Technology has been evolving rapidly over the past few decades at an extraordinary speed most of us never thought possible. Technology currently has infinite uses and has impacted and improved the lives of global citizens, whether at home, work, in classrooms or leisure activities. 

During 2020, businesses had to come face-to-face with the COVID-19 pandemic and the effects it had on all our livelihoods. For some, going through an intense digital transformation was the only way to allow employees to work remotely and maintain productivity in response to the lockdowns restrictions.

Software developers were at the forefront of this change, and their teams had to start incorporating functionality that enabled social engagement. Some of them had their work cut out for them, having to quickly adapt in such an agile environment to their customers' new and growing needs.

Now that we’re in 2021, more people have grown to appreciate the importance of software development. There are a number of trends that have been seen in the software development industry. We’ll discuss some of these below and the future outlook.

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Rising demand for developers

The increasing demand for digital solutions by businesses around the globe meant companies had to hire developers to transform their business models, particularly through e-commerce. Developers increased in demand by 25% between 2019 and 2020, and job portals around the globe are continuing to see a rapid recruitment boom.

While other industries and sectors started to teeter on the brink of collapse, software development continued on an upward trend during the pandemic. This trend is expected to continue over the next decade as new opportunities continue to come out of this industry.

In fact, what is evident is that developers who upskill themselves in various emerging technologies will benefit most from this trend. The top skills that will be in demand going into the future will be IT automation, and AI and machine learning. With the number of tech startups also on an upward trend, the future looks promising for software development.

A hybrid and flexible work environment

Due to the pandemic, businesses everywhere were forced to both digitise and digitalise. Software developers had to respond to this call and became more flexible by collaborating on projects more remotely than ever before.

Where developers were used to running projects mostly in person, they had to now adapt to a hybrid work approach. This has seen a reduction in meeting lengths as teams aim to become more efficient in the wake of increasing workloads.

Things are constantly changing, as the year 2020 has shown. This has necessitated the use of an agile approach on workstreams. With the emerging in-demand coding skills, self-teaching is becoming another major trend in the industry to keep up with the rapid transformation.

Growth of the Cloud

As software teams are now working remote-first, most development projects have now moved to the cloud, incorporating social and collaborative tools. Value stream management software will help drive agility right now and going forward. The cloud computing market is forecast to grow 18% in 2021, with the trend set to continue over the next five years.

The focus on cloud-native skills will gain more importance going into the future and this will be supported by virtual colocation infrastructure which allows for scalability to cope with the increased agility. The scalability offered by the Cloud is allowing developers to adjust to ever changing demand. 

Sectors such as tourism, travel and hospitality experienced reduced demand. Scalability allowed some to reduce their server needs without bearing the full costs of a physical data centre. 

Agility and the shift to cloud infrastructure has led to an increased demand for full-stack developers to support the flexibility requirements and increasing software development needs. If you haven’t already migrated to the Cloud, then this is the best time to start looking at some options that can benefit your organisation.

Low-code and no-code adoption

As organisations scrambled to adopt digital solutions in 2020, developers were left with higher workload. This led to an increase in low-code products that could be quickly deployed and free up developer capacity.

These low-code solutions are easily scalable and components can be reused on multiple clients. This is particularly useful given that the demand for developers is surpassing the ability of recruiters to fill vacancies. One example of these solutions is the Bubble platform.

Low-code and no-code allow for rapid development and deployment of web apps primarily. People with great ideas will benefit mostly from these developments, speeding up their implementation. Going forward, this market segment is expected to continue on a positive uptick, powered by the Cloud.

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AI and automation

Trends currently show that AI and machine learning will be at the forefront of software development automation going into the future. This will particularly be of benefit in test automation, helping to identify problems faster through natural language processing.

AI helps make more informed decisions as it can provide predictive analytics, ultimately improving user experience. You may need to start thinking whether you think you might need to find a software developer to help incorporate AI to speed up business processes and get ahead of your competition.

5G is here to stay

What is certain is that 5G was one of the most talked about topics in 2020, mostly for all the wrong reasons. Now that the dust has mostly settled, 5G is set to contribute to the rapid growth of software solutions.

5G is expected to have a 15% share of the global mobile industry by 2025. The outstanding speeds that can be achieved using this mobile technology, among several benefits, provide endless possibilities for developers. 

For those looking to incorporate AR and VR in their business, the speeds provided by 5G will be a perfect fit as they are resource-intensive technologies. In addition, the growing trends of progressive web apps and IoT will continue in 2021 and beyond. Their development and use will be enhanced even further by 5G technology.

