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000-N08 - IBM InfoSphere Streams Technical Mastery Test v1 - Dump Information

Vendor : IBM
Exam Code : 000-N08
Exam Name : IBM InfoSphere Streams Technical Mastery Test v1
Questions and Answers : 53 Q & A
Updated On : February 15, 2019
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000-N08 Questions and Answers

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000-N08 IBM InfoSphere Streams Technical Mastery Test v1

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000-N08 exam Dumps Source : IBM InfoSphere Streams Technical Mastery Test v1

Test Code : 000-N08
Test Name : IBM InfoSphere Streams Technical Mastery Test v1
Vendor Name : IBM
Q&A : 53 Real Questions

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IBM IBM InfoSphere Streams Technical

FAA, IBM set attractions on real-time network safety | killexams.com Real Questions and Pass4sure dumps

FAA, IBM set points of interest on real-time community safety

task makes use of analytics platform that may admire assaults as they arrive

  • through William Jackson
  • Apr 15, 2010
  • The Federal Aviation Administration is partnering with IBM in a analysis and building software to create a true-time, clever equipment that may recognize on-line attacks while they're forming and thwart them before they are launched.

    “We have become assistance overload” from an increasing variety of warnings and alerts from sensors, firewalls and businesses, such as the U.S. laptop Emergency Readiness team, spoke of FAA spokesman Paul Takemoto. “The challenge is to put this collectively in a means it truly is significant.”

    The gadget would give a first-degree analytics skill that could raise signals to the next degree of human analysis, Takemoto observed. “IT’s not going to replace the human point.”

    connected story:

    quicker networks, closer inspection fend off agile threats

    The heart of the prototype device would be a streaming analytics engine developed by means of IBM to do signals intelligence for the protection department. InfoSphere Streams is a platform for true-time evaluation of dissimilar statistics streams that are delivered at diverse speeds and in distinct codecs, in volumes too enormous to be saved and reviewed, noted David McQueeney, chief expertise officer at IBM U.S. federal business.

    “one of the uses we idea changed into promising for this become cybersecurity,” he said. So IBM approached FAA to collaborate on a prototype.

    however Takemoto stated FAA is confident IBM can be capable of come up with a gadget, the undertaking is exactly R&D at this time. The company and business will work to develop the algorithms mandatory for protection information analysis and define the stage of efficiency and scalability required for a attainable equipment. FAA will then decide even if to proceed with additional building, checking out and deployment.

    Takemoto mentioned the application is not tied to FAA’s next generation Air Transportation device, a long-term effort via FAA to bring air site visitors manage into the twenty first century through changing radar-based information with a satellite-based gadget that would permit pilots to find other aircraft and speak with other pilots and FAA controllers more efficaciously.

    “Our air site visitors control methods are separate from our administrative techniques,” he mentioned.

    the hassle is a component of IBM’s First-of-a-type software, which brings IBM scientists along with consumers in an effort to create industrial products from inventive technologies.

    “All we ask the customer to do is put up some of their best technical components; we pay for the researchers,” McQueeney observed.

    The assignment is anticipated to wrap up late this yr.

    “Cybersecurity seems to be probably the most more entertaining use circumstances” for streaming analytics, McQueeney spoke of. “You usually are under assault for a while earlier than you learn about it. The purpose is to get inner the execution loop” of the attack and disrupt it earlier than it is conducted.

    Organizing an attack requires a fair quantity of heavy lifting. This work frequently is computerized and conducted via command-and-handle channels between malicious servers and compromised computer systems that make up botnets. IBM and FAA hope to create a equipment that can become aware of and appreciate these activities before an attack is launched. applied sciences similar to deep packet inspection can respect and reply to primary patterns, however the new equipment would be in a position to gain knowledge of patterns of behavior from past recreation.

    “These are one of the vital hardest problems in desktop science,” McQueeney stated of giving computers the ability to study. “however here is a platform that lets the computing device scientists spend all of their time on that issue” because the capability to do excessive-speed analysis of streaming information is already accessible.

    InfoSphere Streams is a run-time platform that provides the analytical horsepower. builders will create the application and algorithms to sit on it. “The know-how we're using has a huge volume of computational skill,” McQueeney mentioned.

    concerning the author

    William Jackson is a Maryland-based freelance creator.


    huge records purchaser's e-book, half Two: IBM, SAS, Pentaho and more | killexams.com Real Questions and Pass4sure dumps

    home   →   information administration   →   huge data purchaser's book, part Two: IBM, SAS, Pentaho and greater Posted February 27, 2012 by way of Drew Robb     feedback

    Oracle and SAP have commanded an awful lot of the buzz round massive information with their respective Exalytics and HANA products. however loads of other companies, together with IBM and SAS, present choice approaches to dealing with huge facts.

    partly one of this collection on huge data options, we compared Oracle Exalytics and SAP HANA. but what about the alternate options? SAP and Oracle aren’t the simplest games in town. IBM, SAS, Pentaho, Birst, Terracotta and others are relocating forward with their personal methods to massive information.

