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BAS-012 IBM SPSS Modeler Data Analysis for Business Partners v2

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BAS-012 exam Dumps Source : IBM SPSS Modeler Data Analysis for Business Partners v2

Test Code : BAS-012
Test Name : IBM SPSS Modeler Data Analysis for Business Partners v2
Vendor Name : IBM
: 25 Real Questions

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IBM IBM SPSS Modeler Data

IBM Watson Studio: Product Overview and insight | killexams.com Real Questions and Pass4sure dumps

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final analysis

Watson is an umbrella for all IBM deep discovering and synthetic intelligence, in addition to machine learning. The company changed into a pioneer in introducing AI applied sciences to the business world. What this capability for buyers: Watson Studio is a right contender for any corporation looking to installation computing device gaining knowledge of and deep studying technologies.

The platform provides extensive tools and technologies for statistics scientists, developers and field matter specialists that need to explore data, construct models, and teach and installation computer studying models at scale. The answer contains equipment to share visualizations and consequences with others. Watson Studio supports cloud, laptop and native deployment frameworks.

The latter resides at the back of a firm’s firewall or as a SaaS answer running in an IBM deepest cloud. IBM Watson Studio is ranked as a “leader” within the Forrester Wave. It turned into a clients’ option 2018 recipient at Gartner Peer Insights.

Product Description

Watson Studio depends on a group of IBM equipment and applied sciences to build powerful computer studying functions and capabilities. This comprises IBM Cloud pretrained computing device gaining knowledge of fashions equivalent to visual attention, Watson herbal Language Classifier, and others. The ambiance uses Jupyter Notebooks together with other open source tools and scripting languages to complement built-in collaborative venture points.

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The outcomes is an environment that helps quickly and robust machine discovering building and exceptional tuning of fashions. statistics scientists and others can choose between a variety of capacities of Anaconda, Spark and GPU environments.

Watson Studio helps improved visible modeling via a drag-and-drop interface provided by IBM’s SPSS Modeler. additionally, it accommodates automatic deep learning the use of a drag-and-drop, no-code interface in Neural network Modeler.

Overview and features consumer Base

information scientists, builders and field be counted experts.

Interface

Graphical drag-and-drop and command line.

Scripting Languages/formats Supported

helps Anaconda and Apache Spark. The latter offers Scala, Python and R interfaces.

formats Supported

Most main information and file codecs are supported via open source Jupyter Notebooks.

Integration

IBM Watson Studio connects several IBM products, including SPSS Modeler and records Science journey (DSX) along with open supply tools, with a purpose to deliver a sturdy Predictive Analytics and computing device getting to know (PAML) answer.

The atmosphere accommodates open information units through Jupyter Notebooks, Apache Spark and the Python Pixiedust library. The cloud version features interactivity with notebook servers and R Studio, along with Python, R., and Scala coder for statistics scientists.

Reporting and Visualization

Visualization through SPSS Modeler. potent logging and reporting functions are constructed into the product.

Pricing

IBM has adopted a pay-as-you-go model. Watson Studio Cloud – usual fees $99 per thirty days with 50 means unit hours per thirty days included. Watson Studio Cloud - commercial enterprise runs $6,000 per 30 days with 5,000 skill unit hours. Watson Studio computer fees $199 per month with unlimited modeling. Watson Studio native – for enterprise records science groups N/A.

IBM Watson Studio Overview and lines at a glance:

supplier and features

IBM Watson Studio

ML focus

extensive records science focal point with cloud and computing device ML structures.

Key features and capabilities

amazing visual consciousness and natural classification equipment. flexible strategy that incorporates open supply tools. Connects to IBM SPSS Modeler.

consumer comments

tremendously rated for elements and capabilities. Some complaints revolving around using notebooks.

Pricing and licensing

Tiered model from $ninety nine per thirty days per person to $6,000 per month per person or greater at enterprise degree.


