Tracklab

tracklab

I've blogged quite a bit about the Amazon Interactive Video Service (Amazon IVS) Web Broadcast SDK. We've learned about , how to use the SDK to , how to , and even looked at using it to . the basics stream pre-recorded videos add screen sharing and overlays create a Lofi radio station The Web Broadcaster SDK is a game changer that gives developers the ability to integrate the broadcast experience directly into their streaming applications instead of directing their users to use third-party desktop streaming software. In this post, we'll look at another exciting possible use case of the Web Broadcast SDK: streaming browser based games directly to an Amazon IVS channel. It's really quite easy to do, and we'll take it a step further by creating an interactive experience that allows live stream viewers to control the gameplay (akin to ). TwitchPlaysPokemon Streaming a Browser Based Game Directly From the Browser For this post, I'll assume that you're already familiar with Amazon IVS and have already configured a live streaming channel. If you're new to Amazon IVS, check out the blog series , specifically the very . Optionally, you could also refer to the which is a great resource for learning how to develop live streaming applications with Amazon IVS. Getting Started with Amazon IVS first post user guide Since I'm not a game developer, I decided to add live streaming to a few existing open source, browser-based games: and . Since both of these games utilize for gameplay, it will be easy to obtain a from them will be the source for our live stream video input. pacman-canvas Astray <canvas> MediaStream pacman-canvas For the first demo, I cloned the repo to my local machine and took a look at the code. pacman-canvas Initializing the Broadcast Client The game uses jQuery, so I added a call to an method to the end of the existing DOM ready handler: pacman-canvas initBroadcast() let broadcastClient;
let isBroadcasting = false;

$(document).ready(function () {
  // game logic...
  initBroadcast();
}) In my method, I create an instance of the ( ), passing it the from my Amazon IVS channel. initBroadcast() AmazonIVSBroadcastClient docs Ingest endpoint broadcastClient = IVSBroadcastClient.create({
  streamConfig: IVSBroadcastClient.STANDARD_LANDSCAPE,
  ingestEndpoint: config.ingestEndpoint,
}); Next, to add the gameplay to the client, I grabbed a reference to the element used by the game and called ( ) on the : <canvas> addVideoInputDevice() docs broadcastClient const game = document.getElementById('myCanvas');
broadcastClient.addVideoInputDevice(game.captureStream(), 'game-track', { index: 0 }); Finally, to start the broadcast, I call and pass it the from my channel. startBroadcast() Stream key broadcastClient
  .startBroadcast(config.streamKey)
  .then(() => {
    isBroadcasting = true;
    console.log('online')
  })
  .catch((error) => {
    isBroadcasting = false;
    console.error(error);
  }); The game uses a few tags for sound effects and calls the following function as necessary. <audio> var Sound = {};
Sound.play = function (sound) {
  if (game.soundfx == 1) {
    var audio = document.getElementById(sound);
    (audio !== null) ? audio.play() : console.log(sound + " not found");
  }
}; To add the game audio to my stream, I modified it to call ( ). addAudioInputDevice() docs var Sound = {};
Sound.play = function (sound) {
  if (game.soundfx == 1) {
    var audio = document.getElementById(sound);
    (audio !== null) ? audio.play() : console.log(sound + " not found");
    var trackLabel = `${sound}-audio-track-${new Date().getTime()}`;
    audio.addEventListener('playing', (evt) => {
      if (!broadcastClient.getAudioInputDevice(trackLabel)) {
        broadcastClient.addAudioInputDevice(audio.captureStream(), trackLabel);
      }
    });
  }
}; And that's it! The gameplay stream will be broadcast whenever the method is called, so we could attach that to a button click handler or call it from the method of the existing game. If we wanted to, we could also and even size and position the webcam as an overlay (see ( ) for more info). startBroadcast() newGame add a webcam to the stream VideoComposition docs Playing Back the Live Stream in a Browser For playback, I added a simple HTML page that includes and utilizes the . Amazon IVS Player SDK <script src="https://player.live-video.net/1.17.0/amazon-ivs-player.min.js"></script>
<script>
document.addEventListener('DOMContentLoaded', () => {
  const videoPlayer = document.getElementById('video-player');
  const streamUrl = '[CHANNEL PLAYBACK URL]';
  const ivsPlayer = IVSPlayer.create(); 
  ivsPlayer.attachHTMLVideoElement(videoPlayer);
  ivsPlayer.load(streamUrl);
  ivsPlayer.play();
});
</script>
<body>
  <video id="video-player" />
</body> Here's how everything looks at this point. On the left side is the broadcast/gamer view, and on the right is the playback/viewer view. Adding Timed Metadata As you can see in the Gif above, the score, level, and lives data is not included in the live stream. This is because the game developer did not include those elements in the gameplay . If we wanted to, we could render these as overlays in the playback view by . In my demo, I modified the function of to publish the score as timed metadata on my live stream by calling an AWS Lambda function that I've previously created for this channel. <canvas> publishing them with timed metadata Score pacman-canvas const publishMetadata = async (meta) => {
  await fetch('[lambda url]/send-metadata', {
    method: 'POST',
    headers: {
      'Accept': 'application/json',
      'Content-Type': 'application/json'
    },
    body: JSON.stringify(meta),
  });
};

