Building a mobile application that will impress users and deliver on its promises is one big challenge. Many developers rest easy after the app is launched on the platform-specific app stores. Unfortunately for them, their troubles do not end there because an app on an app store can fade away very fast if it isn’t being given support from the development team. And by support, we mostly refer to app maintenance.

If an app lacks regular maintenance, quite a number of issues can arise including performance drops, dwindling user base and even frequent crashes. Out of all those issues, an app crash is the most threatening as it can deter new users and force existing users to seek a better alternative. To minimize app crashes or prevent crashes from ever occurring, developers can use a number of tools with crash monitoring and reporting features.

This blog however only features a list of a few of the most widely used crash reporting tools for iOS apps. We will be covering the tools for Android apps in a different blog.

Xcode

When it comes iOS apps crash reporting, Apple’s own Xcode is undoubtedly the most popular and the most widely used. The free tool comes with a number of great features to identify crashes and generate organized reports of crashes with crash locations. Furthermore, Xcode also allows developers to run and test different versions of an app in simulation mode, and even create engaging user interfaces. Using Xcode properly requires experience in good coding skills and iOS app development.

Crashlytics

Crashlytics has a great user base and a quickly growing community; the latter of which is most likely due to the fact that this tool works for both iOS and Android apps. Crashlytics can measure the severity of a crash and can also alert developers when a crash occurs.

The tool makes beta testing easier for developers and testers while also monitoring the progress of each developer and tester using the tool. One of its biggest features is its priority mechanism that prioritizes the top identified issues in the app. Crashlytics can also be easily integrated with other plugins. This tool might be the most easy-to-use and developer-friendly tool in this list.

Firebase

Many iOS developers are reluctant to use Firebase for their iOS projects as it’s powered by Google and therefore more usable for Android projects. There is no need for concern here as Firebase works perfectly fine for iOS apps. Furthermore, it’s feature-rich and free.

With Firebase’s deep analytics, the development team can get detailed reports of crash and other app issues. The tool can also prioritize crashes that should be addressed first. Even if the iOS app doesn’t crash, Firebase can still be useful as a reliable performance monitoring tool that ensures that the app functions how it’s designed to function. Another great feature of Firebase is that the development team can get insights on the different kinds of users using the app and rough observations of their usage behavior.

Conclusion

Managing app crashes is one of the key factors for the app’s success and lifespan. The faster the crashes are fixed and bugs are identified, the better the app’s performance. The tools mentioned in this blog can help any iOS developer figure out most serious app crash issues quickly and resolve them.

Develop high performance iOS apps with AOT’s expertise. Get in touch with our iOS developers to see how we develop apps here at AOT.


Machine Learning is one of the most trending technologies today with businesses, big and small, coming forward to invest in it; primarily to prevent/avoid risks, make informed decisions and grow faster. When leveraging ML techniques and algorithms, enterprises generally use either Python or R. Furthermore, most ML courses and tutorials also use one of these two programming languages.

Python has been around for a while and is being used for quite a lot of purposes other than Machine Learning, including backend development, desktop app development, advanced computing etc. R, on the other hand, is primarily used by statisticians and data miners. Both languages also come with all-inclusive ML libraries.

There is one other language that’s used for machine learning albeit by professional programmers; experts in their craft – Java. JavaScript has always been popular but recently gained a lot of momentum when some very interesting machine learning libraries popped up. With this, programmers can now implement ML methods in browsers or on Node.js.

That said, this blog covers a few open source machine learning libraries for JavaScript that every ML developer should check out.

TensorFlow.js

TensorFlow is likely the most popular machine learning library in our list. It’s designed to focus on various types of artificial neural networks and network components. The library is the brainchild of Google Brain Team, and can be used with several languages including JavaScript.

With TensorFlow, ML models can be built and trained easily as the library supports a number of activation functions, network layers, optimizers and various other components. It also features GPU support and is praised for its performance.

natural

You might have guessed from the name by now that natural has something to do with natural language processing which is closely associated with machine learning. natural is a library for NLP with Node.js.

Licensed under MIT, the open source library supports Tokenization, strings matching, sentiment analysis, phonetic matching and more.

