How AI is driving the future of technology
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Since the first computer was built in the middle of the 20th century and Apple’s first iPhone debuted in 2007, technology and its accompanying software developments have revolutionized our world and daily lives.
And the global pandemic and subsequent challenges have increased the need for these technology solutions at a pace never seen before.
While the need is growing, software development has become exceedingly challenging; In some cases, we are at the extent of the cottage industry architecture it is built upon. The Great Resignation has hit the industry hard.
For example, in India – a primary source of the world’s tech talent – the attrition rate is set to exceed 30% in 2021, while salaries are expected to rise by more than 50%. Simultaneously, the war in Ukraine has essentially cut off 450,000 workers in Russia and Belarus from Western economies.
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So where do we go from here?
Adaptable Systems and Processes
This rapid pace of technology coupled with major socio-economic and political changes is dictating that we not only build differently, but also build smarter. We need more systems and processes that can adapt, learn and apply these learnings to meet the changing needs of businesses and consumers – not just today but tomorrow.
Artificial Intelligence (AI) has already become the main driver of emerging technologies ranging from Big Data to Robotics and IoT. Based on user history, experiences and current usage pattern display, AI can quickly and efficiently address the demands of multiple users and usages, based on learning principles and natural language processing (NLP) techniques.
This technology enables systems to access and deploy large amounts of data and processes without the need for heavy human intervention. And as more intelligence is built in, AI can not only produce better results, but can predict and plan for future implementation.
Today, AI is further changing the software development space and making it easier for businesses of all sizes to build seamlessly. Thus, AI opens up more opportunities for both small businesses and enterprises to develop software more quickly and efficiently, and ultimately grow and engage through intelligence.
intelligence and decision making
Intelligence is gathered and decision making is driven through an AI-powered assembly line. In much the same way a traditional assembly line works, technology advances can benefit from what came before.
This new assembly line learns from frequently used features to build more affordable software and applications at speed and scale. Coupled with human talent, software can be delivered at 6 times the speed and at one-quarter the cost.
AI’s functionality extends further into coding, a process in which even a missing parenthesis or semicolon can cause a serious error. AI systems can be trained to automatically detect these mistakes (and more serious ones!) and suggest replacements, saving hours of human time that would otherwise be spent debugging. These are hours humans could spend doing what we do best: thinking creatively about how to solve problems.
This reimagined assembly line has emerged as the most strategic way to automate development tasks that otherwise involve layers of human intervention and can have a huge impact on ROI.
intelligence and efficiency
Any software developer knows that countless maintenance hours and dollars are spent on managing unnecessary features on the backend. But AI can cross-reference data across multiple sources to identify these redundancies, streamlining ongoing maintenance while saving man hours and limiting expense.
For example, AI can predict the code a developer is about to write, which can reduce keystrokes by up to 70%. Code reuse through AI can save businesses significant time and money.
AI is taking testing to the next level, both in terms of accuracy and speed, catching most errors before software moves into the testing phase. By running more variable tests, the more likely it is to catch problems that may arise when the program is fully operational.
intelligence and human touch
Many software projects are scrapped before the light of day because user demands are not being met. Development platforms are under pressure due to high demand, rising costs, and a shortage of capable developers.
The process of gathering, tracking and validating what users need is labor intensive. With AI, developers don’t need to sift through pages of analytics and lines of code to become more effective. AI can help model user behavior and needs, making it easier for developers to meet those needs.
But the human touch remains essential. At the end of the day, machines are made to serve humanity’s intentions. AI’s ability to understand and translate human intent into software instructions is what will make the next generation of no-code software development a possible phenomenon.
With AI managing the vast swathes of repetitive and often mundane workstreams related to app development, humans can be free to create, innovate and problem-solve.
Sachin Dev Duggal is the CEO and cofounder of Builder.ai
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