function Score() {
  this.score = 0;
  this.set = function (i) {
    this.score = i;
  };
  this.add = function (i) {
    this.score += i;
    publishMetadata({
      metadata: JSON.stringify({ score: this.score }),
    });
  };
  this.refresh = function (h) {
    $(h).html("Score: " + this.score);
  };

} Be careful publishing metadata too frequently to avoid exceeding the Amazon IVS . You may need to throttle or batch metadata publishing to avoid exceeding the quota. Note: service quotas Adding Interactivity to a Browser Based Game Live Stream Now let's take a look at how we might create an interactive browser based game that can be controlled by live stream viewers. For this, I chose - a simple game that requires the player to navigate a ball through a maze. I added the Web Broadcast client just as i did with above, and decided to use Amazon IVS chat to receive the gameplay control commands from the viewer. Astray pacman-canvas Adding Chat We've previously looked at how to . To use chat for game interactivity, we'll configure a chat experience just like we usually do, but in the chat connection's message handler, we'll check the message content for the terms , , and to control the ball movement on the broadcaster side. add chat to your live streaming application with Amazon IVS chat left right up down const chatConnection = new WebSocket('wss://edge.ivschat.us-east-1.amazonaws.com', token);

chatConnection.onmessage = (event) => {
  const data = JSON.parse(event.data);
  const chatEl = document.getElementById('chat');
  if (data.Type === 'MESSAGE') {
    const direction = data.Content.toLowerCase();
    if (['left', 'up', 'right', 'down'].indexOf(direction) > -1) moveBall(direction);
    // render message to chat div
  }
} If I find one of the directional commands in the incoming message, I call which will simulate a key press on the broadcaster side to move the ball in the game. moveBall() const moveBall = (direction) => {
  let keyCode;
  let keyCodes = {
    left: 37,
    up: 38,
    right: 39,
    down: 40,
  }
  const keyDown = new KeyboardEvent('keydown', { keyCode: keyCodes[direction] });
  const keyUp = new KeyboardEvent('keyup', { keyCode: keyCodes[direction] });
  document.dispatchEvent(keyDown);
  setTimeout(() => {
    document.dispatchEvent(keyUp);
  }, 200);
}; There's a minor catch to this approach. Because uses , the broadcaster's game tab must be active/visible tab at all times since to improve performance and battery life. Note: Astray requestAnimationFrame() requestAnimationFrame() pauses when the tab is not visible Here's how looks when controlled by the viewer. Astray There's a slight delay due to the stream latency, but the potential to give viewers control of the live stream gameplay is intriguing and filled with potential. Summary In this post, we learned how to integrate the Amazon IVS Web Broadcast SDK into a browser based game to give players the ability to live stream gameplay directly to an Amazon IVS live streaming channel. We also learned how to add interactivity to the experience to give stream viewers the ability to directly affect the gameplay. If you'd like to learn more about Amazon IVS, check out the blog post series here on HackerNoon. Getting Started with Amazon IVS Also published . here

