Contrary to popular beliefs, the digital transformation wave hasn’t hit every business aiming to grow faster. Meanwhile, businesses that succeeded in digitally transforming themselves are figuring out new ways to keep evolving beyond the norms. Among the various methods at their disposal to achieve that, investing in enterprise application development is possibly the best choice in terms of productivity and security boosts.

To develop the best enterprise-grade applications, developers are challenged to choose the right tools and technologies. And among those technologies is Python – a long reigning champion for developers to build robust applications owing to its wide array of features, availability of resources, and versatility.

What makes Python still popular

Python is actually widely preferred by large organizations due to the ease of sourcing Python developers in addition to its vast feature-set. It’s ideal for enterprises planning to leverage complex software solutions and web applications. In addition, the open source Python is backed by a large, thriving community of developers focused on improving the language in many ways.

Here are a few of its features that help maintain the demand for Python to develop cutting-edge digital solutions.

  • Open source
  • Easy to learn
  • Modular
  • Object-oriented
  • Interpreted
  • Dynamic
  • Portable
  • Extensible in C and C++
  • High level

Many corporate giants still use Python for various purposes. Facebook and Instagram use Python to deal with various processes and the tremendous amount of data they generate. Thanks to Python, Spotify has a powerful backend analytics platform. It’s also one of the four server-side languages that Google supports.

With Python, a business can build web applications and data science & analytics tools, and can be used for cloud computing and backend support. Its many advantages still make it one of the most competent languages at present.

Why use Python for Enterprise App Development

It’s super scalable

Python can be useful in handling different types of tasks and supports quite a few programming paradigms including procedural, functional, and object-centered paradigms. It’s designed in such a way that developers would be able to code functions quickly and create scripts on a large-scale efficiently.

Building large solutions won’t take a lot of time like when some other programming languages are used. So the development cost is reduced as well. Complementing this is Python’s incredible scalability i.e. the apps built using Python are scalable, and the language perfectly adapts to scaling even during development.

Access to massive libraries

Python developers are granted access to huge libraries where they can find modules that are tried and tested by the community to use in their own projects. This way they can develop solutions faster with possibly better features compared to the initial scope of their projects.

A few popular libraries that Python developers love using include:

  • Pandas: A library with high-performance data structures.
  • Numpy: A library that could come in handy for mathematical and scientific computing.
  • Tensorflow: A library from Google that allows developers to imbue Deep Learning features and modules into their applications.
  • Keras: A library for writing neural networks, Keras also makes it easier for developers to add machine learning capabilities to an application with Python.

The language has also been written into various popular frameworks including but not limited to Django, Pyramid, and Falcon.

  • Easily understandable: Despite being a programming language, Python resembles English which is why coding in Python is generally considered intuitive. Python is also easy to understand which means developers would be able to identify and figure out the work created by others in the code. This also means a more seamless debugging process and code reviews.
  • Rich open source ecosystem: Python developers can use a plethora of useful tools when developing an application thanks to its open source ecosystem. With a wide variety of compatible tools, its community pretty much ensured that Python users have an easier time handling GUIs, web development, game development, data science, image processing etc. These tools are also one of the reasons why Python development is faster.
  • Faster prototyping: With Python, it’d be easier for developers to switch between prototype and the solution. The language also facilitates faster prototyping especially when the viability of the projects needs to be checked out. While proceeding further from the prototype phase, the developers won’t have to be concerned about losing their previous work as well.
  • Dynamically evolving: Enterprise solutions are generally sophisticated, and their complexity demands developers to be more focused while working. The whole ordeal would seem more comfortable and intuitive with Python. In addition, Python is a dynamically evolving language where a new, more advanced version of the language comes out every couple of months with improvements, fixes, and a new array of features. Each release makes the development of time-intensive, complex projects much easier without compromising the application’s quality and integrity.

Key takeaways

  • Python’s code-light nature allows developers to develop complex enterprise-grade solutions faster without compromising quality.
  • Python facilitates faster prototyping, and seamless switching between prototypes and the solution.
  • Python is impressively scalable and versatile, and can help developers handle many common programming challenges efficiently.
  • Python’s library support allows developers to imbue sophisticated features into the applications being developed while greatly improving quality.
  • Python’s optimal integration capabilities allow developers to use powerful tools during development and add unique features into the applications without hassle.
  • The Python community, surprisingly, is still growing. And at a great pace. As more Python developers join the fray, the core functionality and features of the language expand to meet modern technological requirements.


