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M2020-615 exam Dumps Source : IBM business Analytics Performance Management Sales Mastery Test v2

Test Code : M2020-615
Test denomination : IBM business Analytics Performance Management Sales Mastery Test v2
Vendor denomination : IBM
exam questions : 47 real Questions

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IBM IBM business Analytics Performance

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

agencies possess a wealth of useful facts on their enterprise methods. Ideally, choices may silent exist derived from this information because it’s generated to aid today’s real-time company needs. Deriving insight from old-fashioned records can lead to terrible fine decisions and probably uncertain actions. This might allow fraud and cyber criminals to exploit that facts and the programs. It may additionally influence in lost salary via ignored revenue alternatives. in a similar fashion, the identical may exist talked about of now not being in a position to anatomize statistics quick ample.

IBM Db2 Analytics Accelerator for z/OS (Accelerator) can back tackle each of these challenges. originally, it enables queries to exist carried out on existing transactional facts with puny or no influence to operational gadget efficiency. Secondly, the Accelerator can drudgery to drastically ameliorate the performance of apropos queries customarily present in analytics functions.

The Accelerator is designed for top-pace evaluation of commercial enterprise records. it may assist reduce operational charge and complexity by bringing the analytics closer to the statistics and enabling close precise-time analytics on transactional facts as it’s generated. The Accelerator transforms the IBM Z platform perquisite into a hybrid transaction and analytical processing (HTAP) environment. it can carry high-velocity processing for complicated, resource-intensive Db2 queries to back company-crucial reporting and analytic workloads.

Flexibility and performance with Db2 Analytics Accelerator edition 7.1

The Accelerator has been attainable for a number of years and is used by using IBM Z shoppers across many industries to assist velocity complicated queries on enterprise-important facts, without having to circulate that records to a different platform for analytics. Executing transaction and analytical workloads simultaneously on the same platform can assist gash back latency whereas leveraging the safety capabilities of the IBM Z platform. Analytical processing doesn't humiliate transactional workload efficiency as a result of transactional and analytical queries are every processed inside sunder compute resource swimming pools.

As depicted in figure #1, the Db2 Analytics Accelerator version 7.1 promises two deployment alternatives, both on the IBM built-in Analytics device (IAS) and/or without laggard on the IBM Z mainframe.

determine #1: committed outfit (Accelerator on IAS) or indigenous on IBM Z (Accelerator on IBM Z) selecting the best option

The Db2 Analytics Accelerator for z/OS version 7.1 provides the alternative to install the kind component that most closely fits an organization’s requirements:

  • Db2 Analytics Accelerator on IAS permits organizations to set up on the IBM built-in Analytics system appliance. This pre-configured providing contains hardware (compute, storage, and networking) and software for effortless deployment, management, and immoderate efficiency. It besides presents security-wealthy, bendy and elastic statistics storage this is each smooth to set up and manage.
  • Db2 Analytics Accelerator on IBM Z makes it feasible for corporations to set up directly on the IBM Z mainframe, within a comfy service Container leveraging built-in Facility for Linux (IFL) processors. This allows for deeper integration with the IBM Z infrastructure. This altenative can besides present bendy capability to respond to height analytic workload necessities while meeting SLAs. It supports a subset of SQL, executable in Db2 for z/OS. Basing the Accelerator on Db2 Warehouse allows improved employ of the supported SQL as a result of more suitable SQL compatibility throughout the Db2 family.
  • both deployment alternatives are in accordance with IBM’s analytical engine, Db2 Warehouse. This helps guarantee a uniform journey with one API and database engine. It enables corporations to deserve investments as soon as in enabling their purposes and workloads for the Accelerator and then transition readily between deployment alternatives. The IBM Db2 Warehouse provides perquisite here benefits:

  • better SQL compatibility across the entire Db2 household of products.
  • Columnar expertise supplying faster efficiency for a lot of analytic queries than outdated models.
  • Containerized strategy can facilitate quicker, less difficult integration with different technologies and processes.
  • Deployment on IAS

    IBM Db2 Analytics Accelerator on IAS is a next-generation hardware appliance. It offers its add-ons out of the container, together with optimized hardware and utility. This deployment altenative promises a balanced, superior, efficiency-optimized configuration. The hardware contains the rack, the actual servers and storage. it is based on IBM vigour hardware and is optimized for rate/efficiency. The utility stack contains the Linux working gadget, Docker utility, Docker container and infrastructure management facilities.

