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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 have revolutionized our world and daily life.
And the challenges of the global pandemic and its aftermath have accelerated the need for these technology solutions at a pace never seen before.
While the need is increasing, software development has become enormously challenging; in some respects, we are at the extent of the cottage industry architecture it has been built on. The Great Resignation has hit this industry hard.
For example, in India — a primary source of the world’s tech talent — attrition rates rose above 30% in 2021 while wages surged more than 50%. Simultaneously, the war in Ukraine has essentially cut off 450,000 workers in Russia and Belarus from western economies.
Event
Transform 2023
Join us in San Francisco on July 11-12, where top executives will share how they have integrated and optimized AI investments for success and avoided common pitfalls.
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So where do we go from here?
Adaptable systems and processes
This accelerating pace of technology coupled with major socio-economic and political shifts are dictating that we not only build differently, but also build with intelligence. We need more systems and processes that can adapt, learn and apply these learnings to address the changing needs of businesses and consumers — and not just today but tomorrow.
Artificial Intelligence (AI) has already become a main driver of emerging technologies, from big data to robotics and IoT. Based on user history, experiences and current usage pattern displays, 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 huge amounts of data and processes without the need for heavy human intervention. And as more intelligence is built, AI cannot only drive enhanced results, but predict and plan for future implementation.
Today, AI is further transforming the software development space and making it easier for businesses of all sizes to simply build. Thus, AI opens more opportunities for both small businesses and enterprises to develop software more quickly and …