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  • CRM@Oracle Series: CRM Analytics

    - by tony.berk
    What is the most important factor that leads to a successful CRM deployment? Is it the overall strategy, strong governance, defined processes or good data quality? Well, it's definitely a combination of all these, but the most important differentiator from our experience is Business Intelligence. Business Intelligence or Analytics is commonly mentioned as a key aspect to successful CRM and other enterprise deployments. The good news is that Oracle provides pre-built analytics dashboards, which provide real-time, actionable insight, and tools to build custom analyses. However, success with analytics, especially in a large enterprise, still requires a strong strategy, clean data for analysis, and performance. Today's CRM@Oracle slidecast covers Oracle's strategy, architecture and key success factors for deploying CRM Analytics internally at Oracle. CRM@Oracle: CRM Analytics Click here to learn more about Oracle CRM products and here to learn about Oracle Business Intelligence Applications. Have you read our other postings in the CRM@Oracle Series? If you have a particular CRM area or function which you'd like to hear how Oracle implemented it internally, post a comment and we'll get it on our list.

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  • Microeconomical simulation: coordination/planning between self-interested trading agents

    - by Milton Manfried
    In a typical perfect-information strategy game like Chess, an agent can calculate its best move by searching the state tree for the best possible move, while assuming that the opponent will also make the best possible move (i.e. Mini-max). I would like to use this approach in a "game" modeling economic activity, where the possible "moves" would be to buy or sell for a given price, and the goal, rather than a specific class of states (e.g. Checkmate), would be to maximize some function F of the agent's state (e.g. F(money, widget) = 10*money + widget). How to handle buy/sell actions that require coordination between both parties, at the very least agreement upon a price? The cheap way out would be to set the price beforehand, maybe based upon the current supply -- but the idea of this simulation is to examine how prices emerge when freely determined by "perfectly rational" agents. A great example of what I do not want is the trading algorithm in SugarScape -- paraphrasing from Growing Artificial Societies p101-102: when a pair of agents interact to trade, they each compute their internal valuations of the goods, then a bargaining process is conducted and a price is agreed to. If this price makes both agents better off, they complete the transaction The protocol itself is beautiful, but what it cannot capture (as far as I can tell) is the ability for an agent to pay more than it might otherwise for a good, because it knows that it can sell it for even more at a later date -- what appears to be called "strategic thinking" in this pape at Google Books Multi-Agent-Based Simulation III: 4th International Workshop, MABS 2003... to get realistic behavior like that, it seems one would either (1) have to build an outrageously-complex internal valuation system which could at best only cover situations that were planned for at compile-time, or otherwise (2) have some mechanism to search the state tree... which would require some way of planning future trades. Note: The chess analogy only works as far as the state-space search goes; the simulation isn't intended to be "zero sum", so a literal mini-max search wouldn't be appropriate -- and ideally, it should work with more than two agents.

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  • Java - Using Linear Coordinates to Check Against AI [closed]

    - by Oliver Jones
    I'm working on some artificial intelligence, and I want my AI not to run into given coordinates as these are references of a wall/boundary. To begin with, every time my AI hits a wall, it makes a reference to that position (x,y). When it hits the same wall three times, it uses linear check points to 'imagine' there is a wall going through these coordinates. I want to now prevent my AI from going into that wall again. To detect if my coordinates make a straight line, i use: private boolean collinear(double x1, double y1, double x2, double y2, double x3, double y3) { return (y1 - y2) * (x1 - x3) == (y1 - y3) * (x1 - x2); } This returns true is the given points are linear to one another. So my problems are: How do I determine whether my robot is approaching the wall from its current trajectory? Instead of Java 'imagining' theres a line from 1, to 3. But to 'imagine' a line all the way through these linear coordinantes, until infinity (or close). I have a feeling this is going to require some confusing trigonometry? (REPOST: http://stackoverflow.com/questions/13542592/java-using-linear-coordinates-to-check-against-ai)

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  • Some Insight on the Field of Knowledge Representations and Reasoning

    - by picmate
    I started following an MS in computer sciences after about two years of work for a software company. I worked primarily in data warehousing and business intelligence related software development during my previous occupation. There is a high chance for me to select a research in knowledge representations, ontologies and reasoning, as there are no other research available in any other interesting fields, such as pattern recognition and navigation. I developed an interest towards knowledge representation with what I learnt from the courses I am taking currently. But I do not have a deep understanding of it in terms of which areas such a field would have an impact in a real life scenario, and how it will help me when I am hunting for a job in the near future. Some thought about this would be greatly appreciated.

