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C7020-230 IBM Watson V3 Application Development

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C7020-230 exam Dumps Source : IBM Watson V3 Application Development

Test Code : C7020-230
Test name : IBM Watson V3 Application Development
Vendor name : IBM
: 63 actual Questions

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IBM IBM Watson V3 Application

Taking A Fresche approach To IBM i-Watson training | actual Questions and Pass4sure dumps

February 4, 2019 Alex Woodie

there's a huge statistics analytics revolution taking belt that threatens to divide the AI haves from the have-nots. organizations that elope the IBM i server wish to ensnare in on the analytics motion similar to everyone else, but AI discussions commonly stray far from IBM i. Now Fresche options is working to shut that disconnect with a collection of academic lessons centered squarely on the intersection of IBM i and Watson.

ultimate year, Fresche options labored with IBM ultimate 12 months to location collectively a collection of onsite training seminars aimed toward giving IBM i professionals the tutorial gear they should implement Watson of their groups. The onsite classes believe been so a success that Fresche decided to parlay that content into a string of on-line classes that IBM i professionals can entry at their entertainment via their net browser.

Fresche produced a complete of six courses which are divided into two lessons, which can exist bought separately or as fragment of a bundle. replete classes amalgamate a combination of lectures and demos, and are accessed remotely via Fresche’s practising site at

The instructor for the courses is Mike Pavlak, the Fresche IT strategist and IBM Champion. according to Pavlak, the first direction, which is titled “Connecting IBM i functions to Watson,” is geared toward utility developers, while the second course, titled “Connecting IBM i statistics to Watson,” is geared toward statistics engineers and records scientists.

the first route starts with a simple introduction to Watson, before entering into extra superior issues in the 2nd phase, akin to using cleaning soap and leisure APIs to connect IBM i purposes to Watson. in the third phase, attendees ensnare in-depth sheperd on a artery to disburse open source analytics applications, corresponding to Python, with Watson and their IBM i purposes.

The 2nd path starts with the fundamentals of growing database connections between IBM i and Watson, in addition to accessing audit journals and using Watson to investigate sociable media. The 2d segment offers developers greater advanced guidelines on one of the underlying HTTP and JSON suggestions. The third segment publications attendees throughout the technique of constructing a real-world application that involves information marts, ETL, and Watson’s computer researching tech.

Fresche is providing six courses about IBM i and Watson throughout two classes.

The name “IBM Watson” may additionally conjure up replete kinds of ideas in individuals’s minds, however’s in reality no longer replete that advanced, in keeping with Pavlak. “Watson is essentially an internet provider,” he says. “It’s application as a service. That’s it. That’s replete it's.”

The service can finish lots of issues, from fundamental sample cognizance and facial attention to “full on information analytics,” Pavlak continues. “but it’s basically a service-oriented offering — meaning, if you requisite to disburse Watson, you’re going to requisite to shove your statistics and query it questions and then ensnare a response lower back and parse that as you remark healthy.”

The classes are first rate for any one who wishes greater counsel on how Watson applied sciences can integrate with IBM i purposes. however Pavlak wants to compose sure that the talents is applicable to different applied sciences, and is useful in other contexts, too.

“We’re going to through no longer just RPG basics in the classification, but also tips on how to leverage Watson from open source tech, and a few of these newer applied sciences dote Python, personal home page, and so on,” he says. “There’s a lot of Python that makes up the laptop researching and abysmal gaining erudition of space. Watson itself has Python components.”

“What I’m greater involved is how i will leverage Python from my IBM i to leverage Watson. Or how am i able to disburse RPG or personal home page. What I want to compose inescapable valued clientele believe the realizing that they’re now not tied into a specific technology, they’re not locked into ‘Oh my gosh, i will most effectual disburse RPG for this or Python for that.’ you believe flexibility and alternatives obtainable.”

In developing the curriculum, Fresche labored greatly with the IBM Cognitive group, as well as with IBM leaders from the Rochester lab, including DB2 for i company architect Scott Forstie and Jesse Gorzinski, IBM i open supply company architect. “They had been instrumental in assisting us,” says Fresche solutions senior director of advertising Christine McDowell.

The on-line classes had been accessible considering that early October, and Fresche is now ramping up the recognition campaign to generate demand. “We’re actually excited about this,” McDowell says. “here is everything you want to learn about Watson.”

Watson can anatomize information to spot developments and compose predictions about a variety of enterprise objects, including the attrition quotes of latest hires.

Alison Butterill, product providing manager for IBM i, says she’s extremely restful to remark the path proceed online. “We’re working intently with Fresche and together we’re leveraging their world attain and wide ally network to compose inescapable that replete and sundry is cognizant of how convenient it's to disburse Watson on IBM i,” Butterill says.