Predictive Analytics utility market's visionary leaders illuminated via new record | killexams.com Real Questions and Pass4sure dumps

IBM tops the list of companies within the predictive analytics utility area in keeping with a quadrant currently released via 360Quadrants, followed carefully by using Oracle and SAP SE. IBM’s SPSS Modeler become rated the best in product first-class, reliability, and breadth and depth of offering. IBM SPSS Modeler also captured the accurate spot in criteria like geographic footprint and viability of business.

360Quadrants defines predictive analytics as a statistical and records mining answer such as a large number of algorithms and methodologies used for structured in addition to unstructured facts to extract enterprise insights. 

360Quadrants covers 50+ items within the predictive analytics house and places the suitable 31 of them in a quadrant depending on their first-class, reliability, and company outcomes. These 31 items are labeled into Visionary Leaders, Dynamic Differentiators, emerging organizations, and Innovators.

360Quadrants recognizes IBM Corp, SAS Institute, Inc., SAP SE, fair Issac agency (FICO), Tableau software, Inc., RapidMiner, Inc., Oracle Corp, and Angoss software Corp as Visionary Leaders; TIBCO utility, Inc., Microstrategy, Inc., Alteryx, Inc., suggestions Builder, Dataiku, KNIME.COM AG, and NTT facts service provider, as Innovators; GoodData agency, Microsoft corporation, Teradata corporation, Sisense, Inc., Predixion utility, and Domino statistics Lab, Inc. as Dynamic Differentiators; and Exago, integrated, AgilOne, QlikTech foreign, and Kognitio Ltd. as rising avid gamers.

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a look on the IBM SPSS Modeler and IBM SPSS facts analytics tools | killexams.com Real Questions and Pass4sure dumps

IBM's SPSS predictive analytics equipment consist of IBM SPSS Modeler and IBM SPSS statistics. SPSS Modeler offers statistics mining and text analysis software, whereas SPSS statistics is an integrated family unit of products. each equipment permit users to build predictive models and execute different analytics projects.

The IBM SPSS Modeler aims clients who've little or no programming capabilities. users are offered with a drag-and-drop user interface, enabling them to construct predictive models and perform different information analytics. Modeler can practice diverse processes and algorithms to assist the user find tips hidden within the information. The device can additionally help in integrating and consolidating all kinds of information units from dispersed records sources across the organization.

The IBM SPSS records suite is an integrated set of items geared toward greater skilled information analysts. SPSS facts addresses the comprehensive analytical technique, from planning to data assortment, evaluation, reporting and deployment.

IBM SPSS Modeler aspects

edition 18 provides right here features:

  • more than 30 base laptop studying algorithms.
  • Extensions that provide persisted improvements for use with open source items, comparable to R and Python.
  • better help for a number of multithreaded analytical algorithms, together with Random trees, Tree-AS, Generalized Linear Engine, Linear-AS, Linear help Vector computing device and Two-Step-AS clustering.
  • The capability to run quite a lot of Python and Spark computer learning, as well as other Python analytics libraries natively in Modeler devoid of requiring the use of the Analytic Server, as was required in the outdated version.
  • SPSS Modeler bundles are deployed on premises, and SPSS Modeler Gold is purchasable as a cloud providing. The client front end of SPSS Modeler runs below home windows and macOS, whereas the server part runs on Unix, Linux and home windows.

    IBM SPSS Modeler offers the following editions:

  • SPSS Modeler personal: A single-user computing device product.
  • SPSS Modeler knowledgeable: A computer product that works with IBM SPSS Analytic Server, offering enhanced scalability and efficiency and enabling functions to be used across an organization.
  • SPSS Modeler top rate: This version comprises advanced algorithms and capabilities, comparable to textual content analytics, entity analytics and social network evaluation, that enhance model accuracy with unstructured statistics.
  • SPSS Modeler Gold: This version provides analytical determination administration, collaboration and deployment capabilities. SPSS Modeler Gold is also obtainable as a cloud providing.
  • IBM SPSS information facets

