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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 Real Questions

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IBM IBM Watson V3 Application

Sandvik and IBM usher in the Fourth Industrial Revolution to the Mining business with IBM Watson | killexams.com Real Questions and Pass4sure dumps

Barminco, Hindustan Zinc, Petra Diamonds and Vedanta Zinc overseas faucet into the Sandvik and IBM relationship to improve operations and defense in underground tough-rock mining

Award-successful OptiMine® Analytics with IBM Watson IoT for predictive preservation and optimization, analyzes, learns and communicates with machine operating heaps of toes underground

TAMPERE, Finland and ARMONK, N.Y., April 1, 2019 /PRNewswire/ -- Joint valued clientele of IBM (NYSE: IBM) and Sandvik Mining and Rock technology, one of the crucial world's largest top rate mining gadget producers, are tapping the powers of IoT, advanced analytics and artificial intelligence to recognise protection, maintenance, productivity and operational effectivity.

The mining and rock excavation industry is beneath growing to be power to boost the world supply of minerals to fulfill the needs and expectations of a unexpectedly rising world population. This often requires extracting from increasing enhanced depths, which could make it problematic to speak and act as vital when equipment fails or must be serviced.

OptiMine® Analytics transforms records into manner advancements via predictive insights and actionable dashboards embedded into operation administration programs. the usage of the analytics capabilities from IBM Watson IoT, this assistance administration answer enables mining companies to mix gadget and application data from disparate sources in true-time, inspecting patterns in the statistics to help increase availability, utilization and performance.

through a series of IBM Design thinking workshops, IBM and Sandvik work with shoppers to enhance a framework to shape choices round data driven productiveness and predictive maintenance. the use of the Watson IoT technology, Sandvik and IBM have collectively created a platform capable of comply with the stringent reliability and safety requirements of mining operations. Predictive upkeep know-how leveraging IoT sensor statistics has additionally been brought as a part of this platform.

"Proactively making a choice on renovation wants earlier than whatever breaks is resulting in massive cost and time savings," observed Patrick Murphy, president, Rock Drills & technologies, Sandvik. "Our award-winning OptiMine® Analytics with IBM Watson IoT solutions present their shoppers a greater complete view of their operations for smarter, safer and more productive work."

Sandvik and IBM purchasers equivalent to Petra Diamonds and Barminco are using IoT to help reduce miner exposure to adverse work environments and increase safeguard.

"Our proper priority is the safety of their employees and if a desktop fails underground, they want immediate insight into what is happening in that tunnel," said Luctor Roode, govt operations at Petra Diamonds. "With the answer from Sandvik and IBM, we've real-time facts that enables us to automatically determine the foundation cause of the difficulty and act accordingly." 

"Leveraging information is become more and more positive throughout the mining sector. via analytics, machine getting to know and AI, they are seeing new chances for increased operational effectivity," talked about Paul Muller, chief government officer, Barminco. "Our partnership with Sandvik's OptiMine® Analytics allows us to quickly-track their efforts, leveraging Sandvik's entire-of-fleet data and innate computer knowledge."

OptiMine® Analytics will also be used by means of Vedanta Zinc overseas's Black Mountain Mining (BMM) operations in South Africa's Northern Cape Province, to speed up statistics-pushed operations for defense, efficiency and productiveness for vehicles, loaders and drills. moreover, Hindustan Zinc, one of the world's largest built-in producers of zinc, lead and silver has tapped Sandvik to put into effect a big digital transformation at its Sindesar Khurd Mine, India, to make sure all required infrastructure and systems can achieve world-classification mining safety, efficiency and productivity.

"Sensors and monitoring systems for asset management is just the starting when it involves how artificial intelligence will disrupt the mining industry," referred to Jay Bellissimo, general manager, Cognitive procedure Transformation, IBM international business features. "growing an answer that turns the records into actionable insights is a fragile matter. It requires an interdisciplinary effort spanning across mining know-how, utility engineering and records science. IBM and Sandvik at the moment are on route to help transform the mining cost chain with the fusion of cognitive capabilities into miners company and operating approaches."

Story continues

Sandvik has been delivering solutions in the mining automation enterprise for many years, with self sufficient operations in more than 60 mines on six continents. This footprint is a tremendous asset to the procedure optimization solutions in larger and better demand. For its half, IBM has been working with main mining shoppers to infuse cognitive capabilities of their enterprise and operating procedures, creating the Cognitive cost Chain for Mining. This multidisciplinary method leverages and expands on the ideas of the fourth industrial revolution by helping miners achieve new efficiency discounts, without having to make gigantic-scale capital investments.  