Fresche, which bought BCD software, looksoftware, Databorough, and different celebrated IBM i providers, is primarily concentrated on promoting application used for application modernization. When Fresche engages customers in a modernization initiative, they frequently birth with a discovery phase, which naturally results in strategy and product roadmap phases down the line.

“loads of instances the dialog will flip to records analytics,” McDowell says. “Our pastime is absolutely is making bound that we’re well-versed in what purchasers can finish with AI, and making bound that flows via so they could compose decisions for the longer term.”

offering practicing for IBM Watson is a herbal evolution for Fresche, says Andy Kulakowski, the president and chief govt officer of the Montreal, Quebec-based mostly business.

“We give strategic IT assistance for digital transformation enablement and utility modernization solutions to assist IBM i valued clientele leverage their IT assets,” Kulakowski says. “Our valued clientele grasp capabilities of modern technologies together with AI, cloud, web and cell as gear for achievement. We’re excited to carry training so one can uphold IBM i clients raise productiveness and supply sustainable enlarge for the longer term.”

each and every analytics appointment is challenging to a particular enterprise’s model and its method. but early huge statistics analytics and AI patterns believe emerged, and practitioners are seeing typical subject matters, akin to examining sociable media content, creating enhanced consumer personalization, and optimizing provide chain selections. These are replete areas that are ripe for disruption via AI.

“As corporations appear to exist to modernize, they’re operational efficiencies, they’re taking a survey at providing on greater enterprise cost, they’re taking a survey at aggressive threats,” McDowell says. “They’re looking at where they requisite to exist in five years. technology is an vast fragment of that. It’s a expansive driver. And analyzing what analytics can finish for them is a expansive a fragment of what we’re coping with.”

Fresche’s two lessons are available for $450 every, or a bundle with each can exist purchased for $799. For more suggestions, remark

connected studies

Fresche Takes $60 Million To gasoline increase, Consolidate Market

A Fresche emphasis On features

Fresche Makes bold flow In IBM i Modernization arena

IBM Launches Watson utility Developer Certification program | actual Questions and Pass4sure dumps

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IBM soars as inordinate as 7% after blowing away Wall road expectations and displaying annual profits enlarge for the primary time on the grounds that 2011 | actual Questions and Pass4sure dumps

IBM's inventory soared as inordinate as 7% after maxim revenue that blew away Wall street expectations on the remedy and bottom traces. At $21.seventy six billion, IBM's quarterly revenues slipped some three% from the yr-in the past quarter, but silent stayed forward of analyst expectations.

right here's what IBM suggested:

  • earnings of $21.76 billion. Wall road was trying to find $21.75 billion.
  • EPS of $4.87/share. Analysts had been anticipating $4.84 a share.
  • There turned into more decent information for IBM, anyway: In 2018, its full-year revenue grew 1%, to $seventy nine.86 billion — marking the primary time IBM has viewed annual earnings boom since 2011.

    "In 2018 they back to full-yr salary boom, reflecting transforming into demand for their functions and management solutions in hybrid cloud, AI, analytics and protection," IBM CEO Ginni Rometty observed in an announcement.

    The company's revenues for the quarter were bolstered by using 4% earnings growth, to $4.3 billion, in its world industry capabilities unit compared to the yr-in the past length. world industry functions contains IBM's consulting, utility administration and world technique features companies. That unit became the just one to remark income boom replete the artery through the quarter.

    IBM's expertise functions & Cloud platforms, systems and world Financing agencies had been down, while Cognitive options — the section that comprises its AI systems, together with IBM Watson, as well as discrete database items — turned into flat at $5.5 billion.

    IBM inventory became down 36% in 2018, however the industry is having a stake that its approaching acquisition of crimson Hat for $34 billion in the 2d half of 2019 will build it in a far better location for turning issues around.

    "The client response [to acquiring Red Hat] has been overwhelmingly tremendous," James Kavanaugh, IBM senior vice chairman and chief fiscal officer, said perquisite through the earnings name. "They understand the energy of this acquisition….moreover the transforming into crimson Hat business, they remark the occasion to carry replete of IBM."

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    IBM Watson V3 Application Development

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    Building an IBM Watson bot with Node.js + Botkit | actual questions and Pass4sure dumps

    Bots are fun and useful with fresh businesses being built daily around bot interaction models. They recently launched their fresh Team Messaging API — Glip - at Enterprise Connect and we’re excited to array off more of the capabilities of the platform we’re pile at RingCentral, alongside with IBM Watson Bluemix and Botkit!

    A step-by-step tutorial walking through the Github code is available here!

  • Two free RingCentral Developer accounts
  • A free IBM Bluemix Developer account
  • Creating a fresh RC App

    Login to the RingCentral developer account to create a fresh app. Click on “Create App” which will create your app and auto-create a fresh sandbox account if you don’t already believe one.