How to Broadcast Interactive Web Based Gaming Live Streams with Amazon IVS

Setting clear and concise goals is critical for a development team to reach project objectives on schedule. In fact, a found that 3% of its graduates from the MBA program earned more than 10 times more than the remaining 97% of the class when they set clearly defined goals for themselves. Harvard study When considering this application within the software development process, software metrics can be utilized to assess the development team’s efficiency and how they can improve. These software development metrics are beneficial when working with a remote group of software developers or outsourcing. Software metrics are a critical way to allow planning for which areas resources should be allocated to. The acronym KPI stands for Key Performance Indicator. Appropriate Key Performance Indicators(KPIs) help a software development team stay on top of their goals and decrease the amount of needed interference. Software development is a complicated process. Using specific KPIs in software development makes the procedure more manageable and allows the development team to stay on task and within budget. The Importance of Software Development Metrics Key performance indicators are an essential part of work-life in general, especially when it pertains to software development teams. Those managing the development process can use KPIs for software development in order to prioritize tasks accordingly. Managers can do this by easily identifying issues, keeping track of all progress, and communicating with their team as needed during software development with the help of key performance indicators. These software metrics are also a good way to stay on top of areas that could use improvement. It also allows the software developers to constantly refine their results and productivity. Clients and stakeholders of different software development companies can also use software development KPIs to monitor the progress of the project. They are able to assist with workflow management while also planning for any future projects that may occur. Suitable KPIs for software can also aid in decreasing costs during the development process. By staying on top of the set goals, software development teams are able to minimize the number of extra edits that are needed with little to no extra management. Software development KPIs allow for an increased investment return because they improve performance throughout the development process. When KPIs are used properly, they allow a team to finish in a timely and budget-friendly manner. Understanding Software Development KPIs Key performance indicators used in software development quantify overall business performance during all stages of the development process. Specifically, KPIs for software development allow for the work done during development to align with the objectives of software development companies and other businesses using the software as a whole. To get the best results, proper software metrics need to be chosen according to the team’s preferred model. Using suitable metrics will allow for the effective measurement of the project's success. It is rather typical to see metrics such as lines of code or the number of deploys being used, but these are not great choices. They are not clear and do not set tangible goals for the team. A software development KPI needs to be more distinct. Since software development is a complex process, the business manager can often fall short when creating a plan to meet deadlines and stay on track. However, key performance indicators can help avoid this. Modern development teams tend to prefer because it is quick and established. Agile focuses on rapid application development to provide steady delivery, results, and deployment. Agile software development When considering performance measures, business growth is a key measure that any software development KPI should lean on. There are four major groups of KPIs for software teams focused on what the performance indicator is measuring. This includes metrics for defects, software performance metrics, usability, user experience metrics, and developer productivity. Best Metrics for Defects These are the KPIs for software that will help you find and get rid of as many issues and bugs within the software as possible before release. Managing software malfunctions can be an extremely frustrating and stressful part of the software development process. Utilizing appropriate metrics can help. Actual Security Incidents This KPI for software development provides a look at any possible security threats. This can include attempts at unauthorized access, disclosure, use modifications, destruction of information, or other security problems. If left unchecked, these issues can allow for theft, denial of service, or compromised user accounts. This metric is essential to ensure that the software being developed is secure. Code Defect Detection Percentage Code defect detection percentage is another great way to test the efficiency of the development team. To calculate this percentage, the relationship between the number of faults found before the software’s release and the total number of defects, including those discovered after the product's release, needs to be examined. Ideally, a majority of the bugs would be found and fixed before the software is released. Mean Time to Detect Defects and Mean Time to Repair The mean time to detect defects metric can be used to figure out how long it takes developers to discover a malfunction within the software on average. It is calculated from the time the issue occurs to the time the developer notices the problem. Reducing the MTDD value will produce the best outcomes. The time between the discovery of the problem and the working fix for it is the average time to repair. The fix must be functional and employed for stop time to be considered. Again, the lower the MTR value, the higher the efficiency will be. Vulnerability This software metric will help discover any potential weaknesses in the product during software development. The software might be susceptible to users gaining access past the boundaries established through their privileges, unauthorized actions, or more. As vulnerability increases, so do security concerns for the software being developed. This metric is very important when considering how secure the finished product will be. Top Software Performance Metrics During the quality assurance process, software performance metrics can evaluate and rank any problems within the software. These KPIs for software development are helpful tools for managing the project, debugging the software, measuring performance levels, and estimating cost. Availability This specific KPI for software development focuses on the likelihood that the software will function when it needs to. Availability is a percentage of the total time that the software is operating. High-end availability means that the software can function even through malfunctions and defects. This is not to say they will not happen, but rather that if defects do occur, the software can separate the issue and continue working at a decreased capacity. Reliability This metric calculates the ability of the software to produce the expected results at any set time. The software can accomplish this through factors that avoid, find, and fix defects within it. Developers can ensure that the product will not consistently deliver errors by appropriately utilizing this KPI. At the very least, the software should be able to find and fix any problems or isolate the issue and relay the error to the