    “users face the challenges of analyzing zettabytes of advice and scaling current statistics warehouses and analytics to suit new information forms within massive information,” observed Wayne Kernochan, an analyst at Infostructure buddies.

    A torrential downpour of statistics has corporations involved. A fresh IBM/MIT Sloan management evaluate survey of 3,000 executives found that 60 p.c felt they had extra statistics than they may comfortably use. additional, 71 % of marketing officers admitted their employers had been unprepared to cope with the explosion of huge facts.

    here’s what just a few businesses are doing about it:

    SAS

    SAS turned into doing analytics long before corporations like Oracle and SAP cottoned onto the time period. Now it's taking its savvy into the big information area. Its most fresh product during this arena is SAS high-performance Analytics , in-memory analytic utility that runs on a Teradata or Greenplum appliance.

    “large statistics analytics is an extension of what we've been doing for ages,” spoke of Keith Collins, chief technical officer at SAS. “large facts in and of itself is not the greatest issue, but first rate guidance administration practices are crucial to managing and discovering price in big statistics.”

    different providers are likely to accept as true with huge records as part of a expertise discussion regarding Hadoop, NoSQL and different data processing methods, Collins spoke of. SAS, even so, focuses on the assistance management side by using featuring a methodology and supporting options that allow massive facts to be analyzed, inspite of the storage mechanism or know-how employed.

    “It’s not simply massive statistics, it’s what you do with the statistics to improve resolution making in order to result in company benefit,” Collins referred to. “SAS high-efficiency Analytics helps companies locate value in massive facts, solving difficult problems.”

    Collins talked about SAP HANA makes use of an in-reminiscence database to technique high volumes of transactional records and queries and studies. Oracle Exalytics’ in-reminiscence hardware and utility gadget augments Oracle business intelligence software with data discovery capability. He characterized both as employing reactive query and reporting and providing descriptive records in place of proactive advanced analytics and optimization.

    “It’s the difference between a rear view replicate and knowing what’s down the street,” he observed. “unlike other choices, SAS HPA can function analyses that range from descriptive data and facts summarizations to model building and scoring new information at breakthrough speeds.”

    IBM

    IBM offers a whole lot of big facts analytics products comparable to InfoSphere Streams, company Analytics: Cognos 10 , Cognos customer perception , Netezza MPP data Warehousing , IBM wise Analytics equipment  and IBM SPSS. IBM considers its big records method more customer-focused than SAP HANA, Oracle Exalytics and different competitors. 

    “IBM offers with all points of big information together with statistics in action as well as facts at relaxation, structured and unstructured facts,” observed Leon Katsnelson, IBM director of large statistics Cloud Initiatives. “The IBM platform does not deal with huge statistics as an island and as a substitute permits our purchasers to integrate it with their current business strategies and to increase their existing information warehousing options.”

    furthermore, IBM has a Hadoop-primarily based analytics product called IBM InfoSphere BigInsights. BigInsights software is the outcomes of a 4-12 months effort of greater than 200 IBM analysis scientists and offers a framework for gigantic-scale parallel processing and scalable storage for terabyte to petabyte-degree statistics. It accommodates unstructured text analytics and indexing that enables users to research rapidly changing records formats and types on the fly.

    BigInsights will also be used with software known as InfoSphere Streams that analyzes information getting into a company and displays it for alterations that might also exhibit new patterns or tendencies.  In may additionally IBM introduced enhancements to Streams that make it feasible to research massive facts such as Tweets, video frames, GPS, and sensor and stock market records as much as 350 p.c quicker than earlier than. BigInsights enhances Streams with the aid of applying analytics to a firm's ancient facts in addition to records flowing via Streams.

    Pentaho

    speaking of Hadoop, Pentaho changed into one of the most early avid gamers in the Hadoop/analytics area. In a short while, Hadoop has turn into something of a huge statistics darling – having gained reputation because the underlying good judgment in the back of massive Google analytics programs. everyone, except possibly SAS, is jumping on the Hadoop bandwagon.

    “Most of our conversations about huge information are with companies the use of applied sciences similar to Hadoop and No-SQL databases that are alternatives to Oracle/SAP offerings,” pointed out James Dixon, who holds the unconventional title of Lord of the 1s and 0s at Pentaho. “Oracle Exalytics and SAP HANA products seem to appeal to locked-and-loaded Oracle and SAP purchasers.”

