LLMs Alone Do Not Solve Business Problems

Marinela Profi, Global AI & GenAI Lead at SAS, discusses the critical factors differentiating organizations that succeed with generative AI. She explores why LLMs alone are insufficient and highlights key principles and successful use cases. The talk covers challenges in data readiness, the importance of NLP techniques for data curation and filtering, and the strategic use of synthetic data for augmenting datasets and improving model performance. Profi also addresses vendor lock-in, technical debt, and the necessity of robust governance and risk management frameworks for successful AI implementation. Finally, she emphasizes the importance of inclusive adoption of generative AI, particularly encouraging women to engage with these technologies.