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4 Key Software Development Trends for 2023




Software development has become an undeniably significant part of digital transformations, and many changes facilitate this. Research by Laato et al. notes that software development, both as an industry and a profession, has emphasized more on scalable and data-driven solutions.

This is made possible by integrating emerging technologies like automation, machine learning, and cloud computing. There is also the increasing convergence of IT and non-IT industries, as sectors like healthcare that are traditionally not software-intensive have shifted from manual to digitized processes.

All of these changes and drivers have implications for the key software development trends in the year 2023, from new programming tools and platforms to the growth of software companies.


1. Decline in demand for no or low-code platforms



Due to a shortage of coding talent and the need to democratize software development, no and low-code platforms have proliferated over the years. These democratized solutions that can be used for day-to-day operations include website builders like Wix, ecommerce platforms like SquareSpace, and design tools like Canva.

However, more and more developers are also starting to realize the limitations of no or low coding. There are unique security challenges that crop up when organizations adopt these easy-to-use platforms without explicit approval from IT, leading to the creation of unsafe applications and oversight in access controls. No and low-code platforms also have a narrow range of use cases, thereby affecting the flexibility and customization options for developers and business users.


2. Tools for speech recognition in web applications



Aside from improving the efficiency of organizations’ day-to-day operations, software development can also be harnessed to increase the usability and accessibility of applications. A previous look at the SpeechKit package for speech recognition and synthesis has shown that the JavaScript Web Speech API makes it possible for web apps to work with voice data.

Web Speech API simplifies the once-tedious task of coding voice-activated commands and text-to-speech interfaces. With other features, such as the ability to generate SSML from text, developers can also fine-tune the text-to-speech output attributes in terms of pitch, speed, volume, and more. This enhances and personalizes the overall user experience for web applications with speech recognition software.


3. Growth potential for software industry traffic



Despite the demand for software development in various industries, the software industry itself has been facing a decline in website traffic. As indicated by Search Engine Journal’s report on software industry traffic, worldwide monthly visits to the websites of top software companies in the US have decreased by more than 1 billion. Fortunately, despite the decline in numbers, the overall quality of website traffic has increased in terms of visit duration and the number of pages seen per visit.

To fully leverage this potential for growth, software companies have to tailor their digital marketing practices to suit consumer trends and customer journeys. Ayima states that integrating SEO and PPC strategies is a way to increase conversion rates and customer growth while still making significant cost savings. By merging data sources and using PPC data to see which SEO keywords are profitable and must be focused on, companies can optimize their content and investments in the areas that truly matter, therefore reducing wasted spend.


4. AI-assisted security testing



Software testing is a crucial part of the software development process, enabling developers to conduct performance tests and risk management. Among the software testing trends outlined by InfoQ, the emerging technology of artificial intelligence (AI) is particularly useful in security testing. Sophisticated AI algorithms can be deployed to detect cybersecurity threats like phishing attacks. By actively looking for anomalous patterns or behaviors in systems and access controls, AI can create real-time offensive capabilities against potential cyber-attacks.

With the growth of software development as an industry, there comes a set of unique challenges and opportunities, namely the emergence of new roles focused on digital marketing, data analytics, and AI. Nevertheless, it is up to software developers and the industry as a whole to be equipped for these changes so that they stay ahead in the global digital economy.

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Coding, Data Analytics, and Other Important Skills Every Professional Must Begin Upskilling in the Digital Era

As we push deeper into the digital era, recent surveys find that the skills shortage may become the largest obstacle to the widespread adoption of groundbreaking technologies like artificial intelligence (AI) or quantum computing.

Trish Blomfield, general manager of Intel, explains that it is thus important to start promoting accessibility in STEM learning in order to prevent this skills shortage. Thanks to the expansiveness of the digital era, opportunities for upskilling are available even for working professionals.

Want to take advantage of the tech boom, but unsure where to start? Here are the important digital skills every professional must focus on.

Coding


Understanding the principles of coding languages is critical as more of our daily functions involve technology. Businesses benefit from the ability to develop algorithms faster, allowing for the creation of applications and services that are easier for customers to use or consume.

The relevance of coding is reflected in the increased demand for computer science education. In fact, even accessible options like no-code and low-code platforms require coding knowledge. Recent trends also show that some employers forgo relevant bachelor’s degree requirements for roles that require coding knowledge. The global coding boot camp market size is thus expected to grow by $1.20 billion by 2026 thanks to its lower cost and shorter duration compared to formal education alternatives. Professionals looking to upskill can try training at short coding boot camps, often spearheaded by universities or corporate leaders.

Data Analytics


Data analytics is similarly critical to the success of modern businesses. That’s because today’s technology allows us to quantify in-depth insights into customers’ wants and preferences as data. The ability to analyze this in order to optimize performance will provide any professional with a competitive edge in their field.

Data analysts are thus highly sought after in various settings, from large corporations to small businesses. Becoming a business intelligence analyst to work with companies to understand market seasons is a popular choice among many Gen-Zs. Meanwhile, professionals already in the workforce can opt to take full degrees if looking for a total career shift: modern degrees in data science focus on skills like predictive modeling and machine learning to provide fresh business insights. The availability of online degrees makes this possible for working professionals who may have more flexible schedules.

Otherwise, professionals can start simple by upskilling with workshops on Python or SQL. These are also accessible online and equip any professional with the skills for handling data and dealing with errors.


Data Visualization



Beyond analyzing data, learning how to present these insights to a layperson is essential in order to bring the information to a broader audience. This requires an equal understanding of communication, visual design, and tech.

Fortunately, learning data visualization can be done without a data science or business analysis degree. Instead, professionals can look towards free software packages like Tableau or data visualization tools like Microsoft’s Power BI and Flourish that come at an economical price. These have accessible learning curves thanks to their optimized interfaces and a large community of data viz creators, which assures plenty of support online.

Soft Skills

The importance of communication is often overlooked in the digital age. In the earlier interview with Blomfield, technology advisor Bernard Marr stresses that soft skills like creativity and critical thinking are necessary to leverage technology to its full potential. Machines will not replicate these human skills in the near future, and it is important that professionals in every field upskill these fundamentals through self-reflection and online courses. By listening actively and taking on leadership roles, professionals will be able to pave the way in their respective industries.

It’s not too late to upskill, so start looking among the plethora of available resources online and offline. By focusing on the skills above, any professional can boost their career or enter new fields in the digital era.

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Open-source work is free to use but it is not free to develop. If you enjoy my content and would like to see more please consider becoming a sponsor on Github or Patreon! Not only do you support me but you are funding tech programs for at risk youth in Louisville, Kentucky.

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