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BAS-013 IBM SPSS Modeler Data Mining for trade Partners v2

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BAS-013 exam Dumps Source : IBM SPSS Modeler Data Mining for trade Partners v2

Test Code : BAS-013
Test cognomen : IBM SPSS Modeler Data Mining for trade Partners v2
Vendor cognomen : IBM
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IBM Improves IT Operations with synthetic Intelligence | killexams.com true Questions and Pass4sure dumps

artificial Intelligence in IT nowadays

Many IT departments accommodate implemented software options that retrograde past essential transaction and analytical processing. These packages include fashions that relate distinct information behaviors, and these fashions consume latest facts to peer if these patterns of facts deportment exist. if so, operational programs can employ this suggestions to invent selections. an excellent instance of here is fraud detection. IT data engineers employ analytics on ancient information to verify when fraud came about, code this birthright into a model, and set up the model as a provider. Then, any operational system can invoke the model, flow it present facts and obtain a mannequin “score” that represents the casual that a transaction may well breathe fraudulent.

The generic time period for these new programs is synthetic intelligence (AI). They consist of a admixture of search, optimization and analytics algorithms, statistical analysis innovations and template methods for ingesting data, executing these innovations and making the outcomes obtainable as capabilities referred to as models. The subset of AI that offers with model introduction and implementation is every now and then known as laptop getting to know (ML).

computing device gaining scholarship of and simulated Intelligence

IT departments implement ML and AI options in the broader context of their information and processing footprint. here's continually depicted as the following 4-layer hierarchy.

Layer 1: The information.

this layer consists of the information allotted throughout the commercial enterprise. It includes mainframe and dispensed statistics similar to product and sales databases, transactional information and analytical statistics within the data warehouse and any great data purposes. It moreover may additionally include customer, supplier and trade enterprise facts, perhaps at far flung websites, and even extends to public records equivalent to twitter, word feeds and survey effects. another viable source of information is server performance logs that encompass useful resource usage history.

be awake that these statistics exist across diverse hardware platforms including on-premises and cloud-based. As such, a variety of statistics features can exist in diverse kinds and formats (e.g. text, ASCII, EBCDIC, UTF-eight, XML, pictures, audio clips, and so forth.). moreover, at this stage will exist hardware and utility that control the information, including high-speed statistics loaders, data purge and archive processes, set aside up-and-subscribe approaches for statistics replication, as well as those for universal backup and restoration and calamity recovery planning.

Layer 2: The Analytics Engines.

during this layer exist a merge of hardware and software that executes trade analytics towards the statistics layer. There are a few regular players during this area. They include:

  • The IBM Db2 Analytics Accelerator (IDAA) than may moreover breathe applied as standalone hardware or thoroughly integrated within certain z14 servers;
  • Spark on z/OS;
  • Spark Anaconda on z/OS;
  • Spark clusters on allotted systems.
  • simply because the records layer happens throughout diverse hardware systems and dispensed websites, so will the analytics engines layer. The most primary characteristic of this layer is to provide an optimized data entry layer in opposition t the underlying facts as a provider for AI and operational functions.

    Layer 3: The laptop learning Platform.

    IT implements desktop researching application during this layer. It accesses the information through one or greater of the analytics engines. it's during this layer that IBM delivers its latest providing, Watson laptop researching for z/OS (WMLz). WMLz gives a primary computing device studying workflow together with birthright here steps:

  • statistics Ingestion and education — Inputting data, filling in lacking values, encoding category data, creating indexes and normalizing numeric values;
  • model structure and training — An interface for the data scientist to create a mannequin of facts habits according to ancient analytics, educate the model to discover records patterns and validate the model;
  • mannequin Deployment — set aside in obligate the model as a production technique, including techniques for updating fashions in-location and monitoring model outcomes;
  • remarks Loops — processes that enable computerized mannequin researching by passage of feeding model effects returned into the model working towards process to update models or bear new ones.
  • information scientists breathe awake of that some of the gold yardstick merits of computer getting to know is to invent employ of the effects in operational systems; as an instance, having an ML model anatomize fiscal statistics to examine the possibility of fraud. This capacity that you'll obtain most efficient performance in the event you deploy ML within the hardware atmosphere where transaction processing happens. for a lot of giant groups this capability the IBM zServer environment.