    Noting that SAP claims HANA is three,600 times quicker than standard SAP ERP queries, Dixon’s take is that HANA is for this reason a repair for an SAP performance issue experienced through its clients. “I’m no longer announcing that HANA is not respectable know-how, simply that it wasn’t vital invented to solve time-honored huge facts complications,” he mentioned.

    As for Oracle, he said he had talked to various businesses that have already got all the Oracle database potential they can have the funds for, yet can only shop part of their statistics there and locate it high priced to scale. “These corporations go for Hadoop and the No-SQL databases as a result of they provide scale-out solutions which are more bendy/granular,” he noted.

    web page 1 of 2   |   1 2   |   subsequent

    IBM united states of americahuge information wager with New software, $a hundred Million in research | killexams.com Real Questions and Pass4sure dumps

  • submit
  • On the identical day that IBM (s ibm) handed Microsoft in market cap, large Blue showed how it will experience the increase of massive information to proceed its momentum. IBM introduced a brand new $a hundred million funding for future records analytics along with new features and application geared toward helping enhance facts analysis and new services for IT gurus.

    The information, shared at an event at its Watson research core, highlights the work IBM has performed in assembling a broad portfolio of massive data equipment for enterprise shoppers. It has spent $14 billion in the ultimate 5 years on two dozen acquisitions. more and more, the company sees its future pinned to its capacity to assist customers manipulate and learn from the great quantities of records produced these days.

    advertisement

    The enterprise released 20 new features with 28 analytical equipment designed to help CIOs apply records analysis more readily. there's also new InfoSphere BigInsights and Streams utility that allow shoppers to analyze each structured and unstructured with sub-millisecond response times, enabling businesses to reply with an awful lot greater pace. InfoSphere Streams, which analyzes incoming statistics for patterns and developments, is now capable of analyze Tweets, blog posts, stock market records, GPS guidance and video frames up to 350 instances faster. The BigInsights application, which is in accordance with Hadoop, analyzes and retailers petabyes of statistics, is up to date with new information governance and security aspects together with extra developer tools and less demanding commercial enterprise integration.

    IBM mentioned it become additionally investing $a hundred million to fuel research on huge-scale analytics through advanced application and services.

    The goal is to position all of this analytics work together into equipment that assist companies and shoppers expect the long run, mentioned Steve Mills, senior vice president and group president of IBM software & methods. He talked about corporations are seeking for more advantageous headlights to illuminate where they’re going and where they deserve to go.

    “The more predictive you may also be, the faster that you would be able to circulate, the stronger cost you could extract from your enterprise,” Mills pointed out.

    One key tool in IBM’s transforming into arsenal is Watson, the natural language system that received a lots publicized Jeopardy problem in opposition t former champions. IBM officers on Friday shared extra how the gadget may also be used to aid agencies ingest and analyze data and flesh out intelligent insights. David Ferrucci, IBM fellow and foremost investigator on the Watson/Deep QA undertaking, said Watson’s first job may be in health care, which is becoming because Watson is constructed to tackle counsel in an identical method to how medical doctors narrow down diagnoses for patients. He stated the system very nearly analyzes questions by producing queries against a couple of sources and growing hypotheses that are scored on lots of components.

    Ferrucci said IBM turned into in a position to feed Watson clinical particular area advice and turn it right into a budding medical professional’s assistant after just three months. He observed Watson should be in a position to collaborate with docs, helping surface viable diagnoses, ask for more information and learn from remarks from medical doctors.

    The way forward for Watson within IBM continues to be being sorted out and reflects the new challenges for the company, stated Katherine Frase, vice president of rising technologies and business options. The company is still identifying the way it will combine and match its big statistics equipment with Watson and how much enterprise models and preparations will work for customers. She talked about Watson will get deployed in two or three custom pilot courses this year in fitness care and certain in financial services. nonetheless it’s nevertheless uncertain how Watson will ultimately get offered to clients, as a complete unit, as a modular piece paired with different tools or most likely as a cloud carrier.

    “The issue is what should still we are attempting first and what enterprise state of affairs will we do first?” she pointed out. “He have lots of technical and method work to do. however’s a fine difficulty to have.”

    to hear more about cloud computing and large statistics, take a look at GigaOM’s constitution convention on June 22-23.


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    This year has already been marked as the year of “big data” in the cloud, with major PaaS players, such as Amazon, Google, Heroku, IBM and Microsoft, getting a lot of publicity. But which providers actually offer the most complete Apache Hadoop implementations in the public cloud?

