Mae'r cynnwys hwn ar gael yn Saesneg yn unig.
20 years of industry experience as an analytics professional have taught me that while underlying enabling analytical technologies have grown exponentially complex and capable, as business leaders we have not kept pace with respect to our decision making abilities.
In 2022, what should be smarter, more accurate data driven decisions using analytical systems, AI & ML, and leading to measurably beneficial outcomes in organizations, far too often fall back on razor-thin business cases fueled by superficial analysis, a host of assumptions and a great deal of organizational impatience.
These observations form the basis of my research into organizational decision making which started at Cambridge University (examining strategic decision making by international organizations) and continues now at Cardiff University (researching adoption and use of AI/ML in Financial Services), hand in hand with a 20+ year career as a Technology Entrepreneur and a Product-Analytics Consultant and Executive in large and small public and private companies globally.
A sincere belief in the human mind and its capacity to learn, to improve and to make better decisions coupled with the right technology drives this research. If this is of interest to you, please reach out and let's have a chat.
- Technology Adoption & Use - In general and specifically within Financial Services
- AI/ML Adoption Readiness within Financial Services
- Quantification of Technology Impact on Organizational Performance - within Financial Services
- Prioritization of investments and go to market sales activities