Data science continues to evolve at a fast pace, with the integration of traditional analytics, machine learning, generative AI, and agentic AI in organizations. For professionals, it is moving beyond building models to deployment, AI engineering, data infrastructure, and business problem solving.
Worldwide spending on AI platforms for data science and machine learning is expected to hit $26.4 billion in 2026, as per Gartner's recent forecast. The long-term investment suggests that AI is becoming a more integral part of the business and media landscape, with data and machine learning capabilities playing a crucial role in its development and application.
Meanwhile, it is observed that the data scientist portfolio is evolving from experimentation to operationalization of apps and deployment of models, and that data scientists have to build up expertise in machine learning, deep learning, and generative AI.
Continuous upskilling is crucial for professionals who are planning their career. USDSI® Data Science Certification empowers learners to enhance their understanding of data science and acquire relevant skills to prepare them for an AI-driven workplace.
Read the Data Science Career Factsheet 2027 and Beyond to discover the trending careers, salary, and the skills driving the next generation of data practitioners.
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