development team. Serviceability Serviceability is a KPI in software development that allows for the calculation of how easy it is to fix the software system when any given problem arises. There is an inverse relationship between serviceability and availability. If one decreases, the other will inevitably increase. The software metric focuses on providing accurate repair options for each faulty situation while causing as little disruption as possible to normal services. Throughput Throughput measures the number of features, tasks, issues, and other possible activities that are finished within a certain period. With this metric, project managers can easily oversee how the development team allocates their time and what their workload is like. This is similar to the software metrics of velocity, which will be covered in the developer productivity metrics, but throughput is more technical. Ideal Usability and User Experience Metrics KPIs for software do not stop once the software development is finished. They continue into the release of the product to record user interactions with the software. These software metrics are heavily subjective since they depend on customer input and feedback. Customer Effort Score The Customer Effort Score, or CES, is a scale ranging from 1 to 7. It calculates how easy the software makes it to interact with the business it was created for. The calculation includes customer transactions, reporting an issue to the support team, and other methods of connecting with the business through the software. It is a powerful tool to know exactly how consumers feel about the product’s usability. Customer Satisfaction Score Customer Satisfaction Score, or CSAT, uses a scale from 1 to 5. With this software development KPI, one can measure how satisfied a consumer is with the product. The rating is based on the customer’s experience with the software. CSAT must be sent out to customers that purchased or are using the software. This is another invaluable tool when looking at how the software ranks amongst consumers. Net Promoter Score Net Promoter Score or NPS, values range between -100 and 100. This metric finds out how likely a customer is to recommend the software to friends, family, and other people they may interact with. NPS can be used to consider consumer loyalty and long-term customer satisfaction in regard to the business’s software. Best Developer Productivity Metrics During the process of software development, teams can use these KPIs to focus on their efficiency and work rate. Developer productivity metrics allow project managers to assess how much time and work is needed for a specific software project. Code Churn This software development KPI calculates the frequency of code changes. While code changes can happen, a frequent need for changes in code can cause problems. If software needs to be revised each time a new feature is added to it, this will lead to a product that requires a high level of maintenance and is generally high-risk. Code Coverage Using the code coverage metric promotes constant delivery and development that is centered around proper testing. It calculates how much the source code achieves during testing procedures. The higher the value of this metric, the better the outcome. However, it will rarely ever be 100 percent. Code Simplicity There are several different ways to calculate code simplicity. A project manager could use cyclomatic complexity to view the number of separate paths the code must go through. The fewer paths needed, the better. A more straightforward code is less complicated to support and test. Code Stability Code stability is a KPI for software development that looks at the possible impact of small adjustments on the product and if those adjustments could harm the objectives of the project or the software overall. Generally speaking, minuscule changes to the code should not influence the entire software program. Cumulative Flow Visual diagrams are immensely helpful in providing an easily understandable view of the project’s overall productivity. The cumulative flow metric provides a visual representation of where tasks are at during software development. There are many different task stages that can be represented in the diagram, including backlogged tasks, tasks that are currently being worked on, and tasks that have been finished and approved. Each stage is typically represented by a different color. This flow chart provides an overview of the workflow throughout the software development process. It greatly helps balance the workload and prevent negative occurrences, such as task congestion. Cycle Time Cycle time is a KPI for software development that allows management to view the time spent on specific tasks. By doing this, they can accurately predict how much time the team will require for future tasks and even future projects. Flow Efficiency This metric shows the relationship between active work time and the total time spent on a task. Although an assignment may be labeled as a work in progress, things may be at a standstill. Typically this is due to periods where the software developers cannot proceed from one task to the next and must therefore wait until a separate task is completed. You can compute the flow efficiency by dividing active work time by the total time of the cycle. Low efficiency in specific time frames can allow project managers to deduce inconsistencies within the workflow. Oftentimes an adjustment in the way the project or workload is being managed can provide a better workflow. Release Burnout Release burnout is a very important metric used during software development, as it allows management and the development team to accurately oversee the software’s release. The development team can keep track of the project’s schedule, viewing whether it is ahead of schedule, on schedule, or falling behind. Using the release burnout metric, a business can provide accurate software release updates for consumers. Velocity Velocity is a KPI in software development that calculates the amount of work the development team can finish in a single execution. A higher velocity value during software development means that the team is functioning well. It can be used to predict the level of productivity. Velocity can be calculated by things such as the number of tasks finished and ideal days. A common way to calculate velocity is by using story points. Three or more iterations during software development will be needed before the average velocity for the team can be accurately measured. Velocity is a team metric and does not calculate individual work rates. When calculating the amount of work that is finished in a single execution to be used for measuring velocity, a software metric known as sprint burnout is used. Sprint burnout allows project managers to see the team’s work time in a single iteration. These are then used to properly compute velocity. Conclusion Using the proper software development KPIs is indispensable during the development process and an irreplaceable tool for the business the software is for. Appropriate software metrics allow team productivity, project timeframe, and budget to be measured correctly. Project managers and software development companies can successfully use key performance indicators to evaluate and prioritize team goals and project objectives. Each group of KPIs allows development teams, project managers, and clients to understand the overall status of the software development progression. Using them will help developers reach steady and maintainable goals while staying on schedule and hopefully under budget. Also Published here

