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simplest days after IBM announced the acquisition of doc seize supplier Datacap, massive Blue has snatched Unica (information, web site) -- a advertising administration developer that automates, manages and quickens core company procedures across advertising channels.
The contract, which turned into finalized on Friday, will see IBM (information, site) pay US$ 480 million for Unica which might be included into IBM’s techniques and utility neighborhood together with its group of workers of 500.
greater above all, it will be built-in into the business Analytics and Optimization Consulting firm, on which IBM has spent close to US$ 11 billion of the previous 5 years with the acquisition of businesses like InfoSphere and Cognos and greater recently, NISC and provoke.IBM, Analytics and Acquisitions
The NISC acquisition turned into in the beginning introduced in January and closed in June in a deal that bolstered IBMs hold on the public sector market in particular in fitness, where it has been increasing its company Analytics and Optimization items.
company Analytics and Optimization is the currently developed approach from IBM of applying advanced analytics to helping businesses predict the doubtless affect of actions with a purpose to enhance choice-making.
In can also, IBM upgraded its SPSS predictive analytics tool enabling clients to investigate textual content gathered from social media sources, including Twitter, fb, blogs, wikis and RSS feeds.
The improve represents a substantial develop in the SPSS Modeler records mining and textual content analytics answer with knowledge that stretch as far as detecting the context of the phrases used.IBM and Unica
These and different deals over the last few years have created a bold analytics enterprise. youngsters, it definitely hasn’t had a product that may deliver predictive analytics for advertising campaigns and in this their business analytics became quite susceptible compared to its other analytics accessories. With Unica, IBM says it'll cure this.
IBM understands the calls for on trendy corporations to radically change core business methods in features equivalent to advertising and marketing with intelligence and automation . . . Unica was a clear choice for IBM in accordance with its energy to automate a huge set of advertising capabilities . . .,” referred to Craig Hayman, normal supervisor at IBM business solutions in a press release.What Unica Brings to IBM
IBM will additionally acquire 1500 new clients including most excellent purchase, eBay, and US mobile who are at present using either Unica’s SaaS or on premise application.
And whereas financially 2009 wasn’t a particularly vivid year for Unica, like many different software companies it looks to have turned the corner with its Q3 figures, which were launched at first of this month.
standard the figures reveal complete revenues of US$ 30.7 million, an increase of 14% in comparison to Q3 in 2009. In particularly, license earnings grew sixty nine% for the quarter and is up 37% for the year thus far. It has also continued to expand its subscription-based mostly choices, which grew over 70% annually.
Unica’s utility will now be delivered to IBM’s InfoSphere, Cognos, and SPSS records analytics utility, and its Sterling Commerce, Coremetrics, and WebSphere e-commerce utility. The deal is expected to close in the fourth quarter of this yr.
The IBM Watson AI gadget drew the area’s consideration via winning at "Jeopardy" in February 2011 towards two of the game’s all-time champions, and IBM has strived to follow the Watson gadget to extra interesting complications than a minutiae quiz ever on the grounds that. IBM has also extended Watson’s capabilities to developers, statistics scientists, and even average company users. together with IBM’s SPSS predictive analytics application, Watson types the foundation of IBM’s cloud offerings in computer studying and superior analytics.
IBM breaks the Watson system into 5 components: desktop researching, query analysis, herbal language processing, characteristic engineering, and ontology evaluation. From these parts, IBM has built out a suite of composable cloud functions from which you can make your own mini-Watson for a solution to your problem. (note that compiling the talents base for the answers is convenient: 95 % of "Jeopardy" questions can also be answered through the titles of Wikipedia articles.)
meanwhile, IBM is collaborating on making use of Watson suggestions to health care, seismology, schooling, and genomics, at commercial enterprise tiers. whereas these efforts are very interesting, above all within the long run, for the applications of this overview I’ll pay attention to Watson and different laptop learning (ML) expertise it's attainable to be used in the IBM Cloud, which comprises the Bluemix PaaS.
What different ML tech? In nook of IBM’s some distance-flung empire, IBM SPSS offers each windows and cloud implementations of the SPSS Modeler package, plus a Predictive Analytics carrier that may run its model predictions in actual time in the Bluemix PaaS and periodic batch jobs to update the models. IBM SPSS Modeler is corresponding to Azure computer learning and Databricks, while the IBM Watson features are similar to Microsoft’s challenge Oxford and Cortana Analytics, as well as to HPE’s Haven OnDemand.
