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M2090-615 exam Dumps Source : IBM commerce Analytics Performance Management Sales Mastery Test v2

Test Code : M2090-615
Test designation : IBM commerce Analytics Performance Management Sales Mastery Test v2
Vendor designation : IBM
: 47 real Questions

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IBM IBM commerce Analytics Performance

IBM Db2 Analytics Accelerator edition 7.1 — performance with more desirable Flexibility | killexams.com real Questions and Pass4sure dumps

groups possess a wealth of valuable records on their commercial enterprise methods. Ideally, selections should soundless subsist derived from this facts as it’s generated to benefit these days’s true-time enterprise needs. Deriving insight from old-fashioned facts can result in grisly best selections and potentially detrimental actions. This may enable fraud and cyber criminals to get the most that information and the systems. It could too outcomes in lost profits through neglected earnings opportunities. similarly, the selfsame could subsist said of now not being in a position to resolve information quickly adequate.

IBM Db2 Analytics Accelerator for z/OS (Accelerator) can uphold wield both of those challenges. in the beginning, it permits queries to subsist performed on present transactional information with runt or no repercussion to operational gadget efficiency. Secondly, the Accelerator can labor to vastly enrich the efficiency of applicable queries customarily create in analytics functions.

The Accelerator is designed for prime-velocity analysis of commerce facts. it will possibly benefit chop back operational permeate and complexity by bringing the analytics closer to the data and enabling proximate real-time analytics on transactional facts because it’s generated. The Accelerator transforms the IBM Z platform privilege into a hybrid transaction and analytical processing (HTAP) environment. it could bring high-speed processing for complicated, resource-intensive Db2 queries to benefit business-crucial reporting and analytic workloads.

Flexibility and performance with Db2 Analytics Accelerator version 7.1

The Accelerator has been accessible for a few years and is used by using IBM Z shoppers across many industries to aid velocity intricate queries on enterprise-essential information, without having to shuffle that records to a different platform for analytics. Executing transaction and analytical workloads concurrently on the equal platform can assist chop back latency while leveraging the protection capabilities of the IBM Z platform. Analytical processing doesn't humble transactional workload performance as a result of transactional and analytical queries are each and every processed within divide compute resource pools.

As depicted in determine #1, the Db2 Analytics Accelerator version 7.1 delivers two deployment options, both on the IBM built-in Analytics gadget (IAS) and/or at once on the IBM Z mainframe.

determine #1: dedicated tackle (Accelerator on IAS) or autochthonous on IBM Z (Accelerator on IBM Z) selecting the best option

The Db2 Analytics Accelerator for z/OS version 7.1 provides the option to deploy the benign aspect that most accurately fits a company’s requirements:

  • Db2 Analytics Accelerator on IAS allows for groups to set up on the IBM built-in Analytics tackle appliance. This pre-configured offering includes hardware (compute, storage, and networking) and application for smooth deployment, administration, and lofty performance. It too offers safety-prosperous, bendy and elastic records storage that's both effortless to install and control.
  • Db2 Analytics Accelerator on IBM Z allows organizations to deploy directly on the IBM Z mainframe, within a at ease carrier Container leveraging integrated Facility for Linux (IFL) processors. This makes it possible for for deeper integration with the IBM Z infrastructure. This alternative can additionally present elastic skill to respond to height analytic workload requirements whereas meeting SLAs. It helps a subset of SQL, executable in Db2 for z/OS. Basing the Accelerator on Db2 Warehouse permits extended exhaust of the supported SQL because of improved SQL compatibility across the Db2 family.
  • each deployment alternatives are in line with IBM’s analytical engine, Db2 Warehouse. This helps assure a uniform journey with one API and database engine. It allows groups to get investments as soon as in enabling their applications and workloads for the Accelerator and then transition without vicissitude between deployment alternate options. The IBM Db2 Warehouse provides here merits:

  • more desirable SQL compatibility throughout the complete Db2 family of products.
  • Columnar expertise providing quicker performance for a lot of analytic queries than musty versions.
  • Containerized strategy can facilitate quicker, less difficult integration with different applied sciences and methods.
  • Deployment on IAS

    IBM Db2 Analytics Accelerator on IAS is a subsequent-generation hardware appliance. It offers its components out of the container, including optimized hardware and software. This deployment preference delivers a balanced, advanced, performance-optimized configuration. The hardware includes the rack, the physical servers and storage. it is in accordance with IBM vigor hardware and is optimized for expense/efficiency. The application stack comprises the Linux operating equipment, Docker utility, Docker container and infrastructure administration facilities.

    Deployment on IBM Z

    IBM Db2 Analytics Accelerator on IBM Z circumstances may too subsist deployed privilege away by the exhaust of a download & travel approach. Deploying the Accelerator on IBM Z packages the application stack into an IBM snug service Container (SSC) logical partition (LPAR). This helps convey a self-managed tackle operating in a SSC LPAR that will too subsist deployed in minutes.

    varied secure service Containers can partake the selfsame IFLs. distinctive Accelerators, for this reason, can partake the equal hardware components. This will too subsist a advantageous option for a couple of construction, and examine/development situations, which may well subsist provisioned and re-provisioned as indispensable.

    The Accelerator on IBM Z integrates into an organization’s IBM Z environment and leverages the time-honored LPAR-memory and CPU management tactics. This mode too leverages the firm’s personal disk to shop Accelerator-aspect data. This alternative is for agencies that wish to buy information of IBM Z facilities for activities akin to catastrophe restoration and allows for deeper integration with the IBM Z infrastructure.

    summary and next Steps

    When true-time insight matters, IBM Z, along with Db2 for z/OS and the Db2 Analytics Accelerator, can aid carry a magnificent transaction and analytical environment.

    it will possibly benefit corporations buy talents of their enterprise information where it originates to labor to pressure excessive repercussion choices whereas minimizing latency, simplifying infrastructure, assisting to reduce the permeate of such IT infrastructure and enhancing information security. it will probably aid turn statistics into perception, and insight into probability to deliver proximate precise-time solutions to probably the most most considerable questions.

    To gain information of more about IBM Db2 Analytics Accelerator edition 7.1, click privilege here.

    Stephen Astorino,VP of building, Hybrid Cloud, z Analytics and Canada Lab Director IBM Analytics

    comply with me: @astorino_steven


    IBM Analytics to Facilitate Catalina's Digital Overhaul | killexams.com real Questions and Pass4sure dumps

    No outcomes found, are attempting current keyword!in addition, IBM's analytics displayed a powerful performance within the third quarter of 2018, pushed by course of statistics science offerings and IBM Cloud inner most for statistics offering. IBM is restructuring its commerce to ...

    IBM’s contrivance to deliver computing device discovering Capabilities to facts Scientists in everyone places | killexams.com real Questions and Pass4sure dumps

    Hillary Hunter is an IBM Fellow.