    SPSS facts version 24 comprises the following new aspects:

  • The capability to access greater than one hundred extensions, enabling clients to take capabilities of free libraries written in R, Python and SPSS syntax.
  • The IBM SPSS Extension Hub to browse, down load, replace, get rid of and generally manipulate extensions.
  • a huge upgrade to the custom Dialog Builder, enabling users to more effortlessly construct and deploy their own extensions. Enhancements encompass new controls and new houses for existing controls and a couple of other advancements to the person interface.
  • improvements that allow clients to more comfortably and promptly import and export information into SPPS statistics.
  • improvements to the custom Tables module, including new statistical performance and client-requested features.
  • IBM SPSS statistics offers here three editions (every with additional modules):

  • SPSS statistics commonplace tools provide superior statistical approaches that support linear and nonlinear statistical fashions, as well as predictive simulation modeling, which accounts for uncertain inputs, geospatial analytics and customized tables.
  • SPSS facts expert tools guide statistics coaching, missing values and statistics validity, resolution trees, and forecasting.
  • SPSS records top rate adds advanced analytical concepts, including structural equation modeling, in-depth sampling evaluation and checking out. This bundle additionally contains tactics that target direct marketing and high-conclusion charts and graphs.
  • Pricing for the SPSS Modeler and SPSS data predictive analytics tools fluctuate reckoning on the bundle alternate options, the variety of clients and the license period. SPSS data is now available as a subscription alternative or a perpetual license. IBM presents free trials of each IBM SPSS Modeler and IBM SPSS statistics.

    next Steps

    Why the time period unstructured data is a misnomer

    How large records is changing statistics modeling techniques

    large records techniques pose new challenges to facts governance

    linked materials View more

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    CPSI and TruBridge Collaborate with IBM to Deliver Predictive Analytics at the Point of Patient Care | killexams.com real questions and Pass4sure dumps

    MOBILE, Ala.--(BUSINESS WIRE)--CPSI (NASDAQ: CPSI), a leading provider of health information systems and services, and its wholly owned subsidiary, TruBridge, today announced that they are leveraging IBM technology to develop and deliver predictive analytics to rural and community hospitals.

    As part of the collaboration, the companies will focus on an initial ten hospital case study examining readmission risk. Using IBM’s SPSS Modeler, data aggregated from the participating hospitals will be analyzed to provide predictive analysis of readmission risk factors associated with a patient population. By identifying patients with a higher probability for readmission, caregivers can proactively address risk factors associated with those patients thereby reducing the likelihood of a subsequent readmission.

    “The readmission risk analysis project is an important proof of concept, but only a first step,” said Boyd Douglas, President and Chief Executive Officer of CPSI. “Our collaboration with IBM gives us the tools necessary to leverage big data aggregated and curated from across their client base. The opportunities to manage population health and ultimately improve patient outcomes based on the use of predictive analytics are enormous.”

    Predictive analytics can also be applied to other areas of hospital operations such as revenue cycle management to identify opportunities and develop best practices.

    “White County Medical Center is excited to be participating in CPSI’s initial big data project,” said Stuart Hill, Chief Financial Officer of White County Medical Center, a 245 bed facility in Searcy, AR. “We believe their ability to successfully manage all aspects of population health will be of vital importance in the near future. Not only will they be able to utilize predictive data from CPSI in this effort, but they will also draw on TruBridge’s Consulting Services expertise in helping us identify risks as well as opportunities.”

    “We are very pleased their healthcare IT partner is making this investment in predictive analytics and pursuing big data technologies,” said Shawn Kammerud, Chief Information Officer of Osceola Medical Center, a 25 bed critical access hospital in Osceola, WI. “This venture will provide us with a great opportunity to use their data in concert with that of other hospitals to generate better quality and more actionable information than they could depending solely on their own data. They see the use of predictive analytics as a strategic necessity for their hospital going forward.”