    It’s becoming clear that Apache Hadoop, along with HDFS, MapReduce, Hive, Pig and other subcomponents, are gaining momentum for big data analytics as enterprises increasingly adopt Platform as a Service (PaaS) cloud models for enterprise data warehousing. To indicate Hadoop has matured and is ready for use in production analytics cloud environments, the Apache Foundation upgraded to Hadoop v1.0.

    The capability to create highly scalable, pay-as-you-go Hadoop clusters in providers’ data centers for batch processing with hosted MapReduce processing allows enterprise IT departments to avoid capital expenses for on-premises servers that are used sporadically. As a result, Hadoop has become de rigueur for deep-pocketed PaaS providers -- Amazon, Google, IBM and Microsoft -- to package Hadoop, MapReduce or both as prebuilt services.

    AWS Elastic MapReduceAmazon Web Services (AWS) was first out of the gate with Elastic MapReduce (EMR) in April 2009. EMR handles Hadoop cluster provisioning, runs and terminates jobs and transfers data between Amazon EC2 and Amazon S3 (Simple Storage Service). EMR also offers Apache Hive, which is built on Hadoop for data warehousing services.

    EMR is fault tolerant for slave failures; Amazon recommends running only the Task Instance Group on spot instances to take advantage of the lower cost while still maintaining availability. However, AWS didn’t add support for spot instances until August 2011.

    Amazon applies surcharges of $0.015 per hour to $0.50 per hour for EMR to its rates for Small to Cluster Compute Eight Extra Large EC2 instances. According to AWS: Once you start a job flow, Amazon Elastic MapReduce handles Amazon EC2 instance provisioning, security settings, Hadoop configuration and set-up, log collection, health monitoring and other hardware-related complexities, such as automatically removing faulty instances from your running job flow. AWS recently announced free CloudWatch metrics for EMR instances (Figure 1).

    Google AppEngine-MapReduce According to Google developer Mike Aizatskyi, all Google teams use MapReduce, which it first introduced in 2004. Google released an AppEngine-MapReduce API as an “early experimental release of the MapReduce API” to support running Hadoop 0.20 programs on Google App Engine. The team later released low-level files API v1.4.3 in March 2011 to provide a file-like system for intermediate results for storage in Blobs and improved open-source User-Space Shuffler functionality (Figure 2).

    The Google AppEngine-MapReduce API orchestrates the Map, Shuffle and Reduce operations via a Google Pipeline API. The company decribed AppEngine-MapReduce’s current status in a video presentation for I/O 2012. However, Google hadn’t changed the “early experimental release” description as of Spring 2012. AppEngine-MapReduce is targeted at Java and Python coders, rather than big data scientists and analytics specialists. Shuffler is limited to approximately 100 MB data sets, which doesn’t qualify as big data. You can request access to Google’s BigShuffler for larger data sets.

    Heroku Treasure Data Hadoop add-onHeroku’s Treasure Data Hadoop add-on enables DevOps workers to use Hadoop and Hive to analyze hosted application logs and events, which is one of the primary functions for the technology. Other Heroku big data add-ons include Cloudant’s implementation of Apache CouchBase, MongoDB from MongoLab and MongoHQ, Redis To Go, Neo4j (public beta of a graph database for Java) and RESTful Metrics. AppHarbor, called by some “Heroku for .NET,” offers a similar add-on lineup with Cloudant, MongoLab, MongoHQ and Redis To Go, plus RavenHQ NoSQL database add-ins. Neither Heroku nor AppHarbor host general-purpose Hadoop implementations.

    IBM Apache Hadoop in SmartCloudIBM began offering Hadoop-based data analytics in the form of InfoSphere BigInsights Basic on IBM SmartCloud Enterprise in October 2011. BigInsights Basic, which can manage up to 10 TB of data, is also available as a free download for Linux systems; BigInsights Enterprise is a fee-based download. Both downloadable versions offer Apache Hadoop, HDFS and the MapReduce framework, as well as a complete set of Hadoop subprojects. The downloadable Enterprise edition includes an Eclipse-based plug-in for writing text-based analytics, spreadsheet-like data discovery and exploration tools as well as JDBC connectivity to Netezza and DB2. Both editions provide integrated installation and administration tools (Figure 3).  