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  • Some Insight on the Field of Knowledge Representations

    - by picmate
    I started following an MS in computer sciences after about two years of work for a software company. I worked primarily in data warehousing and business intelligence related software development during my previous occupation. There is a high chance for me to select a research in knowledge representations, ontologies and reasoning, as there are no other research available in any other interesting fields, such as pattern recognition and navigation. I developed an interest towards knowledge representation with what I learnt from the courses I am taking currently. But I do not have a deep understanding of it in terms of which areas such a field would have an impact in a real life scenario, and how it will help me when I am hunting for a job in the near future. Some thought about this would be greatly appreciated.

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  • 24 hours of PASS is back!

    - by Sergio Govoni
    The most important free on-line event on SQL Server and Business Intelligence is back! The 24 Hours of PASS is coming back with a great edition fully based on the new features of SQL Server 2014. What could you aspect from the next PASS Summit? Find it out on June 25, 2014 (12:00 GMT) on 24 Hours of PASS: SQL Server 2014! Register now at this link. No matter from what part of the world you will follow the event, the important thing is to know that it will be 24 hours of continuous training on SQL Server and Business Intelligence.

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  • Artificial neural network

    - by naveena
    hai this is naveena My guide given a simple example to solve in artificial neural network and PSO If any body help then i m very happy the example is `A B C a1 b1 c1 a2 b2 c2 how i have to solve manually i cannot understand plz any help me and send a mail to this id plz [email protected]

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  • how to write an artificial request.

    - by Bunny Rabbit
    how can i construct a artificial request to login to twitter or any site for that matter that accpets post forms. what i've been trying is to extract the headers and post request parameters from the origional request(directed at the action atribute of the form) and copy it to the outgoing url object that i am making.but it just won't work. And i am aware of the apis and i don't wanna use them i am trying this to write a web proxy site.

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  • SQLAuthority News – Free eBook Download – Introducing Microsoft SQL Server 2008 R2

    - by pinaldave
    Microsoft Press has published FREE eBook on the most awaiting release of SQL Server 2008 R2. The book is written by Ross Mistry and Stacia Misner. Ross is my personal friend and one of the most active book writer in SQL Server Domain. When I see his name on any book, I am sure that it will be high quality and easy to read book. The details about the book is here: Introducing Microsoft SQL Server 2008 R2, by Ross Mistry and Stacia Misner The book contains 10 chapters and 216 pages. PART I   Database Administration CHAPTER 1   SQL Server 2008 R2 Editions and Enhancements CHAPTER 2   Multi-Server Administration CHAPTER 3   Data-Tier Applications CHAPTER 4   High Availability and Virtualization Enhancements CHAPTER 5   Consolidation and Monitoring PART II   Business Intelligence Development CHAPTER 6   Scalable Data Warehousing CHAPTER 7   Master Data Services CHAPTER 8   Complex Event Processing with StreamInsight CHAPTER 9   Reporting Services Enhancements CHAPTER 10   Self-Service Analysis with PowerPivot More detail about the book is listed here. You can download the ebook in XPS format here and in PDF format here. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Business Intelligence, Pinal Dave, SQL, SQL Authority, SQL Download, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority News, T SQL, Technology

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  • Back from Teched US

    - by gsusx
    It's been a few weeks since I last blogged and, trust me, I am not happy about it :( I have been crazily busy with some of our projects at Tellago which you are going to hear more about in the upcoming weeks :) I was so busy that I didn't even have time to blog about my sessions at Teched US last week. This year I ended up presenting three sessions on three different tracks: BIE403 | Real-Time Business Intelligence with Microsoft SQL Server 2008 R2 Session Type: Breakout Session Real-time business...(read more)

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  • Tellago speaks about Business Intellligence with SQL Server 2008 R2

    - by gsusx
    At Tellago , we always try to stay in the frontlines of technology that can enhance our solution development practices. This year we are putting a lot of emphasis on business intelligence and in particular the new set of BI technologies such as Microsoft's PowerPivot, Master Data Services and StreamInsight that are scheduled to be release with SQL Server 2008 R2. In the last few weeks we have been working closely with different Microsoft field offices to coordinate a series of customers events that...(read more)

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  • Letölthetoek a HOUG 2010 Konferencia eloadásai

    - by Fekete Zoltán
    2010. március 22-24. között zajlott le a HOUG Konferencia 2010. Már letölthetoek az eloadás anyagok a http://www.houg.hu/ oldalról az Archívum-ra, majd a HOUG 2010-re kattintva. A konferencián készült fényképek még nem kerültek fel, de reménykedjünk, hogy kisvártatva elénk tárulnak. :) Az Üzleti intelligencia és adattárház szekció (Business Intelligence & Data Warehouse) eloadásai itt érheto el. Jó mazsolázást kívánok!

