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BAS-013 exam Dumps Source : IBM SPSS Modeler Data Mining for Business Partners v2
Test Code : BAS-013
Test Name : IBM SPSS Modeler Data Mining for Business Partners v2
Vendor Name : IBM
: 25 Real Questions
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Many IT departments have implemented software options that go past essential transaction and analytical processing. These packages include fashions that describe definite information behaviors, and these fashions eat latest facts to peer if these patterns of facts behavior exist. if so, operational programs can use this suggestions to make selections. an excellent instance of here is fraud detection. IT data engineers use analytics on ancient information to verify when fraud came about, code this right 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 chance that a transaction may well be fraudulent.
The generic time period for these new programs is synthetic intelligence (AI). They consist of a mixture 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 knowledge of and artificial 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 large data purposes. It also may additionally include customer, supplier and business enterprise facts, perhaps at far flung websites, and even extends to public records equivalent to twitter, news feeds and survey effects. another viable source of information is server performance logs that encompass useful resource usage history.
be aware 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, put up-and-subscribe approaches for statistics replication, as well as those for general backup and restoration and disaster recovery planning.
Layer 2: The Analytics Engines.
during this layer exist a mix of hardware and software that executes business analytics towards the statistics layer. There are a few normal players during this area. They include:
simply because the records layer happens throughout diverse hardware systems and dispensed websites, so will the analytics engines layer. The most important 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 right here steps:
information scientists be aware of that some of the gold standard merits of computer getting to know is to make use of the effects in operational systems; as an instance, having an ML model analyze 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 knowledge of solutions.
Now that they have 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 right here:
Let’s take 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 noted above), WMLz can analyze 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 also go up as smartly. As a further example, a number of KPIs may well be behaviorally identical, so WMLz can cluster them as a gaggle and function extra evaluation across agencies. WMLz can also assess KPI baseline behaviors in accordance with time-of-day, time zone of transactions or seasonal endeavor.
Anomaly Detection. as soon as correlations are found out, WMLz can seem to be contrary effects and file them as anomalies. In their I/O illustration above, an anomaly could be 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 seek patterns among KPIs and facts identifiers. as an instance, CPU may also boost when processing definite categories of transactions.
KPI prediction. An extension of simple KPI processing, WMLz can use the previous behaviors of organizations of KPIs to predict the longer term. consider their I/O instance once once more. The product might also realize that certain transactions become more numerous all over a particular time length, and these transactions devour significantly greater CPU cycles. The product can also then predict future CPU spikes.
Batch workload evaluation. Many IT retail outlets have a big 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 use large shared components (corresponding to tape drives or uniqueness hardware) and a few are so aid-intensive that then can't be executed on the same time. WMLz can analyze 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 analyze CPU usage throughout time, search for patterns and make predictions and proposals for application license charge 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 use of notebooks, records visualization equipment and wizards to velocity the building method. several brief-birth application templates are also included within the toolset for general business necessities reminiscent of fraud detection, load approval and IT operational analytics. The newest edition of WMLz (edition 2.1.0) comprises support for Ubuntu Linux on Z, java APIs, simplified Python equipment management and several different elements.
interested readers should reference the hyperlinks below for greater targeted technical assistance.
# # #
See all articles via Lockwood LyonREFERENCES
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 knowledge of
Watson computer learning - Resourceshttps://www.ibm.com/cloud/computing device-researching/components
See the full checklist of computer learning SolutionsSee consumer reports of IBM Watson Studiofinal analysis
Watson is an umbrella for all IBM deep gaining knowledge of and artificial intelligence, as well as computer getting to know. The business 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 knowledge of and deep researching technologies.
The platform provides huge equipment and applied sciences for facts scientists, developers and discipline count number consultants that desire to discover information, build models, and educate and installation desktop studying models at scale. The solution includes equipment to share 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 answer 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 equipment 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 fast and powerful desktop gaining knowledge of development and great 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 deep researching using a drag-and-drop, no-code interface in Neural network Modeler.Overview and lines consumer Base
information scientists, builders and field 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 experience (DSX) along with open supply equipment, as a way to convey a robust Predictive Analytics and desktop gaining knowledge 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. strong 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 native – for business statistics science teams N/A.IBM Watson Studio Overview and lines at a glance:
supplier and contours
IBM Watson Studio
huge statistics science center of attention with cloud and laptop ML systems.
Key aspects and capabilities
amazing visible recognition and herbal classification tools. flexible strategy that contains open source equipment. Connects to IBM SPSS Modeler.
highly rated for points and capabilities. Some complaints revolving around the use 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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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 demand by employers in Illinois and around the globe. As part of the program, DePaul is also offering students the nation's first Masters of Science in Predictive Analytics, in an effort to bridge the gap between business and technology.