    My Test-Driving IBM’s SmartCloud Enterprise Infrastructure as a Service: Part 1 and Part 2 tutorials describe the administrative features of a free SmartCloud Enterprise trial version offered in Spring 2011. It’s not clear from IBM’s technical publications what features from downloadable BigInsight versions are available in the public cloud. Their Cloud Computing: Community resources for IT professionals page lists only one BigInsights Basic 1.1: Hadoop Master and Data Nodes software image; an IBM representative confirmed the SmartCloud version doesn’t include MapReduce or other Hadoop subprojects. Available Hadoop tutorials for SmartCloud explain how to provision and test a three-node cluster on SmartCloud Enterprise. It appears IBM is missing elements critical for data analytics in its current BigInsights cloud version.Microsoft Apache Hadoop on Windows AzureMicrosoft hired Hortonworks, a Yahoo! spinoff that specializes in Hadoop consulting, to help implement Apache Hadoop on Windows Azure, or Hadoop on Azure (HoA). HoA has been in an invitation-only community technical preview (CTP or private beta) stage since December 14, 2011.

    Before joining the Hadoop bandwagon, Microsoft relied on Dryad, a graph database developed by Microsoft Research, and a High-Performance Computing add-in (LINQ to HPC) to handle big data analytics. The Hadoop on Azure CTP offers a choice of predefined Hadoop clusters ranging from Small (four computing nodes with 4 TB of storage) to Extra Large (32 nodes with 16 TB), simplifing MapReduce operations. There’s no charge to join the CTP for prerelease compute nodes or storage.

    Microsoft also provides new JavaScript libraries to make JavaScript a first-class programming language in Hadoop. This means JavaScript programmers can write MapReduce programs in JavaScript and run these jobs from Web browsers, which reduces the barrier to Hadoop/MapReduce entry. The CTP also includes a Hive add-in for Excel that lets users interact with data in Hadoop. Users can issue Hive queries from the add-in to analyze unstructured data from Hadoop in the familiar Excel user interface. The preview also includes a Hive ODBC Driver that integrates Hadoop with other Microsoft BI tools. In a recent blog post on Apache Hadoop Services for Windows Azure, I explain how to run the Terasort benchmark, one of four sample MapReduce jobs (Figure 4).

    HoA is due for an upgrade in the “Spring Wave” of new and improved features scheduled for Windows Azure in mid-2012. The upgrade will enable the HoA team to admit more testers to the CTP and probably include a promised Apache Hadoop on Windows Server 2008 R2 for on-premises or private cloud and hybrid cloud implementations. Microsoft has aggressively reduced charges for Windows Azure compute instances and storage during late 2011 and early 2012; pricing for Hadoop on Azure’s release version probably will be competitive with Amazon Elastic MapReduce.

    Big data will mean more than Hadoop and MapReduceI agree with Forrester Research analyst James Kobielus, who blogged, “Within the big data cosmos, Hadoop/MapReduce will be a key development framework, but not the only one.” Microsoft also offers its Codename “Cloud Numerics” CTP for the .NET Framework, which allows DevOps teams to perform numerically intensive computations on large distributed data sets in Windows Azure.

    Microsoft Research has posted source code for implementing Excel cloud data analysis in Windows Azure with its Project “Daytona” iterative MapReduce implementation. However, it appears open source Apache Hadoop and related subprojects will dominate cloud-hosted scenarios for the foreseeable future.

    PaaS providers who offer the most automated Hadoop, MapReduce and Hive implementations will gain the greatest following of big data scientists and data analytics practitioners. Microsoft provisioning the Excel front end for business intelligence (BI) applications gives the company’s big data offerings a head start among the growing number of self-service BI users. Amazon and Microsoft currently provide the most complete and automated cloud-based Hadoop big data analytics services.

    Roger Jennings is a data-oriented .NET developer and writer, a Windows Azure MVP, principal consultant of OakLeaf Systems and curator of the OakLeaf Systems blog. He's also the author of 30+ books on the Windows Azure Platform, Microsoft operating systems (Windows NT and 2000 Server), databases (SQL Azure, SQL Server and Access), .NET data access, Web services and InfoPath 2003. His books have more than 1.25 million English copies in print and have been translated into 20+ languages.


    Why Self-Organization Demands a New Reality | @ExpoDX #DX #ML #Agile | killexams.com real questions and Pass4sure dumps

    Why Self-Organization Demands a New RealityGuest post by Intellyx Principal Analyst Charles Araujo

    "This all sounds great. But it's just not realistic."

    This is what a group of five senior IT executives told me during a workshop I held not long ago. We were working through an exercise on the organizational characteristics necessary to successfully execute a digital transformation, and the group was doing their ‘readout.'

    The executives loved everything we discussed and agreed that if such an environment existed, it would make transformation much easier. They just didn't believe it was realistic.

    Our job as analysts is not only to observe the world as it exists, but also to paint an aspirational picture of how it might be.

    As a result, we spend a lot of time and commit a lot of digital ink to discussing emerging technologies and approaches, and their potential impact on how organizations will operate and function.