Sandvik group Sandvik is a excessive-tech and global engineering community offering items and features that boost customer productivity, profitability and security. They dangle world-leading positions in chosen areas – tools and tooling systems for metal slicing; gadget and equipment, service and technical options for the mining trade and rock excavation within the construction industry; items in advanced stainless steels and special alloys as well as products for industrial heating. In 2018, the community had approximately forty two,000 employees and revenues of about 100 billion SEK in additional than a hundred and sixty international locations within carrying on with operations.

Sandvik Mining and Rock technology Sandvik Mining and Rock expertise is a business area within the Sandvik neighborhood and a global main supplier of gadget and tools, service and technical solutions for the mining and development industries. software areas consist of rock drilling, rock cutting, crushing and screening, loading and hauling, tunneling, quarrying and breaking and demolition. In 2018, earnings have been about 43 billion SEK with about 15,000 personnel in continuing operations.

About IBM For more suggestions about IBM functions please seek advice from: https://www.ibm.com/features

Contact:Jeannine Kilbride1-860-997-6277jkilbri@us.ibm.com

IBM agency brand. (PRNewsfoto/IBM)

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IBM Launches Watson utility Developer Certification application | killexams.com Real Questions and Pass4sure dumps

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IBM Watson Finds Its means Into games and virtual fact applications | killexams.com Real Questions and Pass4sure dumps

foreign company Machines (NYSE:IBM) CEO Ginni Rometty noted in late 2016 that Watson, the company's synthetic intelligence (AI) platform, can be used via more than 1 billion buyers, directly or in a roundabout way, by way of the conclusion of 2017. Healthcare can be the biggest possibility, with Watson worried in a slew of initiatives aimed toward improving patient consequences.

IBM took another step this week in its quest to develop Watson. The enterprise, together with video game engine developer team spirit technologies, announced the launch of the IBM Watson team spirit utility development kit. The SDK makes it possible for builders the usage of the unity online game engine to combine Watson capabilities into their video games and applications. The SDK itself is free, with IBM charging for every name to a cloud-based Watson service.

IBM's Global Center for Watson IoT in Munich, Germany.

picture source: IBM.

not simply video games

team spirit has become a popular alternative for online game builders, but the engine is additionally used to build enterprise functions. Examples listed on unity's web site consist of a educating assist for the construction and engineering industries, training tools for healthcare worker's, and an augmented truth app for viewing and customizing excessive-end automobiles.

Watson may well be most advantageous in digital fact (VR) and augmented truth (AR) purposes. The Watson speech-to-text carrier would permit an software to reply to a consumer's voice, triggering in-online game events or navigating the interface of a VR or AR software. different Watson functions include language translation, language classification, and tone analyzer, all of which may be used to increase how clients interact with an utility.

Watson is already getting used in a single video game, star Trek: Bridge Crew. using Watson, the virtual fact online game allows the player to problem voice instructions to AI characters. It uses Watson speech-to-text and dialog services to implement this functionality.

becoming a member of Amazon and Microsoft

IBM isn't the primary cloud computing business aiming to get its cloud services into games and different visible purposes. Amazon (NASDAQ:AMZN), the dominant chief in public cloud infrastructure, offers its own game engine freed from can charge. Amazon Lumberyard is tightly built-in with Amazon net features and Twitch, permitting developers to tap into Amazon's gigantic array of cloud features, together with a considerable number of AI capabilities.

Amazon additionally offers GameLift, an on-demand provider providing dedicated servers for multiplayer games. GameLift helps primary video game engines, including Lumberyard, team spirit, and Unreal Engine.

Microsoft (NASDAQ:MSFT) additionally pushes its own cloud platform for use in games, on accurate of promoting Xbox video video game consoles and setting up games itself. One notable instance: The upcoming Xbox One title Crackdown three will use Microsoft's Azure cloud platform to offload physics calculations in multiplayer fits, enabling for again and again the processing vigor of a single Xbox One to be attainable.

IBM's efforts are specifically geared toward enabling AI in games and different purposes, as an alternative of offering uncooked computing energy. however that fits in with IBM's usual cloud method of specializing in excessive-value capabilities.

A small step for Watson

IBM does not break down how plenty income Watson generates, however its cloud business is booming. IBM's cloud revenue reached $17 billion in 2017, up 24% in comparison to 2016. Cloud delivered as a provider reached an annual profits run cost of $10.3 billion, up 20% year over 12 months.

IBM sees AI as a enormous, lengthy-time period chance. Rometty, in an interview with The big apple times, talked about that AI "is the possibility of their time." This Watson-cohesion collaboration may not stream the needle for IBM on its own. nevertheless it's a further step in IBM's plan to radically change itself right into a cognitive computing powerhouse.


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IBM Watson V3 Application Development

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

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

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

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

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

    Create App

    Enter the application name and description.

    Add Application Information

    There are two paths for development 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, make sure the permission selected is Glip. This permission is required to build chatbots.

