As discussion about AI and its risks is getting heated in the society, eWEning star provides a positive example how to use AI in energy transition towards sustainable future. eWEning star is impact-driven company, developing personalised and automated information discovery tool for professionals in the energy sector. By utilising ChatGPT and content expertise of humans, we provide an example of an application, which combines the best sides of both sides, automates the information discovery processes and transforms information to knowledge.
By integrating automated data scraping components with state-of-the-art LLM-based content classifiers, we showcase a product prototype that combines best of the both worlds: tapping the knowledge-base of the domain experts and utilizing AI. In this way, our product not only automates the information discovery process, but also adds a personalized dimension in the user experience, and transforms scattered information into tangible knowledge.
Nina Vielen-Kallio is sustainability advisor in the wind energy sector, specialised on Circular Strategies. She’s actively working together with industry, policy makers and knowledge institutes on accelerating energy transition and transforming society from linear to circular economy.
Saikat Chatterjee is Machine Learning (ML) Engineer/ Data Scientist – with a keen interest in Entrepreneurship, and Environmental and Social Sustainability. He is developing diverse Alt Data-driven, production-scale, innovative applications over the last ~5 years, that have served the best product/market fit – particularly addressing a number of critical societal & scientific use-cases.