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    IBM pushes automation, NLP in Cognos Analytics eleven.1 update | killexams.com Real Questions and Pass4sure dumps

    IBM has brought a bunch of AI-powered equipment to its BI platform, Cognos Analytics, to enable more advanced analytics,...

    while on the same time making the platform less demanding for consumers to make use of, the business referred to.

    the brand new Cognos Analytics 11.1 platform elements include an AI assistant, pattern detection, visualization recommendations, greater storytelling equipment, and greater superior analytics and predictive analytics capabilities.

    The update, printed in a Sept. 27 IBM weblog post, represents a "massive funding," observed Greg Adams, vice chairman of IBM company Analytics, in an interview. the brand new tools, past adding more superior capabilities, also make the platform less difficult to use for nondata-oriented employees and citizen records scientists -- a class of users that has been growing to be all of a sudden.

    Following a trend

    the new features in Cognos Analytics 11.1 make "the platform a whole lot more straightforward to make use of to generate insights, in particular the herbal language search, which makes it possible for users to have precise conversations with the records," spoke of Wayne Eckerson, founder and predominant advisor at Eckerson group.

    IBM is [in the] middle of the pack, which is a tad awesome, given their Watson heritage. Wayne Eckerson, Eckerson group

    "It automates records instruction and statistics modeling projects, so analysts can focal point extra on insights. It additionally auto-generates insights according to a field of activity chosen by using a consumer, using algorithms to tease out key drivers of a metric, for instance," he persevered.

    nonetheless, Eckerson mentioned, these are facets that "the entire BI providers are racing to include."

    "Some are a little bit ahead of others, but most will come to be in the same place in 18 months. IBM is [in the] middle of the pack, which is a tad dazzling, given their Watson heritage," he referred to.

    prior this yr, BI application supplier Alteryx Inc. released Alteryx 2018.3, which introduced enhanced visualization capabilities and set the stage for future updates that are spoke of to raise the platform's augmented intelligence and sensible capabilities.

    Tableau also made a movement to add extra automation to its systems this 12 months with the acquisition of MIT startup Empirical techniques. The startup worked on a platform to instantly mannequin facts for analysis, and it provides predictive insights into that statistics -- facets that Tableau noted it will work so as to add into its own platforms.

    Cognos Analytics 11.1 Cognos Analytics eleven.1 allows for short comparisons of two visualizations in a new exploration tool. less demanding to use

    in accordance with Adams, at IBM, "we understand to in fact help americans discover insights, to actually be self-carrier skill individuals should be instantly given insights, automatically have things delivered to their attention, and they should have things be actually approachable."

    That approach is reflected in the new AI Assistant. Taking potential of new natural language processing (NLP) capabilities, the assistant in Cognos Analytics eleven.1 allows clients to category in questions and commands, corresponding to a command to be a part of records sets.

    "the key with the conversation expertise, or not it's now not something that they wanted to bolt onto the side," Adams pointed out. "We actually tried to inject it, so it be part of your commonplace movement."

    advanced analytics

    the new AI technologies in Cognos Analytics eleven.1 work well with the newly brought superior analytics equipment, Adams pointed out.

    The platform now has sample detection, which could automatically find and latest relationships in records it is being explored.

    taking a look at a certain visualization, as an instance, the platform will instantly discover connected visualizations that could be used, Adams referred to. When deciding on data, the device will also provide concepts for visualizations.

    With a brand new exploration device in Cognos Analytics 11.1, users can drag and drop two visualizations for a "brief aspect-by-side comparison" a good way to immediately seek relationships, Adams pointed out.

    The update also includes enhanced predictive analytics capabilities; greater data storytelling alternatives, with the means to create interactive narratives with sequenced visualizations and media; and simpler-to-use reporting tools.

    atmosphere apart and looking ahead

    whereas Adams recounted other BI structures have recently incorporated identical elements, he claimed IBM's attention to data governance units Cognos Analytics 11.1 apart.

    "probably the most pleasant issues about Cognos is its commercial enterprise-grade, relied on environment," he pointed out, including that IBM has additionally introduced a device to immediately notice AI bias.

    in addition to the update, IBM has launched a new subscription pricing mannequin for the platform. The mannequin sets the platform into three tiers: lite, premium and business. The Cognos Analytics eleven.1 update is purchasable for the highest tier as of Sept. 28, and it will be available on the other tiers by using the conclusion of the 12 months, in line with IBM.