WebDNN

A library designed to be used on deep neural networks, WebDNN is written in TypeScript and Python. It offers Python and JavaScript APIs, and also facilitates GPU execution on browsers. WebDNN is primarily used on recurrent neural networks with LSTM architecture. With this library, machine learning architects may convert and use pre-trained models with TensorFlow, Caffemodel, PyTorch etc.

brain.js

Written in JavaScript itself, brain.js like WebDNN works with recurrent neural networks and is primarily focused on training and applying feedforward. It features math routines that can be useful for neural networks and offers a variety of options including GPU-driven network training, asynchronous network training on multiple networks simultaneously, loading models to and from JSON files, cross validation etc.

ml.js

ml.js is a general purpose JavaScript ML library for browsers and Node.js. It features routines for both supervised and unsupervised learning, cross validation, array manipulation and optimization, and bit operations.

Feedforward neural networks, vector machines support, Naïve Bayes, decision trees etc. are just a few of the supervised learning methods supported by the popular open source library.

Unsupervised learning methods include principal component analysis, cluster analysis, self-organizing maps etc.

Conclusion

The last several years saw the increasing application of JavaScript for machine learning enablement. Many experienced programmers would vouch for the fact that JavaScript is indeed a great choice for applying machine learning methods, especially on browsers or servers (Node.js).

If you are interested in exploring the prospects of JavaScript-powered machine learning applications for your enterprise, feel free to have a chat with the AI/ML experts at AOT.

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Amongst the vast array of strategic approaches that modern businesses adopt for low-risk, accelerated growth, business intelligence (BI) is one of the top five. Many businesses rely on business intelligence for enabling themselves to preemptively minimize or avoid risks that they may encounter on their road to faster growth. Furthermore, BI can help them identify their greatest strengths, security vulnerabilities and even shed light on their competency in dynamic, competitive markets.

Efficient reporting, advanced data analysis and statistics etc. are just a few features of good BI tools. That said, this blog lists a few of the most widely used business intelligence tools any business should try out.

Zoho Analytics

A humble beginning didn’t stop Zoho Analytics on its way to becoming one of the most widely preferred BI and Analytics platform. With this tool, users will be able to create dashboards to visually analyze a variety of business data with hidden insights. An AI-powered assistant is also present to help users leverage the tool to its full potential.

Key features include:

  • Integration with popular business apps, databases and cloud drives
  • AI-ML powered assistant to facilitate augmented analytics
  • Unified analytics to analyze data various connected business apps
  • Wide array of visualization options – from charts to KPI widgets and dashboards

SAP Business Intelligence

SAP BI is possibly the most popular tool on a global scale to the point that it’s considered a premium service that big businesses adopt. True to its reputation, SAP BI is an enterprise-grade application for open client/server systems that successfully set a whole new standard when it comes to providing impactful business information management solutions.

Key features include:

  • Flexible and transparent BI solutions
  • On-premise or cloud deployment support
  • Simplified data warehouse architecture
  • Easy integration with SAP and non-SAP applications

Yellowfin

A BI platform designed for businesses across multiple industries, Yellowfin is known for its ease of use that makes it possible to easily access, monitor and analyze data.

Key features include:

  • Easily accessible dashboards
  • Faster and smarter decision-making
  • Interactive reports and rich presentations

Pentaho

Pentaho is both a data warehousing and business intelligence platform that can considerably accelerate enterprise data pipeline. It allows users to discover and merge all types and sizes of data.

Key features include:

  • Community Dashboard Editor
  • Big data integration without coding
  • Rich data visualization on custom dashboards
  • Operational reporting for mongoDB
  • Simplified analytics

Birst

Birst is quite unique because it’s a web-based networked BI solution that can connect data from multiple teams and departments to help make good decisions. Additionally, by using Birst, decentralized users can enhance the enterprise data model while maintaining key metrics and definitions with a unified semantic layer.

Key features include:

  • Can enable Data as a Service
  • Cloud-connected
  • Corporate and local data merging for meaningful insights
  • Refine data
  • Create top down virtual BI instances

Clear Analytics

While serving as an accurate business insights solution, Clear Analytics has almost everything to fulfill most business needs. The tool can easily extract large amounts of data from reliable sources and present them in a simplified manner in its reports.