    Create App

    Enter the application name and description.

    Add Application Information

    There are two paths for evolution on the RingCentral platform: making a private app which is just for your team, or a public app for public distribution through their App Gallery that others can use.

    Application and Authorization flow

    In the OAuth settings, compose sure the license selected is Glip. This license is required to build chatbots.

    OAuth Settings and Permissions

    Once the account has been created, you will exist redirected to the dashboard. The App Key, App Secret, and the phone number will exist used to play with the bot in the team. deliver it for the next step.

    App Credentials Botkit Setup

    Botkit is one of the most celebrated open-source toolkits for pile bots, providing the essential pile blocks . Botkit supports multiple frameworks, but here they will exist looking at Glip. Glip is currently in review process with Botkit but it can exist install directly from Github. Bot can communicate with your team in three ways:

  • Incoming webhooks: is a simple artery to post messages from external sources in Glip. e.g JIRA bots which post into your team when a fresh ticket has been assigned to you.
  • Slash Command: are custom commands written by developers dote you. They start with a backslash (/) and act as a trigger event to perform some action. Slash commands are currently not available in Glip. They are scheduled to exist available by abide of year.
  • Real Time Messaging API: allows you to dispatch and receive messages from a Glip user.
  • With some theory behind us, let’s start pile their sample application. This instance will focus on getting post messages from a group or team in Glip and pass the message to IBM Watson to accumulate some personality insight.

    What are Personality Insights ?

    According to IBM, “Personality Insights extracts personality characteristics based on how a person writes. You can disburse the service to match individuals to other individuals, opportunities, and products, or tailor their experience with personalized messaging and recommendations. Characteristics comprise the expansive 5 Personality Traits, Values, and Needs. At least 1200 words of input text are recommended when using this service.”

    As a first step, clone the sample application from Github. Now create a copy of the .env.template file and rename it to .env. The file should survey something dote this:


    Then disburse the below code to install replete dependencies including botkit and watson-developer-cloud.

    npm install --save

    Now let’s connect Botkit with Glip using the following code snippet:

    "use strict";


    var Botkit= require('botkit'),os = require('os'),http = require('http'),request = require('request'),watson = require('watson-developer-cloud');

    var controller = Botkit.glipbot({debug: false,});

    var bot = controller.spawn({server: process.env.GLIP_SERVER,appKey: process.env.GLIP_APPKEY,appSecret: process.env.GLIP_APPSECRET,username: process.env.GLIP_USERNAME,password: process.env.GLIP_PASSWORD,extension: process.env.GLIP_EXTENSION,}).startRTM();

    controller.setupWebserver(process.env.port || 3000, function(err, webserver){webserver.get('/', function (req ,res) {res.send(':)');});

    controller.createWebhookEndpoints(webserver, bot);


    controller.hears(['watson'], 'message_received', function (bot, message) {

    bot.reply(message, "hi, this is watson, How can I palliate you ? ");});

    In the above example, when someone mentions “watson” the bot responds back with “Hi, this is watson. How can I palliate you?”.

    Now let’s compose the bot bright by integrating it with IBM Watson’s Personality Insights.

    IBM Watson

    IBM Watson offers AI and Machine Learning services through its Bluemix cloud platform. To ensnare started quickly with Watson and Bluemix, you can create a free account.

    IBM Watson offers many services for AI and Machine Learning. For this example, they will disburse the Personality Insights services. disburse this document to setup and accumulate credentials for Personality Insights.

    Now update the .env file created above with the Personality Insights credentials.


    Initiate Personality Insights API using the snippet below:

    var watson = require('watson-developer-cloud'); var personality_insight = watson.personality_insights({username: process.env.WATSON_USERNAME,password: process.env.WATSON_PASSWORD,url: process.env.WATSON_URL,version: process.env.WATSON_VERSION});

    Now let’s integrate it to the chat-bot logic:

    controller.hears(['analyze'], 'message_received', function (bot,message) {bot.api.posts().get({groupId:}).then(function(history) {

    var messages = [];for(var i=0; i < history.records.length; i++){messages.push(history.records[i].text);}

    var corpus = messages.join("\n");

    personality_insight.profile({text: corpus,language: 'en'},function (err, response) {if(err){console.log('error:', err)}else{controller.startTask(bot, message, function (task, convo) {var top5 = response.personality;for (var c = 0; c < top5.length; c++) {

    convo.say('This channel has ' + Math.round(top5[c].percentile*100) + '% ' + top5[c].name);



    As you can see, when someone says “analyze”, it will accumulate the history of the post messages in the group and dispatch it to Watson to analyze. Watson analyzes the post messages and responds back with the top 5 personality insights based on the post messages history as shown below.