    IBM launches Cognos eight V4 – new enterprise-pushed PM application | killexams.com Real Questions and Pass4sure dumps

    October 6, 2008 • commercial enterprise IT

    Cognos, an IBM business that can provide enterprise intelligence and performance management options, has unveiled IBM Cognos 8 v4 which extends IBM’s information on Demand approach to support purchasers enrich their means to engage the company user through a greater dynamic and interactive experience, inform their choice making with improved context and relevance and align their approach and operations through finished visibility to goals, plans, forecasts and metrics throughout finance and operations.

    IBM Cognos eight v4 lets establishments without difficulty and securely prolong entry to depended on counsel to fully interact a diverse community of employees, valued clientele and partners throughout financial and operational divisions and approaches.Richer BI and efficiency management user capabilities akin to commercial enterprise planning, dashboards, analytics and reporting combine with an stronger commercial enterprise-classification platform, bendy business modeling, and customer-oriented interfaces to help company clients benefit entry and engage with the right tips vital for decision making to optimise enterprise performance.

    informal enterprise users, enterprise managers, and executives in all sizes of businesses are grappling with guidance overload and the fast pace of trade in these days’s globally connected financial system. These types of company users signify 80% of people in ordinary organisations, based on Wayne Eckerson, director of TDWI analysis at the facts Warehousing Institute.* They need quick entry to important counsel, no matter if they are within the workplace or on the street, to make recommended choices that enhance financial and operational visibility and pressure general performance.

    New self-serve flash-based mostly dashboard, cell and search capabilities in IBM Cognos eight v4 support enterprise users instantly power decisions through bendy, customer-oriented interfaces that let them entry and engage with significant performance counsel the usage of time-honored purposes or gadgets. These consist of BlackBerry, Symbian or windows cellular instruments, enterprise search engines like google or computer productiveness purposes.

    The debut of IBM Cognos eight company standpoint introduces new pass-useful company modelling capabilities to support enterprise users and IT collaborate.enterprise users outline a shared representation of how their enterprise assistance should still be structured and seen to drive choices in a workflow ambiance devoid of disruption to the downstream methods which can be governed by using IT. These capabilities let economic analysts, line and company managers, or information stewards preserve, govern and share hierarchies and business views in accordance with their own organisational preferences while the IT department retains manage over how approved adjustments are posted and used.

    customers can extra align enterprise operations, superior analytics and strategic plans throughout the employer by using IBM Cognos Now! and IBM Cognos TM1 as depended on statistics sources for IBM Cognos 8 BI and Planning. Key metrics from the continuous company monitoring of operational metrics can without problems be delivered to a customized enterprise dashboard along with key elements of company reviews which are pertinent to a particular line of company. Newly updated enterprise planning capabilities mix both planning and evaluation aspects to assist enhance the productivity and accuracy of planners inside the planning method. Planners can additionally construct persistent views of the agency to supply increased context for forecast records entry.

    These greater person capabilities are supported by means of new solutions and updated expert services, education, and assist offerings to extra speed up customer success. nowadays, Cognos has also brought IBM Cognos eight fiscal performance Analytics which is the latest addition to the Cognos’household of Analytic functions. it's designed to deliver corporations with fast, actionable insights into fiscal efficiency using utterly-configurable experiences for familiar ledger, receivables and payables analysis.

    New enhancements to the Cognos eight business-class platform help company users gain positive context from the information they get hold of, and provides the IT department with streamlined development and management capabilities:

    entry to the capabilities of company glossary, part of the IBM InfoSphere portfolio, which offers company clients with entry from each record to an commercial enterprise dictionary for consistent interpretation of described phrases equivalent to “gross margin” or “customer” and stewardship assistance that's used to support govern the information they are .

    aid for annotations lets clients add recommendations, selections and feedback to reports and charts to supply further insight into the tips for reviewers.

    file authors or records modelers can now view enterprise lineage of the place the statistics turned into sourced for studies, or view the whole facts supply chain by means of linking to 3rd party metadata providers or by the use of pre-constructed integration with InfoSphere advice Server for end-to-end data lineage. This helps these clients bear in mind where the facts came from, and gives report authors and information modelers with streamlined document design and troubleshooting.

