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Challenges Adopting AI in Engineering

How Keyward HUB enables seamless AI integration into your engineering workflows without the necessity of coding.

A comprehensive report on the challenges adopting AI in engineering

  • AI can revolutionize the engineering field by providing real-time feedback, simulating and testing designs, and generating design alternatives.
  • Challenges in AI implementation include data-related issues (data quality, availability, preparation, privacy, and security), technical hurdles, and talent acquisition challenges.
  • Keyward tackles these challenges by providing tools such as Keyward HUB for automated data extraction, exploratory data analysis, and AI-ready data preparation, as well as Keyward FLOW for training or fine-tuning AI models. They aim to democratize AI implementation in engineering and make it accessible to engineers without coding skills.

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