Despite Python reducing complexity considerably, there still can be problems. Technical issues are almost always solvable as experts in the Python community are quite dedicated at helping each other solve issues. The Python technical forums are indispensable for budding Python enthusiasts.

In a nutshell, it doesn’t seem like Python will lose its momentum; even as new technologies and worthy successors pop up. The language simply doesn’t let an enterprise down.

If you are thinking of developing a great application with Python for your business, make sure you invest in a developer with ample experience and expertise. Python developers at AOT have both. Drop us a message to learn how our Python expertise can upgrade your business.

With enterprises having realized the massive potential of mobility, the demand for mobile application development exponentially increased. The global enterprise mobile app market is expected to cross $280 billion before 2020. There is an app for pretty much everything now, and developers are constantly looking for ways to bring more innovation into apps while new-gen technologies emerge.

Because the industry is so big, even a small shift in trends would heavily influence how mobile application development is carried out. And there will certainly be new trends replacing old ones, especially when the industry is full of organizations competing with each other to figure out the best ways to serve mobile users or potential customers.

The rising demand for mobile app development

The increasing demand for mobile apps and, subsequently, mobile app development is due to a number of factors including but not limited to:

  • Accessibility – According to Statista, as of 2018, there are over 4 billion mobile phone users in the world. This emphasizes that people consider mobile devices an invaluable tool in their day-to-day lives. It’s now the primary tool that people use to access the internet and find information.
  • Customizability – Mobile apps are customizable. Though apps will practically never be able to meet the requirements of all kinds of customers, they can still impress a good majority. Internal enterprise apps can be customized to serve the organization’s employees, and the external apps can be customized to engage and serve customers.
  • Internet usage trend – High speed internet connections are available to anyone today at reasonable prices. Such accessibility changed the way people find information, increasing reliance on the Internet. The proliferation of mobile devices only complemented this practice. People spend a good majority of their time online using mobile devices.
  • Increase in BYOD – Technological advancements and rapid digital transformation techniques have started changing work culture in enterprises. Companies now allow employees to bring their own devices to work with the help of mobile apps that facilitate collaboration, remote accessibility, and remote work management.

Trends that will change things further

For public enterprise apps, satisfying customers and making a profit out of the deal is the objective. To do this, their apps will have to be designed to provide the best user experience possible. This is kind of tricky as mobile apps run on devices of various shapes, sizes, and hardware specifications. It’s up to the developers to figure out how to provide great UX and, in the process, obtain maximum ROI.

That’s how it’s been till now. Let’s see how things might take a turn next year by observing emerging trends in enterprise mobile app development.

Redefined mobile strategies

As new trends emerge and are adopted, enterprises will have to make adjustments in their mobile strategies as well. This trend repeats every year without fail. This time around, fresh mobile strategies are going to turn a lot of heads thanks to AR and VR. AR and VR-driven mobile experiences are predicted to increase revenues for businesses tremendously. AR and VR hardware would go mainstream next year subsequently leading to widespread reception of AR-VR mobile experiences.

Instant apps will make a comeback

Instant apps garnered a lot of attention in 2016 when they appeared for the first time. They are essentially small-sized native apps that can be instantly launched without any download. Modern mobile users demand a great UX that features shorter load times and better performance. Instant apps are the answer to this. Though they are kind of not that active right now, instant apps will most likely make a comeback next year.

Better mobile UI/UX with predictive analytics

Mobile apps have evolved from being simple utilities to being a core component of business’ workflow. But for the app to succeed, it should satisfy its users. Big companies like Apple and Google are already leveraging Artificial Intelligence to utilize predictive analytics in order to enhance customer journey, user interface, and overall user experience of their apps. We will be definitely seeing further advancements in this sector next year.

Even more mobile app security advancements

As years pass by and cyber-crimes increase, mobile app security is expected to become more robust. Any technology can have security vulnerabilities that can be exploited. There are now mobile apps out there that handle confidential data of their users and perform financial transactions on a daily basis. It’s open season for cyber criminals. This being the case, there’s always been a demand for better security techniques and approaches.

