Marinela Profi is the Global AI & GenAI Lead at SAS. Leveraging her extensive background in data science, Marinela brings a unique perspective that bridges the realms of technology and marketing. She drives AI implementation within Banking, Manufacturing, Insurance, Government and Energy sectors. Marinela has a Bachelor’s in Econometrics, a Master of Science in Statistics and Machine Learning and Master’s in Business Administration (MBA). She enjoys sharing her journey on LinkedIn, and on the main stage, to help those interested in a career in data and tech.
Most people associate generative AI (GenAI) with large language models (LLMs). While LLMs focus specifically on generating text, GenAI encompasses a wider range of content generation tasks beyond just language, including images, music and more. Broadly speaking, GenAI uses machine learning algorithms to analyze and learn from existing data sets
Large language models (LLMs) are at the forefront of today’s AI, not merely as technological marvels but as transformative agents reshaping how businesses innovate, operate and deliver value. Think of them as the wizards of words, capable of understanding language and transforming it in ways that benefit organizations. However, as
SAS' Marinela Profi and Sophia Rowland elaborate on IDC including SAS among the leading platform providers for Machine Learning Operations.
