Category Archives: iOS app development

  • iOS App Development

    Top 4 Trends That Define Future Of iOS App Development

    Top Four Trends That Define Future Of iOS App Development

    A couple of days ago, Apple launched their new Operating System iOS 11.3, which has a lot of improvements in the existing features. As a result, it is crucial to be in check with iOS App Development trends. The main reason why iOS applications are succeeding is that they offer better security capabilities than Android. In this article, you will get to learn four trends that define the future of iOS App Development.

    1. Swift 4.

    Everyone who is involved in iOS App Development knows what Swift is. Swift is a programming language that was developed by Apple to offer support to iOS and Linux Operating Systems. Swift 4 is an upgrade of Swift 3. The good thing about Swift 4 is that it was designed in a user-friendly manner, is scalable, and offers security that is robust. The question is what is in it for the iOS  App Development team? The development process of the apps will be more straightforward and will take up less machine memory. In today’s world, most people like working with applications that are simple and secure. The good thing is that with the help of Swift 4, such as achievable in the future.

    2. Upgrades in Artificial Intelligence and Siri.

    From the moment the iOS App Development team came up with Siri, it has become so famous all over the world. Siri has brought considerable changes in Artificial Intelligence and learning that is contextual since it can understand what people are searching. Additionally, Siri has helped people find answers to some seriously challenging questions. The good thing is that it also has GPS features which help people to easily navigate the country without getting lost at any one point. You can now see why such functionality is popular, and will still be used in future years.

    3. Apple pay will become more user-friendly.

    Apple has introduced a digital online mobile wallet that helps iOS users to make payments faster and efficiently. The good news is that it will not only support iPhones, but iPads, Mac laptops, and iOS watches as well. If you are planning to get Apple pay, do not be worried about security at all since it is highly secured. Surprisingly, there has been an increase of 500% on Apple pay transactions. You can reserve hotel rooms and book flights using Apple Pay. A unique thing about Apple pay is that you can send or receive cash through messages. Apple still retains strictness when it comes to security. As a result, iOS App Development team can implement Apple pay. You can be able to tell that Apple pay is safe enough for you since you are not asked to provide your credit or debit information anywhere. That means it will serve most people for some years to come, and it is expected to gain more popularity.

    4. Proper file management.

    When Apple released iOS 11.3, it came with an app known as Files, specifically for file management. “Files” is a cloud-based application that allows a user to store all his or her information in one file that can be accessed anytime using any device. Individuals and big companies can use it. All you need to do is create a dashboard where you will be storing all your images, files and videos together. So much time is saved since you do not have to keep searching for anything. Sharing of information will be so easy due to the invention of cloud-based apps. Therefore, “Files” is likely to be the next big thing in the future.

    Conclusion

    As time goes by, technology continues to change. For you to be in check with all changes, you need to keep up with the pace. Apple has so much in store for iOS developers and final users in the years to come. To stay updated with all the upcoming trends, the developers have to develop trending apps.

    Contact us to discuss more about iOS app development

  • DevOps Engineer

    5 Biggest DevOps Mistakes You Must Avoid

    There are Five Biggest DevOps Mistakes You Must Need to Avoid.

    Introduction

    Most business owners talk about DevOps, but when it comes to implementing them, problems start. Having gone through the process with many companies, a devops engineer told me the five common devops mistakes organizations make when carrying out devops development for the first time. Adapting to change is not easy for any organization, but if you try hard enough and avoid these mistakes, your switch to DevOps will be smooth.

    1. Failure to consider staffing and resources.

    If you do not have enough knowledge about the workloads of your team, and their capabilities of performing tasks, do not force them to adopt the DevOps strategy. Your devops developer will advise you to quantify the workload of each and the team as a whole. The next steps are devising key performance indicators (KPI) and ensure that they are well monitored. Understand the performance of all your employees, and use the information to arrange your workloads. Without adequately considering workloads and resourcing, you will have a team with unhappy employees who will be busy looking for other jobs in other companies.

    2. Moving to DevOps without enough preparation

    Companies are rapidly moving to DevOps. The problem is that a devops engineer of an organization is assigned duties without evaluating his or her level of expertise in the field. Also, other companies are willing to take up develops projects with a small team of less experienced DevOps professionals to look different from the competitors. As a result, they end up delivering low quality work. Moving to DevOps is a brilliant idea, but only if you are well prepared and have vast experience. The level of skills has to be extremely high. For a devops developer to get a job, your level of experience and expertise have to maintain a threshold level.

    3. Selecting speed over quality.

    Many organizations focus on manufacturing a product fast, instead of focusing on the quality. DevOps tasks must be accomplished by maintaining high standards. Since devops development requires speed, you do not have to replace quality with speed. On the other hand, you cannot compromise speed with quality. In today’s world, competition has become so stiff and staying relevant is a challenge. That is why many organizations rush to take up DevOps projects and finish them in the shortest time possible. As a result, the quality of the job is poor. Speed and quality must work hand in hand.

    4. Moving to new technologies soon.

    The problem in organizations is that DevOps professionals start using new technologies before they are done researching the old techniques. Additionally, the same professionals use technologies which are in beta mode because the competitors are doing the same. Before you start using these technologies, take time and carry out intensive research. Technology is changing on a daily basis, and plugins are being introduced to upgrade old technologies. Do not be in a rush to upgrade when it comes to technology. Take your time to learn everything in each stage, and then move to the next step when you are ready.