    OAuth Settings and Permissions

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

    App Credentials Botkit Setup

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

  • Incoming webhooks: is a simple way to post messages from external sources in Glip. e.g JIRA bots which post into your team when a new ticket has been assigned to you.
  • Slash Command: are custom commands written by developers like 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 be available by end of year.
  • Real Time Messaging API: allows you to send and receive messages from a Glip user.
  • With some theory behind us, let’s start building their sample application. This example will focus on getting post messages from a group or team in Glip and pass the message to IBM Watson to gather some personality insight.

    What are Personality Insights ?

    According to IBM, “Personality Insights extracts personality characteristics based on how a person writes. You can use the service to match individuals to other individuals, opportunities, and products, or tailor their experience with personalized messaging and recommendations. Characteristics include the Big 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 look something like this:

    GLIP_SERVER=https://platform.ringcentral.comGLIP_APPKEY=GLIP_APPSECRET=GLIP_USERNAME=GLIP_PASSWORD=GLIP_EXTENSION=WATSON_USERNAME=WATSON_PASSWORD=WATSON_URL=https://gateway.watsonplatform.net/personality-insights/apiWATSON_VERSION_DATE=2016-10-19WATSON_VERSION=v3

    Then use the below code to install all dependencies including botkit and watson-developer-cloud.

    npm install --save

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

    "use strict";

    require('dotenv').config();

    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 help you ? ");});

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

    Now let’s make the bot intelligent 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 get 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 use the Personality Insights services. Use this document to setup and gather credentials for Personality Insights.

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

    GLIP_SERVER=https://platform.devtest.ringcentral.comGLIP_APPKEY=GLIP_APPSECRET=GLIP_USERNAME=GLIP_PASSWORD=GLIP_EXTENSION=WATSON_USERNAME=WATSON_PASSWORD=WATSON_URL=https://gateway.watsonplatform.net/personality-insights/apiWATSON_VERSION_DATE=2017-02-02WATSON_VERSION=v3

    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: message.channel}).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 gather the history of the post messages in the group and send 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 get developers started with building bots in Glip with IBM Watson. Personality Insights is just one of the several API’s available in IBM Watson cloud. You could use other APIs like Tone Analyzer, Text to Speech, Conversation … etc. to build more advanced bots that are fun and interesting. The imagination is the limit!

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

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


    IBM Expands Watson Cognitive APIs | killexams.com real questions and Pass4sure dumps

    IBM has recently expanded their collection of Watson Cognitive APIs to include beta updates to the Emotion and Tone Analysis APIs.

    IBM Watson Emotion Analysis was added to the existing suite of AlchemyLanguage APIs. This suite of APIs joined the Watson services list as part of IBM's acquisition of AlchemyAPI roughly a year ago. The Emotion Analysis API currently processes text and attempts to rank the content against five emotions: joy, fear, sadness, disgust, and anger.

    The example in the announcement blog post analyzed the text: "the day I was told that I had been accepted as a student of economics." The output emotional rankings for that text were:

  • anger: 0.045
  • disgust: 0.023
  • joy: 0.93
  • fear: 0.035
  • sadness: 0.07
  • From those values, developers can make inferences about the emotion conveyed in the overall text.

    The API supports processing text and HTML content sent directly to the endpoint via HTTP or by passing in a URL of publicly available content on the Web. Output from the API is available in both XML and JSON formats. Pricing is per request with 1,000 API events for free per IBM Bluemix Organization. Paid pricing starts at $0.007 USD per event up to 250,000 events.

    IBM Watson Tone Analyzer is similar, but adds language and social tone to the analysis.

    Language tone is broken into three categories: analytical, confident, and tentative. In the case of the example text above, the analytical score was 0.39 with confidence and tentativeness being 0.

    The social-tone analysis is broken into five different social tones: openness, conscientiousness, extraversion, agreeableness, and emotional range (or neuroticism) which are known as the "Big Five" personality traits. Analysis of the example text returned these metrics for those five social tones:

  • openness: 0.134
  • conscientiousness: 0.409
  • extraversion: 0.474
  • agreeableness: 0.736
  • emotional range: 0.784
  • This API uses a similar HTTP API using simple GET and POST requests with a single response. The documentation includes examples for curl, Node, Java, and Python. Tone Analyzer is free for the beta period via IBM Bluemix. Here's the Node example usage for the sample text from earlier:

    var watson = require('watson-developer-cloud'); var tone_analyzer = watson.tone_analyzer({ username: '{username}', password: '{password}', version: 'v3-beta', version_date: '2016-02-11' }); tone_analyzer.tone({ text: 'the day I was told that I had been accepted as a student of economics.' }, function(err, tone) { if (err) console.log(err); else console.log(JSON.stringify(tone, null, 2)); });

    IBM has made an Application Starter Kit available which uses both AlchemyLanguage and Tone Analyzer alongside the AlchemyData News API. Currently, these APIs only support English language texts.

