Explainable AI (XAI) is an emerging field in machine learning that aims to address how black box decisions of AI systems are made
If you are feeling stuck in your digital transformation journey, you are not alone. One of the hardest questions in digital transformation is how to get over the initial humps from vision to execution.
Date: 17th November 2022
Time: 11am EST
Continued advances promise to produce autonomous systems that will perceive, learn, decide, and act on their own. However, the effectiveness of these systems is limited by its inability to explain their decisions and actions to human users.
Date: 16th March 2023
Time: 10am EST
This webinar will delve into the decision-making processes of AI systems & will elaborate about techniques such as feature importance, sensitivity analysis, and model interpretability, and how they can be used to make AI systems more transparent and interpretable
More Details Coming Soon
According to a report by MarketsandMarkets, the global AI in the construction market is expected to grow from $407 million in 2018 to $1.8 billion by 2024, at a compound annual growth rate (CAGR) of 34.0%
According to a report by McKinsey, companies that adopt AI and ML in the construction industry can improve productivity by 50% and reduce project timelines by 20%
According to a study by the World Economic Forum, AI and ML can help the construction industry save $1.6 trillion by 2030