infoxentech
1+ Views

How Much Does It Cost To Create A WhatsApp Like Messenger?

Your cost may lie between $40,000 to $50,000 and the rest may increase with the functionality and complexity you embrace in your messenger app. However, this is the initial estimate for your messenger app development. As you increase the number of features, your cost would be heightened accordingly. https://www.infoxen.com/blog/cost-to-create-a-whatsapp-like-messenger/
Comment
Suggested
Recent
Cards you may also be interested in
Emojis Are Not Made The Same
Not all devices are alike. Apple, Android, and Windows, to name a few, are very different operating systems and that key difference also makes for very different variations of emojis. The most popularized Unicode Consortium, or the body that selects which emojis will make their public debut, is the Apple version. They are used in marketing campaigns, commercials, apps, texting, food delivery, etc. However operating systems like iOS, Android, Windows, Blackberry, Samsung, LG, etc. don't always have the same variations of emojis that the general public is accustomed to. This leads to an ultimate dilemma, emojis are basically a language all their own and somehow they are getting lost in digital translation. Thanks to Yahoo tech, a comprised list of varied emojis from device to device: 1. Woman With Bunny Ears You may recognize this emoji normally as the Bunny twins, tap-dancing girls, showgirls, or any of the other various nicknames. However when you transfer over to Android, you'll be in a surprise that the emoji becomes a yellow gumdrop looking face with a brown wig and bunny ears. The dynamic duo is no longer, which probably leads to some confusion at Halloween for Android users who are curious as to when there was an emoji of two Woman With Bunny Ears. 2. Colored Hearts This one is all about design. Apple keeps the hearts very uniform, vibrantly colored, and as basic as can be. For Android, the emojis hold a lot more meaning while also being somewhat cheesy. There is practically no color variation and I don't even know what to think about the fuzzy heart. Emojis are supposed to be playful and I think Android really missed the boat on this one. 3. Watch Obviously iOS looks classier but I am definitely a bigger fan of Android for some reason. I think sometimes less is more and I think it translates well in this instance. After all, a watch is a universal symbol so it's really hard to mess that up between devices. If anything, the emojis from device to device just show a different kind of watch that is solely exclusive to it's own device which seems cool in this example. 4. Eggplant You know exactly what this means if it's sent in iMessage. And you know exactly how hilarious this emoji can be because let's be honest, there is really no everyday use for an eggplant so you might as well spice it up a bit if you know what I'm aiming at. Now as for Android, it's a poor example of an eggplant to begin with but there is no way that it'd ever be used for alternative purposes within messaging. Just no way. 5. Slice of Pizza Okay Android wins on this one. The iOS version looks like a horribly designed emoji that is trying way too hard to be life-like. I appreciate the pic-art look of Android's emoji in this comparison. However, Dominos Pizza is using the iOS emoji in their brand as you can order a pizza now just sending that emoji. After all, that's pretty clever but the pizza emoji could get a generic facelift. 6. Rowboat This is a BIG difference. iOS looks certainly more appropriate and attractive on an interface. The Android immediately signals a date instance which could be totally misconstrued. Also Android needs to keep up with the times as emojis no longer have one option -- with LGBT and racial skin tones being introduced, their emojis need to be updated. Emojis are great because they include everyone and the rowboat needs the same. 7. Glowing Heart Either way, they both accurately depict what you're trying to show. Personally I like the iOS version more however the Android heart isn't horrible. A heart is a heart no matter how you dress it up. Good work to both. 8. Pistol/Gun Windows is the only operating system that doesn't include a gun that looks like iOS. Instead they've opted for a less serious space gun that could easily be more appropriate for Star Trek than anything else. With weapon emojis being taken more and more serious in the media, Windows will have to figure out how to not cause any trouble for its users who may be using their version of the gun emoji playfully while it will be translated into a more serious message. 9. Love Hotel Well to be honest, I've thought the 'H' on iOS stood for hospital and the heart symboled health. Apparently that's the exact opposite of what it meant. Windows does a much better job at representing this but they are both confusing. It wouldn't have killed them to spell out "hotel" on the building, you know. 10. Mobile Phone We get it, you love your own phone. 11. Donut Hmmm these are all very stereotypical of the interface they appear on. To be honest, Windows looks the least like a donut and I personally am not a fan. Android does a pretty good job and iOS is the most life like. I guess this one boils down to pure preference but it should be understood between each device fairly easily. I guess Windows doesn't like chocolate frosting. 12. Alien Monster Well these have very different connotations from the get-go. For iOS, most believe this emoji is a representation of an arcade game that you use with a joystick. For Android, however, it's actually alien monster that looks like an evil version of Pearl from Finding Nemo creepily ready to say "Awww you guys made me ink muhahahahahha!". We have an alien emoji already in iOS, why do we need this one? 13. Tennis Either way, they fit the bill and do a nice job at symbolizing. 10 for 10 on both.