    a new gadget management methodology offers technical whitepapers, pattern stories, models and tools to aid system administrators invariably improve how deployments are managed by way of accelerating the implementation of confirmed practices.

    more suitable aid of IBM InfoSphere Warehouse via addition of InfoSphere cubing functions as an information source expands the power of the IBM Cognos OLAP portfolio by means of giving consumers a complete. spectrum of OLAP know-how to address their breadth of needs

    New metadata integration with Rational records Architect allows for those consumers who model their information in this method to quite simply integrate that work with out duplication of effort.supporting charges

    “employees and government management within all sizes of enterprises are challenged to enhance company efficiency through the strategic use of counsel, however they don’t have time or supplies to sift via mountains of suggestions to pinpoint what is imperative,” says David McWilliam, MD at Cognos South Africa, an IBM enterprise. “Cognos 8 v4 empowers the enterprise through connecting agile, optimised monetary and operational enterprise techniques and aligning, enticing and informing employees with mission-critical tips that drives effective choice-making for pervasive performance administration throughout the enterprise.”

    AvailabilityThe user capabilities, enterprise platform and associated confirmed practice solutions surrounding IBM Cognos eight v4 could be available in this fall, 2008 direct from Cognos, an IBM enterprise or its community of resellers.

    IBM Cognos eight v4 is a key component of IBM’s counsel Agenda, a brand new approach consisting of trade-particular application and consulting capabilities geared to helping customers use tips on demand as a strategic asset throughout their agencies.

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    IBM integrates business intelligence and data science with new major update to Cognos Analytics | killexams.com real questions and Pass4sure dumps

    More enterprises are on a quest to use artificial intelligence as a competitive advantage. IBM is on a mission to make this easier and more accessible for any organization via the cloud. The company has announced a new version of its Cognos Analytics solution, which integrates business intelligence and data science technologies into a suite of tools available on IBM Cloud.

    The key new features of this release are a new AI Assistant and pattern detection capability. The AI Assistant enables users to make queries and then receive results in natural language. According to IBM, this makes it easier to not only look for answers, but understand where they come in.

    Pattern detection identifies and presents critical relationships within data, pointing out patterns that may not have been considered previously. By detecting patterns, the system can eliminate blind spots or guesswork in analysis, the company explained.

    “When combined with the foundational governance and trust capabilities built into Cognos Analytics, which provide data policy, relevancy, integrity and security, AI Assistant and pattern detection will give users not only fast access to insights, but added confidence in the results,” Greg Adams, vice president of development for business analytics at IBM, wrote in a post.

    This version also adds storytelling, which allows users to create interactive narratives by assembling visualizations into a sequence and then enhancing it with media, web pages, images, shapes, and test.

    Smart exploration will help users be able to better understand what’s behind their results by analyzing it with machine learning and pattern detection. The system will also recommend the most useful visualization of results through a multi-stage recommendation system.

    The system assembles new content quickly by re-using relevant components from existing dashboards.

    Finally, it has advanced analytics that include predictive analytics, the ability to identify data patterns and variables driving a certain outcome, smart annotation, and natural language generated insights of data.

    “Analytics, data science and business intelligence, have become table stakes in the business world,” wrote Adams. “They’re part of the fundamental building blocks, or rungs in the Ladder to AI, as they talk about. And we’ve worked hard to make these sophisticated, complicated technologies easy to access, easy to use, and easy to comprehend for just about any – all via the IBM Cloud. They think organizations the world over will see real value in it and begin making even better, more strategic decisions to propel their businesses into the future.”


    IBM Watson Now Available Anywhere | killexams.com real questions and Pass4sure dumps

    SAN FRANCISCO, Feb. 12, 2019 /PRNewswire/ -- IBM Think -- IBM (NYSE: IBM) today announced a new chapter in the journey from AI experimentation to wide-scale deployment and industry transformation. IBM has made Watson portable across any cloud and empowered businesses to prevent vendor lock-in and start deploying AI wherever their data resides.