This trend isn’t anything new, but judging from a major shift in mobile culture owing to technologies like AR, VR, IoT etc. going mainstream, mobile app security will be getting some major upgrades next year. App developers along with technology vendors will be investing more of their time in enhancing mobile security.

More recognition for mobile wallets and payment gateways  

Technological advancements made everything much more convenient to people owning mobile devices, and this also includes easier payment methods. The improved services and convenience have changed customer expectations to the point that they expect mobile apps to facilitate frictionless payments during shopping. This is how the transition from cash to credit cards, mobile wallets, and digital currencies happened.

Mobile Commerce is a big industry now, and preferred more simply because it’s the most convenient way to shop. An easier payments mechanism adds to the experience. In 2019, we will witness more app developers integrating secure payment gateways and mobile wallets into apps.

Chatbots will extend CRM

Chatbots are about to gain great momentum in the digital realm, evident from a recent Statista report. The report forecasted a global Chatbot market growth that will exceed 1200 million U.S. dollars by 2025. Chatbots have already started becoming prevalent in the form of virtual assistants in mobile and web apps. AI will soon be augmenting chatbots to cater to mobile users in a smarter, more human-like manner.


There has always been an emphasis on smartphones and mobile apps leading to the future. And it’s been happening for the last couple of years. Even with new-gen technologies like AR, VR, IoT and AI gaining more traction, mobile apps still remain the most influential digital technology today. This makes it all the more exciting to see how mobile app development will transform as trends change in 2019.

The experts at AOT will be keeping an eye out for trend shifts in app development too so we can continue developing top-quality mobile apps for our clients. Drop us your queries to learn more about AOT’s app development expertise.

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IT-as-a-Service or ITaaS is now everywhere, and is widely regarded as a major player that drives digital transformation in enterprises. The trend of treating information technology as a commodity started a few years ago, providing enterprises with everything IT – from scalable hardware to custom-crafted software solutions, apps, cloud integration, and IT consultancy and support.

Now there are subscription-based models where enterprises can scale their resources up and down to suit dynamic business requirements.

Benefits of ITaaS Subscription-based Model

In today’s world, these models offer great benefits for enterprises regardless of their size.

Scalability & flexibility

By just paying a monthly subscription fee that depends on the number of users and systems used by the enterprise, the business becomes immediately adaptable to changing requirements. This can be particularly beneficial to growing businesses and startups that aim for rapid growth. The model would ensure a consistent growth of their IT capabilities that match the business’ own growth, without the enterprise needing to spend too much resources for the same purpose.

The unbridled scalability can also benefit enterprises with dedicated IT departments and on-premise hardware by increasing their resources when needed. ITaaS providers can also provide end-user services and application management services, while the in-house team handles the enterprise’s core components and critical processes.

Because ITaaS is platform-agnostic, they can also provide flexible delivery models ensuring that enterprise customers get resilient, reliable, and high quality services. Some providers also allow enterprises to mix and match delivery models through colocation or with a cloud-based model.

A recent Deloitte survey claims that over 90% of the surveyed CIOs were adopters of ITaaS owing to the flexibility benefits.

Extensive support

ITaaS’s scalability and flexibility are backed by extensive 24×7 support, giving enterprises access to expert technical resources to ensure that no problem hinders their advance to progress. For most growing enterprises, finding, let alone employing, such resources in-house can be challenging. ITaaS providers adhere to top standards when it comes to providing support and technical guidance to enterprises.

Minimal upfront costs

Owing to the tight competition that businesses face today, CFOs tend to be reluctant when it comes to IT investments that do not directly generate ROI. This is why ITaaS’s minimum upfront investments is a steal for CFOs, where they need pay upfront only for the exact amount of resources required.

This way, the enterprise will not be burdened with excessive resources that they simply do not need. In addition, ITaaS expenditure is transparent, and the expense of each transaction can be attributed to the operational domain where it was used. Basically, there is a shift from Capex (Capital Expenditure) to Opex (Operational Expenditure), which also translates to tax advantages.

Accessibility to new technology

New technology keeps coming out by the day, and mastering them could make all the difference for enterprises. Leveraging emerging technology effectively would give enterprises great competitive edge. But as many enterprises are hesitant to spend a fortune on a technology that they are not sure about, ITaaS can provide a feasible approach. With ITaaS, enterprises are able to access and experiment with latest technology, and find out what works best for them.