    Deployment on IBM Z

    IBM Db2 Analytics Accelerator on IBM Z situations can besides exist deployed promptly by means of a down load & fade method. Deploying the Accelerator on IBM Z packages the utility stack into an IBM relaxed provider Container (SSC) rational partition (LPAR). This helps carry a self-managed outfit operating in a SSC LPAR that can besides exist deployed in minutes.

    diverse comfy provider Containers can participate the same IFLs. multiple Accelerators, for this reason, can participate the equal hardware substances. This will besides exist advantageous for a few production, and test/building circumstances, which could exist provisioned and re-provisioned as crucial.

    The Accelerator on IBM Z integrates into an organization’s IBM Z environment and leverages the typical LPAR-memory and CPU administration strategies. This strategy besides leverages the firm’s personal disk to shop Accelerator-facet statistics. This option is for businesses that requisite to pick potential of IBM Z facilities for actions comparable to catastrophe healing and makes it feasible for for deeper integration with the IBM Z infrastructure.

    abstract and subsequent Steps

    When actual-time perception concerns, IBM Z, together with Db2 for z/OS and the Db2 Analytics Accelerator, can aid convey a magnificent transaction and analytical atmosphere.

    it will possibly assist companies pick expertise of their commercial enterprise records where it originates to drudgery to power immoderate influence choices whereas minimizing latency, simplifying infrastructure, assisting to in the reduction of the cost of such IT infrastructure and enhancing information safety. it can back circle statistics into insight, and insight into casual to give near precise-time answers to one of the most most indispensable questions.

    To exist trained more about IBM Db2 Analytics Accelerator edition 7.1, click on here.

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

    observe me: @astorino_steven


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

    No effect discovered, are attempting new keyword!in addition, IBM's analytics displayed a strong performance in the third quarter of 2018, pushed with the aid of facts science offerings and IBM Cloud private for information providing. IBM is restructuring its business to ...

    IBM’s plan to carry computing device studying Capabilities to facts Scientists in everysingle 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 business anticipates that the world’s extent of digital facts will exceed forty four zettabytes, an fabulous number. As organizations start to recognize the great, untapped edge of statistics, they requisite to discover a means to deserve the most it. Enter AI.

    IBM has worked to build the industry’s most comprehensive facts science platform. integrated with NVIDIA GPUs and software designed specifically for AI and probably the most data-intensive workloads, IBM has infused AI into choices that purchasers can access even with their deployment mannequin. these days, they pick the subsequent step in that journey in saying the next evolution of their collaboration with NVIDIA. They plan to leverage their new statistics science toolkit, RAPIDS, throughout their portfolio so that their customers can multiply the performance of machine getting to know and facts analytics.

    Plans to advertise GPU-accelerated desktop discovering encompass:

