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Raluca Crisan – CTO @ etiq.ai

Data science requires a different type of copilot than software development. But current tools are not fit for purpose. How can you use AI-assisted development to expedite your work, produce better models and more production-ready pipelines?

ai-assisted development data science tooling
How is tooling for Data Scientists evolving in the era of AI-assist development?
Raluca Crisan – CTO @ etiq.ai

Discussion on AI-assisted development for data science, tooling evolution, safety, fairness, and compliance in regulated industries. Examples draw from healthcare; references to open-source libraries and standards such as LangTest, HELM, NIST, CHAI, and ISO.

langtest helm nist chai iso
How is tooling for Data Scientists evolving in the era of AI-assist development?
Raluca Crisan – CTO @ etiq.ai

Raluca Crisan, CTO, etiq.ai — Coding assistants are not quite enough for Data science or ML work, they don’t quite solve the right kind of problems. However they are undeniably helpful. In this talk we explain how combining coding assistants and elements from MLOps can unlock immense potential value for the space.

AI/ML Data Science MLOps

In the world of investment, inflation indicators play a pivotal role in planning for the future. Hedge funds in particular must grapple with text-based signals that provide deep insight into the future of stocks and industries. This talk will showcase how a combination of natural language processing, semantic embeddings, and cutting-edge large language models, can help transform those signals into bankable success.

LLM NLP
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