20 Trackable Metrics to Make Software Development Teams More Efficient

Calling All Writers: Learn What The Decentralize-AI Writing Contest Is All About From The ICP Team

সমস্ত লেখকদের আহ্বান করা হচ্ছে: আইসিপি টিম থেকে বিকেন্দ্রীভূত-এআই লেখার প্রতিযোগিতাটি কী তা জানুন

Aufruf an alle Autoren: Erfahren Sie vom ICP-Team, worum es beim Decentralize-AI-Schreibwettbewerb geht

Convocatoria para todos los escritores: conozca de qué se trata el concurso de escritura Decentralize-AI del equipo de ICP

Appel à tous les écrivains : découvrez en quoi consiste le concours d'écriture Decentralize-AI grâce à l'équipe ICP

सभी लेखकों का आह्वान: आईसीपी टीम से जानें कि विकेन्द्रीकृत-एआई लेखन प्रतियोगिता क्या है

作家の皆さんへ: ICP チームから Decentralize-AI ライティング コンテストについて学びましょう

모든 작가에게: ICP 팀에서 Decentralize-AI Writing Contest가 무엇인지 알아보세요

Chamando todos os escritores: aprenda sobre o que é o concurso de redação Decentralize-AI com a equipe do ICP

Приглашаем всех писателей: узнайте, в чем суть конкурса писателей Decentralize-AI от команды ICP

Tüm Yazarlara Çağrı: ICP Ekibinden Decentralize-AI Yazma Yarışmasının Ne Hakkında Olduğunu Öğrenin

Kêu gọi tất cả các nhà văn: Tìm hiểu về cuộc thi viết Decentralize-AI từ nhóm ICP

召集所有作家：从 ICP 团队了解去中心化 AI 写作比赛的全部内容

Google Fails to Undermine the Search Ad and Text Ad Market

How to Write Tests for Free

Write on Interaction, Reputation, or Trust, Win up to $6000 in Prizes

ইন্টারঅ্যাকশন, রেপুটেশন বা বিশ্বাসের উপর লিখুন, পুরস্কারে $6000 পর্যন্ত জিতে নিন

Schreiben Sie über Interaktion, Reputation oder Vertrauen und gewinnen Sie Preise im Wert von bis zu 6.000 US-Dollar.

Escriba sobre interacción, reputación o confianza, gane hasta $6000 en premios

Écrivez sur l'interaction, la réputation ou la confiance, gagnez jusqu'à 6 000 $ en prix

बातचीत, प्रतिष्ठा या विश्वास पर लिखें, 6000 डॉलर तक का पुरस्कार जीतें

交流、評判、信頼について書いて、最大 6,000 ドルの賞金を獲得しましょう

상호 작용, 평판 또는 신뢰에 대해 글을 쓰고 최대 $6000의 상금을 받으세요

Escreva sobre interação, reputação ou confiança e ganhe até US$ 6.000 em prêmios

Напишите о взаимодействии, репутации или доверии, выиграйте до 6000 долларов США в виде призов

Etkileşim, İtibar veya Güven Üzerine Yazın, 6000$'a Varan Ödül Kazanın

Viết về sự tương tác, danh tiếng hoặc sự tin cậy, giành được giải thưởng lên tới $6000

撰写有关互动、声誉或信任的文章，赢取高达 6000 美元的奖金

Product-Market Fit Tips for Startups: Insights From 20 Experts

স্টার্টআপের জন্য পণ্য-বাজার ফিট টিপস: 20 জন বিশেষজ্ঞের কাছ থেকে অন্তর্দৃষ্টি

Tipps zur Produkt-Markt-Passung für Startups: Einblicke von 20 Experten

Consejos para empresas emergentes sobre la adecuación del producto al mercado: opiniones de 20 expertos