The Impact of Artificial Intelligence on Workplaces
Who is better for companies to work with, robots or humans? Surely robots as they are tireless and the efficiency of their work doesn't depend on their mood. Robots work 24 hours a day without waiting for a salary. They are quicker than a person and robots work with fewer errors. Robots do the monotonous and repetitive jobs better than a person. The problem is there are lots of jobs that suppose doing repetition. Hence human resources have been replaced by robots. And plenty of jobs are already eliminated. But nowadays people work on putting human intelligence in machines. There are already robots with human intelligence like Sophia or Siri. If we look further it becomes obvious that after some years the number of jobs eliminated will rise. AI gives robots power not to do just monotonous work but to think, to reason, to solve and to learn. And in the future, many more workplaces will be eliminated. There is a long list of workplaces already eliminated. Assembly-line and factory workers The organizers of the factories prefer robots from humans. Anyone can program robots, like the Baxter and Sawyer from Rethink artificial intelligence. There is no need to be a great technician to program the robots to perform the tasks as it has been programmed to perform. Nowadays robots like these become smarter and cheaper that's why a lot of firms prefer using them in their setting. Phone operators, telemarketers, and receptionists All of us received automated calls, like a telemarketing call. For companies, it is easier to implement these systems as speech synthesis and voice recognition became more advanced. But for the receiver, it has become harder to know whom they are talking with; Robot or human? Information gathering, analysts, and researchers Paralegals are being replaced with e-discovery lawyers and research robots. These robots combine millions of documents and discovering relevant facts, phone numbers, e-mail addresses, and other information based on keywords. Nowadays there are computer programs that analyze and find patterns and trends in financial data instead of financial analysts. This helps to invest and find financial opportunities or risks more efficiently. The list of the eliminated workplaces is long and in the future, it will become longer as AI develops day by day. It has also a positive effect on us but we shouldn't ignore the negative one also. Make sure your work has a future If not gain new skills so you won't become unemployed in the nearest future.
Product LifeCycle Management and Engineering Software Market 2020 Competition by Manufacturers, Concentration Rate, Production Volume, Price|Dassault Systemes, Synopsys, Siemens, Autodesk, Hexagon, etc
Due to the pandemic, we have included a special section on the Impact of COVID 19 on the Product LifeCycle Management and Engineering Software Market which would mention How the Covid-19 is Affecting the Industry, Market Trends and Potential Opportunities in the COVID-19 Landscape, Key Regions and Proposal for Product LifeCycle Management and Engineering Software Market Players to battle Covid-19 Impact. Product LifeCycle Management and Engineering Software Market 2020-2024 The Product LifeCycle Management and Engineering Software Market report is one of the most comprehensive and important data about business strategies, qualitative and quantitative analysis of Global Market. It offers detailed research and analysis of key aspects of the Product LifeCycle Management and Engineering Software market. The market analysts authoring this report have provided in-depth information on leading growth drivers, restraints, challenges, trends, and opportunities to offer a complete analysis of the Product LifeCycle Management and Engineering Software market. Top Leading players covered in the Product LifeCycle Management and Engineering Software market report: Dassault Systemes, Synopsys, Siemens, Autodesk, Hexagon, Cadence Design Systems, Ansys, PTC, Mentor, Bentley Systems, Arena, CMPRO, SAP, Aras, Bamboo, Omnify and More... Get PDF Sample Report With Impact of COVID-19 on Product LifeCycle Management and Engineering Software Market@ https://www.marketinforeports.com/Market-Reports/Request-Sample/79988 The report offers clear guidelines for players to cement a position of strength in the global Product LifeCycle Management and Engineering Software market. It prepares them to face future challenges and take advantage of lucrative opportunities by providing a broad analysis of market conditions. the global Product LifeCycle Management and Engineering Software market will showcase a steady CAGR in the forecast year 2020 to 2024. Product Type Segmentation: On-Premise Cloud-Based Industry Segmentation Transportation and Mobility Aerospace and Defense Industrial Equipment Consumer Goods and Retail Energy and Materials Our Complimentary Sample Product LifeCycle Management and Engineering Software market Report Accommodate a Brief Introduction of the research report, TOC, List of Tables and Figures, Competitive Landscape and Geographic Segmentation, Innovation and Future Developments Based on Research Methodology. Inquire and Get Up to 30% Discount By Clicking Here!  https://www.marketinforeports.com/Market-Reports/Request_discount/79988 Regions Covered in the Global Product LifeCycle Management and Engineering Software Market: • The Middle East and Africa (GCC Countries and Egypt) • North America (the United States, Mexico, and Canada) • South America (Brazil etc.) • Europe (Turkey, Germany, Russia UK, Italy, France, etc.) • Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia) Years Considered to Estimate the Product LifeCycle Management and Engineering Software Market Size: History Year: 2015-2019 Base Year: 2019 Estimated Year: 2020 Forecast Year: 2020-2024 Highlights of the Report:  • Accurate market size and CAGR forecasts for the period 2019-2024 • Identification and in-depth assessment of growth opportunities in key segments and regions • Detailed company profiling of top players of the global Product LifeCycle Management and Engineering Software market • Exhaustive research on innovation and other trends of the global Product LifeCycle Management and Engineering Software market • Reliable industry value chain and supply chain analysis • Comprehensive analysis of important growth drivers, restraints, challenges, and growth prospects For More Information: https://www.marketinforeports.com/Market-Reports/79988/Product-LifeCycle-Management-and-Engineering-Software-market Reasons to buy: Procure strategically important competitor information, analysis, and insights to formulate effective R&D strategies. Recognize emerging players with potentially strong product portfolio and create effective counter-strategies to gain competitive advantage. Classify potential new clients or partners in the target demographic. Develop tactical initiatives by understanding the focus areas of leading companies. Plan mergers and acquisitions meritoriously by identifying Top Manufacturer. Formulate corrective measures for pipeline projects by understanding Product LifeCycle Management and Engineering Software pipeline depth. Develop and design in-licensing and out-licensing strategies by identifying prospective partners with the most attractive projects to enhance and expand business potential and Scope. Report will be updated with the latest data and delivered to you within 2-4 working days of order. Suitable for supporting your internal and external presentations with reliable high quality data and analysis. Create regional and country strategies on the basis of local data and analysis. Customization of the Report: Market Info Reports provides customization of reports as per your need. This report can be personalized to meet your requirements. Get in touch with our sales team, who will guarantee you to get a report that suits your necessities. Get Customization of the Report@: https://www.marketinforeports.com/Market-Reports/Request-Customization/79988/Product-LifeCycle-Management-and-Engineering-Software-market Contact Us: Mr. Marcus Kel Call: +1 415 658 9988 (International) +91 84 839 65921 (IND) Email: sales@marketinforeports.com Website: www.marketinforeports.com
Python training would help create innovations in the field of Artificial Intelligence
Popularity of Python training Python training is a must for aspiring Python developers due to the popularity of the language. It is a high-level programming object-oriented language. Furthermore, its in-built data structures combined with dynamic binding and dynamic binding make it ideal for Rapid Application development. Besides that, it is instrumental to binding diverse elements together. Hence, Python training is ideal for those who want to create novel applications in Artificial Intelligence. An insight into the field of Artificial Intelligence Artificial Intelligence includes those inventions that could evolve the world. These include perceptive and self-aware robots. Python training aids in creating systems that are alike or surpass human intelligence. For that reason, Artificial Intelligence (AI) is the study of computer science concentrating on creating software or machines that display human intelligence. Therefore, Python Training Institutes focuses on a wide-range of development such as simple calculators or self-drive cars. Aims of AI understood in Python Training The Python Training helps students understand the main objectives of Artificial Training. The main goals of AI include deduction and reasoning, knowledge representation, planning, natural language processing (NLP), learning, perception, and the ability to manipulate and move objects. On the other hand developers are taught the Long-term goals of AI research. These comprise of accomplishing Creativity, Social Intelligence, and General (human level) Intelligence. Therefore, the Python training covers an all-round attainment of goals in Artificial Intelligence. https://www.technobridge.in/python-training-course.php Kinds of AI covered in Python Training There are three types of Artificial Intelligence (AI) covered in Python training: 1. Machine Learning Machine Learning is motivated by pattern recognition. Hence, it allows software algorithms which are self-learnt as well as forecast about data. 2. Neural Networks Neural Networks imitate biological neural networks such as the human nervous system. They manage several novel inputs, gather them and streamline them into knowledge. They are ideal for the big data world due to their countless file and data types. 3. Deep Learning Deep learning is the next stage after fusing diverse inputs. Sometimes, developers can carry out a difficult and abstract task from infinite one-off inputs. Similarly, they use deep learning to model high level abstractions and see the result of combinations of a given set of inputs. Therefore, Courses would give Python fresher’s an insight about the field of Artificial Intelligence. Python Course will empower you to create life-changing innovations.