  • IBM POWER9 with PowerAI: to leverage RAPIDS to extend the options attainable to records scientists with new open source computing device discovering and analytics libraries. Accelerated workloads hold been proven to derive an immediate improvement from the exclusive engineering that NVIDIA and IBM hold performed around POWER9, together with integration of NVIDIA NVLink and NVIDIA Tesla GPUs. PowerAI is IBM’s software layer, which optimizes how these days’s information science and AI workloads dash on these heterogeneous computing systems. Their direct is for this better performance trajectory for GPU-accelerated workloads on POWER9 to continue with RAPIDS.
  • IBM Watson Studio and IBM Watson laptop studying: to pick knowledge of the vigour of NVIDIA GPUs so that statistics scientists and AI builders can build, deploy, and dash faster fashions than CPU-most effective deployments of their AI applications in a multicloud atmosphere with IBM Cloud inner most for information and IBM Cloud.
  • IBM Cloud: to users who pick machines outfitted with GPUs so one can exercise accelerated desktop gaining knowledge of and analytics libraries in RAPIDS to their cloud functions and tap into the advantages of desktop discovering.
  • IBM and NVIDIA’s shut collaboration through the years has helped leading organizations and organizations everywhere address one of the most world’s greatest complications,” stated Ian Buck, vp and prevalent supervisor of Accelerated Computing at NVIDIA. “Now, with IBM taking skills of RAPIDS open-source libraries announced these days by artery of NVIDIA, GPU accelerated laptop gaining knowledge of is coming to facts scientists, helping them anatomize massive data for insights quicker than ever viable earlier than. Recognizing the computing energy that AI would need, IBM became an early recommend of facts-centric techniques. This approach led us to deliver the GPU-geared up pinnacle gadget, the area’s most powerful supercomputer, and already researchers are seeing huge returns. previous within the year, they verified the expertise for GPUs to quicken up desktop researching when they showed how GPU-accelerated computer discovering on IBM punch programs AC922 servers set a new quicken checklist with a 46x improvement over previous effects.

    as a result of IBM’s commitment to bringing accelerated AI to clients across the technology spectrum, exist they clients of on-premises, public cloud, private cloud, or hybrid cloud environments, the business is positioned to carry RAPIDS to clients in spite of how they are looking to access them.

    Hillery Hunter is an IBM Fellow and CTO of Infrastructure within the IBM Hybrid Cloud company. ahead of this role, she served as Director of Accelerated Cognitive Infrastructure in IBM analysis, leading a team doing move-stack (hardware via utility) optimization of AI workloads, producing productivity breakthroughs of 40x and better which were transferred into IBM product choices. Her technical hobbies hold always been interdisciplinary, spanning from silicon know-how via device utility, and he or she has served in technical and management roles in remembrance technology, systems for AI, and different areas. She is a member of the IBM Academy of expertise.

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    M2020-615 IBM business Analytics Performance Management Sales Mastery Test v2

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    Killexams.com M2020-615 Dumps and real Questions

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    M2020-615 exam Dumps Source : IBM business Analytics Performance Management Sales Mastery Test v2

    Test Code : M2020-615
    Test denomination : IBM business Analytics Performance Management Sales Mastery Test v2
    Vendor denomination : IBM
    exam questions : 47 real Questions

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    Analytics Beyond Spreadsheets

    For many years, Microsoft surpass and other spreadsheets were the tools of altenative for business professionals who were looking to visualize their data. But spreadsheets had their limits for many business intelligence (BI)-related tasks. Even today, trying to creating charts analyzing tangled datasets in surpass can silent exist frustrating. Sometimes you start with the wrong kind of data, for example, or you may not know how to exploit 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 effective tools that people of everysingle skill levels can employ to deserve sense of the wealth of information created by businesses every solitary day.

    Spreadsheets besides topple down when the data isn't well-structured or can't exist sorted out in spotless rows and columns. And, if you hold millions of rows or very sparse matrices, then the data in a spreadsheet can exist painful to enter and it can exist difficult to visualize your data. Spreadsheets besides hold 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 same spreadsheet.

    A spreadsheet containing up-to-the-minute data can besides exist a problem, particularly if you hold exported graphics that requisite to exist refreshed when the data changes. Finally, spreadsheets aren't advantageous for data exploration; trying to spot trends, outlying data points, or counterintuitive results is difficult when what you are looking for is often hidden in a long row of numbers.

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

    This is everysingle a long-winded artery of saying that when businesses employ a spreadsheet, they are actively sabotaging themselves and their capacity to consistently derive valuable insights from their data. BI tools are specficially designed to assist businesses better understand their data, and can prove to exist a huge benefit to those upgrading from what a limited spreadsheet can do.