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Business Applications Editor
Russian airline Aeroflot is using analytics software from IBM to try to boost passenger numbers and entrench customer loyalty.
Aeroflot carried 26.1 million passengers last year and is Russia’s largest airline. IBM has had a presence in Russia for 40 years, right back into the Soviet era.
Through the deal, Aeroflot will use IBM’s advanced analytics technologies, such as its Hadoop-based BigInsights platform and its predictive analytics product family SPSS, to draw customer insights from structured and unstructured data held on the company’s travel booking website and in social networks as well as its IT and accounting systems.
The system will apply data mining, machine learning and predictive modelling to more than 300 data sources to analyse the buying behaviour of Aeroflot’s customers and calculate their lifetime value to the business.
Aeroflot’s sales staff will use the software to target travellers with the right profiles with deals to new destinations, among other activities.
In a statement, the company’s marketing director Mikhail Fandeyev said: “Personalisation and targeted marketing tools will allow us to proactively attract new customers while successfully developing relationships with our existing base.”
Russian firm Technoserv Consulting is the system integrator for the deal. Dmitry Bulenko, its director of business development for the transport sector, said: “Aeroflot was the first among Russian airlines to clearly understand the value of data within its organisation.”
Eugene Ostrovsky, head of transport industry for IBM in Eastern Europe and Asia, said: “As a long-term partner to Aeroflot… we are providing some of the most advanced technologies available to help turn data into valuable insight.”
The UK’s national carrier, British Airways, also has an established data analytics programme, again aimed at customer personalisation. In 2013 Computer Weekly reported it as using “third parties such as Opera Solutions, a company that uses advanced science to extract predictive patterns from data and turn them into business outcomes”.
Last year, we ran an article outlining “Six Big Name Schools with Big Data Programs.” It was very popular, and why not? In an economic environment where jobs seem to constantly evaporate, data science holds the promise of abundant, great paying jobs for the foreseeable future.
Current IDC estimates say that the big data market is growing at 31.7 percent a year and will be $23.8 billion by 2016. Hadoop alone is at $77 million, says the research group, and at a compound annual growth rate of 60 percent, the firm predicts Hadoop to be $812.8 million by 2016. That’s a lot of jobs to be had for people with the right skills. Filling jobs will skilled candidates is constantly listed as one of the biggest challenges that companies have when implementing big data projects.
One of the most often questions that we get asked is how to get started. The list that we’re compiling here is not exhaustive, but it’s a great place to start for somebody looking for ideas on how to get on the right path towards a job in big data. Let’s begin!
As stated previously, we ran an article last year outlining some of the opportunities that are out there. In case you missed them, here are the six we put the spotlight on so you can check them out before you see the additions:
North Carolina State University – A coastal city with a bold big data view – NCSU has been aggressive in their vision with their Institute for Advanced Analytics. Recently, the National Security Agency announced that they would be establishing the Laboratory for Analytic Sciences adjacent to the Institute.
Stanford University – For students looking to advance into a big data career, Stanford offers a Data Mining and Applications Graduate Certificate, giving a broad-based foundation in an area where a lot of big data application exists. A background in probability and matrix algebra is required for entry.
Northwestern University – Northwestern offers an online Master of Science in Predictive analytics, blending concepts in data management, statistical analysis, as well as communication and leadership. On campus, they offer a Master of Science in Analytics.
Syracuse University – The Syracuse iSchool offers an online Certificate of Advanced Study in Data Science for graduates looking to solidify their big data credentials. Required courses include Data Administration Concepts and Database Management, as well as Applied Data Science.
UCSD – Through their certificate in data mining program, UCSD offers students an opportunity to learn problem solving, statistical thinking, and result interpretation, providing a great foundation in the world of big data.
Stevens Institute of Technology – This little known college focused on science and engineering offers a business intelligence and analytics program for graduates.
With the review in mind, let’s take a look at six more schools which are offering programs to help take the next steps into the age of analytics…
Part of their College of Computing and Digital Media, DePaul is one of the few schools that offers a Master of Science in Predictive Analytics. Students who enroll at DePaul University in Chicago can expect to develop skills in data mining, multivariate statistics, machine learning, and database processing.