    Personality Insight response from IBM Watson Conclusion

    The goal of the post has been to ensnare developers started with pile bots in Glip with IBM Watson. Personality Insights is just one of the several API’s available in IBM Watson cloud. You could disburse other APIs dote Tone Analyzer, Text to Speech, Conversation … etc. to build more advanced bots that are fun and interesting. The fancy is the limit!

    A step-by-step tutorial is also available here!

    Give it a try, and I more than welcome any kindly of feedback!

    Exploring the best ECM software for your company | actual questions and Pass4sure dumps

    Documents and the information they contain are the stuff of industry activities. Not surprisingly, the ECM marketplace continues to evolve to meet the ever-changing needs of competitive industry operations.

    Enteprise content management products reflect their roots. Some inaugurate as document management applications, intent on simply capturing final form documents -- both arduous copy and electronic -- and providing a shared repository for storing, organizing, accessing and distributing the digital artifacts on demand. Other products focus on the complete content lifecycle -- creating and reviewing, while managing the multiple versions of a document, and then storing the published version within an authoritative repository. A third set of products considers the purpose of content to the transformation of digital industry and focuses on the content services associated with creating and managing industry documents.

    Selecting the best ECM software for a company depends on industry goals and objectives, organizational culture and measure operating procedures. Organizations believe a compass of choices. Here's a snapshot of eight captious vendors to consider while making a buying decision.

    Alfresco Digital industry Platform channels content flows

    Alfresco provides ECM, industry process management (BPM) and records management (RM) capabilities to enterprises. The company's Digital industry Platform consists of three products: Alfresco Content Services, Alfresco Process Services and Alfresco Governance Services. This platform deploys either on premises or in the cloud running on AWS, depending on preferences.

    Alfresco combines open source tools with uphold services rather than turnkey applications. It provides technology partners with the pile blocks for delivering modular and scalable applications, designed around the needs of individual organizations.

    As an open source vendor, the company also delivers Alfresco Community Edition and Activiti, designed for developers who freely want to extend its ECM platform and BPM instrument sets.

    Key capabilities of Alfresco Digital Platform include:

  • access controls for defining user and group permissions to manage document access;
  • checkout/check-in library services;
  • version controls to track changes and enable rollbacks;
  • content sharing for team collaboration;
  • document lifecycle management from creation to disposition;
  • RM that conforms to predefined industry standards;
  • document management stewardship for business-critical documents;
  • mobile content management to synchronize document access;
  • process management tools to streamline cross-company industry processes;
  • social media interfaces for YouTube, Facebook, Twitter, LinkedIn, Flickr and SlideShare; and
  • workflow to palliate developers, administrators and nontechnical industry users design and manage industry processes.
  • Alfresco maintains a network of systems integrators, independent software developers (ISVs), infrastructure providers and resellers that design and deliver the enterprise applications tailored to specific customer requirements.

    Box Platform delivers cloud-native content services for the extended enterprise

    Founded in 2005 and born as a cloud-native provider, Box has steadily transformed its initial file sync and participate into an enterprise-grade content services platform. Box Platform provides a content hub for organizing, securing and sharing content across the extended enterprise. The platform becomes the repository of record where content is stored once, managed systematically and produced on demand to empower industry results.

    Box Platform supports multiple approaches to cloud content management, content sharing and collaboration. As a distributed platform, it is not limited to the checkout/check-in library services and hierarchical access controls of a centralized ECM repository.

    Box provides seamless connectivity to Microsoft Office apps, email attachment uphold for Outlook and Gmail and indigenous uphold for G Suite apps -- Google Docs, Sheets and Slides. Box features an integrated workflow product -- Box Relay -- that automates and standardizes document workflows within the repository.

    Box Platform is a consistent architecture for managing almost any sort of content on a big scale. Beyond text, numbers and images -- the intimate components of industry documents -- content types comprise audio, video, 3D files and many other kinds of loaded media artifacts. It features multiple methods for organizing and accessing content, including several that utilize machine learning technologies.

    Since its inception, Box Platform has excelled in metadata management. Metadata can exist set within the Box web application or programmatically via APIs. Application developers can apply these APIs to develop purpose-built applications that deliver innovative digital experiences.

    Box Platform runs as a cloud-based service that the company hosts in various data centers, located in different geographies around the world. Box Zones enables enterprises to specify geographic locations for hosting to comply with data sovereignty requirements. Box supports multiple security, privacy, compliance and data protection standards, including GDPR, Health Insurance Portability and Accountability Act, Federal Risk and Authorization Management Program/Federal Information Security Management Act and industry-specific trustworthy exercise guidelines.

