Water trade professionals explored the intersection of synthetic intelligence (AI) and machine studying (ML) throughout a pre-conference workshop in Ocean Metropolis, Maryland yesterday, discovering that whereas AI’s roots return to 1948, in the present day’s Generative AI has the potential to utterly upend their trade.
Designed to make AI applied sciences accessible and related, the periods emphasised the vital function of knowledge and the significance of knowledge governance, sparking pleasure and curiosity amongst individuals — all main as much as the Chesapeake Tri-Affiliation Convention (TriCon), the water trade’s premier occasion.
Professionals from the Metropolis of Rockville, WSSC, Metropolis of Baltimore, DC Water, and regional engineering firms gathered to discover how AI could be successfully utilized to their discipline. Offered by the CWEA and CSAWWA Asset Administration Committee, the session featured Craig Daly from the Metropolis of Baltimore, Travis Wagner of Trinnex, Brandon O’Daniel of Xylem, John Smith of Haley Ward and Davar Ardalan of TulipAI.
The workshop centered on sensible, actionable steps, displaying individuals how these instruments can improve accuracy, save time, and optimize their water methods. Breakout periods additionally launched individuals to the real-world functions of generative AI instruments.
John Smith of Haley Ward and Davar Ardalan of TulipAI led a particular section titled “Accountable AI Adventures: Innovating Environmental Engineering,” which highlighted the significance of moral concerns when utilizing AI within the water trade.
Smith and Ardalan launched the beta model of John Smith GPT, an AI assistant designed to help John and his group of environmental engineers in duties like proposal writing, price estimating, and advertising methods. They emphasised two vital factors: first, by no means share proprietary data with an open AI software; and second, at all times be clear when utilizing AI, simply as you’d with a bibliography or by naming your sources. This transparency is crucial for sustaining belief and integrity in how AI is built-in into skilled practices.
Attempt the beta model of John Smith GPT right here.
John Smith additionally underscored the significance of not sharing confidential data with AI methods. He likened AI to a strong software that, like some other, must be used responsibly. Furthermore, he inspired attendees to pilot AI instruments with their groups earlier than full-scale implementation, permitting for collaborative enter and refinement of the know-how to go well with particular wants. Their message was clear: AI can remodel the trade, however it have to be used thoughtfully and with full consciousness of its moral implications.
As AI instruments proceed to develop, periods like this at TriCon are important for staying knowledgeable and ready. They equip water professionals with the instruments and understanding they should harness new applied sciences successfully and responsibly.
This content material was crafted with the help of synthetic intelligence, which contributed to structuring the narrative, making certain grammatical accuracy, summarizing key factors, and enhancing the readability and coherence of the fabric.
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