The technology trends we witnessed starting in 2020 are expected to continue to grow in the long run. One thing for sure is that life will never be the same again as before the pandemic.

Are you future-looking and thinking of jumping onto one of these trends for your business? If you were searching for software development experts, then look no further. Whether it’s app or web development, e-commerce solutions, AR and VR, or getting insights from your data, to name a few, talk to Digital Grind. We’ve got you covered.

Your secret weapon in the battle for better business

No matter the size of your organisation, achieving and maintaining a high level of operational efficiency is part of the success journey. Usually, striving for efficiency means that the organisation becomes more profitable.

The most successful organisations are always trying to improve the way they operate and finding new and innovative solutions that improve performance. They know the importance of making sure they stay ahead of the competition - at every step of the way.

Generally speaking, continuous process improvement (CPI) seeks to determine if an organisation’s business processes are meeting company goals. There are various tools that are used to achieve this fast - but getting the improvement part right is a little trickier. We’ll get into this in a minute, but first, let’s look at CPI’s application in software development.

CPI in software development - The Dark Horse

For developers, CPI is an ongoing effort to improve products, services or processes through continuous testing and optimisation. This means that attention is put on making sure a business’ products are up-to-date, bug-free and secure. This process is done on a continuous basis as part of a developer’s maintenance protocols.

Changes are implemented either incrementally or in one fell swoop (also known as breakthrough improvement). The advantage of making incremental changes is that improvements are made almost as soon as they have been discovered. 

Once these have been processed, the next step is to ensure that you constantly go back to reanalyse all processes throughout the lifecycle of the project and make additional changes. This is one of the pillars of an agile environment.

Getting it right

One of the most popular CPI models used is PDCA, which stands for Plan, Do, Check, and Act. By carefully going through these steps, the ongoing cycle of continuous improvement can be achieved as the model controls and regulates the processes. 

One can also start by using business process mapping to visualise all the business processes that require monitoring and assigning responsible individuals. Below is a breakdown of the PDCA model.

• Plan: The planning phase is the initial element in the model that sets out to identify objectives and challenges within the particular project. The problem identified would need to be solved in alignment with expected outcomes. A number of possible solutions are identified, with the most favourable solution touted first.
• Do: The selected solution or solutions are then implemented, initially starting off on a micro scale. Data is collected for analysis purposes to measure the progress of the implemented changes. The main purpose of the Do stage is to ensure that the proposed solution is fully tested before it can be rolled out fully to the entire system. 
• Check: The checking stage involves taking the data collected during the Do stage to compare if it matches expected outcomes. The purpose of this is to assess whether the solution was successful and if additional improvements are necessary. Any useful information that can be gathered is recorded and the Do and Check processes are repeated.
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• Act: This phase involves actual implementation after all the pros and cons of potential solutions are laid out, based on the information gathered in Do and Check stages. Any feedback received is also considered. If the solution is not as successful as initially expected, an alternative is then considered. 

Once a workable solution is implemented, it’s time to focus on the next identified urgent areas to improve and the same cycle repeats.

Why should you use CPI?

There are a host of benefits when it comes to using CPI for your brand. These ensure that the quality and integrity of the software is kept at a high level. Here are five key benefits:

• Quicker feedback: With continuous testing, the development team is able to receive feedback on any issues that require their attention within a short timeframe. By monitoring all stages, early feedback means fewer defects are found in deployed products.
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• Cost reduction: The cost of development can skyrocket unexpectedly if errors are not monitored and resolved timeously. As fewer defects are found within products, there will be a reduction in the back-and-forth between the client and their developers, leading to the costs of development being significantly reduced.
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• Improved quality: Using CPI is one way of ensuring that the quality of the product is improved. The quality assurance process via the back-and-forth of process improvement results in better products with fewer errors. Ultimately, user experience is more pleasant leading to greater customer satisfaction.
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• Faster deployment: One major benefit of CPI is that any updates or upgrades to products can be deployed quickly, while being able to respond to industry changes more efficiently. Automated testing helps to make sure testing is constant and meticulously done. 
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• Better compliance: With continuous testing comes increased employee engagement and collaboration. As the development team becomes aligned to the software improvement process and overall organisational goals, it creates a culture of success and improved morale leading to better compliance.

CPI is a critical element of any software developer team, creating high quality products that stand the test of time while optimising business processes and achieving its goals. Standardisation is thus necessary in terms of implementation best practices.