    Hyland OnBase adds ECM to core imaging and archiving capabilities

    Hyland Software released its first version of OnBase in 1991, in the PC and client/server computing era, as an application for banks to store fiscal reports directly on optical disks. The company has modernized its core product over the years, while continuing its focus on document capture, imaging and archiving capabilities.

    OnBase currently provides a separate database, code basis and central repository for industry documents, so it is the best ECM software for a company looking for numerous places to store data. It encompasses five key components:

  • Capture for scanning arduous copy documents, capturing electronic documents and extracting germane metadata for indexing;
  • Store for securely storing files either in an on-premises repository or in Hyland Cloud -- the company currently maintains nine data centers around the world;
  • Access for managing access controls by people or processes;
  • Manage for applying workflow and BPM capabilities to electronic documents; and
  • Measure for providing reports and real-time views of industry data.
  • OnBase integrates with the latest versions of Microsoft Office and Outlook, SAP and AutoCAD.

    OnBase delivers a central content repository, linking stored documents to transactions in other enterprise applications, such as ERP, accounting and HR systems. It supports back-office processing, case management and information governance and can also manage content coming from transactional systems. Thus, auditors, reviewing invoices for an audit, can easily find supporting contracts and purchase orders, while working within their intimate industry systems.

    Capable of supporting organizations of any size, OnBase includes enhancements to meet the needs of specific upright industries: healthcare, fiscal services, insurance, government and higher education.

    IBM Enterprise Content Management suite tailors content management capabilities to the enterprise

    With experience in the ECM marketplace dating from the 1980s, IBM delivers a set of interrelated ECM products for managing unstructured industry information, while also protecting customers' investments in legacy systems.

    IBM Content Foundation is a fully functional content repository with enterprise-grade security, designed to store, organize and access replete types of industry information. It can exist deployed on premises, in the cloud or in a hybrid environment. Workgroups can access team spaces to collaborate on projects. Content Foundation supports basic enterprise search capabilities.

    IBM FileNet Content Manager extends the capabilities of the core repository and features tools for content lifecycle management, transactional content processing and content consolidation across the enterprise. It includes checkout/check-in library services and other document management capabilities. FileNet features compliance and governance tools for RM, as well as APIs for content-centric application development.

    IBM Watson Explorer delivers cognitive search and content analytics functionality, extending ECM search to comprise intuitive and smart queries of document repositories within an enterprise.

    IBM Content Manager OnDemand provides access to published content collections, such as fiscal statements, insurance policies and other formal industry documents. OnDemand features its own high-performance repository to store and produce these content collections.

    IBM Content Navigator is an extensible, browser-based web client for accessing content stored within ECM repositories from both PCs and mobile devices.

    IBM Datacap provides high-speed scanning and optical character recognition (OCR) extraction to digitize arduous copy documents and store them within a repository.

    IBM industry Automation Workflow enables customers to anatomize content and route industry documents through predefined steps in a industry process. The complete case is then stored within the repository, with replete audit controls.

    Microsoft SharePoint as an extensible ECM platform

    Microsoft SharePoint is a multifarious and extensible ECM platform, designed to manage documents, webpages and other content types. Microsoft launched SharePoint in 2001 to palliate organizations create web portals and team spaces by enhancing Windows file shares and the capabilities of Office products. By 2007, Microsoft had extended SharePoint to comprise key ECM capabilities: library services, access control lists (ACLs), metadata management, indexing, workflow and RM. Current platform versions, SharePoint 2016 and SharePoint 2019, comprise integrated enterprise search capabilities and several features for team collaboration.

    Organizations configure SharePoint to resolve a wide compass of document management, content management and collaboration problems within an enterprise. Organizations deploy SharePoint to produce webpages for both employee-facing and customer-facing websites. SharePoint also delivers blogging and wiki functionality and supports several interfaces for sharing information with sociable media platforms -- publicly through Facebook and LinkedIn, as well as privately through services such as Yammer.

    SharePoint runs both on premises and in the cloud. SharePoint Server is the on-premises package, delivering ECM, industry intelligence and enterprise search capabilities. Designed for organizations of replete sizes, SharePoint Online hosts in the Microsoft Azure cloud and is typically bundled with Office 365 subscriptions. SharePoint also supports hybrid deployments where organizations benefit from the flexibility of the cloud, while maintaining on-premises security for sensitive content.

    Relying on Microsoft OneDrive for Business, SharePoint supports file sync-and-share capabilities with mobile devices. SharePoint 2019 includes a modern user experience, featuring responsive website design capabilities that survey trustworthy and scale appropriately on smartphones and tablets, as well as on full-screen web browsers.

    Finally, the SharePoint platform integrates with many enterprise applications and can manage unstructured industry documents, such as scanned invoices, bills of lading and material safety data sheets, for ERP and CRM applications. SharePoint APIs compose it easy to integrate with applications within the Microsoft ecosystem. SharePoint also supports Content Management Interoperability Services for direct integration with other ECM platforms.