    What Is business Intelligence?

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

    BI is an umbrella term meant to cover everysingle of the activities necessary for a company to circle 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 multiply 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 Do 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 constant progression towards more in-depth knowledge about the business, competitors, customers, industry, market, and suppliers, to denomination just a few feasible metric targets. But as businesses grow and their information stores balloon, the capturing, storing, and organizing of information becomes too large and tangled to exist entirely handled by mere humans. Early efforts to Do 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 certain operations or software buckets. This was the case unless IT took on the task of integrating various silos, typically through painstaking and highly manual processes.

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

    Self-Service BI and Data Democratization

    The BI tools that were celebrated half a decade or more ago required specialists, not just to employ but besides to interpret the resulting data and conclusions. That led to an often inconvenient and fallible filter between the people who really needed to derive 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 business whose data they were analyzing. That led to a focus on data the company didn't need, a misinterpretation of results, and often a progression of "standard" reporting that analysts would dash on a scheduled basis instead of more ad hoc intelligence gathering and interpretation, which can exist highly valuable in fast-moving situations.

    This problem has led to a growing new trend among new 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 exist 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 implement arsenal, but IT no longer acts as a bottleneck to every query and report request.

    As a result, users can pick edge of this distributed BI model. Key tools and censorious data hold moved from a centralized and difficult-to-access architecture to a decentralized model that merely requires access credentials and familiarity with new BI software. This results in a entire new kind of analysis becoming available to the organization, namely, that of experienced, front-line business people who not only know what data they requisite but how they requisite to employ it.

    The emerging crop of BI tools everysingle drudgery difficult at developing front-end tools that are more intuitive and easier to employ than those of older generations—with varying degrees of success. However, that means a key criteria in any BI implement purchasing decision will exist to evaluate who in the organization should access such tools and whether the implement is appropriately designed for that audience. Most BI vendors attest they're looking for their implement suites to become as ubiquitous and smooth to employ for business users as typical business collaboration tools or productivity suites, such as Microsoft Office. notany hold gotten quite that far yet in my estimation, but some are closer than others. To that end, these BI implement suites mind to focus on three core types of analytics: descriptive (what did happen), prescriptive (what should chance now), and predictive (what will chance later).

    What Is Data Visualization?

    In the context of BI software, data visualization is a hasty and effective way of transferring information from a machine to a human brain. The notion is to spot digital information into a visual context so that the analytic output can exist quickly ingested by humans, often at a glance. If this sounds enjoy 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 gain more granular information on one or more aspects incorporated in the bigger picture. For example, new values can exist added that will change the visualization on the fly, or the visualization is actually built on rapidly changing data that can circle a static visual into an animation or a dashboard.

    The best visualizations Do not search artistic awards but instead are designed with office 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 peek impressive at first glance but, if your audience needs assist 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 proffer 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 besides third-party and even free data visualization tools that can exist 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 business analyst. But I besides kept in intellect the viewpoint of users who might hold no familiarity with data processing or analytics. I loaded and used the same data sets and posed the same queries, evaluating results and the processes involved.

    My direct was to evaluate cloud versions alone, as I often Do analysis on the Fly or at least on a variety of machines, as Do 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 instance of this is Tableau Desktop, a favorite implement of Microsoft surpass users who simply hold an affinity for the desktop implement (and who just dawdle to the cloud long enough to participate 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 implement over a web implement anyway." Again, I don't doubt Microsoft's title but that does look weird 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 implement preference is a bit more personal than fact-based, but to each his own.

