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IBM has introduced a host of AI-powered outfit to its BI platform, Cognos Analytics, to enable greater advanced analytics,...

whereas at the equal time making the platform simpler for buyers to use, the company referred to.

the modern Cognos Analytics 11.1 platform features encompass an AI assistant, pattern detection, visualization recommendations, more suitable storytelling tools, and greater advanced analytics and predictive analytics capabilities.

The update, revealed in a Sept. 27 IBM blog set up, represents a "big investment," observed Greg Adams, vice chairman of IBM business Analytics, in an interview. the brand modern tools, past including more superior capabilities, additionally execute the platform easier to utilize for nondata-oriented personnel and national information scientists -- a category of clients that has been growing to exist impulsively.

Following a fashion

the brand modern points in Cognos Analytics eleven.1 execute "the platform a total lot less complicated to utilize to generate insights, chiefly the herbal language search, which enables clients to acquire precise conversations with the information," mentioned Wayne Eckerson, founder and well-known consultant at Eckerson group.

IBM is [in the] middle of the pack, which is a tad fantastic, given their Watson heritage. Wayne Eckerson, Eckerson group

"It automates information instruction and information modeling initiatives, so analysts can center of attention extra on insights. It besides auto-generates insights in line with a container of pastime chosen through a user, the utilize of algorithms to tease out key drivers of a metric, for example," he endured.

still, Eckerson cited, these are points that "all the BI carriers are racing to incorporate."

"Some are a miniature bit forward of others, however most will turn out to exist within the identical site in 18 months. IBM is [in the] center of the pack, which is a tad extraordinary, given their Watson heritage," he spoke of.

past this yr, BI application vendor Alteryx Inc. released Alteryx 2018.3, which brought enhanced visualization capabilities and set the stage for future updates that are observed to expand the platform's augmented intelligence and sensible capabilities.

Tableau additionally made a flow to add more automation to its systems this 12 months with the acquisition of MIT startup Empirical systems. The startup worked on a platform to immediately mannequin facts for evaluation, and it provides predictive insights into that facts -- aspects that Tableau renowned it'll work so as to add into its personal structures.

Cognos Analytics 11.1 Cognos Analytics eleven.1 makes it workable for brief comparisons of two visualizations in a brand modern exploration device. less demanding to use

based on Adams, at IBM, "we recognize to truly assist americans find insights, to truly exist self-carrier potential people exigency to exist instantly given insights, instantly acquire things brought to their consideration, and they exigency to acquire things exist truly approachable."

That method is reflected in the modern AI Assistant. Taking odds of recent herbal language processing (NLP) capabilities, the coadjutant in Cognos Analytics 11.1 makes it workable for users to category in questions and commands, akin to a command to relate records sets.

"the well-known thing with the conversation expertise, or not it's now not something that they desired to bolt onto the side," Adams said. "We really tried to inject it, so it exist a portion of your close stream."

advanced analytics

the brand modern AI applied sciences in Cognos Analytics 11.1 work neatly with the newly brought advanced analytics tools, Adams stated.

The platform now has sample detection, that may instantly find and latest relationships in facts it is being explored.

looking at a unavoidable visualization, for example, the platform will instantly learn related visualizations that can exist used, Adams pointed out. When identifying statistics, the outfit will additionally give ideas for visualizations.

With a brand modern exploration instrument in Cognos Analytics eleven.1, clients can drag and drop two visualizations for a "quick side-by using-aspect comparison" with a purpose to immediately search for relationships, Adams pointed out.

The update additionally includes improved predictive analytics capabilities; extra information storytelling options, with the potential to create interactive narratives with sequenced visualizations and media; and easier-to-use reporting tools.

environment apart and looking forward

while Adams acknowledged other BI platforms acquire these days incorporated similar facets, he claimed IBM's consideration to facts governance units Cognos Analytics 11.1 apart.

"probably the most excellent things about Cognos is its commercial enterprise-grade, trusted environment," he referred to, adding that IBM has besides added a system to instantly detect AI bias.

in addition to the update, IBM has launched a brand modern subscription pricing mannequin for the platform. The mannequin units the platform into three tiers: lite, premium and business. The Cognos Analytics eleven.1 supplant is attainable for the optimum tier as of Sept. 28, and it will exist attainable on the other tiers through the terminate of the year, based on IBM.


