@dtm intelligence is never artificial and machines do not learn. If by “AI” you mean the current hype nonsense and unethical use of data and torturous use of humans for training large language models to feed generative pretrained transformers.…I fall into the hate it category. If you mean the field of AI, that has led to amazing advances in algorithms and heuristics in a variety of fields, and even furthering our understanding in neuroscience…I love it. 1/

2/ I do think that the use of causal inference will provide far greater advances over the next decade, especially as graph and topological algorithms become more widely understood and used, than since I was first introduced to Bayesian Neural Networks in 1988. The next step of codifying conceptualization is much further away. I stand by our sensor analytics ecosystems maturity model of connection, communication, contextualization, collaboration, causation, conceptualization and cognition.