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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 see business intelligence and analytics as important jobs they must fill within the next two to three years. Firms rate these as important occupations, yet they lack confidence in finding the right 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, improve customer buying experiences, reduce traffic congestion, predict part failures, and combat crime. As organizations seek to create value from the exponentially growing amount of structured and unstructured data, they need leaders with strong analytical capabilities to understand this data for smarter decisions and, thereby, improve 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 all 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 ability to analyze large datasets and to develop modeling solutions to support optimized decision-making; a strong understanding of the fundamental principles of marketing and customer relationship management; and, the ability to present results effectively to a non-technical business audience.
"Predictive analytics is providing new job opportunities for students entering the workforce in all 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 also 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 knowledge that should benefit them — and society — for years to come."
To see 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 business challenges. IBM will also donate resources in the form of IBM predictive analytics software, curriculum and datasets, and provide guest lecturers. In support of the Center, IBM is also 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, demand 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 improve decision-making, the demand for experienced professionals is critical. The DePaul University Center for Data Mining and Predictive Analytics will give employers confidence in an individual's ability, advance 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 knowledge are critical 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 advantage upon graduation. IBM and DePaul University share the vision that educating students in the application of predictive analytics will advance careers and create leadership opportunities in tomorrow's workforce."
To listen to Deepak Advani discuss the importance of the new DePaul Center for Data Mining and Predictive Analytics, click here.
Furthering Career Opportunities in Predictive Analytics with Analytic Certification
IBM is also announcing the ACE program, providing universities and colleges the information and testing they need 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 use of IBM SPSS software.
IBM has created a globally recognized credential to advance the skills of students seeking to become professional analysts, statisticians and business line managers – across any industry – and give organizations greater confidence in hiring those with proficiencies in the leading predictive analytics software.
There is no charge to the university or college to participate in this program, only the requirement that the educator be certified. Participation in ACE includes comprehensive materials covering all requisite content to ensure student success, practice mini-examinations to facilitate student preparation, and student and faculty examination discounts of 50 percent.
In the last four years, IBM has invested $11 billion to build its business analytics portfolio, dedicated 5,000 services consultants and made 18 acquisitions. The IBM Academic Initiative offers no charge access to online resources to help more than 4,600 universities and community colleges worldwide cultivate more competitive business and IT skills to meet the needs of new and emerging industries.
To learn more about DePaul University, please visit www.depaul.edu
To learn more about IBM business analytics please visit: www.ibm.com/gbs/bao
To learn more about SPSS, an IBM Company, please visit: www.spss.com
Follow developments on IBM Business Analytics at:
IBM Business Analytics & Optimization Online Press Kit
IBM Business Analytics & Optimization: Smarter Planet on Tumblr
IBM Business Analytics on Twitter
SOURCE IBM Corporation
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 financial services.
Aginity Amp™ analytics management software, along with IBM Analytics and Watson Customer Engagement solutions, helps companies measurably improve business 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 Campaign 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 Business Services.
"We are proud to be recognized for the unique value that Aginity delivers as an IBM Business Partner from the start of the sales cycle through to full deployment of joint solutions," said Mike Blyth, executive vice president for strategic development 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 make 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 increase the number of weekly marketing offers delivered through IBM Campaign from seven to 35 while also improving the targeting of those offers.
Neal Callahan, vice president of IBM Global Business 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 Level IBM Business Partner, Aginity has twice won prestigious IBM Beacon Awards – in 2013 in the Retail Solutions category and in 2015 for Big Data and Analytics Solutions. In 2016, Aginity began offering Amp globally through the IBM Marketplace.
Founded in 2005, Aginity transforms the way companies compete on analytics. Aginity Amp™ software enables companies to create, catalog and manage analytics as assets which can then be reused consistently everywhere in the enterprise. Customers have seen significant operational cost savings and achieved improvements in business 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, email@example.com
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Copyright (C) 2017 PR Newswire. All rights reserved
People and Co. Ltd, an IBM business partner 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, business intelligence, social media analytics and data and text mining/statistics/predictive analytics are now becoming increasingly integrated as IBM’s business 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 also had the opportunity to interact with the technologies presented with a hands-one workshop.
Data mining offers organisations many benefits, including a more detailed 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 be made, which drive superior outcomes.
IBM SPSS Modeler is a data mining workbench that enables improved decision making with quick development of predictive models using business expertise and quick deployment of these models into business operations. Designed around the Cross Industry Standard Process for Data Mining model, it supports the entire data mining process, from business understanding to deployment.
IBM-SPSS Modeler uses a client/server architecture, allowing resource-intensive operations to be executed on a server. This results in increased performance as memory intensive operations can be done on the server without downloading data to the client computer. IBM SPSS Modeler Server also supports SQL optimisation and in-database modelling capabilities, delivering further benefits in performance.
For further information, e-mail firstname.lastname@example.org.
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