Darko Matovski is an AI scientist turned tech entrepreneur, pioneering a future where everyone can access their own data science team. Through causaLens, he is developing trusted AI agents for data science that collaborate with humans and enable AI-powered decision-making for all.
Rather using AI investment to help people work faster, organizations must find the workflows AI can run and create governance frameworks to make them safe.
数据的快速增长超过了现有的人工智能人才的数量，这使小型组织在有效利用AI方面遇到了重大障碍。人工智能数据科学代理能够自动化数据处理和因果分析，为人工智能的普及化和赋能资源匮乏领域提供了一个颇有前景的解决方案。
AI data scientists automate data processing, making advanced analytics accessible to all organizations – driving innovation, efficiency and actionable insights.
Where genAI relies on recognizing correlations and patterns in events, causal AI is rooted in a deeper understanding of the cause and the effects behind them.
Black box approaches to AI, including large language models and other generative techniques, are unlikely to comply with regulations for many uses. Causal AI offers a solution.