Each improvement process needs to be thorough to maximise output and returns on investment. At Digital Grind, it's a part of who we are, as CPI and maintenance are implemented in our development projects. 

We strive to ensure that your brand receives quality outputs that are adaptable and enhanced on an ongoing basis according to evolving needs. Start a development project with us. Our team is always ready to listen.

From self-driving cars to the rise of chatbots, we’re seeing a rapid acceleration in artificial intelligence and machine learning — and it’s changing the marketing world. 

Tech research firm, Gartner, predicts that by 2020, AI will be a $3.9 trillion business. Businesses need to prepare for this inevitability by taking action and capitalising on the opportunities artificial intelligence can bring to their business.

Preparing for the future

When it comes to the future of marketing, opinions are divided. Some experts believe that AI will change the way we live for the better and boost our economy. Others see it as a potential threat to humankind and we can understand why, at a cursory glance. 

Artificial intelligence is getting smarter. It’s approaching the same level of intelligence as human beings, and there’s no question that it will continue to become more relevant as we find new use cases for it in a digital world. 

As it does so, it will continue to have an impact on many aspects of our lives, including on the way we market our businesses and how we interact with brands as consumers. But in a best case scenario, this intelligence will be used to heighten human potential rather than cannibalise it. 

Why is it taking so long?

AI has been a hot topic for years, but it’s only recently become widely accessible and affordable enough to be utilised in business applications as a standard. What’s more, advancements in machine learning technologies and the rise of big data have fueled interest and sparked new research into AI’s potential for democratising access to opportunities and unifying the world with technology. Let’s get down to what it is at its core and why it’s so relevant to us as modern marketers. 

1. What is artificial intelligence?

Artificial intelligence (AI) is the intelligence exhibited by machines. In computer science, an ideal "intelligent" machine is a flexible rational agent that perceives its environment and takes actions that maximise its chance of success at some goal.

We’re already seeing a number of applications for this in the marketing and comms world - particularly in the social listening and monitoring space. This is, in part, why marketing has changed so much over the last 5 years. 

2. Why it’s crucial to your new marketing strategy

Marketing comprises a range of activities that are typically focused around understanding consumers and their interests in a modern context. By simulating or supplementing human intelligence, we have a range of benefits available to us on both sides of the messaging fence. 

• Streamline resources. Internally, AI can support businesses in their process goals. Think of a SlackBot for example that provides useful tidbits of information or reminders to the team. Similarly, word prompts and email suggestions can take some of the mental work out of completing tasks.
  
  
• Target content to specific audiences. AI allows you to get information about individual customers and prospects so that you can then tailor marketing campaigns to them. This is a lot more effective than generic marketing campaigns. So, for example, if you want to know what your consumers are saying online or how they behave, AI can help scan trillions of data points to collate a profile for you - making quick work of building personas or targeting specific demographics.
  
  
• Interact with less manpower. Artificial intelligence can communicate with your consumers on your behalf. And, with the help of machine learning, it can change its behaviour to accommodate their interests and needs. Automated responses can be a useful tool when customers message you on social media platforms. Improved interactive voice systems also hold some efficacy when it comes to supplementing manpower.
  
  
• Delight and engage automatically. While AI technology is still relatively new to consumers, it still has the power to delight them, even in simple applications. Acknowledging their DM with an automated message, can be a powerful way to increase your response time and offer them useful resources for what to do next.
  
  
• Prepare for future advancements in technology. As technology advances, the possibilities for marketing automation become endless. Artificial intelligence can help take a lot of the manual work out of marketing and allow you to focus on the creative aspects of your work. However, there’s another important aspect at play. Brands that want to succeed beyond web 4.0 need to have the infrastructure, skill and understanding to operate in a hybrid world of virtual, artificial and physical environments. 

3.. How to use it effectively in your business

• Use it to intimately know your audiences through media monitoring and social listening
• Integrate AI into new brand activations and media campaigns
• Automate engagement through chatbots and profile growers
• Activate your brand with creative concepts that incorporate new technologies. 
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All told, AI is no longer a far-off concept that may or may not impact our realities in the near future. It’s very much here in familiar interfaces and chat applications that people encounter on a daily basis. Even companies like Google have incorporated it into their document creation, suggesting words and helpful tools when users start to write. However, as the capability and access grows, so does the scope of opportunity to use this technology in more exciting and novel ways. 
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Don’t get left behind

Speak to us about your next AI project or how you can incorporate it into your existing marketing campaigns.