Conseils d'adéquation produit-marché pour les startups : avis de 20 experts

स्टार्टअप्स के लिए उत्पाद-बाजार अनुकूलता युक्तियाँ: 20 विशेषज्ञों की अंतर्दृष्टि

スタートアップのための製品市場適合のヒント: 20 人の専門家からの洞察

스타트업을 위한 제품-시장 적합성 팁: 20명의 전문가가 전하는 통찰력

Dicas de adequação produto-mercado para startups: insights de 20 especialistas

Советы по соотношению продукта и рынка для стартапов: мнение 20 экспертов

Startup'lar için Ürün-Pazar Uyum İpuçları: 20 Uzmandan Görüşler

Lời khuyên phù hợp với thị trường sản phẩm dành cho người khởi nghiệp: Thông tin chi tiết từ 20 chuyên gia

初创企业的产品市场契合技巧：20 位专家的见解

A Leap Into the Future: 0G's Newton Testnet 0G Labs, a newcomer to the fast-growing arenas of blockchain and artificial intelligence, has launched the Newton Testnet. This testnet is the predecessor of an ultra-scalable Modular AI Blockchain known as 0G or ZeroGravity. The testnet is a playground for node operators, developers, and a dedicated community. All of these people have been allowed to dip their toes and contribute crucial information before the big mainnet launch, which is slated for the third quarter of 2024. This new breakthrough is a tidal wave aimed at overcoming the scalability and data throughput challenges that have hampered blockchain-AI integration. 0G's modular design philosophy seeks to reduce blockchain's restrictions, which have long limited its utility as a vehicle for AI's complex data and execution requirements. To avoid outdated consensus mechanisms and decrease congestion caused by disconnected use cases, 0G's engineers purposefully developed a lean network. AI On-Chain Demand: Challenges In the digital era, we are drawn to (AI). It is as trustworthy and fair as we make it. Thus, it is an excellent venue for neural network training and deployment. Huge firms see AI as a foundation that will alter their industry, not a fad. Intellectual property and privacy concerns, biased generative AI models, and a lack of legal order all inhibit progress. artificial intelligence It also advocates for fair remuneration for all parties involved in the AI value chain, as well as AI data that is easily trackable. To get the most out of both autonomy and human interaction, avoid deep fakes and provide a well-balanced physical control system that validates AI outputs. AI that operates on the blockchain is not conceivable due to system problems. 0G comes first on the blockchain. This option can manage over 50 Gbps of data, but Ethereum's alternatives can only handle 1.5 Mbps. Because it may expand indefinitely, 0G's nature allows it to influence how distributed ledger technology is employed. 0G Labs completed a massive $5 million pre-seed financing round to launch a minimally viable product. This comment followed the company's testnet announcement. With the help of top Web3 investors like Bankless and Polygon, this fundraising round demonstrates the market's unwavering faith in 0G's vision. The fact that 0G is building a blockchain and enabling on-chain AI applications in the Web3 ecosystem is proof of this. About 0G At its heart, 0G, or ZeroGravity, is more than a blockchain; it serves as a conduit for the high-stakes dance between AI and blockchain. 0G reaches an incredible data throughput of 50 GB/second because to its innovative design that combines data storage and data broadcasting. This is more than a jump; it is a vault over present benchmarks, assuring that scalable Layer 2 solutions are viable for the first time, and modular AI are tactile realities inside the Web3 domain. With a cost structure that is a fraction of its rivals, 0G is not only participating in the blockchain revolution but also leading the charge. Don’t forget to like and share the story! This author is an independent contributor publishing via our . HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. Vested Interest Disclosure: business blogging program

ZeroGravity Takes Off: 0G's Newton Testnet Pioneers the Future of AI-Blockchain Fusion