    Layer four: desktop gaining scholarship of solutions.

    Now that they accommodate the desktop researching platform available as ML functions, they can create combined AI/ML solutions that invoke those functions. IBM has a number of able-made solutions for this residue, together with birthright here:

  • Db2 AI for z/OS (Db2ZAI) -- the employ of Db2 SMF information for evaluation, Db2ZAI displays and analyzes Db2 operations in a Z/OS ambiance. it could supply more advantageous query access course counsel to the Db2 optimizer to enhance SQL efficiency, diagnose Db2 performance abnormalities and intimate corrective motion and detect Db2 records anomalies and supply performance tuning concepts;
  • IBM Z Operations Analytics (IZOA) -- This product analyzes z/OS SMF facts and detects changes in subsystem employ and forecasts adjustments that can breathe required in the future, does automatic issue evaluation and offers difficulty insights from universal problem signatures.
  • Watson desktop discovering on Z

    Let’s buy a deeper dive into how Watson laptop researching on Z (WMLz) works and what functions it could possibly provide.

    Key efficiency symptoms (KPIs). WMLz does not inherently recognize what performance elements are crucial to you. youngsters, as soon as these KPIs are defined (either via a person or by means of enforcing some of the computer researching options preeminent above), WMLz can anatomize KPI records to search for correlations. as an instance, when one KPI (say, I/O towards a crucial database) goes up, another KPI (say CPU utilization) might moreover retrograde up as smartly. As a further example, a number of KPIs may well breathe behaviorally identical, so WMLz can cluster them as a gaggle and role extra evaluation across agencies. WMLz can moreover assess KPI baseline behaviors in accordance with time-of-day, time zone of transactions or seasonal endeavor.

    Anomaly Detection. as soon as correlations are institute out, WMLz can seem to breathe perverse effects and file them as anomalies. In their I/O illustration above, an anomaly could breathe reported if I/O in opposition t a vital database expanded however CPU usage decreased.

    sample awareness. As with many laptop researching engines, WMLz will quest patterns among KPIs and facts identifiers. as an instance, CPU may moreover boost when processing distinct categories of transactions.

    KPI prediction. An extension of simple KPI processing, WMLz can employ the previous behaviors of organizations of KPIs to predict the longer term. respect their I/O instance once once more. The product might moreover realize that certain transactions become more numerous each and every over a particular time length, and these transactions devour significantly greater CPU cycles. The product can moreover then predict future CPU spikes.

    Batch workload evaluation. Many IT retail outlets accommodate a ample contingent of batch processing this is tightly scheduled and contains job and useful resource dependencies. Some jobs must wait for their predecessors to complete, some employ great shared components (corresponding to tape drives or uniqueness hardware) and a few are so aid-intensive that then can't breathe executed on the selfsame time. WMLz can anatomize the workload information, including resource utilization, and supply thoughts for balancing supplies or tuning elapsed times.

    MLC cost pattern analysis and cost discount. Some IBM utility license costs are billed month-to-month, and the license volume may additionally depend on optimum CPU utilization throughout top durations. WMLz can anatomize CPU usage throughout time, search for patterns and invent predictions and proposals for application license saturate discount.

    Watson computing device learning for z/OS — facets

    IBM’s Watson desktop studying for z/OS allows IT its alternative of construction environments to enhance models together with IBM SPSS Modeler. These environments aid information scientists through the employ of notebooks, records visualization rig and wizards to velocity the structure method. several brief-birth application templates are moreover included within the toolset for universal trade necessities reminiscent of fraud detection, load approval and IT operational analytics. The newest edition of WMLz (edition 2.1.0) comprises back for Ubuntu Linux on Z, java APIs, simplified Python rig management and several different elements.

    interested readers should reference the hyperlinks below for greater targeted technical assistance.