Key features include:

  • Software solutions that don’t use much resources
  • Graphical data presentation
  • Predictive analysis to improve decision-making
  • Helps with strategic planning

Board

Board is a BI toolkit that’s also capable of corporate performance management in addition to delivering BI and analytics in one package.

Key features include:

  • Predictive analytics and simulation
  • Can build custom analytical and planning applications
  • Can generate reports by accessing multiple data sources

IBM Cognos Analytics

An interactive BI tool developed IBM, the IBM Cognos Analytics solution allows users to share data-driven insights securely in a governed environment.

Key features include:

  • Cross-departmental predictive analytics
  • Toolset for analyzing and reporting data
  • Custom dashboards
  • Cloud support and data governance
  • Intent-based process modeling
  • Generate online and offline reports

Jaspersoft

Jaspersoft is quite popular because it’s an open source BI tool that successfully empowered many businesses around the globe by enabling better decision-making with meaningful insights. It’s highly flexible and cost-effective when it comes to deploying high-performance business intelligence solutions.

Key features include:

  • Data visualization and integration
  • Interactive web-based reports and dashboards
  • Reliable and secure data accessibility from anywhere at any time
  • Available as SaaS on on-premise and cloud platforms

ClicData

ClicData is designed for small and medium-sized businesses, enabling them to create BI dashboards and reports.

Key features include:

  • Business health monitoring
  • Sharing data, insights, reports etc. with authorized groups and individuals
  • Analyze performance and progress of projects
  • Live alerts
  • Extensive data manipulation
  • Cloud-based data warehouse

Conclusion

There are many more great business intelligence tools that businesses can utilize. Some businesses, however, prefer building a custom BI tool that perfectly matches their requirements. That’s a viable option provided the software development team is efficient.

At AOT, we have developers and business analysts with ample expertise in crafting the perfect custom BI solution for any businesses. Interested in checking us out? Drop us a mail.


While the decision to invest in mobile apps positively influences the growth of a business, there still seems to be a lot of concern regarding the success rate of mobile apps. There are millions of apps on various app stores and not all of them are created equally. Some apps die out soon after their launch while others stand the test of time with performance and UX upgrades.

Historically, most apps available on the market now are native apps; high performance apps built for specific platforms. And obviously, to use native apps, they have to be manually downloaded to the mobile device. Though this approach to running apps on mobile devices is still welcome, there are now new ways to use a mobile app thanks to the proliferation of the cloud.

Cloud mobile apps are hosted on servers and accessed via web browsers. Surprisingly however, despite the appeal of cloud mobile app development, many businesses are reluctant to invest in it mostly due to the presence of many myths and confusion surrounding the technology.

If you are finding it difficult to choose cloud mobile app development over other methods, here are a few things you should know before making a decision.

Cloud mobile apps can be launched on both iOS and Android simultaneously

While native apps are built for one platform specifically, cloud apps can run on both platforms. For a business, this means that their cloud app can expose their brand to a wider audience. When developing a mobile app, many businesses find it challenging to choose a platform; with Android being the OS that controls the global market share of mobile users and iOS offering premium services and innovative features. This challenge doesn’t present itself when developing a cloud app.

Lower development costs

If you aren’t new to the mobile app development trend, you’d probably know that native mobile app development can be quite costly. So a business planning to build native apps for both iOS and Android will be spending more than double the development cost depending on the nature and scale of the app. Cloud apps are much less costly to build and will run on both platforms making it a great option for startups.

Shorter development time

The time to build an app depends on a number of factors. But native mobile app development is generally is a complicated and lengthy process. Furthermore, if the business wants to add a few more complex features, development may take even longer to finish. So the development of two versions of business apps that can run on both the iOS and Android platforms can take over a year to finish. By that time, the dynamic app market would have changed with even more difficult competition. Cloud apps don’t necessarily have a shorter development time but they can run on multiple platforms without requiring platform-specific development. So for a business about to invest in developing native iOS and Android apps, a more feasible option would be to develop a cloud mobile app. Such businesses can have cloud mobile apps developed in a relatively shorter time compared to developing iOS and Android versions separately.

Provides consistently good UX and performance

Unlike standard mobile apps that need to be downloaded from their platform-specific stores, cloud mobile apps are fully hosted on servers and can be accessed via a web browser. So cloud apps don’t have mobile hardware limitations that standard apps may have. Furthermore, cloud apps are normally hosted on powerful servers to ensure consistently great performance and user experience whenever they are accessed via compatible browsers. The catch is that cloud apps behave more like web apps or come with the traits of both web and mobile apps.