    "Businesses have largely been limited to experimenting with AI in siloes due to the limitations caused by cloud provider lock-in of their data," said Rob Thomas, General Manager, IBM Data and AI. "With most large organizations storing data across hybrid cloud environments, they need the freedom and choice to apply AI to their data wherever it is stored. By breaking open that siloed infrastructure they can help businesses accelerate their transformation through AI."

    Watson, IBM's AI, is designed to help organizations put AI to work to improve the performance of business. With a clear set of applications, development tools, machine learning models, and management services, Watson is helping organizations around the world mine their data, predict outcomes, and automate time- and resource-sensitive processes.

    Today's announcements advance this mission by providing businesses with a simpler, faster way to build, deploy and run AI models and applications across any cloud. With these tools in place, organizations can:

  • Run IBM Watson services, including Watson Assistant and Watson OpenScale, on any cloud. Through their integration with IBM Cloud Private for Data (ICP for Data), Watson and Watson OpenScale can now be run any environment – on premises, or on any private, public or hybrid-multicloud – enabling businesses to apply AI to data wherever it is hosted. Businesses will be able to infuse AI into their apps, regardless of where they reside. The flexibility this affords can remove one of the major obstacles to scaling AI, since businesses can now leave data in secure or preferred environments and take Watson to that data.
  • Deploy AI software that automates business processes for improved efficiencies and performance. New AI digital automation software is designed to enable clients to discover patterns in their business processes and then create AI-embedded programs to automate certain workflows.
  • Though the use of AI continues to gain attention in business, many organizations are still challenged to move projects forward. According to an MIT Sloan report, 81 percent1 of enterprises do not understand what data is required for AI, or how to access it. And a recent Gartner study2 found that, "data and analytics leaders continue to struggle with the complexity, time to integration and cost implications of their data integration projects, thereby inflating their schedules and delivery costs with multiple cycles of revised project scope."

    Still, the vast majority of enterprises, 83 percent, according to the MIT Sloan report, agree that driving AI across the enterprise is a strategic opportunity.

    Qatar Development Bank has collaborated with IBM to establish the IBM Innovation Hub Doha. One of the key technologies that the Hub will deploy is IBM Cloud Private for Data. "The exciting thing about IBM Cloud Private for Data is how quickly they will be able to drive new innovations in FinTech and SportsTech using the microservices within the platform," said Abdulaziz Al Khalifa, CEO, Qatar Development Bank. "What makes it especially attractive is that it enables us to develop and deploy new models quickly that brings the tools to the data, rather than the other way around."

    ICP for Data is IBM's open, cloud-native information architecture for AI that comes integrated with advanced data science, data engineering and application-building capabilities, and is designed to help companies uncover previously unobtainable insights from their data. Openness is at the core of ICP for Data, for which Watson Studio is a key part. For example, based on internal study, 85% of Watson users are using open source languages and frameworks like Python, R, and TensorFlow, within the Watson family.3

    In its recent report, The Forrester Wave™ : Enterprise Insight Platforms, Q1 2019, Forrester Research named ICP for Data a "Leader." The report analyzes and reviews Enterprise Insight Platforms that combine data management, analytics, and insight application development tooling. In the study, Forrester noted: "IBM has pre-integrated capabilities that allow clients to be productive in a week or less. They were also impressed with its ML-assisted data cataloging and governance tools. IBM's platform uses Kubernetes to deploy on-premises or into the public cloud."

    Watson Comes to ICP for DataAt the heart of today's announcements is a series of new Watson microservices built for ICP for Data that are based on open source technologies and easily scalable across cloud environments. Based on the open-source Kubernetes technology, these new Watson microservices can be run on IBM Cloud, and other public, hybrid or multi-cloud environments.

    The microservices are based on the following software solutions:

  • Watson OpenScale: IBM's open AI platform for managing multiple instances of AI, no matter where they were developed – including the ability to explain how AI decisions are being made in real time, for greater transparency and compliance.
  • Watson Assistant: IBM's AI tool for building conversational interfaces into applications and devices. More advanced than a traditional chatbot, Watson Assistant intelligently determines when to search for a result, when to ask the user for clarification, and when to offload the user to a human for personal assistance. In addition, the Watson Assistant Discovery Extension enables organizations to unlock hidden insights in unstructured data and documents.
  • The new Watson services join Watson Studio and Watson Machine Learning, among other services, which are currently available on ICP for Data. Later this year, IBM will bring additional Watson services to ICP for Data, including Watson Knowledge Studio and Watson Natural Language Understanding.