    # # #

    See each and every articles via Lockwood Lyon

    REFERENCES

    machine discovering and synthetic Intelligencehttps://en.wikipedia.org/wiki/Machine_learning

    statistics and AI on IBM Zhttps://www.ibm.com/analytics/z-analytics

    the usage of Anaconda with Spark — Anaconda 2.0 documentationhttps://docs.anaconda.com/anaconda-scale/spark/

    Watson computer researching - Overviewhttps://www.ibm.com/cloud/computer-gaining scholarship of

    Watson computer learning - Resourceshttps://www.ibm.com/cloud/computing device-researching/components


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

    See the plenary checklist of computer learning SolutionsSee consumer reports of IBM Watson Studio

    final analysis

    Watson is an umbrella for each and every IBM abysmal gaining scholarship of and simulated intelligence, as well as computer getting to know. The trade turned into a pioneer in introducing AI technologies to the enterprise world. What this capacity for buyers: Watson Studio is a proper contender for any organization looking to installation computer gaining scholarship of and abysmal researching technologies.

    The platform provides huge rig and applied sciences for facts scientists, developers and discipline weigh number consultants that covet to discover information, build models, and educate and installation desktop studying models at scale. The solution includes rig to participate visualizations and consequences with others. Watson Studio helps cloud, desktop and local deployment frameworks.

    The latter resides at the back of an organization’s firewall or as a SaaS respond running in an IBM inner most cloud. IBM Watson Studio is ranked as a “chief” within the Forrester Wave. It turned into a consumers’ alternative 2018 recipient at Gartner Peer Insights.

    Product Description

    Watson Studio depends on a set of IBM tools and technologies to build powerful desktop learning purposes and capabilities. This contains IBM Cloud pretrained computer learning models comparable to visible consciousness, Watson natural Language Classifier, and others. The atmosphere uses Jupyter Notebooks along with different open source rig and scripting languages to complement constructed-in collaborative project facets.

    https://o1.qnsr.com/log/p.gif?;n=203;c=204660772;s=9478;x=7936;f=201812281334210;u=j;z=TIMESTAMP;a=20403954;e=i

    The outcome is an ambiance that enables quick and powerful desktop gaining scholarship of evolution and considerable tuning of models. information scientists and others can choose from quite a lot of capacities of Anaconda, Spark and GPU environments.

    Watson Studio helps stronger visual modeling via a drag-and-drop interface offered by using IBM’s SPSS Modeler. in addition, it incorporates computerized abysmal researching using a drag-and-drop, no-code interface in Neural network Modeler.

    Overview and lines consumer Base

    information scientists, builders and realm remember consultants.

    Interface

    Graphical drag-and-drop and command line.

    Scripting Languages/formats Supported

    supports Anaconda and Apache Spark. The latter presents Scala, Python and R interfaces.

    codecs Supported

    Most principal records and file codecs are supported via open source Jupyter Notebooks.

    Integration

    IBM Watson Studio connects several IBM items, together with SPSS Modeler and information Science relish (DSX) along with open supply equipment, as a passage to convey a robust Predictive Analytics and desktop gaining scholarship of (PAML) solution.

    The atmosphere comprises open records sets via Jupyter Notebooks, Apache Spark and the Python Pixiedust library. The cloud edition elements interactivity with notebook servers and R Studio, along with Python, R., and Scala coder for information scientists.

    Reporting and Visualization

    Visualization through SPSS Modeler. stalwart logging and reporting features are built into the product.

    Pricing

    IBM has adopted a pay-as-you-go model. Watson Studio Cloud – ordinary fees $ninety nine per thirty days with 50 potential unit hours per 30 days included. Watson Studio Cloud - commercial enterprise runs $6,000 monthly with 5,000 skill unit hours. Watson Studio laptop fees $199 per thirty days with unlimited modeling. Watson Studio endemic – for trade statistics science teams N/A.