    Over on the IBM blog, IBM Fellow Hillary Hunter writes that the company anticipates that the world’s volume of digital facts will exceed 44 zettabytes, an astonishing number. As enterprises start to realize the vast, untapped information of records, they requisite to find a course to exploit it. Enter AI.

    IBM has labored to build the business’s most complete data science platform. integrated with NVIDIA GPUs and software designed especially for AI and the most information-intensive workloads, IBM has infused AI into offerings that customers can entry despite their deployment mannequin. these days, they buy the next step in that journey in announcing the next evolution of their collaboration with NVIDIA. They contrivance to leverage their current data science toolkit, RAPIDS, across their portfolio so that their valued clientele can enhance the efficiency of desktop discovering and information analytics.

    Plans to promote GPU-accelerated laptop studying consist of:

  • IBM POWER9 with PowerAI: to leverage RAPIDS to expand the options obtainable to information scientists with current open source laptop gaining information of and analytics libraries. Accelerated workloads had been confirmed to score an immediate edge from the exclusive engineering that NVIDIA and IBM absorb completed around POWER9, together with integration of NVIDIA NVLink and NVIDIA Tesla GPUs. PowerAI is IBM’s application layer, which optimizes how these days’s records science and AI workloads sprint on these heterogeneous computing programs. Their aim is for this more advantageous efficiency trajectory for GPU-accelerated workloads on POWER9 to proceed with RAPIDS.
  • IBM Watson Studio and IBM Watson computer gaining information of: to buy abilities of the energy of NVIDIA GPUs so that information scientists and AI developers can construct, set up, and sprint faster fashions than CPU-most effectual deployments in their AI purposes in a multicloud ambiance with IBM Cloud private for statistics and IBM Cloud.
  • IBM Cloud: to clients who opt for machines outfitted with GPUs for you to apply accelerated computer researching and analytics libraries in RAPIDS to their cloud functions and faucet into the advantages of computer researching.
  • IBM and NVIDIA’s shut collaboration through the years has helped main firms and companies everywhere tackle one of the crucial world’s biggest issues,” mentioned Ian Buck, vice president and accepted manager of Accelerated Computing at NVIDIA. “Now, with IBM taking skills of RAPIDS open-source libraries announced these days with the aid of NVIDIA, GPU accelerated desktop discovering is coming to facts scientists, assisting them resolve massive facts for insights sooner than ever possible earlier than. Recognizing the computing vigor that AI would want, IBM changed into an early imply of information-centric systems. This mode led us to carry the GPU-equipped summit equipment, the world’s most powerful supercomputer, and already researchers are seeing huge returns. previous in the 12 months, they tested the information for GPUs to accelerate computing device discovering after they showed how GPU-accelerated desktop studying on IBM vigour programs AC922 servers set a new pace checklist with a 46x progress over outdated effects.

    on account of IBM’s commitment to bringing accelerated AI to clients throughout the technology spectrum, subsist they clients of on-premises, public cloud, private cloud, or hybrid cloud environments, the commerce is positioned to bring RAPIDS to users in spite of how they want to entry them.

    Hillery Hunter is an IBM Fellow and CTO of Infrastructure in the IBM Hybrid Cloud company. prior to this position, she served as Director of Accelerated Cognitive Infrastructure in IBM research, leading a team doing move-stack (hardware via application) optimization of AI workloads, producing productiveness breakthroughs of 40x and enhanced which absorb been transferred into IBM product offerings. Her technical interests absorb at everyone times been interdisciplinary, spanning from silicon expertise via gadget utility, and she has served in technical and management roles in reminiscence technology, methods for AI, and different areas. She is a member of the IBM Academy of know-how.

    sign in for their insideHPC publication




    Killexams.com M2090-615 Dumps and real Questions

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    M2090-615 exam Dumps Source : IBM commerce Analytics Performance Management Sales Mastery Test v2

    Test Code : M2090-615
    Test designation : IBM commerce Analytics Performance Management Sales Mastery Test v2
    Vendor designation : IBM
    : 47 real Questions

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    The Best Self-Service commerce Intelligence (BI) Tools of 2018 | killexams.com real questions and Pass4sure dumps

    Analytics Beyond Spreadsheets

    For many years, Microsoft excel and other spreadsheets were the tools of preference for commerce professionals who were looking to visualize their data. But spreadsheets had their limits for many commerce intelligence (BI)-related tasks. Even today, trying to creating charts analyzing intricate datasets in excel can soundless subsist frustrating. Sometimes you start with the wrong benign of data, for example, or you may not know how to manipulate the spreadsheet to create the data visualization{{/ZIFFARTICLE} you need. On the other hand, the rising tide of data democratization is giving everyone in an organization access to corporate data. The requisite has arisen for effectual tools that people of everyone skill levels can exhaust to get sense of the wealth of information created by businesses every sole day.

    Spreadsheets too topple down when the data isn't well-structured or can't subsist sorted out in shapely rows and columns. And, if you absorb millions of rows or very sparse matrices, then the data in a spreadsheet can subsist painful to enter and it can subsist arduous to visualize your data. Spreadsheets too absorb issues if you are trying to create a report that spans multiple data tables or that mixes in Structured Query Language (SQL)-based databases, or when multiple users try to maintain and collaborate on the selfsame spreadsheet.

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    While spreadsheets and self-service BI tools both get exhaust of tables of numbers, they are really acting in different arenas with different purposes. A spreadsheet is first and foremost a course to store and parade calculations. While some spreadsheets can create very sophisticated mathematical models, at their core it is everyone about the math more than the model itself.

    This is everyone a long-winded course of aphorism that when businesses exhaust a spreadsheet, they are actively sabotaging themselves and their faculty to consistently score valuable insights from their data. BI tools are specficially designed to benefit businesses better understand their data, and can prove to subsist a huge benefit to those upgrading from what a limited spreadsheet can do.

    What Is commerce Intelligence?

    Defining BI is tricky. When you examine what it does and why companies exhaust it, it can start to sound vague and nebulous. After all, many different kinds of software present analytics features, and everyone businesses want to improve. Understanding what a BI is or isn't can subsist unclear.

    BI is an umbrella term meant to cover everyone of the activities necessary for a company to turn raw information into actionable knowledge. In other words, it's a company's efforts to understand what it knows and what it doesn't know of its own actuality and operations. The ultimate goal is being able to extend profits and sharpen its competitive edge.

    Framed that way, BI as a concept has been around as long as business. But that concept has evolved from early basics [like Accounts Payable (AP) and Accounts Receivable (AR) reports and customer contact and contract information] to much more sophisticated and nuanced information. This information ranges across everything from customer behaviors to IT infrastructure monitoring to even long-term fixed asset performance. Separately tracking such metrics is something most businesses can finish regardless of the tools employed. Combining them, especially disparate results from metrics normally not associated with one another, into understandable and actionable information, well, that's the craft of BI. The future of BI is already shaping up to simultaneously broaden the scope and variety of data used and to sharpen the micro-focus to ever finer, more granular levels.

