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SmartData Collective > Software > 3 AI-Based Strategies to Develop Software in Uncertain Times
Software

3 AI-Based Strategies to Develop Software in Uncertain Times

Software developers need to take advantage of AI technology to stay afloat as the economy is likely to take a turn for the worse.

Sean Mallon
Last updated: 2023/01/30 at 10:22 PM
Sean Mallon
9 Min Read
ai in software development
Shutterstock Licensed Photo - 1926455249 | by Peshkova
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AI technology is becoming increasingly important for software developers. We talked about some of the ways software developers can create successful AI applications. However it is equally important to use existing AI tools strategically to improve the quality of the software app lications that you are trying to design.

Contents
AI Technology is Driving Major Changes in Software Development in an Uncertain Economy1.   Smart teams governed by AI2.   Mixed reality3.   Reliable cybersecurity teamAI Has Become Essential for Software Developers

AI Technology is Driving Major Changes in Software Development in an Uncertain Economy

As 2022 is slowly coming to an end, we can’t say this is precisely what we thought the business environment would look like five years ago. The coronavirus pandemic has left its consequences, and the war between Russia and Ukraine is still raging. Cryptocurrency prices have plummeted  — another clear indicator of turbulent times. A looming recession and the Great Resignation are other factors strongly impacting the landscape.

So, how can one create software with as little risk as possible?

Desperate times call for smart measures, which we’ve discussed and decided to present to you. The good news is that AI technology can make the process easier. Here are the three most important AI assets for software development.

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1.   Smart teams governed by AI

The chances of failing in software development are the smallest when a smart team stands behind the project. A smart team is a strong asset composed of experts who know their own role and do their best.

What makes a smart team so special that it’s vital for software development in uncertain times?

First of all, a smart team is a self-sufficient unit. A well-organized and well-led team can construct software and follow it through all stages of the software development cycle, keeping track of the results and reacting timely. With the right smart team, you’re more or less set for the entire production process.

Regarding the team member roles, you’ll probably need a good solution architect for starters. The architect will cover the gap between stakeholders and the tech part of your business, ensuring the investors and developers are on the same page. They also cover the money matters, i.e., set the budget for the software building. Needless to say, this is one of the crucial steps in the project.

While team leads are important for recognizing talent, supervision, preventing burnout, and providing support, among other things, “regular” team members are just as important too. You should always strive to set up a team of successful professionals with different cognitive backgrounds. That should ensure innovation when it comes to both creating software and resolving potential issues.

However, the organization of the team is not enough on its own. AI technology can help project managers monitor their team more effectively. They can see how their teams are interacting and whether certain members are missing deadlines or making consistent errors. As we stated in the past, AI-based employee monitoring technology can boost engagement and improve the quality of work.

In a nutshell, a smart team should lead you through all the hardships much better than unlimited access to funds.

2.   Mixed reality

In times of chaos, do you really have enough funds to build test models, organize accurate product testing with clients before you start selling, or spend time and money on fixing the potential issues that may or may not occur? Mixed reality tools can save you both time and money, as well as improve your overall business and help you beat the competition.

AI technology has made virtual reality more effective than ever. When used appropriately, it can significantly improve your overall ROI. The best way to use it is by modifying it to mixed reality.

A mixed reality experience gives you a mix of virtual and physical reality. For instance, you could test your software by allowing the end consumer to try it out in mixed reality. That way, they can spot the advantages and downsides, and you can get the precious feedback sooner than later — all without wasting money on placing the product on the market and advertising it.

This reality uses AI to provide a more personal experience, so it’s great for product testing, meetings, and conferences. A hologram experience is definitely more memorable than a simple laptop presentation. In addition, it opens doors to innovation as it encourages a person to have multiple points of view. Having a new perspective on familiar topics is definitely engaging.

As technology advances, the costs of mixed reality decrease, and it’s becoming more accessible to even the typical consumer. You should definitely lead in this respect instead of falling behind.

Mind you, your competition is already using AI-driven mixed reality for training purposes, quality assessment, hiring new software engineers, and many other uses. The mixed reality market will grow at a 77% CAGR by 2028. If you haven’t introduced it to your software development team, you’d better do it soon, or you may start lagging behind your competitors.

3.   Reliable cybersecurity team

What’s one of the things tough times have in common? Cyber attacks. So much so that even the US government has reacted with a warning.

The official announcement on CISA’s website clearly outlines the increased risks of cyber attacks. While Ukraine and Russia seem to be at a cyber war of their own, US businesses are also in danger of cyber incidents. CISA has officially recommended that all organizations, regardless of their size, prepare for cybersecurity breaches.

If your software is going to collect clients’ sensitive data (as it does in most cases), having a data leak scandal is the worst possible scenario in an unstable environment. At such times, people feel wary and are more prone to feeling panicky when their personal data is unveiled. As a result, your reputation may be gone for good.

Someone stealing your innovative software development information could break your business too. The environment is already as fast-paced as it is, so detrimental consequences come much faster.

With this in mind, your cybersecurity team will be your pillar of defense against a surge of malware and other digital hazards.

How do you create or improve your cybersecurity team? It’s an excellent time to get updated about the cybersecurity expert role. For instance, having a degree in cybersecurity isn’t necessary since most colleges only offer those as master’s studies. However, solid tech knowledge, experience with different tools, and good programming skills are a must.

We’re living in a constantly changing world that has transformed quite a bit in the last couple of years. Unfortunately, the major changes that affected the whole world are far from beneficial — they’ve made us think of going into survival mode rather than feeling thankful. Software development, like any other digital business, is especially submissive to economic changes. Hopefully, by focusing on the above software development advice, your software business should not just survive the troubling times but come out victorious.

AI technology is also invaluable for cybersecurity. We published an article two years ago on the ways AI is helping with cybersecurity and it has become even more important since.

AI Has Become Essential for Software Developers

A growing number of software developers are forced to utilize AI technology to improve their operations. They will need to rely on AI even more in the near future, since the economic outlook is far from positive.

TAGGED: ai in business, ai software, software development
Sean Mallon January 30, 2023
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By Sean Mallon
Sean is a freelance writer and big data expert. He loves to write on big data, analytics and predictive analytics.

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