    5. Not getting approvals from all parties.

    When you want to implement DevOps, you have to get your team together. DevOps is a bridge between groups in a company, and every person should be in sync. Some DevOps teams are willing to follow the whole process from start to finish, but they end up getting stuck because of some introduction of new features by developers. It is the responsibility of the management to make sure that all teams can work together in a synchronized manner.

    Conclusion

    The companies that are rushing into DevOps to keep up with competition leads to making huge mistakes. The mistakes mentioned in this article can be avoided by using the best methods and having a great plan to practice DevOps better.

  • advanced mobile apps

    How Artificial Intelligence and machine learning helping in developing advanced mobile apps?

    The Role of Artificial Intelligence and Machine Learning in the Development of Advanced Mobile Apps

    Over the past decade, artificial intelligence (AI) has drastically transformed the face of the tech industry. Mobile applications have begun dominating the idle time of individuals all over the world. As any mobile app developer knows, there can be no denying the center role that machine learning systems – grounded in AI – play in today’s advanced mobile app development.

    Because AI technology is being increasingly used by any competent mobile app developer, it is imperative that you understand what AI and machine learning concepts are doing inside of mobile apps. Providing you with a valuable introductory education regarding this subject is the intent of this post.

    Mobile App Users Want Their Experiences to be Personal

    It should come as no surprise that users enjoy applications most when they are intuitive and personal. Developers know this, and they know that AI technology can provide this. The quality of user experience an application provides may serve as a clear indicator as to the future success of the application.

    There are plenty of current examples of machine learning being used to provide a personal experience to users in popular mobile applications. In 2016, Taco Bell released a mobile app, “TacoBot”, that uses machine learning to tailor user experience by providing personalized menu recommendations and anticipating the user’s purchase trends.

    Amazon’s Alexa is another groundbreaking current example of an application that uses AI and machine learning to transform the experience of the user. The mobile app developers behind Alexa infused her with speech capabilities. One must only ask Alexa for what they want; Alexa will provide.

    Apps infused with AI, called “smart apps”, are rapidly growing in popularity among users because they can provide the personal experiences that users long for.

    Artificial Intelligence Will Become Mainstream Business for Businesses

    For better or for worse, businesses will need to implement competitive AI technology into their mobile applications if they want to stay in the game. If they don’t stay up to date with advancements in AI technology, they will get left behind by all the other businesses who are making the most of the opportunity.

    Because they have done their research into artificial intelligence and user expectations, the major tech companies are already implementing AI algorithms into their mobile applications in order to further entrench their existing users into their grasp.

    These machine learning algorithms are written to adjust themselves based on learned behavior. Users seem to always want app developers to make their apps more user friendly. As more and more applications are developed with machine learning algorithms, businesses are able to access the data generated by the apps to continually improve their user experience. This pleases the users, and the users will continue to want to use the apps. When this happens, users and businesses both get what they want.

    Machine Learning – More than Just User Experience

    Improvement of user experience is but one area of machine learning technology that mobile app developers capitalize on to improve their apps. There are endless possible uses for machine learning technology as developers learn more about neural networks and how to create algorithms that function more and more like the human brain.

    In addition to improving user experience, machine learning technology is also being used by mobile app developers to detect and prevent fraud, provide product tagging automation, manage your wallet, give computers vision, create self-driving cars, and more.

    Clearly, AI technology is paving the way for the future of mobile app development.

    This post was meant to give you a brief educational glimpse into the world of AI and machine learning technology and introduce you to how it is being used in mobile application development. Next time you use a mobile app, you might notice how your user experience has been tailored specifically to you. Next time you unlock your phone, you might realize that it is AI technology allowing your phone to see and recognize your face. You will hopefully begin to understand why developers are going to great lengths to include AI and machine learning technology in their mobile apps.

  • serverless technology

    Top things developers need to know about serverless technology

    Top things developers need to know about serverless technology

    As a developer, you must be updating yourself with the ongoing advancement in technologies; our main focus today is how serverless technology can be used by developers. It seems odd to think about serverless technology, but when it comes to the value, this brings to the table, it’s great for mobile app developers.

    The serverless technology has been in existence since 2014 when Amazon Web Services unveiled the AWS Lambada serverless computing services. The race in this technology rose in 2016 when cloud service providers swung in that direction. The sky is just the beginning for this promising technology.

    In 2017, Gartner published their Annual strategic tech trends which the firm described how the serverless-technology was part and parcel of the mesh app and service architecture, commonly known as MASA. The MASA architecture is a multichannel solution that leverage APIs, containers, microservices, serverless computing and cloud to deliver flexible, dynamic and modular solutions. In the journey to achieve this, more tools will be developed to make it a reality.

    That is why we are going to discuss the top things that mobile app developers should be aware of when it comes to serverless tech. Let’s dive in.

    Servers are still being used

    Serverless tech can be described as an approach to replace virtual machines with computing power that exists once a request is placed, and it disappears after use. In the serverless structure, it includes (BaaS)backend-as-a-service and (Faas) function-as-a-service. Functions are invoked because of specific events. Functions are described as small packages of code that run within containers to the point where they die once the task is finished.