United States v. Apple INC Court Filing, retrieved on March 21, 2024 is part of . You can jump to any part in this filing . This part is 9 of 25. HackerNoon’s Legal PDF Series here C. Apple’s “moat” around its smartphone monopoly is wide and deep: it uses a similar playbook to maintain its monopoly through many other products and services 119. The exclusionary and anticompetitive acts described above are part of Apple’s ongoing course of conduct to build and maintain its smartphone monopoly. They are hardly exhaustive. Rather, they exemplify the innovation Apple has stifled and Apple’s overall strategy of using its power over app distribution and app creation to selectively block threatening innovations. 120. Apple has deployed a similar playbook for a much broader range of third-party apps and services as well, many of which present technologies that function as middleware, facilitate switching, reduce the need for expensive hardware, or disintermediate Apple’s iPhone by enabling the development of cross-platform technologies. For instance, Apple has undermined third-party location trackable devices that fully function across platforms. Apple has impaired third-party, cross-platform video communications apps while steering users to its own video communication app, FaceTime. Apple has limited the capabilities of third-party iOS web browsers, including by requiring that they use Apple’s browser engine, WebKit. Protocols that Apple has placed around new “eSIM” technology may introduce additional frictions for any user who seeks to transition from an iPhone to a different phone while maintaining the same phone number. Apple has impeded cross-platform cloud storage apps in order to steer iPhone users into iCloud, making data transfer between different devices more difficult. Apple uses restrictions in sales channels to impede the sale and distribution of rival smartphones. And Apple has worsened its users’ experience by making it difficult for iPhone users to use superior voice and AI assistants and steering users to use Siri as a voice assistant. 121. Ultimately, the strategies Apple has employed to date are not the only ones Apple can use to achieve its anticompetitive and lucrative ends. As technology evolves, Apple continues to evolve and shift its anticompetitive behavior to protect its monopoly power. For example, in recent years, Apple has increasingly moved into offering its own subscription services, including news, games, video, music, cloud storage, and fitness subscriptions that could be used to keep users tethered to the platform. These subscription services and other ancillary fees are a significant part of Apple’s net revenue. These subscriptions services can also increase switching costs among iPhone users. If an Apple user can only access their subscription service on an iPhone, they may experience significant costs, time, lost content, and other frictions if they attempt to switch to a non-Apple smartphone or subscription service. 122. These subscription services can also increase Apple’s power over content creators and newspapers, among others, by exerting control over how audiences access their work, decreasing traffic to their websites and apps, and positioning Apple as the middleman or tollbooth operator in the relationship between creators and users. In so doing, Apple takes on outsize importance and control in the creative economy, which may diminish incentives to fund, make, and distribute artistic expression. 123. In addition, when one road is closed to Apple, Apple has demonstrated its ability to find new roads to the same or worse ends. For example, Apple was recently ordered to stop blocking link-outs by third parties to their websites where users could buy the third party’s product cheaper. In response, Apple reportedly allowed link-outs to websites but now charges for purchases made on the web even if they are not an immediate result of a click from a link in a native iPhone app. 124. Apple has also attempted to undermine cross-platform technologies like digital car keys in ways that benefit Apple but harm consumers. For example, Apple has required developers to add digital keys developed for their own apps to Apple Wallet as well. The default status of Apple Wallet steers users to the Apple Wallet rather than allowing third parties to present digital car keys only in their own cross-platform app, increasing dependence on Apple and the iPhone whenever they use their car. At the same time, it decreases the incentives of automakers to innovate because automakers are forced to share data with Apple and prevented from differentiating themselves as they could absent Apple’s conduct. 125. Apple’s threatened dominance over the automotive industry goes well beyond the Apple Wallet and Apple’s demands on car makers to allow innovative products and services on the iPhone. Apple’s smartphone dominance extends to CarPlay, an Apple infotainment system that enables a car’s central display to serve as a display for the iPhone and enables the driver to use the iPhone to control maps and entertainment in the car. Like the smartphone market, infotainment systems are increasingly considered must-have capabilities in newer vehicles. After leveraging its smartphone dominance to car infotainment systems, Apple has told automakers that the next generation of Apple CarPlay will take over all of the screens, sensors, and gauges in a car, forcing users to experience driving as an iPhone-centric experience if they want to use any of the features provided by CarPlay. Here too, Apple leverages its iPhone user base to exert more power over its trading partners, including American carmakers, in future innovation. By applying the same playbook of restrictions to CarPlay, Apple further locks-in the power of the iPhone by preventing the development of other disintermediating technologies that interoperate with the phone but reside off device. Continue Reading . Here About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on March 21, 2024, from is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. justice.gov

Apple's Monopoly Tactics: How the Tech Giant Maintains Its Grip Across Products and Services

