The widening data science talent gap is expected to be addressed by 2026 through a combination of upskilling, industry-education partnerships, and AI-driven automation.
Organizations have started investing in existing employees by providing targeted training to enhance data science skills internally.
Educational institutions are collaborating closely with industry partners to align curricula with practical industry requirements.
AI tools are being increasingly used to automate mundane data tasks, allowing human experts to focus on more complex and strategic aspects of data science.