    This concept does not mean that servers are not in place. Servers are actually involved in the process. The difference between serverless computing and cloud services is that server is not always running in a serverless architecture. Additionally, you don’t have to manage the servers or worry about how you can scale. You only have to deploy the code, and you are good to go. It also costs less because your servers run when they only need to.

    Pay for what you use

    As a developer, you need to develop applications appreciating the cost-effective nature of the serverless architecture. In serverless architecture, you don’t pay for idle resources. This is a great advantage because it is now possible for companies to cut down their costs of operation.

    In a research conducted by a cloud economics management company, it was stated that most virtual machine instances operate at sub 20% load. In serverless architecture, you only pay for what you use to avoid the VM headaches.

    Additionally, the serverless providers can provide free tier services. To show you how powerful this technology is; in a Serverless conference, two real-world applications were presented on AWS Lambada, and they never surpassed the free tier limit. These applications never paid anything to AWS.

    Focus on the development

    Technology has grown over the years, from saving companies huge investments because of cloud technology to the use of serverless architecture that also does not need someone to manage cloud virtual machines.

    Developers are now able to focus on mobile app development without the worry of server management because serverless providers worry about that on your behalf. Companies will then have more time for innovation and mobile app development. Additionally, it is easy to market because of the ease of deployment and scaling that serverless tech provides.

    Microservices will still exist

    Microservices are used to break down the code to small services which makes the process of development, deployment and scaling easier. Although functions are mostly used in serverless-technology, microservices will still be used. This is because functions will not be able to do everything because of its granularity. For example, if your API is going to work with a database, there will be a faster response since things are ready and open which is not the case when it comes to functions.

    Most importantly, as a developer, you need to know that a group of functions is like a microservice. Microservice and functions can exist together in a complementary fashion. To an end user, the difference is not felt; but to a developer, how your PI is executed as a group of a single app or as a microservice is important.

  • blockchain technology

    What is the future of blockchain technology?

    The Future of Blockchain Technology

    Cryptocurrencies brought blockchain technology into the discussion of business transactions. This demonstrates that there are applications beyond merely cryptocurrencies. You can see blockchain development across a wide range of industries. It is recognized for its advantages in digitizing databases and distributing intelligence.

    The future of this technology is unfolding now. Initial coin offerings (ICO) along with other projects are changing the way the world completes transactions in real time. Even large corporations who have yet to release a blockchain are dedicating their research and development efforts toward this end

    Blockchains are Changing the World

    Many experts compare the maturity of blockchain development to that of the Internet in the 1990’s. That is quite profound considering that, at its peak, the cryptocurrency market exceeded 1% of the world’s GDP. The potential for transforming digital transactions to drive blockchain growth is that great.

    Developers of the early Internet were not passionate about making transactions dynamic. Rather, innovation superseded even security, because people just wanted something that connected the world. Specific innovations, especially related to security, led to incredible applications in digital transactions. But, the Internet has only recently matured. It was not until recently that videos became as easy to distribute as images. Blockchains represent that next digital leap by building on the world’s established digital network.

    Advancements in Technology Never Seen Before

    Decentralized and permissionless data makes for efficient transactions. This can do away with powerful intermediaries that manipulate data to put their own agendas before individuals who own the data. It also saves developers time and allows users to become more involved. If you thought innovation advanced quickly with the advent of the Internet, wait until people realize the potential of blockchains.

    Potential to Impact Society

    Right now there are a lot of blockchain projects. Compatibility has only recently become important. Some thought that one blockchain would prove to be superior. This is still how some organizations approach their projects. Innovative and insightful developers are realizing the benefits of developing compatibility pathways.

    Blockchain communication allows the world to benefit from the best each blockchain has to offer. The combined benefits can be compared to the way the Internet distributed information to the world. This lead to online group projects and shared workspaces. Blockchains makes use of the fruits of these past labors by freeing that information.

    Without blockchains, that information is locked away. It requires permission from an often large administrative organization, that even though digitally centered, has a lot of (digital) red tape. Free flow of information does not necessitate the lack of ownership. In regard to blockchain development, it is quite the opposite. Blockchains provide the opportunity for intelligence creators to fully monetize. The digital accounts of these works, and widespread distribution, ensures security.

    The Next Digital Leap

    People take hot spots for granted. It is just expected that you have a smartphone to access the Internet. Maybe someone will ask where they can get a charge. This is interesting because, in the past, it was common for someone to ask if they could use your phone. Phone lines were not replaced by Internet access. Rather, the Internet reshaped how society functions.

    Connected blockchains promise to make a similar leap. Developers and the world will soon take the Internet for granted. It will be mastered and rarely the subject of conversation. Blockchain’s impact on ISPs will be profound. It is likely that all centralized digital networking will be rethought as inefficient and less effective. The phone brought two-way communication to homes across the globe. The Internet made face-to-face communication possible anywhere with anyone who has a smartphone. Connecting blockchains allows for intelligence, created at any point in time, to benefit the creator and the requester without cumbersome intermediaries.

