AI will be a game changer in the financial industry
Thanks to artificial intelligence, the financial industry is facing the most productive decade since the replacement of the typewriter. With the new CAS AI in Finance HWZ degree program focused on the financial sector, the HWZ Zurich School of Business enables specialists and managers to smartly and efficiently tap into the diverse potential of AI in combination with traditional approaches. Participants in the course are thus equipped to play an active role in shaping the transformation process towards 'AI-first or AI-driven finance'.
The CAS AI in Finance HWZ, which is new in its industry focus, is aimed at knowledge workers and managers from banking and insurance who want to expand their professional skills in a methodical and well-founded manner. The course provides the necessary tools to enable AI to make data-driven analyses, customer-relevant innovation and process automation even more efficient and scalable in all areas of the financial industry. "Our AI training is structured as a modular step-by-step concept: From the CAS to the Master's degree (MAS) in Digital Excellence HWZ, participants shape their own career path in the financial industry," emphasizes Patrick Comboeuf, Head of the CAS AI in Finance HWZ program.
Aims of the CAS AI in Finance
The CAS AI in Finance HWZ program aims to provide participants with comprehensive skills and knowledge in the field of artificial intelligence in the financial industry. Graduates of the programme are familiar with the current challenges arising from the AI transformation of the banking and insurance industry and are able to productively internalize the implications for the skills profile and understanding of the role of the AI leader or AI business partner in their organization.
An essential part of the course is the development of a robust AI roadmap and use case frameworks for selected business areas. Participants identify and analyze potentials and assess the benefits and opportunities of generative & classic AI, data analytics, prompt engineering, retrieval augmented generation (RAG) and process automation/robotics for their company. They recognize the challenges but also the limitations in the area of data gathering and data mining, for which they develop practice-oriented solutions. They will also be able to assess key decisions such as cloud vs. on-prem infrastructures or application areas relating to quantum computing from different perspectives.
In an intensive seminar, you will learn how to apply current tools and methods of no/low-code programming / Python or "Advanced Data Analytics" in concrete situations. Another focus is on the visualization of data in the form of cockpits or dashboards and the integration of this data into an appealing story ("storytelling").
Graduates of this CAS become indispensable bridge builders between business and technology in their company and make a decisive value contribution to scalable AI mobilization in the financial sector with their data and methodological expertise. The 16-day programme teaches basic interrelationships and practical application skills in the field of AI for all organizations in the financial industry. In four modules, participants receive a contemporary compass to help them find their way in an increasingly AI-driven financial world and take on an active leadership role.
Source: www.fh-hwz.ch
