Importance and Priorities of Skill Development
August 18, 2025
Computer Application Information and Research Institute
Innovations in the field of artificial intelligence continue to shape the future of humanity across nearly every industry. AI is already the main driver of emerging technologies like big data, robotics and IoT, and generative AI has further expanded
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Data science is an interdisciplinary field combining mathematical and statistical methods and other disciplines like specialized programming, advanced analytics, artificial intelligence (AI), and machine learning to derive meaningful insights from an organization's data.
Data science has an all-pervading role in
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Databricks provides the foundational infrastructure needed for successful AI adoption. It offers tools that simplify data management and accelerate AI model development, such as:
Before any product development, user research is paramount, but it is a time-consuming and rigorous process a designer has to go through. But thanks to AI, user research has become much easier than before. It can process data quickly and provide valuable insights
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AI is driving the UI/UX design industry rapidly. AI can be leveraged to automate repetitive tasks, get a design recommendation, use AI-powered analytics to get data-driven insights, create multiple prototypes within a few hours, and even test them. AI in UX design is
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Intelligent automation is software technology that incorporates AI and ML to automate complex workflows. It can be perceived as an extension of the traditional RPA, geared to broaden its capabilities. In the past, RPA was used to automate relatively straightforward, repetitive tasks such
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