Improved network security & proper maintenance

With ITaaS, enterprises would be using up-to-date hardware. The ITaaS providers will also keep the software patched and updated regularly, freeing enterprises from the hassles of infrastructure upgrade. In addition to proper maintenance, ITaaS also ensures that the enterprise’s networks are secure.

Most enterprises, on a rush to grow rapidly, tend to neglect network security. Some of them fortify only the basic aspects but with sub-standard security. Thus, they keep their vulnerabilities exposed. And these vulnerabilities are what 70% of all cyber-attacks have been exploiting since the late 1990s, according to Verizon’s recent report on data breach.

ITaaS providers offer many services that secure enterprise networks, including stringent patch regulations that minimizes vulnerabilities in systems and sending security experts to assess a company’s IT infrastructure, network security, and outdated software. In addition, the providers can also proactively monitor the systems 24/7 for issues, and flag them before they emerge as a threat.


IT spend is certainly increasing. As a matter of fact, the Global Technology, Media and Telecommunications Predictions Report by Deloitte last year estimated that global spend on ITaaS would reach close to $550 billion this year. On average, enterprises spend a quarter of their IT budget on pay-per-use services, and the figure is expected to go up to 50% by 2022.

To conclude, ITaaS presents a better future for enterprises where they don’t have to spend on things they don’t need. That pretty much makes it a major factor that contributes to digital transformation of enterprises. But the catch is that ITaaS should align with business needs. If your enterprise requires an IT partner with the expertise to solve all your IT troubles, get in touch with AoT technologies today.

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Modern day businesses can undergo digital transformation in a plethora of ways today owing to many factors – from DevOps and hybrid/multi cloud to the Internet of Things. But these evolutions consequently increase the complexity the business has to deal with as well. The challenge thereafter would be to figure out an optimal management strategy for the various business technologies employed.

A few years back, quite a lot of surveys predicted that digital businesses would have to become data-centric by 2018 to maintain accelerated digital transformation. The extensive adoption of big data by many businesses in recent times also seem to indicate that many businesses finally accepted a data-centric approach to prepare for a diverse future.

The modern day data-centric approach

Present day digitization of a business involves management of the flow of data, and the rate of data flow i.e. more data moving much faster. So businesses today have to find a combination of the right technologies to facilitate this movement of large amounts of data while keeping up with changing industry standards and user demands at the same time.

Such an approach also mandates robust security mechanisms. This is one reason why DevSecOps is starting to gain momentum amongst businesses. Ask any Security or Operations team member in a DevOps environment, and they will admit to the complexity of the landscape and the threats they deal with every day.

For modern day businesses, the main challenge is that the management of many transformational emerging technologies like IoT and multi cloud in their business ecosystem is becoming increasingly complicated.

The solution?

Any strategy or methodology or even practices that enable efficient utilization of the available business information without simultaneously exposing systems and data to unacceptable levels of risk counts as a good solution.

The solution can take the form of a powerful enterprise software tailored to fit right at the core of a business. In addition to such a solution, the business will also require rich data gathering and extensive analytical capabilities. This is where machine learning and micro analytics shine today.

Machine Learning + Micro-Analytics = Meaningful Intelligence

The present business conditions can be surmised in just one sentence – Businesses are data-rich, but knowledge-poor.

That is, businesses today simply generate too much data that move too fast to be understood by humans. The machine learning technology along with advanced analytics tools allow organizations to transform this data into information. This information in turn provides actionable intelligence or knowledge that allows the organization to operate smarter, better, and more efficiently.

Micro-analytics technology provides limited yet specific analytic capabilities that work efficiently with more advanced analytic tools. Micro-analytic capabilities can be tailored for specific use cases.

Combining machine learning and micro-analytics gives a much broader intelligence foundation for an organization which can set up the ideal conditions for accelerated digital transformation, and provide support for increasingly complex operations in the long run.

What awaits businesses in the near future

2018 will bring more challenges to those who manage data flow in digital businesses, and those that are in charge of privacy and security of those data. To tackle these challenges and to successfully embrace a data-centric approach, businesses will have to trust technologies like the cloud, machine learning, AI etc. to deliver what they promised. Meaningful intelligence is the foundation of a data-centric approach.