    Then there's Google Analytics, a pure cloud player. The implement is designed to anatomize 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 institute them, simply to let buyers know they exist. IBM Watson Analytics is one implement with the capacity to extend to highly advanced features and was besides one of the easiest to employ upfront. IBM Watson Analytics is well-suited for business analysts and for widespread data democratization because it requires little, if any, knowledge of data science. Instead, it works well by using natural language and keywords to form queries, a characteristic that can deserve it valuable to practically anyone. It's highly intuitive, very powerful, and smooth to learn. Microsoft Power BI is a strong second as it, too, is powerful while besides familiar, certainly to any of the millions of Microsoft business users. However, there are several other powerful and intuitive apps in this lineup from which to choose; they everysingle hold their own pros and cons. We'll exist 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 handle streaming data. For many users, that won't exist a problem in the immediate future. However, for those involved with analyzing business processes as they happen, such as website performance metrics or customer deportment patterns, streaming data can exist invaluable. Also, the Internet of Things (IoT) will drive this issue in the near future and deserve streaming data and streaming analytics a must-have feature. Many of these tools will hold 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 huge Data

    Another belt in which self-service BI is taking off is in analyzing huge Data. This is a newer development in the database space but it's driving tremendous growth and innovation. The denomination is an apt descriptor because huge Data generally refers to huge data sets that are simply too huge to exist 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 convivial media tools (to denomination a few) that hold become so celebrated over the final several years.

    Not only Do these tools generate loads of new data, they besides often generate a new kind 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 kind of data is massive on text (even free-form text) while besides containing more easily defined data, such as dates or credit card numbers. Examples of apps that generate this kind of data embrace the customer behavior-tracking tools you employ to observe 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 convivial 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 new information at all. Traditional data warehouse tools generally weren't designed to either manage or query unstructured data. new data storage innovations such as data lakes are emerging to decipher for this need, but organizations silent 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 huge Data analysis standards. The golden yardstick here is Hadoop, which is an open-source software framework that Apache specifically designed to query large data sets stored in a distributed mode (meaning, in your data center, the cloud, or both). Not only does Hadoop let you query huge Data, it lets you simultaneously query both unstructured as well as traditional structured data. In other words, if you want to query everysingle of your business data for maximum insight, then Hadoop is what you need.

    You can download and implement Hadoop itself to execute your queries, but it's typically easier and more effective to employ 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, everysingle back this. However, each requires varying levels of configuration or even add-on tools to Do so—with IBM, Microsoft, and Tableau offering exceptionally profound capabilities. However, both IBM and Microsoft will silent expect customers to utilize additional tools around aspects such as data governance to ensure optimal performance.

    Finding the perquisite BI Tool

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

    Getting the overall workflow down with these tools will pick some study and discussion with the people you'll exist 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 hold 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 stay there.

    In recent years, companies hold 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 indispensable to deserve confident that your employees actually know how to employ these BI platforms so that you can deserve confident your investment was worthwhile. There are many ways of approaching this, but using the perquisite online learning platform might exist a advantageous spot to start looking.

    Given the wide price purview of these products, you should segment your analytics needs before you deserve 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 deserve it smooth to derive started. Plus, they mind to hold large ecosystems of add-ons and partners that can exist a cost-effective replacement for doing BI inside a spreadsheet. Tableau Desktop silent has the largest collection of charts and visualizations and the biggest ally 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, everysingle three products received their Editors' altenative award. Tableau Desktop may hold a huge price tag depending on which version you pick but, as previously mentioned, it has an exceptionally large and growing collection of visualizations plus a manageable learning curve if you're willing to consecrate some pains to it. Microsoft Power BI and Tableau Desktop besides hold large and growing collections of data connectors, and both Microsoft and Tableau hold their own sizable communities of users that are vocal about their wants and needs. This can carry a lot of weight with the vendors' development teams so it's a advantageous notion to disburse some time looking through those community forums to derive an notion where these companies are headed.

  • Pros: Extremely user-friendly. bizarre automatic report generation. Impressive back availability.

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

    Bottom Line: Zoho Reports is a solid option for common business users who might not exist knowledgeable in analytics software. It's besides available at an attractive price.

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

    Cons: Unable to Do real-time streaming analytics.