    In many cases, the mere act of examining an emerging trend and exploring its potential implications is enough to help our readers see things in a different light and begin to imagine a different future.

    Some areas are more difficult than others to tackle - and some meet with outright resistance. And the topic that seems to meet the most resistance now may also be the most important: self-organization.

    The Self-Organization ChallengeAs we examine the many facets of digital transformation, we must also explore the mindset shifts necessary to make this transition.

    One of those shifts is the need to move from the slow-moving and bureaucracy-laden hierarchical models of the industrial age to the self-organizing management models that the digital era requires.

    Jason Bloomberg, president of Intellyx, in fact, devotes a significant portion of his forthcoming book, Agile Digital Transformation, to this topic and we dedicate a lot of space in the Cortex and our articles for Forbes and our blog to helping business and IT executives understand the importance of this shift.

    Nevertheless, the move towards self-organization appears to be an idea that executives just can't seem to get their head around.

    During that same workshop, two separate executives pulled me aside and questioned my call to embrace the flattening of the organizational model and the need for self-organizing teams.

    "Some people - most people, really - don't want to make decisions or take control," one executive told me. "They just want to be told what to do."

    As anyone who has ever held a management position knows, there is a lot of truth to this statement - at least on the surface. It can indeed seem that employees are unwilling to stand up and step forward. For a hard-charging and change-minded executive, it can be very frustrating.

    But it is not a lack of desire that causes this apparent lack of ambition. Instead, it is a lack of faith that things will actually change which results in employees' unwillingness to take the initiative and assert control. Why put yourself out there, the thinking goes, if this is just another in a long line of management trends du jour.

    This unwillingness of teams to take the initiative, however, will be the death knell of any self-organizing effort. To overcome this challenge, therefore, executives need to step back and recognize that to achieve this vision of self-organization - which will be critical to their transformational efforts - they must create a new reality.

    Innovation's and Self-Organization's Common DilemmaThere are two forces at play, however, that hold organizations back from transforming their culture and creating a new reality that will be conducive to self-organization - and which wildly popular business books have already well documented.

    In 1997, Harvard Business School professor, Clayton Christensen, released one of the most influential business book ever written, The Innovator's Dilemma. Yet twenty years later, many organizations are still unable to overcome the dilemma.

    In his book, Christensen explains that large enterprises fail to innovate not because they do not recognize the innovation or because they are unable to re-organize around it. Instead, he reveals, executives have built their incumbent enterprises to maximize value and meet ever-increasing growth demands - and innovations, in that context, fail to meet return-on-investment (ROI) expectations and so are left to languish.

    In effect, the very systems that enable large enterprise organizations to flourish and grow also ensure that they will undervalue and disregard the innovations that will ultimately disrupt them.

    Self-organizing initiatives run into precisely this headwind. While executives may recognize their inherent value and promise to help meet the rising demands of the digital era, these self-organizing management models introduce high levels of risk and do not guarantee the kind of ROI that corporate management models expect. As a result, executives may dabble and experiment, but they otherwise resist the full-throated embrace of self-organization that digital transformation demands.

    But even if an executive musters the courage to pursue self-organization, they run into the second force of resistance: apathetic teams.

    Misaligned Motivators Undermine Self-OrganizationThe corporate structure of the industrial age was purpose-built to turn employees into replaceable cogs in the corporate machine. Reliability, repeatability, and consistency have been the most valuable employee traits for generations.

    While organizations have always paid lip service to the value of ingenuity, ambition, and risk-taking (at least over the last thirty or forty years), the reality is that these traits only served you as long as everything worked out in the end. As soon as things turned sour, that ingenious, ambitious and risk-taking employee was often looking for employment elsewhere.

    Conventional wisdom was that employees responded best to positive/negative reinforcement models - the proverbial carrot and stick. And, as we all know, we are much more likely to want to avoid the stick rather than to pursue the carrot. As a result, the industrial age created generations of risk-adverse employees who were trained to keep their heads down and to go-along to get-along.

    Daniel Pink exposed the fallacy of this approach for the modern era in his 2009 book, Drive. In it, he explained that while extrinsic motivators (carrots and sticks) may be useful for routine, repeatable tasks, they were woefully ineffective for jobs that required cognitive skills, decision-making, creativity, or higher-order thinking.

    For these tasks, employees require intrinsic motivators that he defined as autonomy, mastery, and purpose. It is, therefore, not surprising that so many executives find a seemingly unmotivated, unambitious staff. Unless and until organizations remove the extrinsic motivators (particularly the sticks) and replace them with intrinsic motivators, self-organization will remain a pipe dream.