If you want your business to be armed with analytical capabilities and powerful enterprise solutions that leverage AI, that is our forte here at AoT. Send us a message to know how we can help.

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Due to the dynamic technological advances in today’s digital age, the software development and QA team face continual pressure to deliver top notch quality software in a short delivery time. In such scenarios, the QA team can leverage automation technologies to get things done faster and more effectively. However, test automation itself is fraught with many challenges. And this is where the cloud makes a difference today.

The proliferation of the cloud and the increased adoption of Agile workflows by organizations subsequently increased the demand for solid test automation strategies by QA professionals.

If Forrester’s prediction becomes true, the total global public cloud market will cross $175 billion this year. The cloud testing market on the other hand is project to cross $10 billion alone by 2022 according to the forecast by

With the cloud offering more flexibility than ever in addition to unique services that in fact accelerate digital transformation in an enterprise, it is no surprise that cloud test automation is gaining momentum each day.

Let’s explore the benefits of cloud test automation in enterprises.

Supports pretty much ‘everything’

This ‘everything’ includes platforms, devices, and even browsers. Essentially, cloud test automation facilitates testing on multiple platforms in parallel unlike traditional testing where they are done one after the other. As a matter of fact, parallel testing is one of the most important features of cloud test automation helping the QA team cover many devices, versions, and platforms at the same time, thus saving a lot of time for the entire testing process.

Additional benefits include quicker turnaround when it comes to deployments, and overall much faster and effective testing ideal for an Agile ecosystem. Many cloud automation providers also offer access to a plethora of virtualized testing resources.

Redefines real-time collaboration

Cloud test automation also facilitates effective real-time collaboration. One great example to this is the popular cloud-based test automation tool, Selenium. In addition to great flexibility, one of the main features of Selenium is that it provides real-time collaboration for enterprises with teams scattered across different parts of the globe.

Most cloud test automation services ensures easier collaboration for the testers while providing greater accessibility to testing tools, reports, and suites. The practice complements the DevOps culture so well that the delivery pipeline would be seamlessly automated leading to increased productivity as well as reusability of test components.

Cost-effective testing

Back in the days, cloud technologies did not have a reasonable price tag for many businesses, and proved affordable only for big companies. This is not the case now, as the comparatively lower cost of cloud is now one of the most compelling factors contributing to its increasing adoption. This also applies to cloud test automation today.

A good portion of defects in testing can be attributed to a poor configuration of test environments. This is not a concern if it’s cloud-based testing, which is why it’s safe to say that cloud testing can indeed reduce operational and capital costs. However, services differ depending on the service providers. It’s obviously a good idea to rely on reputed cloud service providers that can responsibly build, execute, configure, and update the environment as required.

Quicker and more efficient

In addition to the natural benefits of the cloud, cloud-based automation itself considerably improves accuracy and efficiency of the testing process, and ensures great quality and high efficacy of the software application. Cloud test automation further augments itself in an Agile ecosystem by facilitating extensive customization so as to improve user experience.

Even if the components in the cloud are distributed across the globe, they can all be automatically updated. The resulting seamless data access and automated actions significantly improves the test cycle.

Faster deployment

With cloud test automation effectively facilitating real-time collaboration, the cloud’s inherent flexibility, and the transparency with various teams (both QA and development), it becomes easier to fix anomalies. Developers would be able to mitigate tasks efficiently, and fix identified issues right in the early stages within the cloud itself. The QA team would know what’s going on. Cycle time is essentially reduced which translates to faster application deployment.


Cloud-powered testing tools have already gone mainstream, and are now commonly used for performance and load testing. The scaling capacity, pay-as-you-go pricing model, and the overall speed boost granted by the cloud makes it a feasible option for businesses competing to deliver desired results in the shortest time.

Experienced cloud platform managers can help integrate cloud test automation to your business environment effectively. It’s safe to say that cloud testing is in fact the testing approach of the future for enterprises.

If you want to leverage cloud automation capabilities with solutions personalized for your business, AoT technologies is the right place to be. We have the team, resources, and raw potential to digitally mold the cloud to fit right in with your business driven by innovative AI-powered digital solutions. Feel free to contact us to understand how we can change your business.

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