    IBM Watson Studio Overview and lines at a glance:

    supplier and contours

    IBM Watson Studio

    ML focus

    huge statistics science center of attention with cloud and laptop ML systems.

    Key aspects and capabilities

    amazing visible recognition and herbal classification tools. springy strategy that contains open source equipment. Connects to IBM SPSS Modeler.

    consumer comments

    highly rated for points and capabilities. Some complaints revolving around the employ of notebooks.

    Pricing and licensing

    Tiered model from $ninety nine per 30 days per user to $6,000 monthly per consumer or more at enterprise stage.


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    DePaul University and IBM Team to Launch New center for Data Mining and Predictive Analytics | killexams.com true questions and Pass4sure dumps

    CHICAGO, June 16 /PRNewswire-FirstCall/ -- IBM (NYSE: IBM) and DePaul University today unveiled a new center for Data Mining and Predictive Analytics that gives students expertise in predictive analytics, a skill increasingly in exact by employers in Illinois and around the globe. As fragment of the program, DePaul is moreover offering students the nation's first Masters of Science in Predictive Analytics, in an application to bridge the gap between trade and technology.

    (Logo:  http://photos.prnewswire.com/prnh/20090416/IBMLOGO )

    (Logo:  http://www.newscom.com/cgi-bin/prnh/20090416/IBMLOGO )

    The new predictive analytics curriculum will prepare university students for careers in key industries such as energy and utilities, healthcare, education, transportation, criminal justice and public service that increasingly require analytical skills.

    According to the April 2010 "IT Occupation Trends in Illinois" study conducted by the Illinois Technology Association and CompTIA, 65 percent of Illinois businesses discern trade intelligence and analytics as primary jobs they must fill within the next two to three years. Firms rate these as primary occupations, yet they requisite aplomb in finding the birthright workers for these roles.

    Today, businesses and governments are driving transformation projects with predictive analytics to understand customer behavior, detect fraud, lower energy consumption through smart grids, better customer buying experiences, reduce traffic congestion, predict fragment failures, and combat crime. As organizations quest to create value from the exponentially growing amount of structured and unstructured data, they requisite leaders with stalwart analytical capabilities to understand this data for smarter decisions and, thereby, better performance.

    Opening in September 2010, the DePaul University center for Data Mining and Predictive Analytics is an applied research center that focuses on the applications of data mining across each and every industries as students prepare for careers in healthcare, green infrastructure, clean energy and utilities, education, transportation and public service, among others. This joint venture involving faculty from the School of Computing and the Department of Marketing will create an essential bridge between technology and business.

    Students in the predictive analytics masters program can choose from a curriculum of approximately 30 courses. They will obtain a variety of skills required for a career in data mining and predictive analytics, including the talent to anatomize great datasets and to develop modeling solutions to back optimized decision-making; a stalwart understanding of the fundamental principles of marketing and customer relationship management; and, the talent to present results effectively to a non-technical trade audience.

    "Predictive analytics is providing new job opportunities for students entering the workforce in each and every areas of business," said Suzanne Fogel, Chair, Department of Marketing at DePaul University. "The new center for Data Mining and Predictive Analytics is an investment in an area that is greatly in-demand by organizations worldwide. It moreover affirms DePaul's commitment to constantly innovate and evolve its teachings to keep students on the leading edge of business, preparing students for future jobs with a highly-marketable skill. Working on these challenges in collaboration with IBM offers students the rare opportunity to acquire real-world scholarship that should benefit them — and society — for years to come."

    To discern video of DePaul University students express their excitement over the new center for Data Mining and Predictive Analytics, click here, here and here.

    As the Center's first partner, IBM will provide industry expertise and guidance to professors and researchers as they apply predictive analytics and data mining skills to solve trade challenges. IBM will moreover donate resources in the form of IBM predictive analytics software, curriculum and datasets, and provide guest lecturers. In back of the Center, IBM is moreover announcing its Analytic Certification in Education (ACE) program that validates a student's proficiency in IBM SPSS predictive analytics software and serves as a significant differentiator for those vying for prominent positions in today's job market.