    Bottom Line: IBM Watson Analytics is an exceptional business intelligence (BI) app that offers a strong 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' altenative 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' altenative honor for its impressive usability, top-notch data visualization capabilities, and superior compatibility with other Microsoft Office products.

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

    Cons: replete 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 exist too difficult for self-service business intelligence (BI). Analytics process silent needs to exist ironed out. Natural language capability can exist limited.

    Bottom Line: Sisense is a complete platform that should exist celebrated 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. precipitous learning curve. Unwelcoming to new analysts.

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

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

    Cons: Customer back has artery too much automation. Focus on marketing and advertising can exist 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 denomination in website and mobile app intelligence. It has a precipitous learning curve but it is an awesome business intelligence tool.

    Read Review
  • Pros: Designed with common business users in mind. Solid recur on investment.

    Cons: The data you can employ 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 deserve it an attractive offering.

    Read Review
  • Pros: Real-time analytics for Internet of Things (IoT) and streaming data features. Massive ecosystem with plentiful extenders. Responsive pages deserve 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 business already uses SAP's HANA database platform or some of its other back-end business platforms, then SAP Analytics Cloud is a powerful, well-priced choice. But exist warned that there's a precipitous learning curve and a celebrated dependence on other SAP products for replete functionality.

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

    Cons: Poorly designed user interface. precipitous learning curve.

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

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

    Cons: Very expensive. Not for diminutive teams.

    Bottom Line: Looker is a mighty self-service business intelligence (BI) implement that can assist unify SQL and huge Data management across your enterprise.

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

    Cons: tangled pricing is a deterrent.

    Bottom Line: Qlik Sense Enterprise Server is a self-service business intelligence (BI) implement that delivers the best collection of user access roles among the BI tools they tested, and besides 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 exist costly.

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

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

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

    Bottom Line: While Tibco is silent making the transition from a desktop to a cloud software vendor, its self-service business intelligence (BI) implement Tibco Spotfire is a mighty artery to start visualizing your surpass data.

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

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

    Bottom Line: Clearify QQube is the best self-service business intelligence (BI) implement for in-depth analysis of your Intuit QuickBooks files, though you'll requisite to peek 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 exhibit their gratitude to their dealers,” Jon Adams, DMP dealer development manager, told a margin replete 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 fair 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 everysingle attendees. The other featured speaker was former Southwest Airlines senior flat leader, Jason Young, author of the books The Culturetopia effect and Servicetopia.

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

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

    Jeff Britton, DMP’s VP of product design, besides walked attendees through DMP’s Tech App Platform, which was “developed to redeem time on new installs and service calls and really to purge some of the service calls you are having to deserve today. The platform will continue to grow because they feel there are a lot of things that your techs should exist able to Do perquisite 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 affection these guys!—talked about how the company plans to bring the same innovation and “magic” that it brought to camera technology to other products, such as its Network Speakers, which deserve up an integrated audio system that is ideal for retail settings. Axis besides teamed up with Cognimatics to develop analytic capabilities for its fair View People Counter, which is besides ideal for retail environments, providing valuable business intelligence data.

    Gren besides 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 deceptive alarms. The Company is besides previewing at ISC West a selection of products that will exist launched later this year, including new towering resolution fixed domes in AXIS M30 Series, AXIS P32 Series, and AXIS Q35 Series. Axis besides unveiled its AXIS FA progression with modular cameras for highly discreet, cost-efficient video surveillance, and three new additions to AXIS P13 progression that proffer 4K resolution in replete frame rate and that enable coverage of large areas with towering image detail.