    The Intellyx TakeDigital transformation is a big, hairy quagmire of a business challenge. It represents an effort that will likely define the success - or failure - of an executive's career.

    As a result, many would-be transformative leaders blink and, rather than pursue true transformation, instead settle for incremental change dressed up in the language of digital transformation.

    These executives point to the intractability of their corporate culture, the rigidity of their organizational processes and procedures and the unwillingness of their employees as the reasons they cannot execute real, transformational change by adopting self-organizing models.

    While the challenges are real, they are also well understood. It is not a lack of knowledge or capability that stops organizations from adopting these new models. It is merely the lack of courage to create the new reality that embraces innovation, creates space for new approaches and provides their employees the freedom to experiment.

    Fully embracing self-organization is a considerable risk, to be sure. But the risk of not acting is even greater and growing every day.

    Copyright © Intellyx LLC. Intellyx publishes the Agile Digital Transformation Roadmap poster, advises companies on their digital transformation initiatives, and helps vendors communicate their agility stories. As of the time of writing, none of the organizations mentioned in this article are Intellyx customers.

    DXWorldEXPO LLC, the producer of the world's most influential technology conferences and trade shows has announced the conference tracks for CloudEXPO | DXWorldEXPO 2018 New York.

    DXWordEXPO New York 2018, colocated with CloudEXPO New York 2018 will be held November 11-13, 2018, in New York City.

    Digital Transformation (DX) is a major focus with the introduction of DXWorldEXPO within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term.

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    DXWorldEXPO | CloudEXPO 2018 New York cover all of these tools, with the most comprehensive program and with 222 rockstar speakers throughout our industry presenting 22 Keynotes and General Sessions, 200 Breakout Sessions along 10 Tracks, as well as our signature Power Panels. Our Expo Floor brings together the world's leading companies throughout the world of Cloud Computing, DevOps, FinTech, Digital Transformation, and all they entail.

    As your enterprise creates a vision and strategy that enables you to create your own unique, long-term success, learning about all the technologies involved is essential. Companies today not only form multi-cloud and hybrid cloud architectures, but create them with built-in cognitive capabilities.

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    FinTech Is Now Part of the DXWorldEXPO | CloudEXPO Program!

    Financial enterprises in New York City, London, Singapore, and other world financial capitals are embracing a new generation of smart, automated FinTech that eliminates many cumbersome, slow, and expensive intermediate processes from their businesses.

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    More than US$20 billion in venture capital is being invested in FinTech this year. DXWorldEXPO | CloudEXPO are pleased to bring you the latest FinTech developments as an integral part of our program.

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    Attend DXWorldEXPO | CloudEXPO. Build your own custom experience. Learn about the world's latest technologies and chart your course to Digital Transformation.

    22nd International DXWorldEXPO | CloudEXPO, taking place November 11-13, 2018, in New York City, will feature technical sessions from a rock star conference faculty and the leading industry players in the world.

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    Cloud computing is now being embraced by a majority of enterprises of all sizes. Yesterday's debate about public vs. private has transformed into the reality of hybrid cloud: a recent survey shows that 74% of enterprises have a hybrid cloud strategy. Meanwhile, 94% of enterprises are using some form of XaaS - software, platform, and infrastructure as a service.

    With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation.

    Every Global 2000 enterprise in the world is now integrating cloud computing in some form into its IT development and operations. Midsize and small businesses are also migrating to the cloud in increasing numbers.

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    Companies are each developing their unique mix of cloud technologies and services, forming multi-cloud and hybrid cloud architectures and deployments across all major industries. Cloud-driven thinking has become the norm in financial services, manufacturing, telco, healthcare, transportation, energy, media, entertainment, retail and other consumer industries, and the public sector.

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    AJAXWorld Keynote Speaker on the Risks and Rewards of RIAs | killexams.com real questions and Pass4sure dumps

    Anthony Franco's BlogOn March 20 at AJAXWorld 2008 East, Anthony Franco, UX & UI Expert, President of Effective User Interface will be keynoting on RIA Adoption in 2008 – Risks, Rewards, Challenges and Opportunities.

    Last year, the overall demand for RIAs outpaced the qualified supply chain. This trend will continue in 2008. While last year brought unprecedented growth in RIA adoption— especially by Fortune 500 companies—RIA adoption in 2008 brings a new onslaught of risks, rewards, challenges, and opportunities for companies of all sizes.

    This year, companies facing both job growth and decline will need to continue to leverage innovative, usable RIAs to hone their competitive edge to outpace their competition and improve core business practices with fast, reliable, productivity-enhancing internal and external tools. However, building and deploying effective RIAs is not something companies can jump into with blind assumptions.