    OpenText Content Suite Platform targets enterprise information management, governance and compliance

    OpenText Content Suite Platform, the company's stalwart ECM product, manages industry documents and other types of unstructured content within an organization. It supports replete content lifecycle capabilities, from creation and capture, to archiving and disposition. Deployed either on premises or in the cloud, the platform delivers a unified, centralized enterprise information management environment, connecting people and processes across an extended enterprise.

    Designed for disburse by big organizations, OpenText Content Suite Platform encompasses eight major components:

  • OpenText Content Server provides a central repository for managing industry documents and other kinds of content. It features enterprise-grade document management capabilities, including library services, multilayer security, access controls, content navigation, enterprise search and workflow. It includes a browser-based, responsive UI that can exist customized by roles and projects and adjust to device screen sizes. The repository also supports content sharing for team collaboration, as well as content reporting for tracking content usage.
  • OpenText Imaging Enterprise Scan supports content capture and OCR indexing from scanners and electronic documents, including faxes, email messages and other report formats.
  • OpenText Enterprise Connect enables users to continue to connect to Content Server directly from desktop applications, such as Microsoft Office and Adobe Acrobat.
  • OpenText Connected Workspaces provides templates and scripts for creating ECM-enabled industry applications. Workspaces incorporates industry information managed by external applications, such as SAP, SharePoint and Salesforce. Workspaces aggregates unstructured content, structured data, people and tasks to uphold a common industry function, such as a sales occasion or a project.
  • OpenText Records Management supports records classification and temperament schedules. It applies RM metadata, classifications and temperament tags to files stored within the repository. Record classifications map to retention schedules and remove records from the collection at the abide of their lifecycle.
  • OpenText Archive headquarters utilizes RM to uphold rules-based, policy-driven archiving and content governance.
  • OpenText Tempo Box provides secure file sync-and-share capabilities with content stored on mobile devices, including remote wiping of mobile content stores.
  • OpenText Directory Services provides centralized enterprise directory services for user management.
  • OpenText provides a compass of evolution tools, so it is the best ECM to enable organizations to develop applications on top of Content Suite and integrate with other enterprise applications. Content Server supports RESTful APIs for integration with web-based services.

    OpenText Documentum manages documents within the enterprise

    OpenText Documentum is an ECM platform for managing industry documents across the extended enterprise. Acquired from Dell EMC in January 2017, it is a highly scalable, fault-tolerant platform. It is the best ECM software for big enterprises with extensive document collections, such as engineering design documents or fresh drug applications, that confidence on Documentum to uphold essential industry operations.

    The Documentum platform includes multiple key components:

  • At its core, Documentum ECM is a shared central repository for securely storing and managing different types of industry documents.
  • Documentum xCP is a evolution platform that includes a loaded set of BPM tools, designed to palliate companies automate high-volume, information-intensive processes, such as case management.
  • Running within a web browser, Documentum D2 provides the UI capabilities for accessing enterprise content stored within the shared repository.
  • The Documentum platform integrates with additional components that address particular industry requirements:

  • Captiva is a set of ECM tools that automate document captureand transform information for content management systems, classifying data for subsequent industry processing.
  • Document Sciences provides tools for producing high-volume personalized documents, such as insurance policies.
  • Syncplicity provides secure file synchronization and sharing capabilities to mobile devices.
  • Documentum provides multilanguage uphold and localization, perhaps making it the best ECM software for globally distributed content management environments. It includes content analytics capabilities to automatically extract metadata and classify content. It offers federated search capabilities to retrieve documents from multiple repositories. The Documentum ECM tools suite supports both proprietary and open source APIs to deliver customized enterprise application environments.

    Oracle WebCenter Content delivers a scalable ECM application

    Many companies find Oracle WebCenter Content as the best ECM software for managing unstructured content across the entire content lifecycle. Oracle WebCenter Content helps enterprises simplify their enterprise application infrastructure by managing industry documents and other content types through a single, consistent application.

    Through Oracle WebCenter Content, businesses overcome information silos where disparate applications manage the content. Companies can enhance their productivity and optimize content distribution, consolidating ECM into a separate application.

    Oracle WebCenter Content features an extensive set of ECM capabilities, including:

  • full library services, including checkout/check-in and version management;
  • ACLs to determine the security and permissions for editing and viewing content;
  • while stored in indigenous formats, document conversion on the waft to other formats, including HTML conversion for web publishing;
  • scanning documents and then utilizing Oracle's OCR tools to produce machine-readable text;
  • tailoring to produce context-specific metadata for content classification;
  • For Microsoft Office users, checking documents into and out of the central repository directly from their desktop applications;
  • mobile apps that compose managed content accessible on smartphones and tablets;
  • document retention and lifecycle management, including uphold for DoD 5015.2-STD v3, a federal RM standard; and
  • embedded workflows to streamline cross-company industry processes.
  • Using prepackaged adapters, Oracle WebCenter Content integrates with many celebrated enterprise applications, including PeopleSoft, Siebel, JD Edwards, Primavera, Microsoft SharePoint and Office 365.

