In her keynote address on the second day of Data2Day 2023, Miriam Bressan presented “The importance of OpenGL for data science and artificial intelligence“As the leader of solution architecture teams at Red Hat, she works every day to bridge the gap between technical innovation and strategic business goals. In her talk, she reveals the critical role played by the four cornerstones of open source, open models, open data and open mindset play a role.
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Data2Day 2024, on September 18 and 19is a conference for data scientists, data engineers, and data teams. It focuses on different things Data Architecture How else Data Mesh & Co. Prove yourself in practice. In several lectures, experts will examine the question of which new approaches will prevail Large Language Models (LLM), Generative AI and Knowledge Graphs For the work of data scientists.
According to Bressan, openness is the key prerequisite for the dynamic, collaborative development and rise of artificial intelligence (AI) and data science. Open source, open models, open data and an open mindset work together to promote democratisation, transparency and innovation in the development and use of AI and data science. While high-quality, open data primarily ensures fairness and inclusiveness, it also helps lower the barrier to entry for research, start-ups and the public sector. With open models, the building blocks for versatile AI applications are available in efficient and highly developed systems – which saves time and resources, Bressan emphasised.
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Miriam Bressan – The importance of OpenGL for data science and artificial intelligence
(Image: Miriam Bressan)
Miriam Bressan
As a recognized thought leader, she is a strong proponent of bridging the gap between technical innovation and strategic business goals. She currently leads the Solution Architecture team at Red Hat, where she is committed to driving customer success and innovation – always guided by the principles of openness, collaboration, and sustainability.
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