Last week our staff engineer Will Hakim wrote about his learnings from building with artificial intelligence and large language models. One of his most important observations is that AI applications thrive not just based on technology, but from (in his words) understanding a customer’s workflow and fitting AI into it.
Last week, New York City hosted two events which wear out the shoe leather (and sometimes the patience) of New Yorkers and visitors alike: the United Nations General Assembly (UNGA), and Climate Week NYC.
When Bruce and I were initially discussing what Halcyon would become, the question of what data and information to prefer in our ingestion processes, at first, was important. Perhaps I did not help matters much when Bruce asked me “what information do you want?” and I responded “all of it.”
Every asset has value. In the energy world, we can define that value in multiple ways.
I am not a management consultant, nor was I ever one (nor, as the old advertising trope goes, did I play one on TV1). That said, enough time in the information business has given me a sense for the value of mental models and heuristic devices to help us understand complex systems.
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