The school offers several flavors of predictive analytics concentrations, including the following:
Ongoing research includes areas such as web mining and analytics, probabilistic learning, social computing, graphical modeling, medical imaging and visual computing. Students in this program will be exposed to industry sponsored data analytics projects. Among these projects, it was recently announced that Assistant Professor, Alexander Rasin received an award from IBM for the development of a graduate data mining course based on Apache Hadoop and Mahout.
The DePaul program for predictive analytics can be taken either on campus, or through an online program. In addition to several electives, students are given the option to take classes at DePaul’s Kellstadt School of Business for specific areas of interest.
If you’re ready to throw everything you have to become an analytics whiz, Louisiana State University has a program for you. The LSU Department of Information Systems and Decision Sciences has developed a 36 credit hour, 12 month program that starts in June, and drives their students full-time until they come out in May as a Master of Science in Analytics.
The program is said to focus on using advanced data management tools, including SAS, SQL, R, SPSS, Tableau, and a variety of other tools aimed at giving them the ability to fully utilize their analytics prowess for the purposes of increasing ROI, improving customer retention, reducing fraud, and improving decision making. The program focuses on all manner of analytics and statistical methods, including cluster analysis, data mining, predictive modeling, and more. Industry application areas include finance & insurance, healthcare, hotels & restaurants, distributors, retailers, manufacturers and consulting.
You can see an example of the LSU analytics curriculum here:
The program is competitive – potential students will have to run a gauntlet of pre-requisites, including GRE or GMAT test scores that fall in the top 25%. The next application deadline is March 31, 2014.
Located in Pittsburgh, Carnegie Mellon University’s Heinz College offers a Master of Information Systems Management degree with a Business Intelligence and Data Analytics concentration. The goal of the program, says the college, is to cross train their students in business process analysis as well as skills in predictive modeling, GIS mapping, analytical reporting, segmentation analysis, and data visualization.
Students will gain an abundance of hands on experience through the iLab facilities, an inter-disciplinary research center that blends faculty and students from the Heinz College, the Department of Statistics, Department of Machine Learning, the School of Computer Science, and the Tepper School of business.
Other notable hands on opportunities at Carnegie Mellon include labs such as the Living Analytics Research Center, a joint research initiative with the Singapore Management University aimed at researching behavioral and social network analytics.
The program includes three separate tracks:
Responding to the growing demand for working professionals with big data skills, Texas A&M announced this month that they are offering their newest graduate degree, a Master of Science in Analytics starting this fall. Housed by their Department of Statistics along with the Mays Business School, the program aims to help students understand how to bring meaning to data and communicate it effectively.
The Texas A&M program, designed for working professionals, is a five semester part-time, with classes taking place on Tuesday and Thursday evenings either in person on through their online extension courses. Students can expect to develop skills in statistical modeling and predictive analysis through hands on quantitative analysis projects specific to their employers, as well as data sets garnered through business partnerships.
One such partnership is with the PGA Tour as part of its ShotLink Intelligence program which measures every shot taken in tour events. The school has been given access to the data and will use it for example analysis.
A fledgling program that is expecting to house its first 20 students this fall, the school says that they have received a significant donation from North Carolina-based SAS, well known for their business analytics software.
Before graduating, students will be expected to complete a capstone project which will be a predictive modeling business question done on a large data set.
Another program finding its roots, the University of California, Berkeley’s School of Information announced last month that they will be launching a fully online Master of Information and Data Science degree program through their I School.
The program, which begins in January 2014, will be a 27-unit program aimed at working professionals, and will require a one-week immersion at the I School’s South Hall. Like the Texas A&M program, the program will culminate in a capstone project aimed at the student demonstrating their mastery of the concepts and skills that are the focus of the school.
These skills include everything from machine learning, data storage and retrieval, experimentation, privacy, security, and even ethics.
With classes completely on the web, the program is expecting to limit the student to faculty ration to 15:1, with coursework including lectures, interactive case studies and collaborative assignments. The online nature of the program will be facilitated through 2U Inc.’s online learning management platform.
The W. P. Carey School of Business at Arizona State University (ASU) offers a Master of Science in in Business Analytics for those looking to further their big data credentials.