Latest Research on Product Customization Software Market 2020 by Application, Industry Share, End User with top players JTB Custom, Artifi Labs, Fluid, Productimize, Doogma, etc
Due to the pandemic, we have included a special section on the Impact of COVID 19 on the Product Customization Software Market which would mention How the Covid-19 is Affecting the Industry, Market Trends and Potential Opportunities in the COVID-19 Landscape, Key Regions and Proposal for Product Customization Software Market Players to battle Covid-19 Impact. Product Customization Software Market 2020-2024 The Product Customization Software Market report is one of the most comprehensive and important data about business strategies, qualitative and quantitative analysis of Global Market. It offers detailed research and analysis of key aspects of the Product Customization Software market. The market analysts authoring this report have provided in-depth information on leading growth drivers, restraints, challenges, trends, and opportunities to offer a complete analysis of the Product Customization Software market. Top Leading players covered in the Product Customization Software market report: JTB Custom, Artifi Labs, Fluid, Productimize, Doogma, MyCustomizer, No-Refresh, InkXE, Idesignibuy, Spectrum, Dolphin Micro and More... Get PDF Sample Report With Impact of COVID-19 on Product Customization Software Market@ https://www.marketinforeports.com/Market-Reports/Request-Sample/79987 The report offers clear guidelines for players to cement a position of strength in the global Product Customization Software market. It prepares them to face future challenges and take advantage of lucrative opportunities by providing a broad analysis of market conditions. the global Product Customization Software market will showcase a steady CAGR in the forecast year 2020 to 2024. Product Type Segmentation: On-Premises Cloud Based Industry Segmentation Large Enterprises SMEs Our Complimentary Sample Product Customization Software market Report Accommodate a Brief Introduction of the research report, TOC, List of Tables and Figures, Competitive Landscape and Geographic Segmentation, Innovation and Future Developments Based on Research Methodology. Inquire and Get Up to 30% Discount By Clicking Here!  https://www.marketinforeports.com/Market-Reports/Request_discount/79987 Regions Covered in the Global Product Customization Software Market: • The Middle East and Africa (GCC Countries and Egypt) • North America (the United States, Mexico, and Canada) • South America (Brazil etc.) • Europe (Turkey, Germany, Russia UK, Italy, France, etc.) • Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia) Years Considered to Estimate the Product Customization Software Market Size: History Year: 2015-2019 Base Year: 2019 Estimated Year: 2020 Forecast Year: 2020-2024 Highlights of the Report:  • Accurate market size and CAGR forecasts for the period 2019-2024 • Identification and in-depth assessment of growth opportunities in key segments and regions • Detailed company profiling of top players of the global Product Customization Software market • Exhaustive research on innovation and other trends of the global Product Customization Software market • Reliable industry value chain and supply chain analysis • Comprehensive analysis of important growth drivers, restraints, challenges, and growth prospects For More Information: https://www.marketinforeports.com/Market-Reports/79987/Product-Customization-Software-market Reasons to buy: Procure strategically important competitor information, analysis, and insights to formulate effective R&D strategies. Recognize emerging players with potentially strong product portfolio and create effective counter-strategies to gain competitive advantage. Classify potential new clients or partners in the target demographic. Develop tactical initiatives by understanding the focus areas of leading companies. Plan mergers and acquisitions meritoriously by identifying Top Manufacturer. Formulate corrective measures for pipeline projects by understanding Product Customization Software pipeline depth. Develop and design in-licensing and out-licensing strategies by identifying prospective partners with the most attractive projects to enhance and expand business potential and Scope. Report will be updated with the latest data and delivered to you within 2-4 working days of order. Suitable for supporting your internal and external presentations with reliable high quality data and analysis. Create regional and country strategies on the basis of local data and analysis. Customization of the Report: Market Info Reports provides customization of reports as per your need. This report can be personalized to meet your requirements. Get in touch with our sales team, who will guarantee you to get a report that suits your necessities. Get Customization of the Report@: https://www.marketinforeports.com/Market-Reports/Request-Customization/79987/Product-Customization-Software-market Contact Us: Mr. Marcus Kel Call: +1 415 658 9988 (International) +91 84 839 65921 (IND) Email: sales@marketinforeports.com Website: www.marketinforeports.com
BTS Game (App)
Alright guys well thought I just let you know for the BTS fans out there! :D I had gotten the notification on FB but I forgot to screenshot and then I couldn't find it! 😭😭😭 personally I like BTS Game more but the other one is pretty entertaining too :D. Android: HERE Just in case you like the actual link lol https://play.google.com/store/apps/details?id=com.ninhkidd.bangtanhl=en Ios: HERE Again just in case you like the link lol https://appsto.re/us/bbrBab.i Ok these are some screenshots of the game. I took them by order from left to right top to bottom. Does that make sense? Well anyways theyre really fun and I like it a lot especially the games in pictures 3 6. Pictures 3 to 5 are all the same game. You spin the wheel and depending on the time you listen to pay off the song and then identify the correct one. I love this one as well! Also to be honest Im not sure what the voting thing is though. (Last picture or the trophy 🏆 on the first set). Android: HERE Just in case lol https://play.google.com/store/apps/details?id=com.ninhkidd.btscityhl=en Ios: HERE Again lol https://appsto.re/us/hOesbb.i This one is also pretty entertaining but honestly I really love the other app. Plus I cant get past the bomb one! 😭😭 also this one you move up. You have to pass the other ones in order to unlock the next one. So I cant play the last two unless I pass the bomb one. 😭😭😭😞 Anyways hope you guys enjoyed and let me know if you plan on getting either one or both? Tell me what you think. Id love to know 😁 anyways enjoy. Vingle tag list. @kpopandkimchi @MrsJungHoseok @PrettieeEmm @MadAndrea @Meeshell @Emealia @VeronicaArtino @BBxGD @nenegrint14 @bambamisbae @Baekyeol27 @JustinaNguyen @Helixx @PrincessUnicorn @Kieuseru @Jiyongixoxo @JinsPrincess86 @KellyOConnor @amobigbang @RhiannaTiaMay @AimeeH @Skyrollins @TerraToyaSi @herreravanessa9 @ashleyemmert @CreeTheOtaku @Kyokeo @KpopINT @Roxy1903 @Stevieq @Ash2424701 @Krin @MrsBangYongguk @ArmyofKookie @annevictoriaaa @VIPFreak2NE1 @AnnahiZaragoza