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well-known business users now empowered with self-provider data education capabilities that pressure more recommended, strategic business selections

BEDFORD, Mass., may additionally 10, 2016 (GLOBE NEWSWIRE) -- Datawatch organization (NASDAQ-CM: DWCH) today introduced the immediate availability of Datawatch Monarch for IBM Watson Analytics and IBM Cognos Analytics. past this yr, Datawatch printed that IBM (NYSE: IBM) would resell Datawatch Monarch to carry enhanced and faster records entry and self-service statistics education (prep) to its clients. starting today, these clients can leverage Monarch to prep much less, dissect more and harness the vigour of IBM`s cognitive computing capabilities across the widest variety of records sources.

records that offers the most analytical value has traditionally been locked away in up to now inaccessible multi-structured and unstructured documents, equivalent to text reviews, net pages, PDFs, JSON and log information. And, in many situations, an organization`s supply facts is different and infrequently items itself in an analysis-able structure. in consequence, hours are spent on manual facts retrieval and prep processes.

The Datawatch Monarch self-carrier facts prep solution allows facts analysts and universal business clients to swiftly access, maneuver and blend data from virtually any source. statistics can then exist organized for evaluation in Watson Analytics and Cognos Analytics in a fraction of the time that it takes the utilize of spreadsheets and other manually-intensive measures.

"nearly totality of strategic business decisions are made on incomplete or out of date guidance, as a result of records retrieval challenges and time-intensive lead prep processes," referred to Michael Morrison, president and CEO of Datawatch. "this is an unlucky fact given the acquire an impact on these decisions can acquire on a corporation`s bottom line and growth potential. Monarch enables Watson Analytics and Cognos Analytics clients to acquire now not best the prerogative counsel, but totality of the counsel, required to reap a holistic view of the company, after which readily and abruptly set together it for evaluation. instead of expend hours on mundane prep work, users can now dedicate their time to performing analysis that hurries up determination making and drives business value."

IBM VisionDan Potter, Datawatch`s chief advertising officer, is scheduled to existing on new advances in self-provider statistics prep at the upcoming IBM imaginative and prescient convention in Orlando, Florida. Potter will debate how self-provider information prep enables users, above totality these in monetary and operational performance management, to leverage a much broader variety of records, and reap faster and greater accurate results. He`ll besides demonstrate how an optimized statistics file may besides exist prepared for direct import into Watson Analytics and Cognos Analytics. Potter`s session will recall vicinity on Wednesday, might besides eleven, at 11 a.m. ET.

To gain learning of greater about Datawatch Monarch for Watson Analytics and Cognos Analytics, proceed to: http://www.datawatch.com/ibm-analytics.

About Datawatch CorporationDatawatch service provider (NASDAQ-CM: DWCH) permits ordinary clients to obtain striking consequences with their records. only Datawatch can free up records from the widest diversity of sources and prepare it for utilize in visualization and analytics tools, or for other enterprise approaches. When actual-time visibility into abruptly altering statistics is critical, Datawatch besides enables clients to investigate streaming information, even in the most worrying environments, reminiscent of capital markets. agencies of totality sizes in additional than one hundred international locations worldwide utilize Datawatch products, including ninety three of the Fortune 100. The company is headquartered in Bedford, Massachusetts, with offices in modern york, London, Frankfurt, Stockholm, Singapore and Manila. To study more about Datawatch or down load a free edition of its commercial enterprise utility, please visit: www.datawatch.com.

safe Harbor statement under the private Securities Litigation Reform Act of 1995Any statements contained during this press free up that attain not picture primitive data might besides represent forward-searching statements as that time epoch is defined in the deepest Securities Litigation Reform Act of 1995. this benign of statements contained herein, including however now not confined to those relating to product efficiency and viability, are based on current expectations, but are realm to a pair of hazards and uncertainties that may reason actual results to differ materially from expectations. The components that may reason specific future consequences to vary materially from present expectations consist of here: rapid technological exchange; Datawatch`s dependence on the introduction of modern products and product enhancements and feasible delays in these introductions; acceptance of latest items by the market, competitors within the software trade frequently, and within the markets for subsequent generation analytics in particular; and Datawatch`s dependence on its foremost products, proprietary utility expertise and application licensed from third events. extra information on components that may reason exact results to differ from those expected is particular in various publicly-purchasable files, which consist of, however aren't restricted to, filings made by Datawatch now and again with the Securities and exchange fee, together with however not restrained to, these performing within the enterprise`s Annual file on benign 10-ok for the year ended September 30, 2015. Any ahead-searching statements may soundless exist regarded in mild of those factors.

Story Continues

© 2016 Datawatch enterprise. Datawatch and the Datawatch brand are emblems or registered logos of Datawatch business enterprise in the united states and/or different countries. totality other names are trademarks or registered logos of their respective agencies.

Media Contact:Amanda BeaupreMarketing Communications supervisor, Datawatch Corporationamanda_beaupre@datawatch.com 978-275-8387Twitter: @datawatch 

This announcement is dispensed by NASDAQ OMX corporate options on behalf of NASDAQ OMX corporate solutions customers.

