Artificial Intelligence will be underlying many [future] solutions for our clients; thus, we as consultants need to have in-depth knowledge on concepts and architectures to give advice on how to adopt AI in banking, insurance and at their service providers.
I am Benjamin, 48 years old, and living and working in Switzerland. I am the co-owner of a boutique consulting firm, advising clients in the financial services industry on information and tehcnology management, and am also chairman of the broad of Itopia AG.
I hold a BSc in Engineering (Telecommunications); an Executive MBA in General Management from Simon School, the University of Rochester; and a Diploma of Advanced Studies in Banking from the University of Berne.
Artificial intelligence (AI) will be underlying many [future] solutions for our clients; thus, we as consultants need to have in-depth knowledge on concepts and architectures to give advice on how to adopt AI in banking, insurance and at their service providers.
Itopia also has a strong foothold in data modelling, and data engineering for financial institutions. We are interested in designing, acquiring, managing, and provisioning data to maximise value when used in AI-assisted applications.
AI will impact our management consulting practice as well; so the programme will also help to identify emerging opportunities and challenges caused by AI.
My business and family situation do not allow me to go abroad or attend a full-time programme.
The University of Liverpool Online offers an ideal combination of breadth/depth for a management/technology consultant. There is no pure focus on management concepts, nor a narrow focus on ML/DL only, but AI in general. The programme is ractically oriented and technically sound.
There is a good pace [and it has been] a good start with the ‘General Trends in Computer Science’ module. There is an interesting selection of students with varying experience/backgrounds, and I am learning a lot from the cohort as well. There is a good balance across types of assignments – such as individual and group assessments, discussion forums, and essay writing – strong support from lecturers, and useful feedback on assignments.
The technology is reliable and helpful; I regularly use the virtual learning environment(VLE), Microsoft Teams and all other tools like EndNote for managing references.
15-20 hours of study per week seems the right investment, assuming (a) a good foundation and (b) focusing on the ‘must-do’ parts. If someone lacks a programming background, has the ambition to get very high grades, and wants to read/watch all additional materials, then more time may be required.
All modules are equally important for my work, with the exception of robotics.
Looking forward to the dissertation!
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