Expanding Access To Technology By Democratizing Access To AI-Powered Software

Expanding Access To Technology By Democratizing Access To AI-Powered Software

Sachin Dev Duggal is a serial entrepreneur who created Builder.ai to make building software as easy as ordering pizza.

Since the first computer was created in the mid-20th century and Apple’s first iPhone debuted in 2007, technology and the software development that comes along with it has revolutionized our world and daily life. The challenges of the global pandemic have accelerated the need for technology solutions at a pace most of us have never seen before.

If there’s one thing the pandemic taught businesses, it’s that they need to ensure they have the systems and software in place to be agile and ready to survive and thrive in what’s to come—no matter what that is. But the current software development process is broken. Almost 8 in 10 software development projects fail.

Software is being developed across a vast range of sectors that includes artificial intelligence (AI). A common misconception is that companies using AI are investing heavily in leading data specialists and developers. The reality is far different. This is where democratization comes in.

It’s the idea that everyone can and should have access to software and AI-powered systems. Low-code/no-code platforms enable businesses with limited or even no technical knowledge to create custom software more efficiently and accurately, all at a more affordable price. Now, the future of technology is in intelligence.

AI has already become a main driver of emerging technologies, from big data to robotics and IoT. AI is now transforming the software development space itself and making it easier for businesses of all sizes.

Help With Strategy And Decision-Making

From the development stage, which features are included in an initial app or update release can seriously affect purchasing decisions and, in turn, business results. AI can work to streamline strategy powered by the collective insight of all interactions (e.g., running simulations when choosing features to get a better idea of customer wants/needs based on feedback derived from online conversations).

AI and predictive tech can help with make-or-break aspects of development, like budget and deadlines, too. It can more accurately project costs and production timelines by analyzing full data sets more finely, taking past project results and combining them with potential feature sets.

Streamline Maintenance And Coding

Any software developer knows that countless maintenance hours and dollars are spent on managing redundant features on the backend. AI can uncover data across various sources to spot these redundancies, which simplifies ongoing maintenance while saving time and limiting spending.

AI can predict the code that a developer is going to write, which can cut down keystrokes by 50%. Reusing code through AI can save businesses a significant amount of time and money. AI is taking testing to the next level in terms of both accuracy and speed, catching most errors before software goes to the test phase. By running more variable tests, issues that could occur when programs are fully operational are more likely to be caught.

Project Management

Many software projects are scrapped before they ever see the light of day because user demands are not being met. Development platforms are under pressure due to high demand and a shortage of competent developers. The process of gathering, tracking and validating what users need is labor-intensive. With AI, developers don’t need to sift through code. AI can help showcase user behaviors and needs, making it easier for developers to fulfill those needs.

When the pandemic hit in 2020, many smaller businesses without a robust digital strategy found out the hard way how vulnerable they were in a disruptive environment. Today, even two years later, stretched-thin SMBs are struggling to adapt. Fortunately, they’ve been presented with an opportunity to rethink how they do business. Having a thoughtful digital presence is critical. Low-code/no-code machine learning platforms, powered by AI, enable non-experts to create applications with predefined components and programming, making it easier than ever for them to access and harness the power of AI and all its related solutions.


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https://www.forbes.com/sites/forbestechcouncil/2022/09/15/expanding-access-to-technology-by-democratizing-access-to-ai-powered-software/

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