The company of this announcement warrants that they are fully answerable for the content material, accuracy and originality of the tips contained therein.source: Datawatch company by means of GlobeNewswireHUG#2011258


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C2090-623 exam Dumps Source : IBM Cognos Analytics Administrator V11

Test Code : C2090-623
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Vendor appellation : IBM
: 60 true Questions

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    Catching irascible Guys with Math: true World Data Science utilize Cases for Cyberattack Detection and Prevention | killexams.com true questions and Pass4sure dumps

    The IEEE Ottawa CS Chapter, IEEE Ottawa ComSoc/CESoc/BTS Joint Chapter, and IEEE Ottawa AICN are inviting totality interested IEEE members and other engineers, technologists, and students to another Lunch and Learn in the heart of the Kanata Tech Hub.

    SEMINAR: Catching irascible Guys with Math: true World Data Science utilize Cases for Cyberattack Detection and PreventionSPEAKER: Stephan Jou (CTO, Interset)

    DATE: March 7th, 2017TIME: Refreshments, Lunch, and Networking: 11:30 a.m.; Seminar: 12:00 p.m. – 01:30 p.m.PLACE: The Marshes Golf Club, 320 Terry Fox Drive, KanataPARKING: Free parking available.ADMISSION: Open to all, free of charge. Registration is required.EVENT SITE: http://ewh.ieee.org/r7/ottawa/lunchandlearn/EVENT REGISTRATION: https://www.eventbrite.ca/e/ieee-ottawa-lunch-and-learn-presents-catching-bad-guys-with-math-by-stephan-jou-cto-interset-tickets-32019829171

    SPEAKER BIOStephan Jou is CTO of Interset, a leading edge cybersecurity company that uses machine learning and behavioral analytics to provide unprecedented insight into how corporate intellectual property is being attacked, moved, shared and utilized. Jou was a Technical Architect, Research Staff Member and Sr. Manager at IBM’s business Analytics Office of the CTO. In his career at Cognos and IBM, he has architected and lead the development of over ten 1.0 Cognos and IBM products in the areas of cloud computing, mobile, visualization, semantic search, data mining and neural networks. A frequent speaker, Stephan has besides contributed to the Verizon Data transgression Investigation Report and ISSA Magazine on the utilize of data science in cybersecurity. Jou holds a M.Sc. in Computational Neuroscience and Biomedical Engineering, and a dual B.Sc. in Computer Science and Human Physiology, totality from the University of Toronto. He has held advisory positions on NSERC Strategic Networks and is involved in setting goals for NSERC Strategic Research grant research topics in the areas of analytics and security.

    TALK ABSTRACTThere is a lot of buzz about the potential of data science, machine learning and analytics in cyberattack and advanced persistent threat (APT) threat detection, but what are the techniques and tools in utilize and working in the true world? Properly implemented, data science can exist a highly efficient instrument against APT, cyberattacks, and fortify an organization’s interior defense. Their distinguished speaker, Stephan Jou leads the technology and data science teams at Interset, a leading edge Ottawa company that has developed an award-winning solution, based on machine learning, to detect and avert cyberattacks. This seminar shall picture the feature engineering, mathematical models, visualizations, development techniques and open source tools in true world implementations developed over the past two years, illustrated through four real-world customer examples. The information and techniques will exist presented with visualizations, true (anonymized) data, and accessible descriptions of the mathematics, so that profound experience in statistics or mathematics is not required. Attendees will learn about how data science has been used to detect data theft from a manufacturing company, insider theft in a military defense contractor, system admin data loss in a life sciences company, and compromised account detection in a media company.

    THANK YOU TO THEIR PATRONS for making this event possibleMarch Networks (https://www.marchnetworks.com/)Kanata North BIA (https://www.kanatanorthbia.ca/)Invest Ottawa (https://www.investottawa.ca/)you.i tv (http://www.youi.tv/)Smart & Biggar (http://www.smart-biggar.ca/en/index.cfm)Carleton University, Faculty of Engineering and Design (http://carleton.ca/engineering-design/)University of Ottawa, Faculty of Engineering (http://engineering.uottawa.ca/)The Marshes Golf Club (http://www.marshesgolfclub.com/index.php)

    Regards,Eric Karmouch, Ph.D., SMIEEEChair, IEEE Ottawa Computer Society (http://sites.ieee.org/ottawa-cs/)Chair, IEEE Ottawa Lunch and Learn (http://ewh.ieee.org/r7/ottawa/lunchandlearn/)


    MicroStrategy's (MSTR) CEO Michael Saylor on Q1 2018 Results - Earnings call Transcript | killexams.com true questions and Pass4sure dumps

    No result found, try modern keyword!Les has a career enterprise software sales with Siebel, with Oracle besides with Cognos and with IBM analytics. And so we’ve been able ... totality of the MicroStrategy architect and developer and administrat...


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