    According to the U.S. Bureau of Labor, exact for individuals with proven statistical competencies is expected to grow 20 percent through 2018. As more organizations harness the exponential growth of data with predictive analytics to better decision-making, the exact for experienced professionals is critical. The DePaul University center for Data Mining and Predictive Analytics will give employers aplomb in an individual's ability, forward careers and create leadership opportunities for these students.

    Deepak Advani, vice president of predictive analytics at IBM, said, "As analytics goes mainstream, organizations realize that smart and accomplished professionals fluent in this scholarship are censorious to their success. IBM predictive analytics is used by academic institutions around the globe in preparing students for successful careers and giving them a significant handicap upon graduation. IBM and DePaul University participate the vision that educating students in the application of predictive analytics will forward careers and create leadership opportunities in tomorrow's workforce."

    To listen to Deepak Advani contend the import of the new DePaul center for Data Mining and Predictive Analytics, click here.

    Furthering Career Opportunities in Predictive Analytics with Analytic Certification

    IBM is moreover announcing the ACE program, providing universities and colleges the information and testing they requisite to ensure their students are trained to meet the rigorous demands of the commercial world. Independent, third-party testing ensures that prospective employees are prepared to tackle the toughest analytical tasks through the employ of IBM SPSS software.

    IBM has created a globally recognized credential to forward the skills of students seeking to become professional analysts, statisticians and trade line managers – across any industry – and give organizations greater aplomb in hiring those with proficiencies in the leading predictive analytics software.

    There is no saturate to the university or college to participate in this program, only the requirement that the educator breathe certified. Participation in ACE includes comprehensive materials covering each and every requisite content to ensure student success, drill mini-examinations to facilitate student preparation, and student and faculty examination discounts of 50 percent.

    In the ultimate four years, IBM has invested $11 billion to build its trade analytics portfolio, dedicated 5,000 services consultants and made 18 acquisitions. The IBM Academic Initiative offers no saturate access to online resources to attend more than 4,600 universities and community colleges worldwide cultivate more competitive trade and IT skills to meet the needs of new and emerging industries.

    To learn more about DePaul University, gladden visit www.depaul.edu

    To learn more about IBM trade analytics gladden visit: www.ibm.com/gbs/bao

    To learn more about SPSS, an IBM Company, gladden visit: www.spss.com

    Follow developments on IBM trade Analytics at:

    IBM trade Analytics & Optimization Online Press Kit

    IBM trade Analytics & Optimization: Smarter Planet on Tumblr

    IBM trade Analytics on Twitter

    SOURCE IBM Corporation


    Aginity Wins IBM trade confederate Leadership Award | killexams.com true questions and Pass4sure dumps

    LAS VEGAS and EVANSTON, Ill., Feb. 16, 2017 /PRNewswire/ -- Yesterday, IBM presented Aginity with a 2017 IBM North America Top Independent Software Vendor Leadership Award. The award acknowledges the extensive collaboration between Aginity and IBM in 2016, with more than 20 successful joint deployments in North America and worldwide across industries such as retail, consumer products, media and fiscal services.

    Aginity Amp™ analytics management software, along with IBM Analytics and Watson Customer appointment solutions, helps companies measurably better trade outcomes. Amp works seamlessly with IBM products including SPSS [® ] and IBM Modeler™ for statistics and data mining, IBM Cognos [®] for reporting, IBM Tivoli [®] for scheduling and IBM drive for marketing automation. Aginity software been deployed dozens of times alongside the IBM PureData [®] for Analytics Solution, powered by Netezza technologies -- often in collaborative engagements with IBM Global trade Services.