    Following the breakfast I headed to the exhibit floor, which was abuzz with towering 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 pile infrastructures. Manny Linhares, director of strategy, IoT, told me about Eliot, a Legrand global IoT program, that “brings the promise of interoperability, providing the pile 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 frosty new capabilities. Kevin Woodworth, director of technical account management, pointed out that the panel is the culmination of “all of the lessons they erudite from their first panel, and what they erudite 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 crash detector, dual path connectivity and Bluetooth disarming, to denomination 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. everysingle three cameras integrate with FLIR United VMS 8.0 and expand the company’s end-to-end line of security solutions. I besides 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 celebrated video management software. TruVision Navigator 7 now works seamlessly with Interlogix TruPortal access control systems and IFS network switches, allowing discontinuance 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 influence security. He aptly pointed out, “We are producing data, not products today,” noting that the key as they dawdle forward as an industry is “bringing everysingle 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 preserve by Feenics platform that delivers scalability, flexibility and advanced security. The new cloud-based access control as service (ACaaS) platform integrates indigenous visitor management, and incorporates RESTful API that dramatically simplifies integrating complementary systems plus connecting preserve to applications outside of the organization. Built specifically for the cloud and hosted by Amazon Web Services, preserve 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 new predictive analytics and censorious reporting capabilities. The company announced a breakthrough in connecting brilliant power management analytics to leading software manufacturers directly through genuine Mercury Security hardware.  “This truly enhances and expands the potential for systems integrators to proffer remote power management to customers who will benefit from predictive analysis and circumstantial reporting on the health and well-being of their solutions,” said Holland.

    I besides met with Glen L. Smith, director, dealer operations, ADT, who told me about the mighty strides the ADT Dealer Program has made in the past year alone. In the belt of back for dealers, the company went from a net promoter score of -9 to 76 in just 18 months. How did they Do this? “We asked their dealers what was broken,” said Smith, who celebrated that response time was a huge 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 new 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 exist configured as a door/window contact, water or tilt sensor. Bosch besides introduced In-Store Analytics, a solution to provide retailers with valuable insights on store traffic for improving operations, customer tryst and sales.

    At the Alarm.com booth, Brian Lohse, director, commercial sales, talked about the company’s strategy to pick 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 assist its dealer partners extend their footprint in the smart home. Alarm.com has besides extended 4G LTE communications capabilities.  In addition, Alarm.com highlighted its business 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 huge announcements for the company at the show, including Arecont Vision SNAPstream bandwidth reduction technology that supports multiple new 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 final 12-18 months “transforming and repositioning the company” for the future. “We hold been making changes across the entire organization for the final brace of years, from technology developments to new sales, back and operations programming,” said Feliciano. Pelco besides showcased several new 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 new products, including its new NetWay Spectrum Fiber Solutions, its eBridge 800E EoC Receiver with Integral PoE Switch and its expanded NetWay Line with new managed midspans and endspans.

