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Machine learning engineers are among the most sought-after professionals in the data analytics and AI space today. But behind the buzzwords and job titles lies a role that requires data literacy and a range of skills in statistics, software deployment, critical thinking and ethical judgement. If you're wondering what this
If you have a background in pharmacy, life sciences, biotechnology, or statistics – and you’re curious about the world of clinical research – there’s one career path you might want to explore: clinical SAS programming. Maybe you’ve heard the term before and wondered what it really involves. The good news?
The financial services industry is undergoing a period of profound change, driven by a dynamic economic landscape, increased regulatory scrutiny, changing consumer behavior and rapid technological advances. Banks operating in this environment are under increasing pressure to transform their risk modeling and decision-making ecosystems in order to remain competitive. This
What insurance companies need to know about the Fundamental Rights Impact Assessment (FRIA) The EU Artificial Intelligence Act (EU AI Act) is ushering in a new era of accountability and transparency for organizations deploying AI systems – particularly in high-impact sectors like insurance. The Fundamental Rights Impact Assessment (FRIA) is
The financial industry is evolving at an unprecedented pace. Regulatory frameworks are becoming more complex, customer expectations are shifting and financial risks are emerging in new and unexpected ways. Because of this, relying on outdated risk management systems is no longer sustainable. Banks must adopt data-driven strategies to remain competitive
Als Marketer haben Sie wahrscheinlich schon von MadTech gehört. Falls nicht, ist das kein Problem – es ist nie zu spät, um einzusteigen. Sehen wir uns also an, worum es sich bei MadTech genau handelt, warum es wichtig ist, die Hintergründe und drei Tipps, wie Sie sich in einer von