Artificial Intelligence
“The science and engineering of making intelligent machines, especially intelligent computer programs.” Marvin Lee Minsky defines AI as, “the science of making machines do things that would require intelligence if done by men. It requires high-level mental processes such as perceptual learning, memory and critical thinking.” The primary goal of AI is to make our lives easier by taking care of complex and repetitive daily tasks. ⮚ From the perspective of intelligence, artificial intelligence is making machines "intelligent" -- acting as we would expect people to act. ● The inability to distinguish computer responses from human responses is called the Turing test. ● Intelligence requires knowledge ● Expert problem solving - restricting the domain to allow including significant relevant knowledge ⮚ From a business perspective, AI is a set of very powerful tools and methodologies for using those tools to solve business problems. ⮚ From a programming perspective, AI includes the study of symbolic programming, problem-solving, and search. ● Typically, AI programs focus on symbols rather than numeric processing. ● Problem-solving - achieve goals. ● Search - seldom access a solution directly. Search may include a variety of techniques. Applications of AI ● Natural Language Processing(NLP) ● Gaming ● Speech Recognition ● Handwriting Recognition ● Vision Systems ● Intrusion Detection Become a master of Artificial Intelligence by going through this online Artificial Intelligence Course! ⮚ Natural Language Processing It gives machines the ability to read and understand human languages. That means it is possible for computers to understand what humans are saying and humans can interact with computers. Today’s machines can analyze more language-based data than humans, without fatigue and in a consistent, unbiased way. Considering the staggering amount of unstructured data that’s generated every day, from medical records to social media, automation will be critical to fully analyze text and speech data efficiently. ⮚ Logical AI What a program knows about the world, in general, the facts of the specific situation in which it must act, and its goals are all represented by sentences of some mathematical logical language. The program decides what to do by inferring that certain actions are appropriate for achieving its goals. Logical AI involves representing knowledge of an agent’s world, its goals and the current situation by sentences in logic. The agent decides what to do by inferring that a certain action or course of action was appropriate to achieve the goals. The inference may be monotonic, but the nature of the world and what can be known about it often requires that the reasoning be no monotonic. ⮚ Gaming AI can play an important role in games such as chess, tic tac toe as the machine can think of a large number of possible moves based on heuristic knowledge. AI has revolutionized the gaming industry from a simplistic FSM model to a neural network learning from feedback in it’s the environment, the possibilities that these virtual environments provide to the advancement of A.I are endless. ⮚ Handwriting Recognition The handwriting recognition software reads the text written on paper by a pen or on-screen by a stylus. It can recognize the shapes of the letters and convert it into editable text. The ability of a computer to read a handwritten text is what is referred to as Handwritten Recognition. Optical character recognition (OCR) is the most mainstream technique used for handwriting recognition. This is done by scanning a handwritten document and then converting it into a basic text document. ⮚ Intrusion Detection Computer security - we each have specific patterns of computer use times of day, lengths of sessions, the command used, the sequence of commands, etc. – would like to learn the “signature” of each authorized user – can identify non-authorized user’s o How can the program automatically identify users? – record user’s commands and time intervals – characterize the patterns for each user – model the variability in these patterns – classify (online) any new user by similarity to stored patterns. ⮚ Vision Systems These systems understand, interpret, and comprehend visual input on the computer. For example, a spying airplane takes photographs that are used to figure out spatial information or map of the areas. This has a broad domain in the defense industry directly. AI can be used in numerous ways along with vision systems. Inspection applications are some of the first jobs that AI has been profitable in, specifically when leveraging machine learning algorithms for defect detection and classification. The cost of acquiring and labeling large. datasets have decreased in the past few years due to advances in IIoT, making machine learning more accessible than ever for inspection applications. The other main way that AI is used in vision systems is for continuous improvement in recognition applications. This could be deployed in nearly any scenario in which vision systems are used for object recognition. Typically, incorrect predictions can be identified and associated with recorded data, so a vision system can continuously learn and improve itself based on its own mistakes. ⮚ Content recommendation To recommend content to their users, online