    BI software has been instrumental in this uniform progression towards more in-depth information about the business, competitors, customers, industry, market, and suppliers, to designation just a few possible metric targets. But as businesses grow and their information stores balloon, the capturing, storing, and organizing of information becomes too great and intricate to subsist entirely handled by mere humans. Early efforts to finish these tasks via software, such as customer relationship management (CRM) and enterprise resource planning (ERP), led to the formation of "data silos" wherein data was trapped and useful only within the confines of unavoidable operations or software buckets. This was the case unless IT took on the stint of integrating various silos, typically through painstaking and highly manual processes.

    While BI software soundless covers a variety of software applications used to resolve raw data, today it usually refers to analytics for data mining, analytical processing, querying, reporting, and especially visualizing. The main dissimilarity between today's BI software and gargantuan Data analytics is mostly scale. BI software handles data sizes typical for most organizations, from wee to large. gargantuan Data analytics and apps wield data analysis for very great data sets, such as silos measured in petabytes (PBs).

    Self-Service BI and Data Democratization

    The BI tools that were Popular half a decade or more ago required specialists, not just to exhaust but too to interpret the resulting data and conclusions. That led to an often inconvenient and fallible filter between the people who really needed to score and understand the business—the company decision makers—and those who were gathering, processing, and interpreting that data—usually data analysts and database administrators. Because being a data specialist is a demanding job, many of these folks were less well-versed in the actual workings of the commerce whose data they were analyzing. That led to a focus on data the company didn't need, a misinterpretation of results, and often a sequence of "standard" reporting that analysts would sprint on a scheduled basis instead of more ad hoc intelligence gathering and interpretation, which can subsist highly valuable in fast-moving situations.

    This problem has led to a growing current trend among current BI tools coming onto the market today: that of self-service BI and data democratization. The goal for much of today's BI software is to subsist available and usable by anyone in the organization. Instead of requesting reports or queries through the IT or database departments, executives and decision makers can create their own queries, reports, and data visualizations through self-service models, and connect to disparate data both within and outside the organization through prebuilt connectors. IT maintains overall control over who has access to which tools and data through these connectors and their management utensil arsenal, but IT no longer acts as a bottleneck to every query and report request.

    As a result, users can buy edge of this distributed BI model. Key tools and faultfinding data absorb moved from a centralized and difficult-to-access architecture to a decentralized model that merely requires access credentials and familiarity with current BI software. This results in a total current benign of analysis becoming available to the organization, namely, that of experienced, front-line commerce people who not only know what data they requisite but how they requisite to exhaust it.

    The emerging crop of BI tools everyone labor arduous at developing front-end tools that are more intuitive and easier to exhaust than those of older generations—with varying degrees of success. However, that means a key criteria in any BI utensil purchasing decision will subsist to evaluate who in the organization should access such tools and whether the utensil is appropriately designed for that audience. Most BI vendors indicate they're looking for their utensil suites to become as ubiquitous and smooth to exhaust for commerce users as typical commerce collaboration tools or productivity suites, such as Microsoft Office. nothing absorb gotten quite that far yet in my estimation, but some are closer than others. To that end, these BI utensil suites mind to focus on three core types of analytics: descriptive (what did happen), prescriptive (what should happen now), and predictive (what will happen later).

    What Is Data Visualization?

    In the context of BI software, data visualization is a speedily and effectual mode of transferring information from a machine to a human brain. The blueprint is to region digital information into a visual context so that the analytic output can subsist quickly ingested by humans, often at a glance. If this sounds relish those pie and bar charts you've seen in Microsoft Excel, then you're right. Those are early examples of data visualizations.

    But today's visualization forms are rapidly evolving from those traditional pie charts to the stylized, the artistic, and even the interactive. An interactive visualization comes with layered "drill downs," which means the viewer can interact with the visual to attain more granular information on one or more aspects incorporated in the bigger picture. For example, current values can subsist added that will change the visualization on the fly, or the visualization is actually built on rapidly changing data that can turn a static visual into an animation or a dashboard.

    The best visualizations finish not hunt artistic awards but instead are designed with role in mind, usually the quick and intuitive transfer of information. In other words, the best visualizations are simple but powerful in clearly and directly delivering a message. High-end visuals may learn impressive at first glance but, if your audience needs benefit to understand what's being conveyed, then they've ultimately failed.

    Most BI software, including those reviewed here, comes with visualization capabilities. However, some products present more options than others so, if advanced visuals are key to your BI process, then you'll want to closely examine these tools. There are too third-party and even free data visualization tools that can subsist used on top of your BI software for even more options.

    Products and Testing

    In this review roundup, I tested each product from the perspective of a commerce analyst. But I too kept in intellect the viewpoint of users who might absorb no familiarity with data processing or analytics. I loaded and used the selfsame data sets and posed the selfsame queries, evaluating results and the processes involved.

    My aim was to evaluate cloud versions alone, as I often finish analysis on the hover or at least on a variety of machines, as finish legions of other analysts. But, in some cases, it was necessary to evaluate a desktop version as well or instead of the cloud version. One illustration of this is Tableau Desktop, a favorite utensil of Microsoft excel users who simply absorb an affinity for the desktop utensil (and who just shuffle to the cloud long enough to partake and collaborate).

    I ended up testing the Microsoft Power BI desktop version, too, on a Microsoft representative's recommendation because, as the rep said, "the more robust data prep tools are there." Besides, said the rep, "most users prefer the desktop utensil over a web utensil anyway." Again, I don't doubt Microsoft's claim but that does look uncanny to me. I've heard it said that desktop tools are preferred when the data is local as the process feels faster and easier. But seriously, how much data is truly local anymore? I suspect this odd desktop utensil preference is a bit more personal than fact-based, but to each his own.

    Then there's Google Analytics, a pure cloud player. The utensil is designed to resolve website and mobile app data so it's a different critter in the BI app zoo. That being the case, I had to deviate from using my test data set and queries, and instead test it in its natural habitat of website data. Nonetheless, it's the processes that are evaluated in this review, not the data.

    While I didn't test any of these tools from a data scientist's role, I did mention advanced capabilities when I create them, simply to let buyers know they exist. IBM Watson Analytics is one utensil with the faculty to extend to highly advanced features and was too one of the easiest to exhaust upfront. IBM Watson Analytics is well-suited for commerce analysts and for widespread data democratization because it requires little, if any, information of data science. Instead, it works well by using natural language and keywords to figure queries, a characteristic that can get it valuable to practically anyone. It's highly intuitive, very powerful, and smooth to learn. Microsoft Power BI is a tough second as it, too, is powerful while too familiar, certainly to any of the millions of Microsoft commerce users. However, there are several other powerful and intuitive apps in this lineup from which to choose; they everyone absorb their own pros and cons. We'll subsist adding even more in the coming months.

