In this session, the Pi School of AI Fellows tackled four challenges to harness the business potential of Artificial Intelligence. They aided a crowdfunding company in unlocking the value of their proprietary database, a multimedia management software company in accessing and managing massive photo archives, a quaint bed&breakfast in automating and optimizing the hotel reservation process, and an educational institution in developing an always-on virtual tutor for personalized teaching. Fellows harnessed the capabilities of Machine Learning, Natural Language Processing, and Large Language Models to improve business outcomes, enhance performance, and gain a distinct competitive advantage.
Mamacrowd is Italy's top equity crowdfunding platform, aimed at aiding startups, SMEs, and real estate ventures in accessing capital markets. Now expanding its horizons into the AI sector, Mamacrowd sponsored a Challenge focused on uncovering business value within its extensive proprietary database. Fellows Rui Guo, Omar Ghetti, and Ivan Gentile utilized unsupervised machine learning techniques to conduct statistical analysis and identify relevant business use cases.
Rui Guo, Omar Ghetti, Ivan Gentile.
Little Genius International School (LGI) a private K-12 institution in Italy, teaches children in English, French, and Italian and embraces an innovative pedagogical method known as ICE. However, imparting a one-size-fits-all approach can impede learning, as each child learns uniquely. To address this, Fellows Ishan Rattan and Akash Ganesh employed Large Language Models (LLMs) to create always-on virtual tutors. These tutors provide children with clear, step-by-step explanations tailored to their individual learning preferences.
Ishan Rattan, Akash Ganesh.
MomaPIX is a Digital Asset Management (DMA) software marketed as a service (SaaS) that enables archiving, indexing, searching, and downloading of multimedia files. They partnered with Pi School on a Challenge that involves using natural language to access their massive photo archives. Fellows Shadman Rohan and Pritesh Kumar Verma developed a Natural Language Processing (NLP) and Large Language Model (LLM) powered system that solves this problem effectively.
Pritesh Kumar Verma, Rohan Shadman.
Agriturismo La Filanda located on Lake Garda, receives dozens of booking emails daily. However, they would like to increase their business revenues by developing a tool that optimizes the farmhouse calendar and the likelihood of customers booking a room. Fellows Ramani Tyagi and Nisarg Patel developed a simple yet effective solution that can aid the owners in maximizing customer satisfaction while experiencing an increase in revenue.