    Without the right leadership at the helm and the right team in the trenches, the world of RIAs is fraught with risk that can cost dearly. The flip side of the coin is that good RIAs can provide your customers with user experiences that leave your competition in the dust. If you keep the following risks and rewards front of mind, you can turn the 2008 RIA challenge into successful opportunities.

    Risk #1: Developer inexperienceReward: RIAs that work result in user adoptionSince many underlying RIA technologies are still emerging, finding developers with the appropriate level of experience can be tough. Thinking that you can find good Java or .Net developers immediately turn them into expert Flex or Silverlight developers is not good thinking. Inherent to these powerful new frameworks are challenges that require mastery of the technologies. Rich client applications differ greatly from server, HTML, or desktop applications and require very certain development expertise. Beware the typical developer optimistic mindset that believes problem-solving skills are platform independent.

    Risk #2 : Designer inexperienceReward: Well-designed RIAs make people want to use themThe gap between sexy and usable is huge and dangerous. A great print or web designer is not necessarily a great application designer, especially not right out of the gate. It takes a considerable shift of discipline and time on the front for designers to transition from page based metaphors to RIA necessities such as features, tasks, hierarchical navigation schemes, and transitional animations. Oddly, understanding how to leverage new technologies like AIR and Silverlight means that designers may have to unlearn some of what they have relied on in the past as successful solutions.

    Forrester Research stat: 70 to 80 percent of all IT projects fail. The number one reason why they fail is a lack of user acceptance, not technical issues (caveat: user acceptance may be poor simply because an application just doesn’t work). An effective RIA designer who respects user input and usability measurement studies will dramatically mitigate the failure rate of an IT project. Look for RIA designers with experience and/or education in human factors.

    Risk #3: Poor hiresReward: Powerful designer/developer collaborationManagers may see the words "Flex experience" on a resume and assume that, in-and-of-itself, Flex experience makes the candidate qualified. Differentiating between experience and quality is very hard for an IT manager to assess since they may have not yet seen what a good RIA developer really looks like. The same premise holds true for design talent. Hiring the wrong developer or designer obviously will likely point to costly disaster on any project.

    Consider outsourcing to proven experts. Or build teams consisting of blended internal and external talent and give them prudent product management guidance. 

    Risk #4: Lack of process and cultureReward: Integrated workflow and new behaviorsLet’s say that you lucked out and put together a great team. Now you have to get them to collaborate. Establishing the right culture to enable the team to work together is critical to the success of creating engaging applications. It takes a delicate combination of humility, passion, confidence, knowledge, process, and realism to execute against business and user requirements.

    Also, carefully consider reporting structures. Should the designer sit in Marketing? IT? Companies trying to build effective teams may be challenged by traditional organizational and hierarchical silos and boundaries to get the right people in the right room with the right priorities and agendas.

    Risk #5: Messaging from platform providersReward: Great news across the boardBoth Adobe and Microsoft have emerging RIA platforms (AIR/Flex/Flash and Silverlight respectively). While the hype for Silverlight is hitting stride, currently the Adobe Flash/Flex/AIR platform is the way to go for most robust online applications. Microsoft’s roadmap is very exciting, and I believe that we will see some great moves forward on their platform in the next 12 months. However, the Silverlight runtime just does not offer enough functionality or the ubiquitous reach that the Flash Player does.

    The opportunity, no matter the platform, is abundant. Microsoft entering the RIA game is great news for everyone, even Adobe. They have helped to validate that RIAs are the future of how companies will engage, inform, retain, and entertain, their customers.

    Risk #6: RIA providers on overloadReward: Consistent home runsMany providers in the RIA space are growing more rapidly than they can realistically support— flirting with implosion and growth rates of 1,000 percent and higher. Without dedicated, qualified team members in place, RIA providers have no business taking on work just to take on work. If you come across an RIA provider who has people available immediately, beware. At EffectiveUI, we would rather turn away work than fatigue or dilute our human resources.

    Risk #7: Inadequate budgetsReward: Proving the value of an RIAThe return on investing into a great RIA—even a simple one— can be astounding. Applying the same budget approach as you would, for example, a micro site or an HTML calculator is not the model to follow. Find guidance and build your case. Deploying an application that is truly going to engage users and deliver a measurable ROI requires appropriate budgeting of dollars and time.

    Risk #8: Inappropriate intentionReward: Focused discipline for the jobHiring your advertising agency to build a critical business application is like asking your interior designer to engineer a new building. While both disciplines are important and somewhat related, they absolutely require pinpointed expertise and focus. Make sure that the person or company you engage to build your RIA understands and respects the difference.



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