marketplace or streaming platforms, use AI systems that operate according to a different approach from those of the learning techniques exposed above. Here, input data are composed of all the past choices made by users. This dataset is used to create fake user-profiles and product categories, here “fake” means that they represent average user behaviors. Because of the wide variety of users and products, it is impossible to infer consumption behaviors categories directly from their consumption choices. Each user can then be analyzed from these fake categories, which makes it possible to compute a “fake proximity” between users more reliably than simply counting the products they ordered. INTELLIGENCE IN AI The ability of a system to calculate, reason, perceive relationships and analogies, learn from experience, store and retrieve information from memory, solve problems, comprehend complex ideas, use natural language fluently, classify, generalize, and adapt to new situations. Types of intelligence ⮚ Linguistic intelligence ⮚ Logical mathematical intelligence ⮚ Intrapersonal intelligence ⮚ Interpersonal intelligence ⮚ Musical intelligence ⮚ Spatial intelligence Research areas in AI AI is growing every day and new milestones are achieved every day in the field of research. ⮚ Fuzzy Logic is used in Consumer electronics and automobiles. ⮚ Neural networks are used in pattern recognition systems. ⮚ Natural Language Processing has found its way to voice assistants nowadays. NLP is used in the Google now service, in speech recognition. ⮚ Expert systems find use in-flight tracking systems and clinical systems. The future of AI is promising and an intriguing one with the possibility of providing, ⮚ Intelligent houses ⮚ Intelligent refrigerators ⮚ Intelligent forests ⮚ Intelligent oceans ⮚ Intelligent bridges ⮚ AI football players and coaches
Best Practices to Maintain your Mobile App (after deployment)
When speaking of mobile app development, you must remember one thing – the success of mobile apps both begin with and end with your users. It is all about the user experience you create for your customers. The user experience (UX) you deliver, will determine whether your mobile app will be a hit or fail in the market. Rest assured, all mobile apps that fail in the market have one thing in common – incompetent and subpar UX. There are some practices to ensure and maintain your mobile app. As a mobile app developer, you must acknowledge that mobile apps need to evolve with time to keep up with the ever-changing mobile technology. If you don’t invest your time and efforts in upgrading the UI, UX, and other features of your mobile apps, they are bound to crash and burn in this dynamic app market. No surprise why Apple eliminated 50,000 obsolete mobile apps from its App Store in 2016! The benefits of investing in the long-term maintenance of your mobile apps are many. For instance, when you continually upgrade your apps, it will result in enhanced user experience, reduced downtime, minimized uninstalls, better data visibility, improved ROI, and much more! What are the best practices to maintain your mobile app after deployment?  To ensure that your mobile app stays on the top in the market here are best practices to invest for long-term mobile app maintenance:  Incorporate timely updates Every mobile app developer should monitor how users are interacting with their apps. Pay attention to user feedback. This provides insights into the user psychology and helps you understand what features your users are looking for and what features are of no use to them.  Based on user interaction data and user feedback, you must add timely updates to add new features to your apps. You can also fix bugs in your regular updates. Also, make sure to update your apps to fit the specifications of newly launched devices as well. New features, even minor ones, can alleviate the pain points of users and make them feel heard and valued.  Fortify user security and privacy Mobile apps should not overwhelm users with a ton of permissions. Nobody wants to go through a long list of app permissions before they can use an app. It’s exhausting and frustrating.  So, make sure you only ask for permissions that are needed and relevant. For instance, an online payment gateway does not need access to the camera or gallery. When your permissions are appropriate, it will give users a sense of security and trust. Allow your user to control how they wish to share their personal information for using an app. Add a landing screen for offers Landing pages are undoubtedly the most effective lead generating and marketing tool. The unique aspect of landing pages is that they accommodate more targeted actions. You can use your landing pages to nurture and promote your business goals. Add a landing page in your mobile app that will highlight special offers for your users. Doing so will drive your target audience to avail those offers, thereby increasing both conversions and sales.  Customize the UX What better than UX customization to retain your users and lure potential users toward your mobile app! When you align the user experience with their needs and preferences, they are more likely to continue using your app.  By creating tailor-made experiences for your users, you provide them with incentives to stay loyal to your app. The best approach to personalization is by creating a highly-curated content list and material in your app, based on the users’ past purchases, activity history, and in-app interactions.  Improve customer support Your mobile app should always allow users to access customer support and assistance as and when they require. An accessible help desk will enable customers to clarify their queries and complaints conveniently.  Make sure to include different support options for your users, such as search tabs, FAQs, live chats, and live support via click-to-call buttons, to name a few. These are five excellent and proven ways of maintaining your mobile app after its deployment. If you follow these five tips, your app will never be outdated, even in this dynamic market! Stay tuned with us we will be adding more tips for you, subscribe to our newsletter here.
How Do I Pass Cisco 352-001 Certification in First Attempt?