    NVIDIA Delivers Massive Performance Leap for abysmal Learning, HPC Applications With NVIDIA Tesla P100 Accelerators | actual questions and Pass4sure dumps

    Five Architectural Breakthroughs Enable Servers to Deliver Over 12x Greater Performance Than Previous Architecture

    SAN JOSE, CA--(Marketwired - Apr 5, 2016) - GPU Technology Conference -- NVIDIA (NASDAQ: NVDA) today introduced the NVIDIA® Tesla® P100 GPU, the most advanced hyperscale data headquarters accelerator ever built.

    The latest addition to the NVIDIA Tesla Accelerated Computing Platform, the Tesla P100 enables a fresh class of servers that can deliver the performance of hundreds of CPU server nodes. Today's data centers -- vast network infrastructures with numerous interconnected commodity CPU servers -- process big numbers of transactional workloads, such as web services. But they are inefficient at next-generation artificial intelligence and scientific applications, which require ultra-efficient, lightning-fast server nodes.

    Based on the fresh NVIDIA Pascal™ GPU architecture with five breakthrough technologies, the Tesla P100 delivers unmatched performance and efficiency to power the most computationally demanding applications.

    "Our greatest scientific and technical challenges -- finding cures for cancer, understanding climate change, pile bright machines -- require a near-infinite amount of computing performance," said Jen-Hsun Huang, CEO and co-founder, NVIDIA. "We designed the Pascal GPU architecture from the ground up with innovation at every level. It represents a massive leap forward in computing performance and efficiency, and will palliate some of the smartest minds drive tomorrow's advances."

    Dr. John Kelly III, senior vice president, Cognitive Solutions and IBM Research, said: "As they enter this fresh era of computing, entirely fresh approaches to the underlying technologies will exist required to fully realize the benefits of AI and cognitive. The combination of NVIDIA GPUs and OpenPOWER technology is already accelerating Watson's learning of fresh skills. Together, IBM's Power architecture and NVIDIA's Pascal architecture with NVLink will further accelerate cognitive workload performance and promote the artificial intelligence industry."

    Five Architectural Breakthroughs The Tesla P100 delivers its unprecedented performance, scalability and programming efficiency based on five breakthroughs:

  • NVIDIA Pascal architecture for exponential performance leap -- A Pascal-based Tesla P100 solution delivers over a 12x enlarge in neural network training performance compared with a previous-generation NVIDIA Maxwell™-based solution.
  • NVIDIA NVLink for maximum application scalability -- The NVIDIA NVLink™ high-speed GPU interconnect scales applications across multiple GPUs, delivering a 5x acceleration in bandwidth compared to today's best-in-class solution1. Up to eight Tesla P100 GPUs can exist interconnected with NVLink to maximize application performance in a separate node, and IBM has implemented NVLink on its POWER8 CPUs for snappy CPU-to-GPU communication.
  • 16nm FinFET for unprecedented energy efficiency -- With 15.3 billion transistors built on 16 nanometer FinFET fabrication technology, the Pascal GPU is the world's largest FinFET chip ever built2. It is engineered to deliver the fastest performance and best energy efficiency for workloads with near-infinite computing needs.
  • CoWoS with HBM2 for expansive data workloads -- The Pascal architecture unifies processor and data into a separate package to deliver unprecedented compute efficiency. An innovative approach to recollection design, Chip on Wafer on Substrate (CoWoS) with HBM2, provides a 3x boost in recollection bandwidth performance, or 720GB/sec, compared to the Maxwell architecture.
  • New AI algorithms for peak performance -- fresh half-precision instructions deliver more than 21 teraflops of peak performance for abysmal learning.
  • The Tesla P100 GPU accelerator delivers a fresh even of performance for a compass of HPC and abysmal learning applications, including the AMBER molecular dynamics code, which runs faster on a separate server node with Tesla P100 GPUs than on 48 dual-socket CPU server nodes3. Training the celebrated AlexNet abysmal neural network would grasp 250 dual-socket CPU server nodes to match the performance of eight Tesla P100 GPUs4. And the widely used weather forecasting application, COSMO, runs faster on eight Tesla P100 GPUs than on 27 dual-socket CPU servers5.

    The first accelerator to deliver more than 5 and 10 teraflops of double-precision and single-precision performance, respectively, the Tesla P100 provides a giant leap in processing capabilities and time-to-discovery for research across a broad spectrum of domains.

