Currently advisory innovation designer at IBM and focused on implementing AI - powered digial experiences for major enterprises and public institutions.
Our paper on the Djinn project is out! ♡
The paper will be published by Springer and presented at the 2024AIGA conference next december in Cambridge, UK.
My contribution delves into the role of Trust as a driver of adoption of AI applications and details out the design choices and thinking behind the new application.
How to begin an AI project
At the "Put AI to Work" event organized by IBM in Copenhagen in May 2024, I hosted a session focused on AI implementation, particularly addressing the complexities of value quantification and AI ROI.
AI implementation is increasingly critical for enterprises, as it is essential to provide investors with a clear understanding of the potential value derived from AI initiatives. This includes both tangible and intangible benefits, alongside implementation and uncertainty costs. During my presentation, I analyzed various uncertainty factors that can affect AI value estimates, drawing on recent industry and academic research.
Alongside my colleague Wanmeng He, we discussed two approaches to AI projects: experimentation versus exploitation. We elaborated on the necessary skill sets and resources required for successful AI implementation, focusing on the people, technology, and processes involved.
Polaris Media
Watch Lars Giske, Halvor Brandon and myself explaining how iTrømso newsroom applied IBM AI solutios and enable new efficiencies, droving business results at scale and contributing to the mission of better investigative journalism.
What a user and data problem has to do with a 20% decline in lending to SMEs in the UK.
A newly published report by a UK´s SME Finance Taskforce highlighted how over the past decde, lending to SMEs has declined by 20% in real terms. This equals a estimated funding gap of £22billion.
"Some of that (problem) is because the data being held around these companies has become extremely complex" for financial institutions to confidently evaluate lending opportunities and promptly establish companies´ eligibility - explains Charlotte Crosswell, chair of the task force, speaking at BBCRadio4 Today´s programme, on August 1st.
And as a result, sometimes lending is not offered to those companies who desperately need it. Also companies often give up on expanding their business, hiring the next person or acting upon opportunities for modernising and innovating their operations.
These are the kind of business problems that we should talk about when we talk about AI. Data accessibility, prompt information retrieval, manual processes that slow businesses down. If anything, the UK case proves how huge are social and financial costs of business as asual. It reminds us how pertinent are the notions of AI, trusted data and information access and findability - regardless how abruptly the narrative surrounding AI can change on Wall Street.