    This sample application demonstrates how to use web and social media and natural language processing to understand important topics and how people feel about those topics.

    Developers interested in exploring these APIs via hands-on experience should consider the online Watson Developer Challenge (running now through April 15) as well as the in-person World of Watson Hackathon May 21-22, 2016 at Pier 36 in NYC.


    IBM Launches Industry’s First Development Environment for Apache Spark - Delivered in the Cloud for Rapid Adoption | killexams.com real questions and Pass4sure dumps

     

    IBM today announced the first cloud-based development environment for near real-time, high performance analytics, giving data scientists the ability to access and ingest data and deliver insight-driven models to developers. Available on the IBM Cloud Bluemix platform, the Data Science Experience provides 250 curated data sets, open source tools and a collaborative workspace to help data scientists uncover and share meaningful insights with developers, making it easier to rapidly develop applications that are infused with intelligence.

    Building on its $300 million investment in developing Apache Spark as a type of “analytics operating system,” IBM created the Data Science Experience to extend the speed and agility of Spark to more than two million members of the R community through new contributions to SparkR, SparkSQL and Apache SparkML. As a result, data scientists who work in R will have faster access to more data, and in turn, more insights delivered from the IBM Cloud.

    The Data Science Experience’s open and collaborative environment allows data scientists to accelerate and simplify data ingestion, curation and analysis by bringing together the content, data, models, and open source resources from IBM and others including H2O, RStudio, Jupyter Notebooks on Apache Spark in a single security-rich managed environment.

    “With Apache Spark, they see an opportunity to significantly transform the role of the data scientist by providing access to curated data sets, open source tools and a collaborative platform to accelerate innovation,” said Bob Picciano, Senior Vice President, IBM Analytics. “IBM’s Digital Science Experience is the killer enterprise app for Apache Spark, and gives data scientists new opportunities to deliver insight-driven models to developers, and opens the door for unprecedented innovation from the open source community.”

    IBM is already helping organizations across industries use data science applications built on Apache Spark to get new business insight, drive growth, and improve efficiency. Some examples include:

    Bernhardt Furniture: Using IBM Spark, IBM Bluemix, and mobile technologies, the Bernhardt IT team designed a virtual showroom app for iPad devices that gives the sales team immediate access to the latest product information. Real-time analysis of traffic patterns and product trends allows Bernhardt to now make rapid adjustments to product placement, pricing and availability status. The new tablet-oriented sales ordering process has established Bernhardt Furniture as both a fashion-forward and technology-leading company.

    USA Cycling: USA Cycling Women's Team Pursuit is using IBM Spark, Watson IoT, mobile and cloud to derive instantaneous insights leading to game-changing training strategies and racing tactics. The team can now get advanced analysis of rider data, calculate dynamic race positioning, and determine the grouping of riders over the race track.

    SETI: IBM, NASA and the SETI Institute are working together to analyze more than six terabytes of complex deep space radio signals to hunt for patterns that might identify the presence of intelligent extraterrestrial life. With IBM Analytics on Apache Spark, SETI has been able to embark on a new Stellar Pair Eavesdropping campaign which enables the organization to look for potential communications between planets that might be orbiting in double star systems. More than half of all stars are, in fact, these types of planets. By extracting new features from millions of observations, researchers are able to use machine learning techniques to classify signals and sharpen their focus for subsequent deep analysis on clusters of signals which are anomalous or outliers.

    IBM continues to collaborate with leading data science organizations including Galvanize, H2O.ai, LightBend and RStudio to promote an integrated and unified data science ecosystem. Additionally, IBM is joining the R Consortium to help accelerate data science’s readiness for the enterprise.

    IBM is leading the way in the growing Analytics ecosystem having contributed to related projects including Apache Toree, EclairJS, Apache Quarks, Apache Mesos, Apache Tachyon now called Alluxio, and major contributions to Apache Spark sub-projects SparkSQL, SparkR, MLLib, and PySpark with over 3,000 total contributions in the last year.

    In addition, IBM has built Spark into the core of its platforms including Watson, Commerce, Analytics, Systems, Cloud as well as more than 30 offerings including IBM BigInsights for Apache Hadoop, IBM Analytics on Apache Spark, Spark with Power Systems, Watson Analytics, SPSS Modeler and IBM Stream Computing. IBM also open-sourced its breakthrough SystemML machine learning technology to advance Spark’s machine learning capabilities in 2015.

    “Just as IBM played a critical role in the development of Computer Science, they can see many similarities today. Computer Science went mainstream with the introduction of the PC,” said Picciano. “With Data Science, the major roadblock is having access to large data sets and having the ability to work with so much data. With today’s announcement, clients can have both.”

    For more information on the IBM Data Scientist Experience and IBM Spark solutions, see datascience.ibm.com/.



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