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The Challenges of AI Product Development
InfoQ - AI, ML & Data Engineering www.infoq.com
Developing artificial intelligence (AI) products involves creating models and feeding data to train them, testing the models, and deploying them. Software engineers can support the adoption of AI and machine learning (ML) in companies by building an understanding of the technologies, encouraging experimentation, and ensuring compliance with regulations and ethical standards.
By Ben Lindersadoption agile conferences ai ai and machine learning artificial artificial intelligence building challenges companies compliance culture & methods data data model development engineers experimentation intelligence machine machine learning ml & data engineering product product development products regulations software software engineers standards support technologies testing them understanding