    One thing to watch out for during your evaluations of these products is that many don't yet wield streaming data. For many users, that won't subsist a problem in the immediate future. However, for those involved with analyzing commerce processes as they happen, such as website performance metrics or customer conduct patterns, streaming data can subsist invaluable. Also, the Internet of Things (IoT) will drive this issue in the near future and get streaming data and streaming analytics a must-have feature. Many of these tools will absorb to up their game accordingly so, unless you want to jump ship in a year or two, it's best to arbiter ahead when considering BI and the IoT.

    BI and gargantuan Data

    Another district in which self-service BI is taking off is in analyzing gargantuan Data. This is a newer progress in the database space but it's driving tremendous growth and innovation. The designation is an apt descriptor because gargantuan Data generally refers to huge data sets that are simply too gargantuan to subsist managed or queried with traditional data science tools. What's created these behemoth data collections is the explosion of data-generating, tracking, monitoring, transaction, and gregarious media tools (to designation a few) that absorb become so Popular over the ultimate several years.

    Not only finish these tools generate loads of current data, they too often generate a current benign of data, namely "unstructured" data. Broadly speaking, this is simply data that hasn't been organized in a predefined way. Unlike more traditional, structured data, this benign of data is hefty on text (even free-form text) while too containing more easily defined data, such as dates or credit card numbers. Examples of apps that generate this benign of data comprise the customer behavior-tracking tools you exhaust to remark what your customers are doing on your e-commerce website, the piles of log and event files generated from some smart devices (such as alarms and smart sensors), and broad-swath gregarious media tracking tools.

    Organizations deploying these tools are being challenged not only by a sudden deluge of unstructured data that quickly strains storage resources [think beyond terabytes (TB) into the PB and even exabyte (EB) range] but, even more importantly, they're finding it difficult to query this current information at all. Traditional data warehouse tools generally weren't designed to either manage or query unstructured data. current data storage innovations such as data lakes are emerging to resolve for this need, but organizations soundless relying exclusively on traditional tools while deploying front-line apps that generate unstructured data often find themselves sitting on mountains of data they don't know how to leverage.

    Enter gargantuan Data analysis standards. The golden touchstone here is Hadoop, which is an open-source software framework that Apache specifically designed to query great data sets stored in a distributed mode (meaning, in your data center, the cloud, or both). Not only does Hadoop let you query gargantuan Data, it lets you simultaneously query both unstructured as well as traditional structured data. In other words, if you want to query everyone of your commerce data for maximum insight, then Hadoop is what you need.

    You can download and implement Hadoop itself to perform your queries, but it's typically easier and more effectual to exhaust commercial querying tools that employ Hadoop as the foundation of more intuitive and full-featured analysis packages. Notably, most of the tools reviewed here, including Chartio, IBM Watson Analytics, Microsoft Power BI, and Tableau Desktop, everyone uphold this. However, each requires varying levels of configuration or even add-on tools to finish so—with IBM, Microsoft, and Tableau offering exceptionally deep capabilities. However, both IBM and Microsoft will soundless anticipate customers to utilize additional tools around aspects such as data governance to ensure optimal performance.

    Finding the privilege BI Tool

    Given the issues spreadsheets can absorb when used as ad hoc BI tools and how firmly ingrained they are in their psyches, finding the privilege BI utensil isn't a simple process. Unlike spreadsheets, BI tools absorb major differences when it comes to how they consume data inputs and outputs and manipulate their tables. Some tools are better at exploration than analysis, and some require a fairly sheer learning curve to really get exhaust of their features. Finally, to get matters worse, there are dozens if not hundreds of such tools on the market today, with many vendors willing to claim the self-serve BI label even if it doesn't quite fit.

    Getting the overall workflow down with these tools will buy some study and discussion with the people you'll subsist designating as users. Tableau Desktop and Microsoft Power BI, for example, will start users out with the desktop version to build visualizations and link up to various data sources. Once you absorb this together, you can start sharing those results online or across your organization's network. With others, such as Chartio or Google Analytics, you start in the cloud and remain there.

    In recent years, companies absorb been taking edge of the wide selection of online learning platforms out there to train their employees on using these platforms. As intuitive as these platforms may be, it is considerable to get confident that your employees actually know how to exhaust these BI platforms so that you can get confident your investment was worthwhile. There are many ways of approaching this, but using the privilege online learning platform might subsist a advantageous region to start looking.

    Given the wide price purview of these products, you should segment your analytics needs before you get any buying decision. If you want to start out slowly and inexpensively, then the best route is to try something that offers significant functionality for free, such as Microsoft Power BI. Such tools are very affordable and get it smooth to score started. Plus, they mind to absorb great ecosystems of add-ons and partners that can subsist a cost-effective replacement for doing BI inside a spreadsheet. Tableau Desktop soundless has the largest collection of charts and visualizations and the biggest colleague network, though both IBM Watson Analytics and Microsoft Power BI are catching up fast.

    IBM Watson Analytics scored the highest, and Microsoft Power BI and Tableau Desktop scored the next highest in their roundup. However, everyone three products received their Editors' preference award. Tableau Desktop may absorb a gargantuan price tag depending on which version you select but, as previously mentioned, it has an exceptionally great and growing collection of visualizations plus a manageable learning curve if you're willing to pledge some application to it. Microsoft Power BI and Tableau Desktop too absorb great and growing collections of data connectors, and both Microsoft and Tableau absorb their own sizable communities of users that are vocal about their wants and needs. This can carry a lot of weight with the vendors' progress teams so it's a advantageous blueprint to spend some time looking through those community forums to score an blueprint where these companies are headed.

  • Pros: Extremely user-friendly. fantastic automatic report generation. Impressive uphold availability.

    Cons: Automated reports can quickly become defaults. sheer learning curve that might confuse beginners.

    Bottom Line: Zoho Reports is a solid option for general commerce users who might not subsist knowledgeable in analytics software. It's too available at an attractive price.

    Read Review
  • Pros: Accessible user interface. Smart guidance features. Impressively speedily analytics. Robust natural language querying.

    Cons: Unable to finish real-time streaming analytics.

    Bottom Line: IBM Watson Analytics is an exceptional commerce intelligence (BI) app that offers a tough analytics engine along with an excellent natural language querying tool. This is one of the best BI platforms you'll find and easily takes their Editors' preference honor.

    Read Review
  • Pros: Extremely powerful platform with a wealth of data source connectors. Very user-friendly. Exceptional data visualization capabilities.

    Cons: Desktop and web versions divide data prep tools. Refresh cycle is limited on free version.

    Bottom Line: Microsoft Power BI earns their Editors' preference deference for its impressive usability, top-notch data visualization capabilities, and superior compatibility with other Microsoft Office products.

