Machine Learning (ML) and Artificial Intelligence (AI) involve using data and algorithms to build models that enable computers to perform tasks without explicit human instructions. ML focuses on creating systems that learn from data and improve over time, while AI encompasses broader capabilities like decision-making, natural language understanding, and automation.
These skills are crucial in developing applications such as predictive analytics, fraud detection, automated trading, and customer service automation.
Why It Matters: ML and AI are essential in finance for automating processes, improving accuracy, and delivering data-driven insights that enhance decision-making.
Data scientists focus on turning raw data into useful information. Their role involves handling vast, often unstructured datasets to uncover… read more
Software development / engineering is all about designing, developing and maintaining digital tools. This can be anything from a mobile… read more
Marketing Data Analysts collect and analyse data related to customer behaviours, market trends, and financial product performance. They use this… read more
Whether you’re just starting out, or as you develop further in your career, it’s very important that you continue to learn and develop your skills. Developing knowledge and skills will help boost your confidence, pursue new opportunities and have an exciting and rewarding career journey.
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