scientist and includes a step-by-step overview of how to build a deep learning model using deep learning methods developed by SAS. You’ll then be ready to experiment with these methods in SAS Visual Data Mining and Machine Learning. See page 12 for more information on how to access a free software trial. Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. Deep learning is used strategically in many industries.
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SAS
Published By: NetApp     Published Date: Sep 19, 2017
Use this Gartner report to help identify opportunities to optimize IT operations and accelerate your DevOps transformation. Avoid risk and drive value to your business by: implementing best practices, selecting the right tools and technologies, experimenting with agile practices, and aligning roles for success.
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netapp, database performance, flash storage, data management, cost challenges, gartner, operations, business value
    
NetApp
Published By: Progress     Published Date: Jan 22, 2019
While A/B testing has been around for years, many marketers haven’t tapped into the full potential of experimentation. Controlled experimentation removes assumptions and guesswork by truly measuring the impact of explicit changes. This empowers brands to conduct true data-driven marketing that is tailored specifically to their target audience.
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Progress
Published By: Fujitsu America, Inc.     Published Date: Jan 22, 2019
Teachers have always experimented with new technology and how it can be integrated to augment the lessons and content given to students. Classroom sets of books afforded teachers the opportunity to give homework, movie projectors and televisions offered an opportunity to display new content, and calculators transformed computational mathematics. Augmented and virtual reality are new tools that can transition pedagogy to include new materials and content. Students can travel to historical landmarks, world heritage sites, and past events from the safety of their classroom. Books can be scanned to reveal videos and three-dimensional content identified by the teacher to enhance the content available to the student. Download this whitepaper to learn more. Intel, the Intel logo, Intel Core, Intel vPro, Core Inside and vPro Inside are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
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Fujitsu America, Inc.
Published By: Aria Systems     Published Date: Nov 13, 2015
In this era of cloud computing, mobile devices, and the Internet of Things (IoT), firms are testing new product offerings that combine elements of content, software, services, and hardware together. Like the innovative products themselves, the rulebook on monetizing them is evolving. Firms are shifting from one-time perpetual sales or fixed monthly subscriptions to consumption models that blend onetime, subscription, and usage-based billing (see Figure 1). CEOs recognize this shift toward business models that reflect the value of the relationship with the customer. The move to subscription and consumption business models is pervasive in almost every industry. From retailers selling subscription box sets to industrial equipment manufacturers charging based on consumption, the increase in experimentation of alternative business models is extraordinary (see Figure 2). While B2C disrupters like Netflix and Zipcar have gotten more media attention, the growth of subscription billing plat
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Aria Systems
Published By: Spredfast, Inc.     Published Date: Jun 30, 2014
The new world order of media and advertising demands that brands experiment and search for new ways to drive consumer engagement. As marketing and media strategy becomes ever more important, brands must look for ways to optimize paid, owned and earned media. Paid media is everything that you spend advertising dollars on such as TV, radio, print, digital advertising, and sponsorships. Owned media includes your website and other “owned” assets, and earned media is defined by the social amplification and interaction you “earn” through active participation with your customers. How do you create the perfect “owned media” experience for your customers, and what is the right formula for paid media to maximize your earned media opportunity? Download now to find out!
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spredfast, media, advertising, social media, social campaign, consumer engagement, media strategy, owned media, earned media
    
Spredfast, Inc.
Published By: CradlePoint     Published Date: Sep 04, 2014
Once considered experimental merchandising for adventurous retailers and cash-strapped entrepreneurs, pop-up stores have become an established national phenomenon and a legitimate means of testing product, generating buzz, building brand awareness, and driving sales for big-name retailers and ambitious upstarts alike. Growth in mobile broadband technology is expanding the possibilities for a diverse array of applications in mobile pop-up. Furthermore, the “fly-by-night” qualities that might have characterized early pop-ups have now been supplanted by dependable, secure infrastructure solutions that put temporary retail locations on par with their more permanent counterparts. Download the whitepaper to learn more!
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pop-up stores, secure infrastructure solutions, mobile pop-up, cradlepoint
    
CradlePoint
Published By: Infosys     Published Date: May 21, 2018
Experimenting faster is a trait shared by most innovative organizations. They want to experiment with new products and promotions to see if they can unearth bold new ways of serving the customer. But this experimentation cannot be random: it needs to be guided by data and based on current customer insight. It was access to this data that was the problem for our client, a large consumer brand. It took a long time to prepare the data to a point where it could be used by business managers. So long, in fact, that the data was no longer relevant; and the moment as often lost. The company needed to be able to experiment faster but was held back by a cumbersome and ineffective analytics infrastructure.
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experiment, organizations, customer, insights, analytics
    
Infosys
Published By: AWS - ROI DNA     Published Date: Jun 12, 2018
Traditional databases and data warehouses are evolving to capture new data types and spread their capabilities in a hybrid cloud architecture, allowing business users to get the same results regardless of where the data resides. The details of the underlying infrastructure become invisible. Self-managing data lakes automate the provisioning, reliability, performance and cost, enabling data access and experimentation.
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AWS - ROI DNA
Published By: BrightCove     Published Date: Dec 12, 2008
With the explosive growth of online video, many marketers are experimenting with a variety of distribution strategies. Discover how you can quickly, easily develop the right distribution strategy for your online video content. The right distribution strategy can increase traffic to your website, build a more widely known and influential brand, and tap into previously unreachable customer bases.
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brightcove, online video, online video distribution, search engine optimization, viral, syndication, revenue sharing
    
BrightCove
Published By: Microsoft Azure     Published Date: Apr 11, 2018
The 2017 study, The Total Economic Impact™ of Microsoft Azure IaaS, gives insight into both the costs and benefits of large-scale Azure infrastructure as a service (IaaS) implementation. This commissioned study conducted by Forrester Consulting analyzes the return on investment and business impact that several enterprises experienced when moving from a primarily on-premises environment to Azure. The companies interviewed come from a variety of industries and locations (global/multinational, North American, and European). In addition to a 435 percent overall return on an Azure IaaS investment*, the businesses also experienced: Reduced data center and outsourcing costs. Website scale and performance improvements. Ease of experimentation through virtualized environments. Developer and tester improvements. Download the study to learn about the potential ROI that could be realized by shifting some or all of your management and operations to Azure.
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Microsoft Azure
Published By: Optimizely     Published Date: Dec 01, 2015
In Optimizely’s independent survey of digital channel owners with Dimensional Research, we observed an emerging set of behaviors that indicate sophisticated optimization being done by teams actively running A/B and multivariate experiments. These teams are doubling down on the people and processes needed to accelerate the development of their optimization programs. The result? Faster business benefits and in greater orders of magnitude.
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a/b testing, customer experience, sophisticated optimization, optimization programs
    
Optimizely
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