    A specific outcome for blockchain technology may not be easy to predict. However, understanding how it can transform digital distribution is apparent to anyone who closely examines the technology. The world will change very quickly and it will be more than superficial. Meaningful change is destined to shape the global culture of the future with blockchain technology as a decisive factor.

  • mobile application development

    The impact of Internet of Things (IoT) on mobile app development

    The Impact of IoTs on Mobile Application Development

    As mobile application development advances, it further integrates the Internet of Things (IoT). As the CIO, CTO or CEO of a startup, you’ll drive the development of your entire firm. In today’s business climate, that means offering a great mobile app. Integrating IoT can help you offer a next-level app that vaults your business forward.

    The Internet of Things

    Although only one percent of smart devices currently leverage IoT that number grows daily. You have probably used the IoTs and not realized it. A smart television, new refrigerators and the car service Uber all use the IoT. If you’ve flown on a plane recently, the plane probably used IoT.

    The IoT uses tiny sensors that attach to just about anything. Most plane part manufacturers not outfit parts with these sensors. The part transmits data in real-time as the plane runs, providing the airline with telemetry information and part health data. If a part begins performing poorly – outside of acceptable parameters – the sensors transmits it to the ground crew. IoT simply refers to the growing group of Internet capable devices.

    Mobile Apps Using IoT

    Sure there’s an app for that nowadays, but how helpful is it? Utilizing the IoT in app provides a new level of data and service.

    Before IoT, you could locate fixed position items like a taxi stand. With IoT, you can locate the closest car owned by the taxi or car service. That simple difference helped Uber to its quick success. Its app connects you with the nearest available vehicle. It lets you know its distance and your wait time for its arrival – all with the swipe of your finger.

    It’s not magic. Your cell phone has IoT sensors inside it. Your phone knows when you move, your location down to the latitude and longitude, when you activate each app, what music you listen to, the videos you watch, and the sound of your voice, of you use a voice-activated app like Siri. The Uber driver’s cell has the same sensors. Through the magic of the Uber app, you data joins, providing you with instant car service and drivers across the country with fares.

    Designing for Mobile with IoT

    The reward for designing an IoT enabled mobile app is consumer attention. In the US, the average consumer spends about five hours a day using a mobile device. You’ll need to know a few things before jumping into mobile app development using IoT. Mobile app development differs from traditional application development.
    While computer applications can balloon in size, consumers expect mobile apps to remain small, requiring only a few megabytes of space.
    Designing for mobile devices requires thinking small in screen size, too, but big when it comes to text and buttons.
    Security and privacy take priority. Integrating IoT with a mobile app requires data encryption and user identity protections.
    Design for the ability to leverage multiple mobile connectivity options, including Bluetooth, cellular, NFC and Wi-Fi.

    While you’re busy giving consumers a quick-loading app providing instant data, you’ll benefit, too. Mobile apps offer much more than utility.
    Apps increase customer engagement by making your business constantly accessible.
    An app functions as an advertisement parked on their phone. It reminds them of your business every time they glance at their screen.
    Apps decrease costs on both sides. They reduce the need for SMS messages and newsletters/direct mail campaigns. They also reduce phone contact needs.

    The Internet of Things can provide your business with an app that provides better sales and service, ala Uber. Integrating IoT into mobile application development requires extra work in the area of privacy and security, but its benefits to accessibility and customer engagement outweigh the effort.

  • Mobile App Testing

    Best practices for mobile app testing automation

    Best Practices for Mobile App Testing Automation

    All software companies, including both established corporations and new startups, need to cater to the large portion of their customer base who rely on mobile phone technology in their day-to-day life. Having a polished desktop website is no longer enough to compete in technology-based industries. A mobile-first approach is key to getting ahead mobile app testing, and automation testing can play a large role in a company’s success.

    When developing a new mobile application, whether it’s HTML-based or designed specifically for the native iOS and Android platforms, quality assurance and regular testing should be a normal part of your mobile app development lifecycle. No new code or configuration changes should go live into a production system until they have passed all test scenarios. As mobile apps grow and evolve, their complexity can increase dramatically, which is where automation testing can add significant value for a software company. With automated testing, a quality team can write scripts for common use cases and have a computerized system run them on a regular basis. Read on to learn some best practices for setting up your mobile app testing environment.

    Platforms and Models

    Automated testing services will typically over a range of different mobile platforms and models for consumption. As a mobile app development team, it’s important to go as broad as possible when defining your testing environments. If you are deploying a web-based application that is primarily based in HTML and JavaScript, then be sure to set your tests to run on a variety of mobile browsers, both default ones and third-party options as well. Mobile app developers should focus their testing on the Android and iOS platforms but should not dismiss other operating systems that run on feature phones with network capabilities. For native app developers, meaning applications that are installed and run directly on a device, automated testing should be set up for all supported versions of the Android and iOS operating systems.

    Selenium is the industry-standard tool for automated testing. It is an open-source framework that allows developers to simulate real browsers and mobile devices. Many commercial products, including Sauce Labs, include Selenium technology in their test automation offering. Other top competitors include BrowserStack and SmartBear, both of which offer mobile testing on all major platforms.