    Updates to the NVIDIA SDKNVIDIA also announced a host of updates to the NVIDIA SDK, the world's most powerful evolution platform for GPU computing.

    These updates comprise NVIDIA CUDA® 8. The latest version of NVIDIA's parallel computing platform gives developers direct access to powerful fresh Pascal features, including unified recollection and NVLink. also included in this release is a fresh graph analytics library -- nvGRAPH -- which can exist used for robotic path planning, cyber security and logistics analysis, expanding the application of GPU acceleration into the realm of expansive data analytics.

    NVIDIA also announced cuDNN version 5, a GPU-accelerated library of primitives for abysmal neural networks. cuDNN 5 includes Pascal GPU support; acceleration of recurrent neural networks, which are used for video and other sequential data; and additional enhancements used in medical, oil and gas, and other industries. cuDNN accelerates leading abysmal learning frameworks, including Google's TensorFlow, UC Berkeley's Caffe, University of Montreal's Theano and NYU's Torch. These, in turn, power abysmal learning solutions used by Amazon, Facebook, Google and others.

    Tesla P100 Specifications Specifications of the Tesla P100 GPU accelerator include:

  • 5.3 teraflops double-precision performance, 10.6 teraflops single-precision performance and 21.2 teraflops half-precision performance with NVIDIA GPU BOOST™ technology
  • 160GB/sec bi-directional interconnect bandwidth with NVIDIA NVLink
  • 16GB of CoWoS HBM2 stacked memory
  • 720GB/sec recollection bandwidth with CoWoS HBM2 stacked memory
  • Enhanced programmability with page migration engine and unified memory
  • ECC protection for increased reliability
  • Server-optimized for highest data headquarters throughput and reliability
  • Availability common availability for the Pascal-based NVIDIA Tesla P100 GPU accelerator in the fresh NVIDIA DGX-1™ abysmal learning system is in June. It is also expected to exist available beginning in early 2017 from leading server manufacturers.

    Supporting Resources

    Keep Current on NVIDIA Subscribe to the NVIDIA blog, follow us on Facebook, Google+, Twitter, LinkedIn and Instagram, and view NVIDIA videos on YouTube and images on Flickr.

    About NVIDIA NVIDIA (NASDAQ: NVDA) is a computer technology company that has pioneered GPU-accelerated computing. It targets the world's the most demanding users -- gamers, designers and scientists -- with products, services and software that power incredible experiences in virtual reality, artificial intelligence, professional visualization and autonomous cars. More information at

    (1) NVLink delivers 160GB/sec of bi-directional interconnect bandwidth, compared to PCIe x16 Gen3 that delivers 31.5GB/sec of bi-directional bandwidth. (2) NVIDIA Tesla P100 GPU has 15.3 billion 16nm FinFET transistors.(3) CPU system: 48 nodes, each node with 2x Intel E5-2680v3 12 core, 128GB DDR4, FDR IB interconnect. GPU system: separate node, 2x Intel E5-2698 v3 16 core, 512GB DDR4, 4x Tesla P100, NVLink interconnect.(4) Compared to Caffe/AlexNet time to train ILSVRC-2012 dataset on cluster of two-socket Intel Xeon E5-2697 v3 processor-based systems with InfiniBand interconnect. 250-node performance estimated using source: CPU system: 2x Intel E5-2698 v3 16 core, 256GB DDR4. GPU system: separate node, 2x Intel E5-2698 v3 16 core, 512GB DDR4, 8x Tesla P100, NVLink interconnect.

    Certain statements in this press release including, but not limited to, statements as to: the impact, performance, benefits and availability of the NVIDIA Tesla P100 GPU, the NVIDIA SDK and NVIDIA DGX-1 abysmal learning system are forward-looking statements that are subject to risks and uncertainties that could antecedent results to exist materially different than expectations. captious factors that could antecedent actual results to differ materially include: global economic conditions; their reliance on third parties to manufacture, assemble, package and test their products; the repercussion of technological evolution and competition; evolution of fresh products and technologies or enhancements to their existing product and technologies; market acceptance of their products or their partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of their products or technologies when integrated into systems; as well as other factors particular from time to time in the reports NVIDIA files with the Securities and Exchange Commission, or SEC, including its form 10-K for the fiscal year ended January 31, 2016. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and discourse only as of the date hereof, and, except as required by law, NVIDIA disclaims any responsibility to update these forward-looking statements to reflect future events or circumstances.

    © 2016 NVIDIA Corporation. replete rights reserved. NVIDIA, the NVIDIA logo, Tesla, Pascal, Maxwell, NVIDIA NVLink, CUDA, NVIDIA GPU BOOST, and DGX-1 are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may exist trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

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