    “We understand that providing quality care in today’s world of cost containment and diminishing reimbursements is a huge challenge for all hospitals,” said Douglas. “However they also believe rural and community hospitals are disproportionately affected by these factors. They are confident their ability to deliver predictive analytics drawn from big data that is specific to rural and community hospitals can provide them tools that will have a positive impact on ensuring the long term sustainability of rural and community healthcare.”

    “Big data and analytics are transforming industries and professions,” said Alistair Rennie, General Manager, Business Analytics, IBM. “We’re pleased to be working with CPSI to apply predictive analytics to help community hospitals identify and address the many operational and financial opportunities to improve healthcare.”

    About CPSI

    CPSI is a leading provider of healthcare information solutions for community hospitals with over 650 client hospitals in 45 states and the District of Columbia. Founded in 1979, the Company is a single-source vendor providing comprehensive software and hardware products, complemented by complete installation services and extensive support. Its fully integrated, enterprise-wide system automates clinical and financial data management in each of the primary functional areas of a hospital. CPSI’s staff of over 1,400 technical, healthcare, medical and business professionals provides system implementation and continuing support services as part of a comprehensive program designed to respond to clients’ information needs in a constantly changing healthcare environment. For more information, visit www.cpsinet.com.

    About TruBridge, LLC

    TruBridge has its roots in CPSI, a leading provider of electronic medical record (EMR) systems. Today, it is a separate company focused exclusively on providing business office, consulting and managed IT services. TruBridge brings 30 years of expertise in delivering effective solutions created for the unique challenges faced by rural and community healthcare organizations. For more information, visit www.trubridge.net.

    Forward-Looking Statements

    Any statements contained in this press release which are not historical facts are forward-looking statements within the meaning of the “safe harbor” provisions of the Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified generally by the use of forward-looking terminology and words such as “expects,” “anticipates,” “estimates,” “believes,” “predicts,” “intends,” “plans,” “potential,” “may,” “continue,” “should,” “will” and words of comparable meaning. Without limiting the generality of the preceding statement, forward-looking statements include all statements other than those made solely with respect to historical fact, including statements with respect to CPSI’s expectations relating to its collaboration with IBM. Numerous risks, uncertainties and other factors may cause actual results to differ materially from those expressed in any forward-looking statements. While it is impossible to identify all such factors, factors which could cause actual results or events to differ materially from those anticipated include, but are not limited to, the effectiveness of CPSI’s strategy of successfully leveraging IBM technology to develop and deliver predictive analytics to rural and community hospitals; overall business and economic conditions affecting the healthcare industry; government regulation of the healthcare and health insurance industries; government regulation of their products and customers, including changes in healthcare policy affecting Medicare and Medicaid reimbursement rates and qualifying technological standards; the potential effects of the federal healthcare reform legislation enacted in 2010, and implementing regulations, on the businesses of their hospital customers; the funding uncertainties associated with and potential expenditures required by the American Recovery and Reinvestment Act of 2009 in connection with the adoption of electronic health records; saturation of their target market and hospital consolidations; changes in customer purchasing priorities, capital expenditures and demand for information technology systems; competition with companies that have greater financial, technical and marketing resources than they have; failure to develop new technology and products in response to market demands; fluctuations in quarterly financial performance due to, among other factors, timing of customer installations; failure of their products to function properly resulting in claims for medical losses; changes in accounting principles generally accepted in the United States; breaches of security and viruses in their systems resulting in customer claims against us and harm to their reputation; potential intellectual property claims against us; general economic conditions, including changes in the financial and credit markets that may affect the availability and cost of credit to us or their customers; interruptions in their power supply and/or telecommunications capabilities and other risk factors described from time to time in their public releases and reports filed with the Securities and Exchange Commission, including, but not limited to, their most recent Annual Report on Form 10-K. They also caution investors that the forward-looking information described herein represents their outlook only as of this date, and they undertake no obligation to update or revise any forward-looking information to reflect events or developments after the date of this press release.



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