    Test Like a User

    Machines may be responsible for running automated tests, but as a developer or quality engineer, you want to be sure to design your mobile app testing from the perspective of a normal user. This means that your tests should follow typical workflows but also account for unexpected changes that may occur on the user end. For example, your test scenarios should consider what happens when a user switches from portrait to landscape when using your application, or when they connect a third-party peripheral like a keyboard. Network stability is another key thing to consider for mobile developers. Smartphones are constantly switching between wi-fi access points and cellular networks throughout the day, and mobile applications need to be able to handle such changes, as well as momentary losses of network connectivity.

    Prioritize Your Automation

    Automation testing should be an evolving activity within your development organization. A quality team will never be able to write scripts for every single scenario within an application, so it’s important to focus on the tests that add the most value and have the most predictable results. Once these are deployed and stable, then the testing range can be expanded to include less common scenarios. In addition, when new bugs are raised during part of the development lifecycle, these should be documented in the automation system and set up in future tests.

    It’s important to keep in mind that automated testing will never completely replace the need for manual tests. Both development and quality engineers should maintain their own testing practice as part of code writing and deployment. Automation will often help to uncover regression issues in software, but things change so quickly in the development world that everyone in an organization must have a strong testing approach. Aiming for a bug-free mobile application may be impossible, but with diligent testing and automated services, companies can deliver better products than ever before.

  • Artificial Intelligence

    Top Trends of Artificial Intelligence (AI) in the Workplace

    5 Trends of Artificial Intelligence (AI) in the Workplace

    There’s no avoiding artificial intelligence. From devices like Alexa in many homes, to mobile apps and and marketing – AI already has a place in everyone’s daily life. And business is no exception, as AI is already being used to make better decisions and utilize data. Here are a few AI trends you should be aware of for your business.

    1) Artificial Intelligence Takes on Big Data

    Businesses are starting to make decisions by studying excessive data from a wide range of sources. Because of this, algorithms and real-time methods have been used to break down this data and help businesses use it quickly.

    AI helps in this space by breaking down the data to create predictive analytics. Then, artificial intelligence goes a step deeper, and uses machine learning and deep learning to improve the predictive analytics. This will allow businesses to give their customers the precise experience they’ve been looking for.

    2) Voice Assistants

    If someone argues that AI is being exaggerated, ask them how familiar they are with Alexa and similar devices. These are the most common examples of AI.

    And now, they’re making their way into the workforce. Digital assistants that can make use of voice commands are slowly going to become commonplace in the office – as they’ve already become commonplace in the home. For example, nearly half of the mobile applications on the market can process voice commands. It is only a matter of time before business applications can do the same. Business will be able to improve as employees can have more complex interactions with the applications they use the most and the data that’s most useful.

    3) Reshaping Mobile App Development

    Because AI can process data in more complex ways than ever before, the mobile app development space will undergo a complete transformation.

    Mobile users are seeking a custom, personalized experience – and many companies are able to provide it for them. This means the remaining businesses must make use of AI to provide a personalized experience on their mobile application in order to stay competitive.

    To reach this goal, the role of the mobile app developer will change. This used to be a job of coding applications to conduct specific functions. Now, a mobile app developer will work with AI so that it can process data, improve organically, and learn from users. AI will reshape the way businesses approach applications, and the hiring of those who will work on these applications.

    4) Automation via Robotics

    There’s a process called Robotic Process Automation. What it does is make use of AI to complete repetitive tasks at huge volumes. This can be anything from a simple business transaction, to processing and presenting data.

    Using this system saves a business both time and money. This is because Robotic Process Automation can complete the assigned task quicker than any employee, and more accurately. In order to stay competitive, businesses will have to implement this system and use the money that is freed up to invest in other business strategies.

    5) AI Will Actually Create New Jobs

    When people hear about AI in the workplace, they immediately translate this into robots replacing humans and taking over the job market.

    On the other hand, AI will actually create new jobs. Not only does it put computer scientists in high demand, but it requires new positions in order to run the AI. These positions include engineers, accountants, retail analysts, and more. People will be needed to train others on how to use AI. People will be needed to prepare and organize the data for the AI to process.

    So, the problem is not that AI will wipe out jobs. It will create new jobs, and organizations will face the challenge of finding candidates who can take on these responsibilities.

    It’s no secret that AI is going to continue to build its presence in the workplace – just as it has in the home. While the consumer sees things like Alexa and mobile applications that accept voice commands as normal, they will soon see this type of technology as normal in the office, too. This will reshape the role of developers, and create new positions that companies will have to fill. While this will be a big challenge for businesses to take on, the potential rewards are limitless.

  • mobile app development is going micro

    Why mobile app development is going micro?

    Why app development is going micro

    Mobile has become the primary platform for any industry to venture into. Mobile application is the driving force in the current economic landscape, everything from games, productivity apps enterprise solutions, and utility tools are all now available on the mobile platform, and it’s just the beginning. But why is it that we all have to go mobile? As a business executive, you have realized that to get to the customer fast, you have to come up with applications that run on smartphones to raise your revenues progressively. This trend of mobile app development exerts more pressure on small businesses to leverage their growth through mobile application development.

    Once a technological shift starts, it is hard to change it. When you look at the applications that are being developed in business, everything is being centered on mobile apps. Business executives are forced to change their strategies from the traditional ways to incorporate mobile solutions for all their services. These changes and variations that are implemented in business can increase the returns of business once they are deployed well.