    Read Review
  • Pros: gigantic collection of data connectors and visualizations. User-friendly design. Impressive processing engine. ripen product with a great community of users.

    Cons: complete mastery of the platform will require substantial training.

    Bottom Line: Tableau Desktop is one of the most ripen offerings on the market and that shows in its feature set. While it has a steeper learning curve than other platforms, it's easily one of the best tools in the space.

    Read Review
  • Pros: Bottlenecks are eliminated thanks to in-chip processing. Impressive natural language query in third-party applications.

    Cons: Might subsist too difficult for self-service commerce intelligence (BI). Analytics process soundless needs to subsist ironed out. Natural language capability can subsist limited.

    Bottom Line: Sisense is a complete platform that should subsist Popular for experienced BI users. It may topple short for beginners, however.

    Read Review
  • Pros: Wide purview of connectors. Impressive sharing features. Limitless data storage.

    Cons: User interface is not intuitive. sheer learning curve. Unwelcoming to current analysts.

    Bottom Line: Domo isn't for newcomers but for companies that already absorb commerce intelligence (BI) sustain in their organization. Domo's a powerful BI utensil with a lot of data connectors and solid data visualization capabilities.

    Read Review
  • Pros: Exceptional platform for website and mobile app analytics.

    Cons: Customer uphold has course too much automation. Focus on marketing and advertising can subsist frustrating to users. Relies mostly on third parties for training.

    Bottom Line: Due to its brand recognition and the fact that it's free, Google Analytics is the biggest designation in website and mobile app intelligence. It has a sheer learning curve but it is an awesome commerce intelligence tool.

    Read Review
  • Pros: Designed with general commerce users in mind. Solid recur on investment.

    Cons: The data you can exhaust is limited. Needs additional platform to connect.

    Bottom Line: The Salesforce Einstein Analytics Platform is designed for customer, sales, and marketing analyses, although it can server other needs, too. Its powerful analytics capabilities along with its solid natural language querying functionality and a wide array of partners get it an attractive offering.

    Read Review
  • Pros: Real-time analytics for Internet of Things (IoT) and streaming data features. Massive ecosystem with ample extenders. Responsive pages get mobile publishing easiest. Impressive storytelling paradigm. Centralized view with consolidated analytics.

    Cons: Data prep features are lacking. Confusing toolbar design. Not friendly for beginners.

    Bottom Line: If your commerce already uses SAP's HANA database platform or some of its other back-end commerce platforms, then SAP Analytics Cloud is a powerful, well-priced choice. But subsist warned that there's a sheer learning curve and a illustrious dependence on other SAP products for complete functionality.

    Read Review
  • Pros: Impressive processing engine. Powerful query optimization on SQL. Entirely web-based. intricate queries are handled very well.

    Cons: Poorly designed user interface. sheer learning curve.

    Bottom Line: Chartio excels at building a powerful analytics platform that experienced commerce intelligence (BI) users will appreciate. Those current to BI, however, will find it very difficult to use.

    Read Review
  • Pros: Very deep SQL modeling ability. Uses Git for version management and collaboration.

    Cons: Very expensive. Not for wee teams.

    Bottom Line: Looker is a powerful self-service commerce intelligence (BI) utensil that can benefit unify SQL and gargantuan Data management across your enterprise.

    Read Review
  • Pros: Custom access roles. Solid collection of public data online.

    Cons: intricate pricing is a deterrent.

    Bottom Line: Qlik Sense Enterprise Server is a self-service commerce intelligence (BI) utensil that delivers the best collection of user access roles among the BI tools they tested, and too demonstrates a promising start towards integrating Data-as-a-Service (DaaS).

    Read Review
  • Pros: One of the largest collections of data connectors. Many granular access roles.

    Cons: No free affliction available. Training webinars can subsist costly.

    Bottom Line: The company's Focus query language is showing its age but Information Builders' self-service commerce intelligence (BI) utensil WebFocus nevertheless has some powerful analysis features.

    Read Review
  • Pros: Very smooth to score started. Nice team management and collaboration features.

    Cons: The cloud version has a subset of features create in Windows version. Online documentation could subsist improved.

    Bottom Line: While Tibco is soundless making the transition from a desktop to a cloud software vendor, its self-service commerce intelligence (BI) utensil Tibco Spotfire is a powerful course to start visualizing your excel data.

    Read Review
  • Pros: Excellent analytical uphold for Intuit QuickBooks. Very smooth setup.

    Cons: Installation and setup is a bit of chore. No uphold for Intuit QuickBooks' online versions.

    Bottom Line: Clearify QQube is the best self-service commerce intelligence (BI) utensil for in-depth analysis of your Intuit QuickBooks files, though you'll requisite to learn elsewhere for broader BI tasks.

    Read Review

  • ISC West Daily Report | killexams.com real questions and Pass4sure dumps

    Day one

    On Tuesday, I attended the annual DMP Owners Forum, which is “one the ways they present their gratitude to their dealers,” Jon Adams, DMP dealer progress manager, told a elbowroom complete of DMP’s top 100 dealers.

    This year’s speakers included Major Gen. (Ret.) Vincent Boles, who shared the wisdom he has gained throughout his military career, as well as some of his views on what makes a accurate leader. Boles gave out his book—4-3-2-1 Leadership: What America’s Sons and Daughters Taught Me on the Road from Second Lieutenant to Two-Star General—to everyone attendees. The other featured speaker was former Southwest Airlines senior level leader, Jason Young, author of the books The Culturetopia upshot and Servicetopia.

    Attendees too learned how DMP is giving dealers access to current markets through a variety of current platforms, including DMP’s CompanyStore, which enables dealers to participate in the DIY marketplace; Secura, a current high-volume residential dealer program; OnDemand Monitoring, a current revenue generator for dealers to present to consumers that don’t want to token long term contracts; and current avenues in home automation, including integration with AppleTV, Amazon echo and Google Home.

    DMP executive management too featured sessions on current technology that will subsist available this summer, including previews of the DMP’s Gunshot Detector that goes on Existing DMP XR sequence panels and DMP’s current Doorbell Camera, which tag Hillenburg, DMP’s executive director of marketing, said is “deeply integrated” and will “provide current highly sought after functionality to the existing DMP Virtual Keypad, App and control panel family."

    Jeff Britton, DMP’s VP of product design, too walked attendees through DMP’s Tech App Platform, which was “developed to save time on current installs and service calls and really to liquidate some of the service calls you are having to get today. The platform will continue to grow because they feel there are a lot of things that your techs should subsist able to finish privilege from their phone or their tablet.”

