The business value of machine learning, artificial intelligence and data analytics has long been underestimated in the financial sector. However, this technology can help banks to identify real customer needs and develop personalised products and services. Particularly in a challenging environment marked by fiercer competition and shrinking margins, machine learning will give rise to new competitive advantages that offer real added value for the customer.
In this challenging environment characterised by new technologies, data-driven and predictive banking, financial services providers need a well-matched sparring partner to help them make the right strategic decisions. Zühlke will accompany you along this road and help you set the right priorities, adding real value to your business.
Business Development Director, Financial Services
Zühlke is assisting Vontobel with the development of the first Swiss digital tool for active asset management, from platform to app.
With their online portal “Hypoplace”, HypothekenBörse AG is setting the new standard for the customer experience: For the first time, mortgage holders
With help from Zühlke, Bank Julius Bär has developed a tool for customer advisors that improves efficiency and consultancy quality.
14 November 2019
Robo-advisors, AI, big data: well-known buzzwords we are hearing again and again. Digitization has arrived with full force in banking – and is providing financial service providers with fundamental...
11 November 2019
An optimal digital front portal summarises all products, services and information for each customer group in a needs-based and process-oriented way, and can be accessed anywhere at any time. Custom...