    What are Micro Apps (MA)

    The number of apps that have been developed since 2008 when Android and iOS began range to millions. Even though apps have been churned out in numbers, there has been a change in how mobile app development works, and how apps are packaged. Native apps are difficult to use, and they usually feel bloated. ‘Micro apps’ is the new way that is on the rise. Micro apps ideally have a single purpose, a simple user interface; they are HTML based, they load dynamically bypassing app stores, and they load into communication tools like slack and FB Messenger.

    What are Micro Services (MS)

    To achieve immediate results, a microservice is used as the central unit that integrates multiple systems, solving any kind of problems. An MS counters the prolonged endeavors that are seen in interoperability between applications. Some companies like GE implemented SOA, but other companies have failed to implement it. Microservices are self-contained, atomic services that work on a single operation. MA’s have become a trend in the current business landscape because they are easy to use, they can propagate like mushrooms, and they can call several external and internal microservices.

    What are Micro Flows (MF)

    Human to machine interaction is the domain for microflows. Tools used in business process management help organizations to implement automation of business processes in a top-down approach. These systems are expensive, and they take a lot of time to deploy. When microflows come to the picture, they are easy to use, flexible to work with and they are convenient enough especially when it comes to integrating contributors to a macro workflow.

    When using MF’s, you don’t have to use complex legacy systems to solve a business issue. The current generation z are shocked at the number of complicated systems that are used by global companies. You should think like millennials who opt for of more natural ways of delivering results in business processes. For instance, managers can work better with microflows when it comes to approvals, instead of logging into a system. Microflows make business executives interact easily with several systems using a single interface.

    Conclusion

    This is not the time to find the perfect name for your mobile app or spending more time coming up with promotion strategies because the new development is ready to go live and deliver results. Gone are the days when mobile app developers are stuck to the old mobile application development trends. The combination of microflows, micro apps, and micro-services builds on each other to come up with a new generation of apps that both company executives and mobile app developers can use.

  • IT service management

    AI and chatbots: Driving the future of IT service management

    AI and chatbots: Driving the future of IT service management

    AI is an evolving technology that is gaining mainstream attention by technologists and analysts on how it is shaping up to enhance more services in the future. The IT Industry Council indicated guidelines on how to secure the use of Artificial Intelligence, as it encouraged the participation of the public and the private sector to form partnerships for innovation, investment, Education, and scalability of the future workforce.

    IT Industry Council has estimated that the U.S AI market will reach $40 billion in 2020, with a possible generation of $60 billion productivity improvements on an annual basis. In a Gartner report of 2017, the author stated that conversational and chatbot AI platforms had allowed the creation of service delivery channels for the government. These channels are being looked into by the government CIO’s to determine their roles for more opportunities to be identified.

    Implications of AI for IT service management

    One can easily think of chatbot development and AI as augmented intelligence. This kind of human intelligence is not here to replace humans; it is here to help people deliver quality services both internally and externally.

    AI is looking to disrupt three key areas of IT service management (ITSM)

    Point of entry

    Chatbots that are AI driven will automate ITSM solutions to correctly interpret requests and incidents. Different route requests and scenarios will be learned by the chatbots to the right back-end process. AI will be equipped with a deep decision path that will direct inquiries to the solution with minor faults.

    Chatbots powered by AI can identify the requester, profile them and route inquirers who are regular clients to an agency to the solution desired, saving enough time for the ITSM.

    Back-end processes that are automated

    AI can identify requests, recognize patterns and provide unlimited amounts of possible solutions to different scenarios. AI will gather the requests coming in and use integrated technology to automate the troubleshooting process until the problem is resolved.

    Knowledge management

    Databases that have trustworthy solutions will be accessed by AI solutions over time. AI will learn the organizational patterns for it to efficiently resolve issues. Not only will AI provide answers to the IT queries, but it will provide tips on training for analysts and end-users. The database will be updated consistently with relevant data, based on the new problems and their solutions.

    The path to AI

    When AI is successfully integrated to business and government agencies, there will be a lot of money saved and an increase in the service management and service desk capabilities. It has been documented by Deloitte Insights that automating tasks that have been placed on a routine by computers will free up approximately 96.7 million government labor hours on an annual basis, saving approximately $3.3 billion. Some of these tasks include using messaging apps to push important information to employees, reduce backlogs of service requests and help agencies identify trends in big data.

    For this to happen, an automated infrastructure needs to be set up to connect the entire silo network. The foundation of AI will be administered when these tech operations are merged.

    Integration

    ITSM, security, contracting solutions, procurement solution, and operation analytics should be integrated with this connected and automated infrastructure, to gather new information, identify solutions and send data that will provide sufficient responses to inquiries on events through the ITSM.

    Business process management

    The workforce needs to be looked into differently when planning for augmented intelligence. Employees need to be trained by their companies or agencies on how to manage chatbots and chatbot development, how to become knowledgeable of the agencies operations, and on how to be more diverse in the technological know-how of their organizations.

    All professionals of ITSM need to understand how security works, for instance, impersonation. Future jobs need the management of automated tasks in departments, as AI becomes a crucial business process.