    Day Two

    On Wednesday, I began my day at Axis Communications’ 10th annual press breakfast. With the theme of “The Magic of IoT,” Fredrik Nilsson, VP Americas, and Martin Gren, founder, who were both dressed as magicians—you gotta custody for these guys!—talked about how the company plans to bring the selfsame innovation and “magic” that it brought to camera technology to other products, such as its Network Speakers, which get up an integrated audio system that is touchstone for retail settings. Axis too teamed up with Cognimatics to develop analytic capabilities for its accurate View People Counter, which is too touchstone for retail environments, providing valuable commerce intelligence data.

    Gren too provided a preview of its newest technology—the AXIS D2050-VE Network Radar Detector, an outdoor motion detector with radar technology that can provide cost-efficient perimeter protection and abate inaccurate alarms. The Company is too previewing at ISC West a selection of products that will subsist launched later this year, including current lofty resolution fixed domes in AXIS M30 Series, AXIS P32 Series, and AXIS Q35 Series. Axis too unveiled its AXIS FA sequence with modular cameras for highly discreet, cost-efficient video surveillance, and three current additions to AXIS P13 sequence that present 4K resolution in complete frame rate and that enable coverage of great areas with lofty image detail.

    Following the breakfast I headed to the present floor, which was abuzz with lofty traffic and early indicators point to a record year in terms of attendance for this year’s show.

    My first booth visit was at Legrand, a global specialist in electrical and digital building infrastructures. Manny Linhares, director of strategy, IoT, told me about Eliot, a Legrand global IoT program, that “brings the pledge of interoperability, providing the building blocks and infrastructure to enable IoT and bring connectivity to where it is needed.”

    Moving to the Qolsys showcase room, I was able to test drive the company’s second generation panel, which is sleeker and more powerful with some very wintry current capabilities. Kevin Woodworth, director of technical account management, pointed out that the panel is the culmination of “all of the lessons they learned from their first panel, and what they learned from dealer feedback.” The panel has a 7-inch HD touchscreen with built-in 5MP camera and multiple wireless radios, as well as LTE connectivity, advanced encryption, a built-in router, a glass demolish detector, dual path connectivity and Bluetooth disarming, to designation just a few of the upgrades.

    Over at the FLIR Systems booth, I was given a demo of the FLIR United VMS 8.0, the latest version of the company’s comprehensive, enterprise-level video management solution for managing video security operations. The company introduced three high-performance security cameras, including the FLIR PT-Series HD thermal and visible camera system, the FLIR Quasar 4K fixed box camera, and the FLIR Ariel 3MP (3-megapixel) corner camera. everyone three cameras integrate with FLIR United VMS 8.0 and expand the company’s end-to-end line of security solutions. I too got a demo of the company’s Cameleon command and control platform.

    At the Interlogix booth, the company was highlighting TruVision Navigator 7, the latest release of its Popular video management software. TruVision Navigator 7 now works seamlessly with Interlogix TruPortal access control systems and IFS network switches, allowing conclude users to manage their entire security system from one single, easy-to-use interface.

    This year’s ASSA ABLOY Press Event focused on “Security in the IoT Age,” and Martin Huddart, president, looked at how IoT will affect security. He aptly pointed out, “We are producing data, not products today,” noting that the key as they shuffle forward as an industry is “bringing everyone these devices together.”

    Next, I caught up with Denis Hebert, president, Feenics, a provider of cloud-based access control solutions. The company launched its enterprise maintain by Feenics platform that delivers scalability, flexibility and advanced security. The current cloud-based access control as service (ACaaS) platform integrates autochthonous visitor management, and incorporates RESTful API that dramatically simplifies integrating complementary systems plus connecting maintain to applications outside of the organization. Built specifically for the cloud and hosted by Amazon Web Services, maintain significantly minimizes costs through simple, maintenance-free upgrades and patches. 

    At the LifeSafety Power booth, Joe Holland, vice president of engineering, gave me a glimpse into how the company continues to “innovate the category of power,” with current predictive analytics and faultfinding reporting capabilities. The company announced a breakthrough in connecting brilliant power management analytics to leading software manufacturers directly through undoubted Mercury Security hardware.  “This truly enhances and expands the potential for systems integrators to present remote power management to customers who will benefit from predictive analysis and particular reporting on the health and well-being of their solutions,” said Holland.

    I too met with Glen L. Smith, director, dealer operations, ADT, who told me about the powerful strides the ADT Dealer Program has made in the past year alone. In the district of uphold for dealers, the company went from a net promoter score of -9 to 76 in just 18 months. How did they finish this? “We asked their dealers what was broken,” said Smith, who illustrious that response time was a gargantuan issue for dealers. In response to this concern, Smith said they went from a two-hour hold time to a zero hold time in just one year.

    At the Bosch Security Systems booth, the company featured a completely current portfolio of IP cameras and video analytics that extend surveillance beyond security, services that create recurring monthly revenue opportunities for dealers, and an all-in-one wireless multi-sensor that can subsist configured as a door/window contact, water or tilt sensor. Bosch too introduced In-Store Analytics, a solution to provide retailers with valuable insights on store traffic for improving operations, customer rendezvous and sales.

    At the Alarm.com booth, Brian Lohse, director, commercial sales, talked about the company’s strategy to buy what it has been doing on the residential side and bring that to the SMB space. On the residential side, the company’s open platform continues to expand integrations with a broad purview of devices to benefit its dealer partners extend their footprint in the smart home. Alarm.com has too extended 4G LTE communications capabilities.  In addition, Alarm.com highlighted its commerce Intelligence service that helps its dealer partners lower attrition by analyzing data points.

    Next, I caught up with Jeff Whitney, VP of marketing for Arecont Vision, who went over some of the gargantuan announcements for the company at the show, including Arecont Vision SNAPstream bandwidth reduction technology that supports multiple current and existing megapixel cameras; SurroundVideo Omni G3 Omnidirectional multi-sensor cameras with remote setup; Arecont Vision Compact MicroBullet indoor/outdoor, day/night megapixel camera; and Arecont Vision MicroDome G2 with Integrated IR indoor/outdoor day/night ultra-low profile megapixel camera.

    At the Pelco by Schneider Electric booth, Sharad Shekhar, CEO, Pelco SVP, video line of business, and Diane Feliciano, VP, global marketing, spoke about how the company has spent the ultimate 12-18 months “transforming and repositioning the company” for the future. “We absorb been making changes across the entire organization for the ultimate couple of years, from technology developments to current sales, uphold and operations programming,” said Feliciano. Pelco too showcased several current and enhanced products and systems, including its VideoXpert Video Management System (VMS); Sarix Enhanced IP Cameras with preloaded analytics on every model; ExSite Enhanced Explosion-Proof Cameras; and Optera Panoramic Multi-Sensor Cameras.

    I finished my day with a visit to the Altronix booth, where Kirby Han, craft director, took me through the company’s latest upgrades and current products, including its current NetWay Spectrum Fiber Solutions, its eBridge 800E EoC Receiver with Integral PoE Switch and its expanded NetWay Line with current managed midspans and endspans.