    In addition to this news, IBM today also announced that IBM Watson Machine Learning is being extended with a new Accelerator (Watson Machine Learning Accelerator) that enables high performance GPU clustering on Power Systems and X86 systems. Combined with IBM POWER9's industry-leading GPU memory bandwidth, the solution can offer up to 10x faster4 machine learning training than competitive solutions. You can read more about the benchmark here.

    IBM Business Automation Intelligence with WatsonIn addition to the release of these solutions, IBM announced a forthcoming software capability, called IBM Business Automation Intelligence with Watson. With this new software, business leaders will be able to apply AI directly to applications, helping to strengthen their workforce, from clerical to knowledge workers, to intelligently automate work from the mundane to the complex. In addition, the software will measure the level of impact and effectiveness of AI on business outcomes.

    IBM Business Automation Intelligence with Watson is anticipated to be available later this year. In the meantime, for more information, visit their early access program IBM.biz/GoAutomate.

    About IBM & Artificial Intelligence A world leader in AI for business, IBM has deployed Watson solutions in thousands of engagements with clients across 20 industries and 80 countries. IBM's Watson solutions are widely used in industries, including by 7 of the 10 largest automotive companies and 8 of the 10 largest oil and gas companies. Additionally, IBM Research is a world leader in the science of AI. In 2018, IBM secured 1,600 AI-related patents. And, IBM recently revealed its leading-edge Project Debater, created by IBM Research scientists.

    Think 2019At Think 2019, IBM will outline new offerings, client engagements, partnerships, technology breakthroughs and developer tools that underscore how IBM and partners are changing the way the world works.  For more information, visit the IBM Think 2019 Newsroom: https://newsroom.ibm.com/think. Follow the conference on Twitter at #think2019 and @ibmlive, and go to https://www.ibm.com/events/think/ for the full schedule and live streaming agenda.

    Forward-Looking and Cautionary StatementsExcept for the historical information and discussions contained herein, statements contained in this release may constitute forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements are based on the company's current assumptions regarding future business and financial performance. These statements involve a number of risks, uncertainties and other factors that could cause actual results to differ materially, including the following: a downturn in economic environment and client spending budgets; the company's failure to meet growth and productivity objectives; a failure of the company's innovation initiatives; damage to the company's reputation; risks from investing in growth opportunities; failure of the company's intellectual property portfolio to prevent competitive offerings and the failure of the company to obtain necessary licenses; cybersecurity and data privacy considerations; fluctuations in financial results, impact of local legal, economic, political and health conditions; adverse effects from environmental matters, tax matters and the company's pension plans; ineffective internal controls; the company's use of accounting estimates; the company's ability to attract and retain key employees and its reliance on critical skills; impacts of relationships with critical suppliers; product quality issues; impacts of business with government clients; currency fluctuations and customer financing risks; impact of changes in market liquidity conditions and customer credit risk on receivables; reliance on third party distribution channels and ecosystems; the company's ability to successfully manage acquisitions, alliances and dispositions; risks from legal proceedings; risk factors related to IBM securities; and other risks, uncertainties and factors discussed in the company's Form 10-Qs, Form 10-K and in the company's other filings with the U.S. Securities and Exchange Commission (SEC) or in materials incorporated therein by reference. Any forward-looking statement in this release speaks only as of the date on which it is made. The company assumes no obligation to update or revise any forward-looking statements.

    ContactMichael Zimmerman IBM Media Relations (585) 698-9974mrzimmerman@us.ibm.com 

    1 MIT Sloan Management Review, Reshaping Business with Artificial Intelligence2 Gartner: "Predicts 2019: Data Management Solutions," Dec. 6, 2018.3 IBM internal study, Feb. 6, 2019.4 IBM Systems Blog: New Watson Machine Learning Accelerator for Power Systems

    SOURCE IBM

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    http://www.ibm.com


    Ten New Features for Report Users in IBM Cognos 10 Report Studio | killexams.com real questions and Pass4sure dumps

    Instead of just focusing on the major features of IBM Cognos 10 Report Studio, Roger Johnson, coauthor of IBM Cognos 10 Report Studio: Practical Examples, looks at some lesser-known tools and object properties to further enhance your Report Studio projects. From the author of 

    The biggest additions to IBM Cognos Report Studio in version 10 have been Active Reports and Statistics objects. These two new ways of presenting data provide many new options for report authors to create reports that match the analytical needs of the user community. Entire classes have been created to focus on the creation of reports using these formats.