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  • Tellago announces SQL Server 2008 R2 BI quick adoption programs

    - by gsusx
    During the last year, we (Tellago) have been involved in various business intelligence initiatives that leverage some emerging BI techniques such as self-service BI or complex event processing (CEP). Specifically, in the last few months, we have partnered with Microsoft to deliver a series of events across the country where we present the different technologies of the SQL Server 2008 R2 BI stack such as PowerPivot, StreamInsight, Ad-Hoc Reporting and Master Data Services. As part of those events...(read more)

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  • Is it possible to predict future using machine learning and/or AI?

    - by Shekhar
    Recently I have started reading about machine learning. From 3000 feet view, machine learning seems really great thing but as if now I have found that machine learning is limited to only 3 types of algorithms namely classification, clustering and recommendations. I would like to know if my assumption about types of machine learning algorithms is correct or not and What is the extreme thing which we can do using machine learning and/or AI? Is it possible to predict future (same way we predict weather) using AI and/or machine learning?

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  • Discoverer 11.1.1.4 Certified with E-Business Suite

    - by Steven Chan
    Oracle Business Intelligence Discoverer is an ad-hoc query, reporting, analysis, and Web-publishing tool that allows end-users to work directly with Oracle E-Business Suite OLTP data.Discoverer 11g (11.1.1.4) is now certified with Oracle E-Business Suite Release.  Discoverer 11.1.1.4 is part of Oracle Fusion Middleware 11g Release 1 Version 11.1.1.4.0, also known as FMW 11g Patchset 3.  Certified E-Business Suite releases are:EBS Release 11i 11.5.10.2 + ATG RUP 7 and higherEBS Release 12.0.6 and higherEBS Release 12.1.1 and higher

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  • what languages are used in AI research today?

    - by aaa
    hi. I am currently dabbling in expert systems, emacs lisp, and reading up about artificial intelligence. Traditionally, artificial intelligence is associated with LISP and expert systems with CLIPS. However, I have noticed in computational sciences how much Python is being used. What about the area of artificial intelligence and machine learning? is it still been dominated by LISP? how much is python being used in AI? are any of the newer functional languages, clojure for example, being used in research? in the area of expert systems, which shells are most used/popular today? are there any interesting developments language wise which you know of? Thanks a lot

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  • Identifying languages used by particular industries

    - by user66146
    I am new to programming and I don't know the differences between the major languages. I desperately want to get into the gaming industry because I have so many stories I want to tell and so many experiences I want to create. I currently do 3D modeling/animation, so any similarities would be helpful. What steps should I take to investigate an industry (gaming) and the companies within that industry? How do I identify what programming languages they use, so I can study them?

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  • Watson Ties Against Human Jeopardy Opponents

    - by ETC
    In January we showed you a video of Waton in a practice round against Jeopardy champions Ken Jennings and Brad Rutter. Last night they squared off in a real round of Jeopardy with Watson in a tie with Rutter. Watson held his own against the two champions leveraging the 90 IBM Power 750 servers, 2,880 processors, and the 16TB of memory driving him to his full advantage. It was impressive to watch the round unfold and to see where Watson shined and where he faltered. Check out the video below to footage of Watson in training and then in action on Jeopardy. Pay special attention to the things that trip him up. Watson answers cut and dry questions with absolute lighting speed but stumbles when it comes to nuances in language–like finis vs. terminus in the train question that Jennings answered correctly. Watch Part 2 of the video above here. Latest Features How-To Geek ETC Internet Explorer 9 RC Now Available: Here’s the Most Interesting New Stuff Here’s a Super Simple Trick to Defeating Fake Anti-Virus Malware How to Change the Default Application for Android Tasks Stop Believing TV’s Lies: The Real Truth About "Enhancing" Images The How-To Geek Valentine’s Day Gift Guide Inspire Geek Love with These Hilarious Geek Valentines MyPaint is an Open-Source Graphics App for Digital Painters Can the Birds and Pigs Really Be Friends in the End? [Angry Birds Video] Add the 2D Version of the New Unity Interface to Ubuntu 10.10 and 11.04 MightyMintyBoost Is a 3-in-1 Gadget Charger Watson Ties Against Human Jeopardy Opponents Peaceful Tropical Cavern Wallpaper

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