Tecnologías emergentes
什么是“人工智能数据科学代理”，它如何弥合人工智能鸿沟？
到2025年，全球每年将产生175ZB的数据。如果中国长城上装满1TB的硬盘，那么产生的数据量相当于长城长度的1.5倍。然而，这种数据的爆炸式增长并未带来普遍进步。
Darko Matovski
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.
Últimos Artículos
Tecnologías emergentes
How we can bridge the AI divide with accessible AI data scientists
By 2025, the world will create 175 zettabytes of data annually, equivalent to one-and-a-half times the length of the Great Wall of China if the wall were filled with one terabyte hard dri...
Tecnologías emergentes
Causal AI: the revolution uncovering the ‘why’ of decision-making
Generative AI (genAI) has shown much promise and generated significant excitement across the technology world over the last 18 months. In particular, Large Language Models (LLMs) can enga...
Foro en foco
What is 'Causal AI' and why will it become increasingly important?
The UK government recently released a white paper outlining its approach to AI regulation. The paper's purpose is "to ensure there are guardrails in place around the use of AI technologie...