    Day Three

    I started day three at the Allegion Trends Talk breakfast, where I was able to speak with Rob Martens, futurist and VP, strategy & partnerships, about how the company is leveraging the latest technologies to provide the best solutions for customers. “I am the tip of the spear when it comes to current technology,” he said. “I create the chaos that the company has to deliver on.” Product wise, the company’s Engage platform is expanding to comprise many more products, “so that level of connectivity is now getting rolled out and becoming a reality.”

    At the Genetec booth, I spoke with Andrew Elvish, VP, marketing and product management, about the success of the company’s Mission Control system, which he said is “a game changer,” as the decision uphold system provides organizations with heightened levels of situational intelligence, visualization, and complete incident management capabilities. He too pointed to how the company’s Retail Intelligence application provides commerce intelligence and operational efficiencies. The company too highlighted the latest capabilities of its Synergis access control system, partake of its Security focus unified offering.

    At the AMAG Technology booth, I met company president Kurt Takahashi, and spoke with Kim Rahfaldt, public relations manager. The company unveiled Symmetry CONNECT, its current policy-based identity management system that delivers an smooth to use, automated software platform to manage employee, contractor and visitor identities, fill regulatory audit and compliance requirements and reduce the administrative costs of the security team. When used with Symmetry Access Control, organizations absorb a robust identity management system that utilizes data to secure people, property and assets, and automates commerce processes for better operational efficiency.

    At the HID Global booth, I spoke with Anthony Petrucci, director of global public relations and corporate communications, about the company’s current indoor Location Services for workforce optimization, which won the SIA current Product Showcase award. The Location Services provide organizations with visibility into the location of their workforce in a facility, making it possible to resolve elbowroom usage for better building management and increased operational efficiency. He too spoke about how the company is leveraging Bluetooth low energy (BLE) for current and emerging applications in the connected environment, as well as the role of mobile access, advanced smart card technology and biometrics in the company’s overall strategy.

    At the Milestone booth, I spoke with Courtney Dillon Pederson, communications manager, about the company’s strategic alliance with Lenel, which will start selling Milestone Systems Video Management Software (VMS) solutions directly through the Lenel Value Added Reseller (VAR) channel in North America. “We are really excited about this partnership and believe this is a powerful combination,” she said, noting that this alliance will reduce the total cost of ownership for users.

    I next visited the Eagle Eye Systems/Brivo booth, and sat down with Dean Drako, president and CEO for Eagle Eye, who shared his views on the “continued adoption of cloud.” He too talked about the technology partnership with Hikvision to deliver customers a seamless and cybersecure cloud video surveillance solution. Eagle Eye too highlighted that is has added Camera Cyber Lockdown to everyone its products, which blocks cameras from communicating with the Internet, stops them from being attacked and compromised. Drako too spoke about the company’s implementation of two-factor authentication, which “will subsist the touchstone for the industry stirring forward.”

    At the IDIS booth, I was able to sit down with company president and COO Albert Ryu, who shared his views on how the company is poised to leverage technology to provide the customized solutions for customers. He too spoke about how the company, which is celebrating 20 years, is “bringing AI to security.” On the product side, the company featured H.265 IPC/NVR products, including the current IDIS 12MP Super Fisheye Camera. too featured were current low light and long distance solutions, and end-user focused enhancements to the company’s award-winning PTZ tracking controls, IDIS Smart UX Controls v2.0 and retail analytics/business intelligence suite IDIS VA in the Box. The company too highlighted its powerful 64-channel IDIS DR-8364 NVR, which delivers enterprise-level performance at an NVR price. Moving over to the Hanwha Techwin booth, Miguel Lazatin, director of product and channel marketing, North America, walked me through everyone of the current features and capabilities of the Wisenet 5 chip, which was unveiled recently. The current chip powers the Wisenet X series, a current product line that features 27 models split up between 2MP and 5MP camera lines. Features comprise 150dB WDR performance and transparent images in extreme low light conditions, convenient USB port is too available for smooth setup and installation, as well as license-free audio and video analytics, dual SD card slot for increased onboard storage and image stabilization using gyro sensors. The company too announced that it is investing $100 million to create a security-only manufacturing facility in Vietnam.

    Next, Dahua product marketing manager Jennifer Hackenburg, gave me a tour of the booth, showing me how the company is embracing “deep learning,” pointing out that the company is “ahead of the curve” in leveraging everyone of the enhanced capabilities that deep learning can provide. The company announced that it is working with NVIDIA to bring synthetic intelligence (AI) functionality to its next-generation deep learning products. Equipped with NVIDIA GPUs, the Dahua DeepSense advanced high-capacity video analytics server provides deep learning capabilities. The technology delivers a powerful, scalable mode of extracting wealthy metadata and processing structural data to deliver speedily and accurate analytics. Dahua too announced that Movidius’ Myriad 2 Vision Processing Unit (VPU) technology will power select Dahua video surveillance cameras with advanced intelligence functions that train the devices to gather, analyze, and retain information much relish the human brain.

    I next visited with Jim Hoffpauir, president, Zenitel, at the Vingtor Stentofon booth. He showed me how the company’s Turbine Intercom Station can provide a legion of solutions, in any setting, from schools to airports to military and government applications. He too talked about his dedication to educating customers on how to pick the privilege system, and he created a scorecard to follow. He illustrious that it is considerable to absorb three key features—intelligibility, interoperability and the “ilities,” which relates to “high availability, scalability, defensibility and maintainability.”

    At the Tyco-Johnson Controls booth, I spoke with Roger Barlow, senior director, product management, TycoSP about a number of current products across its intrusion, access control and video divisions, and how the company is benefitting from the “synergies between Tyco and Johnson Controls,” he said. He too showed the DSC iotega, the company’s current innovative security and lifestyle management platform. A full-featured security technology, iotega facilitates home automation enhancements and add-ons via software apps. The company too announced its SG System 5 now supports PSTN line cards on the SG-System 5 receiver to give central stations the flexibility to monitor both IP and PSTN alarm signals, and how its EntraPass travel uphold for Apple Watch is the “industry’s first Apple Watch mobile credential that allows card holders to exhaust the watch as a mobile access control credential."

    At the Sureview Sytems booth, Simon Morgan, chief technology officer, gave me a demo SureView PSIM Solutions, which he pointed out, “improve security, optimize operations and reduce costs. He showed me how the Immix CC Platform delivers more integrations, smooth deployment and simple operation. He said SureView Immix CC Simplifies PSIM deployment and operation, featuring “intuitive UI, more integrations and unique architecture, which deliver unprecedented ease of operation and versatility.”