    Day Three

    I started day three at the Allegion Trends Talk breakfast, where I was able to discourse 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 new technology,” he said. “I create the chaos that the company has to deliver on.” Product wise, the company’s Engage platform is expanding to embrace many more products, “so that flat 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 back system provides organizations with heightened levels of situational intelligence, visualization, and complete incident management capabilities. He besides pointed to how the company’s Retail Intelligence application provides business intelligence and operational efficiencies. The company besides highlighted the latest capabilities of its Synergis access control system, Part of its Security hub 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 new policy-based identity management system that delivers an smooth to use, automated software platform to manage employee, contractor and visitor identities, fullfil regulatory audit and compliance requirements and reduce the administrative costs of the security team. When used with Symmetry Access Control, organizations hold a robust identity management system that utilizes data to secure people, property and assets, and automates business 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 new indoor Location Services for workforce optimization, which won the SIA new Product Showcase award. The Location Services provide organizations with visibility into the location of their workforce in a facility, making it feasible to anatomize margin usage for better pile management and increased operational efficiency. He besides spoke about how the company is leveraging Bluetooth low energy (BLE) for new 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 commence 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 mighty 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 besides talked about the technology partnership with Hikvision to deliver customers a seamless and cybersecure cloud video surveillance solution. Eagle Eye besides highlighted that is has added Camera Cyber Lockdown to everysingle its products, which blocks cameras from communicating with the Internet, stops them from being attacked and compromised. Drako besides spoke about the company’s implementation of two-factor authentication, which “will exist the yardstick for the industry affecting 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 besides 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 new IDIS 12MP Super Fisheye Camera. besides featured were new 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 besides 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 everysingle of the new features and capabilities of the Wisenet 5 chip, which was unveiled recently. The new chip powers the Wisenet X series, a new product line that features 27 models split up between 2MP and 5MP camera lines. Features embrace 150dB WDR performance and clear images in extreme low light conditions, convenient USB port is besides 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 besides 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 everysingle of the enhanced capabilities that profound learning can provide. The company announced that it is working with NVIDIA to bring synthetic intelligence (AI) functionality to its next-generation profound learning products. Equipped with NVIDIA GPUs, the Dahua DeepSense advanced high-capacity video analytics server provides profound learning capabilities. The technology delivers a powerful, scalable way of extracting loaded metadata and processing structural data to deliver hasty and accurate analytics. Dahua besides 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 enjoy 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 army of solutions, in any setting, from schools to airports to military and government applications. He besides talked about his dedication to educating customers on how to pick the perquisite system, and he created a scorecard to follow. He celebrated that it is indispensable to hold 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 new 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 besides showed the DSC iotega, the company’s new innovative security and lifestyle management platform. A full-featured security technology, iotega facilitates home automation enhancements and add-ons via software apps. The company besides 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 warning signals, and how its EntraPass fade back for Apple Watch is the “industry’s first Apple Watch mobile credential that allows card holders to employ 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 outfit from being damaged by power surges, saving money in the process. Jorge Andino, sphere sales engineer, pointed out that the company does this by providing a site survey for each project, giving that customer the perquisite surge protection outfit to meet their needs. “Our surge protection outfit 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 new 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 yardstick 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 pick feedback from customers to add new features and deserve their products easier to use,” said Lawson. In addition to an improved motherboard powering its systems, the company is unveiling a new enterprise-based software system. And its Asset Watcher, which the company tested exhaustively over the past year, is set to arrive out soon as well.

    At the Pivot3 booth, I spoke with Brandon Reich, surveillance business leader, about the company’s strategic original outfit manufacturer (OEM) relationship with brilliant Security Systems (ISS), an innovator in the development 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 mighty 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 arrive 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 indigenous 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 back record sales growth. The company besides announced the expansion of its product-training schedule, with more programs and locations. And, soon, Boon Edam will proffer 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 exhibit news, including the company’s new integrated, hosted video and access control solution for the SMB market and the company’s partnership with Bold Technologies to proffer 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 besides announced the release of a new 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 huge announcements at the show, including the company’s expanded portfolio of i-PRO Extreme Surveillance Technology and its new i-PRO Extreme PTZ Camera with Advanced Analytics, as well as its latest video surveillance solutions. The i-PRO features a new 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 execute real-time censorious analysis,” he said. John Carter, the CTO of ReconaSense, is a former NASA engineer. The software leverages the IoT and huge 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, deportment analysis, video analytics, anomaly detection, facial recognition, hasty forensics, parking management and robotics.

    NOTE: In addition to daily reports, peek for ssnTVnews video interviews from the exhibit 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 indispensable trends, the three tech giants were singled out because they are positioning themselves to exist leaders in predictive analytics and huge 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 besides celebrated that not only hold IBM’s shares risen in 2016, but besides that Watson can pick massive amounts of data from many sources, dash 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 execute research on more than seven million diseases. Watson can besides 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 Part of the story. The report focused on Apple besides 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 besides the Apple Health app, HealthKit and ResearchKit. Altogether, these applications assist deserve large scale storage and analysis of health data possible, the report said.

    Merrill Lynch’s analysts besides celebrated that the Apple Watch is an indispensable 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’ convivial features assist users become more active, derive more exercise, sleep better and ingest healthier. Fitbit trackers hold besides proliferated in the workforce. Fitbit’s corporate wellness program now has more than 1,000 corporate customers; the report celebrated that the total market could gain $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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