    Future uses of AI

    When you look at ITSM of companies like Facebook, AI is being used to provide exceptional services that help the society. For instance, Facebook is using pattern recognition algorithms to identify texts that suggest that someone is suffering and they are considering suicide. The algorithms are trained using previous posts to identify the language that contains contexts that show signs of risk. Once the comments o posts are identified, an alert will be sent to the human review team who will suggest immediate help to the subject. Trials are being conducted in the US; if it is successful, other countries will adopt this AI capability.

    Conclusion

    Businesses in our current times expect results within seconds. AI and its branch of augmented intelligence will bring about efficient services and cost savings to businesses. If you start to deploy an AI-enabled infrastructure, you will reap the benefits of ITSM effectiveness and workforce satisfaction.

  • mobile app development Lifecycle

    The mobile app development Lifecycle that Every developer should know

    The Process of Mobile App Development

    Mobile apps are a major product of many app developers. In order to output a good product and establish consumer trust, it is important for a mobile app developer to establish and follow a mobile app development lifecycle. There are many models that developers adopt, but there are several key steps present in all of them.

    Brainstorm

    Every life cycle starts with a brainstorm process. Every mobile app requires an idea to start with, and this step allows for a collection of different ideas. Though many of these may not make it into the final product, it is critical to explore different functionalities for the app to see what consumers may want or explore new markets.

    This process is typically the cheapest of the steps since this process typically only a notebook to record ideas. No coding is typically required during this step, and is not taxing on the developer.

    Devices the apps are intended for and coding environments are also chosen during this step. It is important to choose a coding environment and device set early since these will put limitations on which ideas are possible and which ones can be discarded.

    App Design

    After the brainstorming step is the design phase, in which ideas that seem useful are combined in a layout that makes most sense.This phase involves the design of the user interface that is able to incorporate all the useful ideas together. Different layouts are typically explored, and there are free options for creating quick prototypes.

    The mobile app developer will also create an outline of the different functions that will be required during the coding process to make it easier to figure out exactly what to code, variables necessary, and optimized arrangements for the different function calls.

    Coding and Testing

    Once a user interface is decided on and the feature list is finalized, the coding process begins. During this phase, all the variables, classes, functions, structures and other elements are typed into the coding environment of choice and compiled.

    Many of the initial bugs of the code will affect the compilation process, preventing the application from fully compiling. Most modern compilers will indicate where in the code the errors occurred, making it easier for the developer to fix them. Once the application is successfully compiled, it can be run in a simulator or a physical device to begin the testing phase.

    Ideally, the code will be installed on a physical device, or multiple devices, to perform real world testing of the application. During this phase, a developer monitors aspects of the interface that work and don’t work, and look for bugs that occur in the code while using the app. When a developer is confident in the performance of the application, it is ready to be released.

    Release

    The fruits of the mobile application development process lead up to the release of a mobile application for consumers to purchase. Distribution via an app store occurs during this process, and a developer typically monitors sales to see how well the market responds to the application.

    The mobile app development lifecycle doesn’t stop after the product is released. There is a phase of updating the app and maintaining it after the release.

    Updates and Maintenance

    The analytics of the data are monitored by the developer. The code of the application is updated to incorporate new functionalities that the consumers would find useful or to remove functionality that consumers never used. The user interface typically changes after the initial release since consumers tend to find attributes of the interface confusing where the developer thought things were clearly laid out.

    Having a large number of users will inevitably bring up new bugs that were not found during the testing phases, requiring bug patches to be released to make the application more stable.

    Repeat

    Mobile application development isn’t as straightforward as following these steps linearly, so many developers have adopted nonlinear strategies that incorporate these steps multiple times during the development process. This allows the developer to quickly adapt to issues that arise and changes that occur during the process without having to completely restart.

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  • successful startup founder

    The most important quality a successful startup founder must have

    The Most Important Quality a Successful Startup Founder Must Have

    While there’s no one specific quality that defines successful startup founder, like Bill Gates and Mark Zuckerberg, there’s enough successful founders in the world today that you can just group them together, put them under the microscope, and be able to extract and identify a collective set of traits that could be attributed to their success. If you’re an aspiring startup founder, knowing what these qualities are can be as equally important, if not more, as knowing the technicals of your startup. Here’s five qualities that may foreshadow a successful startup founder in the making.

    Appetite For Risk

    Successful startup founders did not rise up to such feats by playing it safe. They risked everything they had in order to get their startup off the ground, missing out on a lot of sleep, meals, and parties in the process. Entrepreneurs who are comfortable with taking on risk tend to do much better when it comes to making high-stakes decisions under pressure compared to those who are risk-averse. Entrepreneurs who have the guts to stay in the path they’ve initially charted even when it starts to turn awry have better odds of making it than those who abandon ship and tuck tail every time there’s a setback.

    Assertiveness

    The ability to make snap decisions is an overlooked trait in entrepreneurship, but can certainly determine the success or failure of a business. The most successful tech startup founders know that they don’t have the luxury of time to digest every piece of data to make the dozens of decisions they need to make. Instead, they learn what information to listen to, make an informed decision based on that, and then move forward without any regrets. There’s simply no time to dwell on what you could’ve possibly done better, especially in the startup world where your first few months grants a very short financial runway.