    Next, I visited Ditek, a surge protection company that works closely with the security industry to protect vital systems and tackle from being damaged by power surges, saving money in the process. Jorge Andino, domain sales engineer, pointed out that the company does this by providing a site survey for each project, giving that customer the privilege surge protection tackle to meet their needs. “Our surge protection tackle acts as the sacrificial lamb, preventing costly damage to the equipment.”

    I finished my day speaking with Rick Caruthers, executive VP, Galaxy Control Systems, who told me about the company’s current announcement that is “committing resources and manpower to providing cloud solutions to their customers,” he said. The Galaxy Cloud Concierge solution is a complete turnkey, cloud-based, fully hosted and managed access control and monitoring solution that includes professional 24/7 management and supports industry touchstone access technologies.

    Day Four

    On Friday I started the day at the Morse Watchmans booth speaking with George Lawson, account executive, and Joseph Granitto, COO, about the company’s key control and access management security systems, which are getting smarter and safer with a lot more functionality. “We buy feedback from customers to add current features and get their products easier to use,” said Lawson. In addition to an improved motherboard powering its systems, the company is unveiling a current enterprise-based software system. And its Asset Watcher, which the company tested exhaustively over the past year, is set to near out soon as well.

    At the Pivot3 booth, I spoke with Brandon Reich, surveillance commerce leader, about the company’s strategic original tackle manufacturer (OEM) relationship with brilliant Security Systems (ISS), an innovator in the progress of advanced video management and video analytics software. Under the agreement, ISS will license the Pivot3 hyperconverged infrastructure (HCI) platform and integrate it with ISS video management software (VMS) to supply more robust security intelligence and video storage options to customers. “We are really excited about that partnership,” said Reich. “We can provide a powerful solution set together.”

    At the Eizo booth, I spoke with Keisuke Akiba, product and marketing manager, and Brian Cote, about the company’s security and surveillance monitoring solutions. The IP decoding monitors near equipped with visibility enhancement technology for improving the clarity of video footage in real time. Akiba demonstrated the multi-monitor flexibility and showed me the 4k IPS 31.5-inch monitor with 3840 x 2160 autochthonous resolution.

    Over at the Boon Edam booth, Tracie Thomas, marketing manager, gave me an overview of the company’s many entry solutions, as well as news on the company’s expanding sales and customer service staff to uphold record sales growth. The company too announced the expansion of its product-training schedule, with more programs and locations. And, soon, Boon Edam will present its revolving door specifications on the ARCOM MasterSpec platform, which is widely used by architect and design firms in North America for commercial buildings.

    At the 3xLOGIC booth, Suzi Abell, tradeshow and events manager, shared present news, including the company’s current integrated, hosted video and access control solution for the SMB market and the company’s partnership with Bold Technologies to present an advanced video solution. The companies recently completed integration of Bold’s ManitouNEO with the 3xLOGIC VIGIL video platform, which supports cloud-managed video. The company too announced the release of a current multi-sensor camera and updated VIGIL software.

    At the Panasonic booth, Charlie Hare, national category manger, security and evidence management solutions, walked me through some of the company’s gargantuan announcements at the show, including the company’s expanded portfolio of i-PRO Extreme Surveillance Technology and its current i-PRO Extreme PTZ Camera with Advanced Analytics, as well as its latest video surveillance solutions. The i-PRO features a current chip set that produces “amazing picture quality,” said Hare.

    Over at the ReconaSense booth, Clayton Brown, product manager, described the company’s next-generation situational awareness platform, which provides “the tools to perform real-time faultfinding analysis,” he said. John Carter, the CTO of ReconaSense, is a former NASA engineer. The software leverages the IoT and gargantuan data with access control and video analytics to drive “proactive response” across diverse systems. By connecting the dots and alerting operators of suspicious events, the technology facilitates better decision-making and optimal resource allocation.

    My final booth visit was over at NVIDIA, which was showcasing some of its latest IVA-related, AI technology for smart and safe cities, featuring many partners such as IBM, Hikvision and Dahua. Deepu Talla, VP/GM, autonomous machines, showed me how the company’s GPU computing is not only powering its many partners but “driving the latest applications for safety and security in AI cities,” he said, including public safety, traffic management, conduct analysis, video analytics, anomaly detection, facial recognition, speedily forensics, parking management and robotics.

    NOTE: In addition to daily reports, learn for ssnTVnews video interviews from the present floor, including my video interviews with Bill Bozeman, president and CEO, PSA Security Network; Dan Moceri, executive chairman and founder, and Ken Lochiatto, president and CEO, Convergint Technologies; Maureen Lally, VP of marketing, TycoIS; Richard Tampier, senior director, sales and product strategy, Red Hawk Fire & Security; Craig Layers, senior VP. sales and marketing, ADS Security; and Jon Cropley, principal analyst, video vurveillance, IHS Markit.


    Merrill Lynch RIC Report: The top three tech companies changing healthcare | killexams.com real questions and Pass4sure dumps

    Three companies that are playing key roles in the transformation of healthcare via technology were spotlighted in a recent Merrill Lynch RIC (Research Investment Committee) Report.

    Those companies are IBM, Apple, and Fitbit.

    According to the April report, which contains annual and long-term forecasts as well as other considerable trends, the three tech giants were singled out because they are positioning themselves to subsist leaders in predictive analytics and gargantuan data in healthcare.

    Their “ability to leverage the available data to drive insights is pivotal,” the report said.

    IBM is distinguished because of Watson, a supercomputing system that combines synthetic intelligence and sophisticated analytical software. IBM has taken Watson into the healthcare space with Watson Health.

    Merrill Lynch too illustrious that not only absorb IBM’s shares risen in 2016, but too that Watson can buy massive amounts of data from many sources, sprint it through analytics and from there derive insights.

    Watson can aggregate data on chemical properties and structures, as well as genetic, metabolic and proteomic information, and perform research on more than seven million diseases. Watson can too mine data to identify patterns more easily than conventional systems.

    Apple

    Although some may arbiter Apple was featured in the report because of the Apple Watch, that’s only partake of the story. The report focused on Apple too because the company has established stringent privacy controls and because it is a key player in mass aggregation of health-related data. arbiter about not only the Apple Watch but too the Apple Health app, HealthKit and ResearchKit. Altogether, these applications benefit get great scale storage and analysis of health data possible, the report said.

    Merrill Lynch’s analysts too illustrious that the Apple Watch is an considerable component of Apple’s attempted penetration into the healthcare industry.

    Fitbit

    Fitbit is an industry leader in wearable fitness trackers and the report notes that the products’ gregarious features benefit users become more active, score more exercise, sleep better and eat healthier. Fitbit trackers absorb too proliferated in the workforce. Fitbit’s corporate wellness program now has more than 1,000 corporate customers; the report illustrious that the total market could attain $10 billion by 2020.

    Furthermore, Fitbit has partnered with two of the largest U.S. health insurers, the report said, for two early stage programs. One focused on diabetes management and the other on weight management.



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