    "We are proud to breathe recognized for the unique value that Aginity delivers as an IBM trade confederate from the start of the sales cycle through to plenary deployment of joint solutions," said Mike Blyth, executive vice president for strategic evolution at Aginity. "Amp helps companies overcome challenges such as siloed data or a shortage of skilled data scientists by enabling them to readily combine data from various sources and invent analytic 'building blocks' accessible across users, applications and geographies."

    Companies can catalog analytics in Amp, which enables analysts to reuse them in a variety of applications and to build additional analytics. In one engagement, for example, Amp enabled a global company to integrate 10 years of customer data for seven brands across three geographic regions in 90 days. Efficiencies enabled by analytic reuse enabled the company to expand the number of weekly marketing offers delivered through IBM drive from seven to 35 while moreover improving the targeting of those offers.

    Neal Callahan, vice president of IBM Global trade Partners for North America, presented the award at the IBM PartnerWorld Leadership Conference in Las Vegas, which this year attracted more than 2,500 attendees. A Gold flush IBM trade Partner, Aginity has twice won prestigious IBM Beacon Awards – in 2013 in the Retail Solutions category and in 2015 for ample Data and Analytics Solutions. In 2016, Aginity began offering Amp globally through the IBM Marketplace.

    About Aginity

    Founded in 2005, Aginity transforms the passage companies compete on analytics. Aginity Amp™ software enables companies to create, catalog and manage analytics as assets which can then breathe reused consistently everywhere in the enterprise. Customers accommodate seen significant operational cost savings and achieved improvements in trade outcomes by applying the governed, reusable analytics that Amp enables. Aginity is a privately held company headquartered in the Chicago area. For more information, visit www.aginity.com.

    For more information: Kelly McClure, kmcclure@aginty.com

    To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/aginity-wins-ibm-business-partner-leadership-award-300408895.html

    SOURCE Aginity

    Copyright (C) 2017 PR Newswire. each and every rights reserved


    iGaming seminar held at Smart City | killexams.com true questions and Pass4sure dumps

    The seminar on solutions for predictive analytics for iGaming.

    People and Co. Ltd, an IBM trade confederate supplying statistics, data mining, data collection, survey research and text analysis solutions, recently held a seminar at Smart City on solutions for predictive analytics for iGaming.

    The seminar targeted iGaming executives, analysts, marketing personnel, such as customer segmentation and customer relation­ship managers, as well as fraud and risk specialists.

    People & Co. Ltd CEO David Cutajar provided an overview of predictive analytics in the iGaming industry and gave a practical demonstration of how the technologies work. He spoke about the IBM-SPSS approach to data mining and predictive analytics and elaborated how combination of IBM’s latest database technologies, trade intelligence, gregarious media analytics and data and text mining/statistics/predictive analytics are now becoming increasingly integrated as IBM’s trade analytics and information management solutions.

    The seminar included a demonstration of IBM-SPSS Modeler 16, the latest version of this versitile and powerful software, and other technologies using online Casino, Leisure, Poker and Sportsbook scenarios. Some participants moreover had the opportunity to interact with the technologies presented with a hands-one workshop.

    Data mining offers organisations many benefits, including a more particular view of their customers or assets, a clearer view of current conditions and deeper insight into future events. By choosing a high-performance data mining tool, organisations can mine their data more efficiently and gain a significant return on investment by understanding the patterns in their data, allowing better decisions to breathe made, which drive superior outcomes.

    IBM SPSS Modeler is a data mining workbench that enables improved conclusion making with quick evolution of predictive models using trade expertise and quick deployment of these models into trade operations. Designed around the Cross Industry yardstick Process for Data Mining model, it supports the entire data mining process, from trade understanding to deployment.

    IBM-SPSS Modeler uses a client/server architecture, allowing resource-intensive operations to breathe executed on a server. This results in increased performance as reminiscence intensive operations can breathe done on the server without downloading data to the client computer. IBM SPSS Modeler Server moreover supports SQL optimisation and in-database modelling capabilities, delivering further benefits in performance.

    For further information, e-mail spss@people.com.mt.



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