Process mining isn't a novel concept. Since its emergence in 2011, process mining has been undergoing continuous improvement as leading providers like and consistently refine and expand their suite of tools. Celonis UiPath The process mining market is expected to reach , so understanding both the direct and hidden benefits of the methodology is crucial for enterprises aiming for a competitive edge. Therefore, it makes sense to break down the value and purpose of this technology, while outlining the key steps for achieving the most rewarding results. by 2028 $12.1 billion The definition of process mining Process mining involves extracting and utilizing data to explore and improve enterprise workflows. The reason why it is important is directly connected to the process most common reason for failed digital transformations— , as noted by Organizations resist change when they can’t see the entire journey clearly and thus fail to align with leaders' thoughts. lack of vision and direction Deloitte. Business leaders may not provide specifics, resulting in unclear transformation goals, undefined timeframes, and a lack of transparency for employee motivation within updated workflows. Low visibility arises from the abundance of enterprise data and processes requiring detailed sorting and examination. However, manual handling is time-consuming, error-prone, and leads to blind spots rather than insights. Due to this, process mining becomes a game-changer by collecting log event data, transforming it into a graph that visualizes a specific enterprise process and its cycle. By using process mining technology, executives and decision-makers can and gain insights on potential areas of improvement. view process performance in different scenarios Process mining value Process mining offers new opportunities across the enterprise and brings efficiency to various departments Marketing and sales productivity boost Process mining allows breaking down sales processes, identifying weak points. It also delivers insights into lead and client interactions. Monitors sales process: visualizing processes and interactions for KPI tracking. Designs agile sales process: defining success criteria for a flexible process. Increases conversion rates: identifying and addresses stages limiting conversion. Optimizes customer experience: defining activities impacting customer choices. Improves marketing strategies: evaluating lead responses to marketing campaigns. Compliance and auditing facilitation According to an EY survey, process mining can optimize control-related activities, including auditing and regulatory compliance, in about of cases with: 19% Accelerated issue discovery: uncovering the reasons causing operational issues through detailed workflow visualization. Transparent financial reporting: analyzing event logs for financial transactions. Improved financial control testing: identifying control problems and non-compliance issues for consistent auditing instead of periodic assessments. Cost reduction: reducing manual tasks and optimizing employee time management. How to get max value from process mining Over 12 years, process mining has evolved from a concept to a core technology embraced by vendors like Celonis and UiPath. As new approaches emerge, the landscape of implementing process mining technology Despite this, executives and decision-makers should focus on the following essentials. will see changes. Form a team Process mining was once a collective effort, involving data gathering and employee surveys for . Now, it focuses on engaged personas instead of employees. actionable visualizations Executive: sets process mining project goals and secures funding and resources. Process owner: is responsible for end-to-end process execution and productivity, defining desired processes, and monitoring. Project manager: handles all aspects of the process mining task, selects technology, manages team communication, and reports progress. Business analyst: analyzes process mining data, identifies opportunities and risks, proposes solutions, and monitors process changes. Data engineer: extracts, transforms, and merges log event data for creating process graphs. BI engineer: connects data with users, ensures a smooth user experience, and facilitates data visualization for process graphs. Infrastructure engineer: ensures proper integration of the process mining solution within the enterprise structure, considering security and compliance. Check data system health For any data-driven process to succeed, having relevant, validated, and healthy data is essential. To ensure fruitful process mining outcomes, executives and project managers must verify the availability of necessary event data and sufficient data history. Identify the need A successful process transformation begins by recognizing a clear need. To avoid blind spots, business leaders should thoroughly investigate the issue prompting the idea for process automation, considering various levels. The depth of research directly impacts the final results and process mining goals. Establish KPIs After understanding enterprise needs, executives and stakeholders move on to the crucial step of defining primary key performance indicators. It involves specifying data sources for insights extraction, considering data dimensions (region, supplier, etc.), and estimating costs and expected outcomes. Develop process maps For successful transformation, creating detailed and multilayered process maps is essential. These maps visually represent the process, facilitating conformance checks to find deviations, process violations, and bottlenecks. Act on insights Contrary to the belief that process mining is only for insight-gathering, it can also contribute to immediate improvements. After identifying opportunities , it's beneficial to address issues promptly instead of postponing for later stages or automation. through process graphs and checks For example, process owners and analysts can streamline processes before implementing intelligent automation, ensuring a smoother transformation. Addressing issues upfront enhances the success of subsequent automation efforts. How to secure consistent growth Intelligent automation is a continuous process that constantly demands insights and awareness of enterprise operations. To improve process mining productivity, there are several important guidelines for business leaders to follow. Decision-makers should regularly update their knowledge of process mining and intelligence trends, connecting with peers and consulting digital partners for valuable insights. Stay updated on trends. Promoting innovation understanding among employees reduces resistance to change. Leaders should consistently assess employees' perceptions of transformation, ensuring friction-free initiatives with clear, trackable results. Foster innovation culture. Maintaining data health by preventing bottlenecks and silos. Investing in advanced data validation methods, and constantly updating and improving security measures for smooth integration across systems. Prioritize data hygiene.

How to Achieve Optimal ROI Through Process Mining

Stories, News & Mentions about TRACKLAB

Tracklab’s Stories on HackerNoon