    Vision

    Having a vision of what your company should stand for and what it should look like 10, 20, 30 years from now is perhaps THE TRAIT that defines a strong startup founder. If you don’t believe in your vision, how do you expect other people to believe in it? As a founder, you’ll need to instill the vision onto other people and you’ll have to make them believe that your brand is a cause worth supporting. Entrepreneurs with a strong and unyielding vision will be able to propagate a consistent brand message to their customers.

    Smiles in the Face of Failure

    People who don’t like losing or being wrong will never be able to build great startups. Failure is a key part of building any kind of business. Regardless of how meticulously you plan everything out, there are variables that you simply cannot control. Rejection is a common form of failure that you should get used to when you start a company. If you’re lucky and your business has real potential value, you’ll get one “YES” in a sea of “NOs” from investor meetups and bank loan applications. In a weird way, entrepreneurs who are slightly crazy and unorthodox can thrive as a startup founder since they care more about proving and validating their ideas than what other people think about them.

    Work Ethic

    Your work ethic is what gets tasks done, piece by piece. Without a responsible and razor-focus work ethic, your business’ momentum and growth will suffer. There are simply no shortcuts when building a startup. You’ll need to grind night and day and clock in more than 40 hours a week if you have any chance of succeeding. Elon Musk, the founder of multiple successful companies including Tesla, PayPal, and SpaceX, attributes a huge part of his success to his 80-hour work week, which is basically like working two full-time jobs. In fact, while he was creating his first company, Zip2, he was working during the day and coding the scripts for Zip2 at night.

    Final Thoughts

    There is no one scientific formula for succeeding as a startup CEO. Each entrepreneur starts out with a different set of circumstances that they must traverse around. The five qualities mentioned above are what allows these people to thrive and overcome the personal and professional barriers that would naturally discourage regular folks from even trying.

  • iOS app development

    What are the latest iOS app development trends for developers

    What are the latest iOS app development trends for developers

    Mobile is becoming a more prominent industry. A growing number of businesses are relying on it to increase their revenue. In fact, newly adapted mobile app development is seeing growing tools and techniques going into 2018. To help you out as one of the many iOS app developers, Here are the best new iOS app development trends to keep an eye out for next year and beyond.

    Wearable and IoT Technologies

    The wave of wearable technologies has brought about a new-age revolution in the way we perform many basic tasks. Wearable technology helps people better manage business and the tasks you do on a daily basis. IoT has also improved in connection to the Internet, microdevices, and wireless technologies. This connection has allowed us to rip down barriers between information technology to help make improvements for the future. These new wearable technologies and IoT will be amongst the hottest new trends in iOS app development in 2018.

    AI

    AI is growing increasingly more in contrast to other trending technologies going into next year. The improved use of cognitive interfaces and advanced analytics allow users to take full advantage of insights that have never existed before. Thanks to this, larger companies, such as Facebook, Google, eBay, and IBM have adopted AI startups for their own use.

    AR & VR

    If you’re currently aware of mobile app development trends, AR and VR shouldn’t be a new concept of discussion to you. Mostly, because they’re huge in both the entertainment and gaming industries. Select VR devices, such as Oculus Rift, Samsung Gear VR, and Google Cardboard are experiencing growing popularity among users. A few examples of popular AR games are Sky Siege, my Nav, and Pokemon Go.

    Online Security

    Currently, mobile business is drastically increasing, which means online security has to as well. Most users these days take security very seriously when deciding on purchasing a product or service. It’s now the responsibility of mobile app developers to integrated high-end security measures into iOS apps so users can trust the companies they’re investing in.

    Swift Programming

    For many years, Objective-C was the main language used for iOS apps. That is about to change thanks to Swift. This is a new proprietary programming language from Apple. It has many advantages of Objective-C but the two can still co-exist together. Swift is a continually growing language, however, if you want to develop an app, you must learn. This language creates better apps for iPhones, iPads, and Macs. It is also faster to code and simpler to test than the old language. Additionally, Swift was made to offer seamless compatibility with Objective-C and Cocoa and replace Objective-C. Currently, Swift is one of the most sought-after trends in iOS development.

    Cloud-Based Applications

    Nowadays, users want to be able to access their apps and data no matter where they are. Cloud-based apps allow them to do just that. This lets regular users see their information no matter what device they are using. This helpful feature is appealing to both regular people and businesses. It allows businesses to access their information when traveling or working remotely. They can now stay connected with other colleagues or clients no matter where they are located. One of the biggest concerns about cloud-based apps is security, so developers would be wise to pay special attention to this aspect of the process.

    Mobile Commerce

    In the coming months, you will see more and more e-commerce companies creating apps for their businesses. Customers are beginning to prefer shopping on mobile apps as opposed to websites, especially if the checkout process is safe and easy. Ultimately, every e-commerce company will need to have a mobile app, which means there is plenty of opportunity here for enterprising iOS app developers.

    Free Apps

    We will also begin to see even more free apps. E-commerce apps will be free. Gaming apps and other non-e-commerce apps will also be free for customers. This means that more apps will depend on in-app advertising and marketing in order to be profitable. Mobile app developers will need to keep this trend in mind.

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