Unlocking Success: How Artificial Intelligence is Revolutionizing IT and Business
Published on: March 10, 2024
Artificial intelligence (AI) is increasingly recognized as a powerful tool for boosting productivity among developers. Its influence extends beyond mere efficiency, reshaping career aspirations and opening opportunities for IT professionals to take on more expansive roles in business. Preeti Lobo, practice director at Apps Associates, notes that IT professionals are now expected to adapt to various new responsibilities as AI tools facilitate code generation in multiple languages, enhancing productivity.
A recent survey by Sourcegraph reveals that 95% of developers use generative AI tools like Copilot and ChatGPT. Despite these productivity gains, these advancements raise questions about the complexity of technology professionals' roles in an age of increased automation. The need to manage and ensure the cohesion, accountability, and security of AI-generated code signals new roles and responsibilities for developers.
As AI automates code generation, ensuring code security and quality assurance remains a critical task. AI can accelerate coding, but the generated code often requires further analysis to identify and fix vulnerabilities. Moreover, the ease of generating code via AI contributes to an expanding codebase, adding to the challenge of managing code sprawl and technical debt.
The rise of AI in coding not only demands heightened security and management but also necessitates a shift toward design thinking among IT professionals. Enhanced focus on design can improve developers' ability to communicate AI insights and redesign processes for better human-technology interaction. As AI personalizes application development, developers need to consider user-centric designs.
Despite AI's ability to generate code, human intervention remains crucial for quality assurance and ensuring business alignment. New roles like ethical AI trainers, machine language engineers, data scientists, AI strategists, and consultants are emerging. IT professionals are increasingly involved in creating AI strategic roadmaps and identifying data anomalies.
The demand for natural language processing (NLP) skills is growing, with professionals encouraged to master programming languages and libraries while honing analytical and problem-solving skills. Moreover, technology professionals are assuming roles in coaching and supporting broader app development and deployment, expanding the art of the possible in business improvement.
Generative AI also assists in improving the productivity of technology workers, especially in maintenance, support, incident response, and customer service. It enables personalized service and automation of routine tasks, allowing technology teams to focus on more complex challenges.