Cisco certification is the first and basic requirement for working as a network professional in most organizations. Having recently passed the CCDE Design Written Exam certification exam I wanted to share some of my study experiences and tips with anyone that could be working towards their Design Expert cert. If you’re looking for the secret lesson on passing CCDE then you must be thinking of the very common question “How can I prepare for my Cisco certification exam?” The Best Piece of Advice on 352-001 The Cisco certification doesn’t just open the doors to networking success. It allows your profile to be marketed as a networking expert with global recognition. You are more knowledgeable than non-certified peers. This needs you to stretch your skills and recognize opportunities. Everyone learns differently, and being out of the wired and wireless networking job function for a few years I was more deliberate with my studies. All my studies were self-paced and I did not attend any classes or boot camps. This blog is a rough outline of the steps I used to study and pass the Design Expert exam. Things to Keep In Mind before Studying CCDE Design Written Exam One should understand the core concept of a Cisco certification to be able to study right. Exam is Comprehensive The 352-001 exam offered by Cisco includes a variety of topics based on networking to the most comprehensive Design. With so much to study, the exams may look tough to crack. However, it is understood that one should mainly focus on all types of Cisco exams. This requires candidates to go through the length and breadth of the topics. Practical Experience One requires both theoretical and practical knowledge in order to crack Cisco. The study requires practical knowledge and the candidate should be able to use theoretical information in real world troubleshooting and networking issues. I found a NWExam site with all the required study resources available on Cisco Certified Design Expert. CCDE Exam is a Quick One The 352-001 exam requires you to handle questions in a limited time period. Regular practice is required to excel in the exams. Even if you are a knowledgeable candidate, being able to put answers together when it matters is a stressful situation. Cisco exams also cover real world issues that need to be understood and solved right at the moment. This requires time, patience and strategy. Cisco is Marketable The Cisco certification doesn’t just open the doors to networking success. It allows your profile to be marketed as a networking expert with global recognition. You are more knowledgeable than non-certified peers. This needs you to stretch your skills and recognize opportunities. Getting the Proper Material There is a lot of misunderstanding and controversy with regards to the appropriate study materials. Going to begin exam preparation with 352-001 practice test, books and study guides recommended. These resources are easy to follow and define the Layer 2 Control Plane, Layer 3 Control Plane, Network Virtualization comprehensively. It will help you easily remember the syllabus topics. This one is probably your Bible for the Cisco exams. If you can devote more time without harming your regular professional activities, there are some impressive simulators that will help build up confidence. It is advisable to register as a member of the 352-001 Certification Forum for all the discussions, topics and advice. Approaching the Study Material ● Before you actually start with the syllabus books, learn to work with Binary Mathematics. You should be able to calculate in your sleep! ● For a good overview of the topics, solve 352-001 sample questions. ● Get actual exam scenario based questions in practice exam. ● Practice as many questions as possible.It is just not enough to be able to solve questions but solve them within time. Schedule Practice Tests Schedule practice tests well in advance of the final exam date. Present yourself a deadline and check what you have been able to do. There is always scope to improve and the rest of the days should be befitting. Conclusion The best thing about preparing for Cisco exams is being able to explore and discover new theories and concepts. The final job that you land up with your Design Expert certifications would want you to be an expert and have thorough practical knowledge of all networking topics. It is not without reason that Cisco is a globally recognized certification and attracts better jobs and salary. One must study hard and be patient. The rewards will follow themselves. Good Luck!!
Facial Recognition Technology Transforming the Industries
Facial recognition technology is gaining grounds in the market for years. With every passing year, the technology seems to improve and surprise us with its advanced functionalities and use cases. From recognizing human faces to reading emotions, this AI-powered technology has transformed the future of other industries. Implementing this technology for different purposes, businesses are gaining a competitive advantage in the marketplace. Once this technology was limited to government use for surveillance but not anymore. The biometric software behind this facial recognition technology is based on the principles of artificial intelligence combined with machine learning algorithms. These applications can identify facial structures, features, and expressions of a person while assuring the remote presence of an individual. This leaves no room for intruders to compromise the identity of individuals, making face verification an prime service for security purposes. However, the use case of this technology is not limited to security only. For instance, Listerine introduced the app that uses face recognition software online to identify the blind people and notify them that they are being smiled at. Due to the advancement in technology multiple other giant fishes, e.g. Amazon, Ali Baba, etc. are banking on it as well, emerging as a disruptive force in the market. Meanwhile, technology has raised concern for privacy. Here are some industries that are successfully taking advantage of this technology. Law Enforcement: The modern era of technology has pushed the government in adding an extra layer of security in form of artificial intelligence. The startups and IT companies are playing a vital role in providing law enforcement agencies with facial recognition technology. Face++, a Chinese Unicorn, is already working with the Chinese Government. In fact, Amazon is also selling its services to government agencies in the form of “Rekognition” that can verify the identities and read emotions. Moreover, Carnegie Mellon University was granted a patent for “hallucinating facial feature” to enhance video surveillance. This method helps the agencies to identify the suspects wearing masks by constructing their full face on the basis of a particular face region captured by the camera. These hallucinated faces can be used by facial recognition to map compare with actual faces and finding the strong correlation. Since this technology is still new, therefore, the algorithms are not trained enough to efficiently learn the differences between faces and skin tones. Retail and E-commerce: Facial recognition technology is proving to be big opportunity for retailers to improve the customer experience and increase sales. The technology used in shops can track and capture where buyers are looking at and enable retailers to serve them with related promotions through text messages or emails later on. For instance, Wallmart is using this technology to capture and analyze facial expressions of the buyers waiting in queue to reckon their customer experience and satisfaction. In the case of E-commerce platforms, face recognition software online is serving as protection from online identity theft and fraud. It is replacing the traditional authentication method (i.e. user ID and Password) since anyone having these credentials can access the account and carry out the fraudulent activity. an Integrating this technology with the sites, the systems can verify authorized users and allow them access only. Furthermore, face verification at the time of checkout combat the misuse of credit cards and online retailers can prevent themselves from false chargebacks. Healthcare: The healthcare industry is taking full advantage of this technology as well. The patients can now sign in at the doctor or hospitals without going through hassle of waiting in libn or filling the juggling forms. Also, it will help the administration in avoiding duplication of records. That is a very basic use of technology in healthcare industries. Ther rapid development in the technology has now enabled the device to analyze heart rate by thorugh change in skin color. For instance, in 2017 Amazon was granted a patent of passive monitoring, which combined facial recognition features with heart rate analysis.