Greater scalability

For a business app to efficiently serve its purpose, it should be constantly updated and improved. Growing businesses would want their app to scale in parallel with their growth. Additionally, businesses may want to implement additional features eventually to improve user experience. Doing all of this on native apps would cost more money right after development. Cloud apps, however, offer greater scalability. Users won’t have to update the app every time a new feature is added.

Conclusion

Cloud app development is a cost-effective approach to develop apps that can perform and scale efficiently. It will also be easier to integrate business databases seamlessly with a cloud app. Data recovery would be easier as well due to the fact that data are stored on the cloud as opposed to a single server with exploitable vulnerabilities.

Interested in building a cloud app for your business? Drop us a message.


Mobile applications’ accessibility at any time anywhere led people to rely on mobile apps more, resulting in the massive growth of the mobile app development industry. This trend also presented lucrative opportunities for businesses as they started investing in mobile apps that increase business exposure, improve brand awareness and customer loyalty.

With mobile apps, customers interact with brands in a personal space thus enhancing brand value. Though a mobile app is worth the investment for a business, high app development costs often deter them. Mobile app development doesn’t have to be expensive. All you need to do is take the right measures to significantly reduce development costs. Of course there are many ways you can reduce development costs but most of them demands a sacrifice in app quality.

That said, here are a few ways to reduce the right way i.e. without compromising on quality of the app.

Plan the app development process

Most businesses often neglect the importance of efficiently planning the entire development process. App development is a complex process that may require a lot of iterations and modifications before the app is ready to offer the best user experience while serving its purpose. Without proper planning, each iteration can increase the cost of development. By planning way ahead of development, you can choose just the right features your app needs to make it stand out and deliver a great experience. This means lesser iterations and faster development.

Sketch the final version of the app

While the quality and success rate of an app depends on how efficiently it’s coded, the developer should still be aware of what is expected of the app, how it will be used and how it can stand out from its competitors. To make things easier, you can roughly sketch the final version of the app including its interface before coding begins so the developers can use this as a starting point.

This way the development team can come up with the most appropriate design of the interface and the workflow that match the sketch. This subsequently prevents unnecessary design modifications and reworks thus reducing cost.

Choose the right platform for the app

You can have an app developed for the most popular mobile platforms like iOS, Android and Windows. But if you want to reduce development costs, it’s better to stick to just a single platform. To choose the right platform for the app, you should first understand your customer base. A good rule of thumb is to go for the platform that’s being used by the majority of your brand’s customers. Another good alternative is to invest in cross-platform app development – a budget-friendly approach to launch your app on all major platforms.

Outsource the project

While many businesses see outsourcing of app development as a means of losing control over the development, many others rely on outsourcing to cut down development costs. When outsourcing the project, you hire developers and pay them by the hour. In-house teams, on the other hand, will require fixed salaries that don’t take into account the number of hours they spent developing the project. Outsourcing app development also gives you access to the expertise of proficient app developers with good track records.

Encourage thorough testing

Hastening app development simply for faster time-to-market is not always a good idea especially when testing is also not properly done. This may result in damaged brand reputation and increased development costs to fix issues that popped up after app launch. We recommend taking good time to thoroughly test the app’s framework not only to identify issues and fix them before launch but also to ensure that the app delivers on its promises.

Partner with an expert mobile app development company

A mobile app leverages many technologies to serve users and to provide the best possible experience. Most of the time, utilizing trending technologies may not be economically feasible for businesses that want to develop their app themselves. So it’s a good idea to partner with app development companies with proven expertise in the most trending UI/UX and development technologies. This ensures a high quality, high-performance app that meets the expectations of today’s mobile users. If the company provides end-to-end app development services including design, promotions and marketing, it can’t get any better.

Conclusion

The mobile app development industry is a rapidly growing industry which means you can only go so far to reduce app development costs without compromising on quality. In this age, even the smallest of bugs can impact user experience which would in turn annoy customers enough to get the app uninstalled. To reduce costs without compromising on quality, expertise and experience are critical factors. AOT has both. Get in touch with our experts to make an app that will stand the test of time.