The program is a full-time, nine month engagement aimed at drilling in the concepts of data-driven analysis, strategic decision-making and business process optimization. Courses include everything from enterprise and applied analytics, data mining, applied regression models, analytical decision making tools, data-driven quality management, and more.
Student can expect to master such concepts as the use of quantitative modeling tools and technique for solving modern supply chain problems, road mapping data-driven decision making, leveraging statistical tool suites to report every flavor of modeling, mining data to extract predictive analytics, business analytics strategy, and more.
All of the programs listed in the pages previous are graduate programs – but what about advice for someone just getting started? Fear not friends, there are great places where you can get a leg up on your path to becoming a data scientist. Here is a short list of schools which offer Bachelor of Arts and Science majors specific to data science and analytics.
College of Charleston – Located in Charleston, SC, undergraduates can work towards a B.S. in Data Science at the College of Charleston.
George Mason University – A student who relocates to Fairfax, VA can pursue a B.S. degree in Computational & Data Sciences, combining applied mathematics, computer science skills, data acquisition and analysis, and scientific modeling.
Illinois Institute of Technology – At the Illinois Institute of Technology, located in Chicago, IL, students can pursue a B.S. in Computer Science with a specialization in Data Science through a joint program called Data Science @ IIT offered by both the Department of Applied Mathematics and the Department of Computer Science.
Northern Kentucky University – Head to Newport, KY, where an undergraduate can get a B.S. degree in Data Science, with course plans that specialize in business analytics or a computation intensive track.
University of Iowa – Head to Des Moines, IA, where an undergraduate student can earn a B.A. in Business Analytics and Information Systems, aimed at solving critical business problems through the use of advanced computation and mathematical techniques.
University of Washington – Predictive analytics in the Pacific Northwest! Undergraduates can get a Certificate in Data Science studying in Seattle, learning everything from statistical and machine learning techniques as well as hands on with Hadoop and MapReduce.
This, of course, is not the “one list to rule them all” in data science schooling, but it does give a good overview on programs that are available on every corner of the United States. We’re happy to hear of other programs that might be out there. Send us your tips at editor [at] Datanami period com.
Six Big Name Schools with Big Data Programs
IBM Narrows Big Data Skills Gap By Partnering With More Than 1,000 Global Universities
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In this study, yield per decare, plant length and oil production rate of sunflowers grown in the city of Bingöl, Turkey, and the elements affecting the plant length were examined using several data mining methods: Chi-square Automatic Interaction Detection (CHAID), Exhaustive CHAID, Classification and Regression Trees (CART), and artificial neural networks like Multi-Layer Perceptrons (MLP) and Radial Basis Function networks (RBF). Yield per decare was affected by oil production, the 1000 grain ratio, and the kernel percentage. Oil production rate was affected by the kernel percentage, plant length, 1000 grain ratio and yield per decare. Plant length was affected by the kernel percentage. These effects were significant. According to the Exhaustive CHAID algorithm used to predict yield per decare, the Pearson correlation coefficient (r), coefficient of determination (R²), adjusted coefficient of determination (Adj. R²), RRMSE, RAE and SD ratio were recorded as 0.915, 0.837, 0.825, 0.00025, 0.060 and 0.403, respectively. The largest average yield per decare (297.643 kg) was obtained from the subgroup consisting of plants whose oil production rate was ≤ 28.040 and grain ratio was > 83.800. According to the CART algorithm used to predict oil production rate (%), r, R², Adj. R², RRMSE, RAE and SD ratio, the results were calculated to be 0.988, 0.976, 0.975, 0.00045, 0.0021 and 0.155, respectively. The largest average oil production rate was obtained from the sub-group consisting of plants whose kernel percentage was > 62.500, whose plant length was >127.500 cm and whose kernel percentage was > 72.250. According to the Exhaustive CHAID algorithm used to predict plant length, r, R², Adj., R², RRMSE, RAE and SD ratio, these were calculated to be 0.942, 0.887, 0.883, 0.00021, 0.029 and 0.335, respectively. The longest average plant length (166.600 cm) was obtained from the subgroup consisting of plants where 69.500 ≤ kernel percentage < 70.800. As a result, the use of Exhaustive CHAID and CART algorithms can be employed in field crops studies to predict some plant characteristics of sunflowers. © 2018, Pakistan Agricultural Scientists Forum. All rights reserved.
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