    Other capabilities in IBM Cognos 10 Report Studio include the integration of external data sources and the ability to save Report Studio reports to be used directly by Business Insight Advanced authors. Using external data sources in Report Studio has been a customer request since IBM Cognos tools moved to a web-based architecture. This enhancement gives the report consumer new opportunities to process just the information needed for a specific situation. By using a common report definition between applications, users who aren't accustomed to complex reports can receive assistance to build reports that have features beyond those normally available to Business Insight Advanced users.

    While the features I've discussed to this point are promoted as key features, other useful options in version 10 will increase the effectiveness of reports to your users. Some of these features were previously available through complex programming by the report developer, but IBM Cognos Business Intelligence now makes this job much easier. As a report writer and instructor who can appreciate the ability to create report designs designed to tell a story, I want to highlight 10 of these new features.

    Alternative Text

    The Alternative Text property has been added to graphical objects, such as images and charts, to allow screen readers to translate the text (see Figure 1). Another aspect of this feature that's applied in various properties is to provide localized text without using conditional formatting.

    Colored Regions, Plot Area Fill, Material Effects

    The Colored Regions, Plot Area Fill, and Material Effects properties allow charts to have more creative designs in order to enhance the overall presentation of the charts. Mixed with other chart presentation options, these features help report developers to give new polish to the presentation of content. Figure 2 shows the additional gradient options that are now available, along with the new properties for the charts.

    New Gradient Fill Types

    Moving beyond simple linear gradients, some new fill types provide more choices for enhanced presentations. Backgrounds behind pages, objects, and selected areas can now display a number of gradient designs. The fill types include rectangular frames and embedded circular gradients, with many parameters to customize the blending of colors (see Figure 3).

    Chart Combinations (Primary Axis, Secondary Axis, Primary Bottom, Secondary Bottom)

    IBM Cognos 8 Business Insight had the ability to set Y1 and Y2 axes. Now combination charts can be stacked with two more axes for better analysis of related numbers. These options can be integrated into dashboard design to enhance the presentation of related measures. Figure 4 shows a chart with the additional axes selected.

    Query Calculations in Query Explorer Replace Calculated Member, Calculated Measure, Set Expression, and Intersection (tuple)

    In IBM Cognos 8 Report Studio, different objects were created for each of the dimensional functions. Now they're all bundled into the Query Calculations (see Figure 5). This option simplifies the toolbox for report authors, while emphasizing that dimensional queries can have enhanced calculations.

    Summarize Small Slices and Exploded Slices

    With pie charts, two improvements include summarizing small slices and exploding slices. These two options greatly improve the presentation of pie charts to emphasize the most important information (see Figure 6). In my classes, these options have been requested for years, and now they're delivered in this release.

    Trendlines, Category Baselines, and Numeric Baselines

    Report Studio functions have now improved on the predictive ability behind charts, without having to use external functions to calculate the numbers (see Figure 7).

    Series Color Synchronization

    With the changes made to enhance series, this feature allows report writers to simplify the legends when the series information is repeated across the combinations. By changing the Series Color property to Match (see the short arrow in Figure 8), the legend shows the different product lines and the nested measures differently (indicated by the longer arrow), increasing the effectiveness of the presentation.

    Custom Properties for Prompts

    Several new properties have been added to enhance the prompt options. These changes allow report developers to create customized prompt options without the additional JavaScript programming required in earlier versions. Most of the prebuilt text labels with these prompts can be customized to meet the needs of individual reports (see Figure 9).

    Dimensional Set Definitions

    As a welcome addition to dimensional functions, the Set Definition option (see Figure 10) allows report authors to create complex subsets that are presented graphically. This feature can make troubleshooting complex sets much easier by providing a more modular approach to set development. This was the best new property for me, since it simplifies the development of sets that had to be full of nested functions.



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