Microsoft Teams Migration Best Practices
As we Launched our new Microsoft Teams Migrator as a part of our Saketa Migration tool, it is quite expected that our users will be keen to delve deeper into the Teams migration process. So, we bring in a list of Microsoft Teams Migration Best Practices for you to enhance your Teams migration experience. Microsoft Teams Migration Best Practices Even though our Teams Migration tool will ensure that there are no glitches in the process, however, there’s no harm in being extra cautious. If you are going for a heavy migration involving lots of users or huge data, taking a step or two on your part will make your migration experience even better. Let’s talk about the Teams Migration Best Practices so that we can ensure that the migration can take place successfully with no risks and best outcomes. Preplanning Preplanning always works in our favour, be it in any field and similarly, it does for Teams migration too. As soon as you are determined to migrate to Teams, make sure your source and destination are ready to undergo the process. Ensure that the users are set up and licensed on Microsoft Teams before you initiate the migration process. Pre-assess all the critical situations that might occur during the process is still going on and have backup plans to substitute the usage of the Teams platform during that duration unless it's necessary to use it. Create admin accounts to monitor the migration process The tool is self-sufficient to carry on the whole migration process but keeping a check on it manually always helps. Create new admin accounts beforehand on both the source and destination platforms so that the migration process can be easily tracked. Assessment is important and should not be skipped. Check for pre-existing duplicate names The source and destination might have few common named users or groups. These may or may not be intentionally same and might have different permissions sets or purposes. If you find same-named group names in the destination that you might not like to be merged to the new one, making little changes in their names can be a quick and easy fix. Using our Saketa Teams migrator, you will have the ability to give the teams a new name before migrating them to the destination using the tool itself. Make a list of Users to be mapped The source might bring along some orphan users who are present in the source but not in the destination. In such a case, Microsoft teams best practices include a bit of offline work on your part too to tackle any rare case of a technical glitch. It is recommended to maintain a personal checklist too to serve in an event of an emergency. With the help of User and Group mappings in the tool, you can map Unresolved users with a valid destination user. Devote enough time for Migration Teams Migration tool might be tricky and time taking. As it is continuously used by so many users, its database keeps changing at a very high frequency. Thus, syncing it might take some time. It is quite important to make sure that all the collaboration activities are halted, and the migrator gets enough free time to carry on the migration process successfully. Restrict Teams usage during migration to prevent data alteration During Teams migration, each aspect such as users, group names, channel permissions etc. need to be taken care of. Migration of custom settings and permissions require a non-altered environment to set everything right. Preventing the users from using or updating the Teams while the migration process is going on will prevent any unwanted alterations to the Teams and channels after the migration process is accomplished. Go for a Migration Patch Test It’s always a good idea to have a pre-estimation of the process that you are about to undergo. It is always recommended to go for a patch test using a smaller Team so that estimating important factors such as the time required and other minor technical glitches can be estimated beforehand and we are well prepared for them when we face the elevated version of the same during the real-time migration. Monitor your migration Even though our Saketa Teams migrator takes care of all your migration worries, the advantages of real-time monitoring can never be over-ruled. If you decide to keep a check on the migration process, it will ensure added perfection. Prefer one-time migration Due to such a large number of users, the content stored in the Teams database repository keeps on changing at jet speed. Therefore, partial migration is highly discouraged as it is sure to cause data loss due to the changing time frame of migration for each of those migration sections. Instead, find a suitable time, maybe a long weekend, and schedule the entire migration at a single go. Do a post-migration check After the migration is successfully done, give it a little time to sync and then, go for a post-migration check. If you find any irregularities, it can be sorted out before your users get access to Teams again. We are always there to Help Teams migration is quite a complex process, but following the Teams Migration Best Practices can be of great help. And it is our pleasure to make it smooth and easy for you. We understand that as it is an entirely new feature and you might come across many queries now and then. Therefore, our Support Teams is always there for your aid. If you have any query, feel free to reach us at Sales@Saketa.com and we will get back to you soonest Microsoft Teams Migration: Migrate to Microsoft Teams using Saketa MS Teams Migration: SharePoint to Teams Migration using Saketa For Existing users Saketa has always believed in being the customer’s brand, so why not gift them something that they will love. If you are one of the Pre-existing users of the Saketa Migrator, we are providing the Teams Migrator Module to you without any additional charges. And about the new customers, you are free to go for the entire Saketa SharePoint Migrator which will include Teams Migration module too or you can simply opt for Saketa Teams Migrator as a separate entity. If you haven’t tried our Saketa Migration tool yet, you might be missing out on a very convenient and seamless experience. Try out our Saketa Migrator Free trial and then decide for yourself.