دانلود کتاب مدل سازی ریسک – کاربردهای عملی هوش مصنوعی، یادگیری ماشینی و یادگیری عمیق

It is said that we are entering the fifth industrial revolution: the age of artificial intelligence. The ability of computers to start performing human tasks (called artificial intelligence, AI) and the wider use of complex algorithms that detect nonlinear relationships and self-learn (called machine learning) are starting to mature from experimentation to production and, in turn, revolutionizing many aspects of the financial services industry. The uptake of these technologies for process automation and in digital customer journeys is growing exponentially in many industries, yet we are observing a more conservative and slower uptake in financial risk management. In an era where so much information is available on the use of AI and machine learning, financial organizations are cautious about its pertinence in regulated areas that expect compliance and transparency in decision-making. At the same time, the digital revolution is occurring against a backdrop of an increasingly uncertain world. Volatility is at an all-time high. The risk management function is contending with new types of risks every day. Organizations around the world are dealing with myriad risks such as a haphazard recovery from the COVID-19 pandemic, rising inflation, cumulating geopolitical risks, and the impacts of climate change.