Web and Mobile App Development Company in San Diego | Bitcot

  Getting an AI feature to work in a demo is the easy bit. Keeping it accurate six months later, after your data has shifted and your model provider has shipped a new version, is where most teams get stuck. RAND researchers found that more than 80% of AI projects fail, and the first root cause they listed was stakeholders misreading the problem AI should solve. The full guide breaks down what these services really cover: https://www.bitcot.com/ai-application-development-services/ . It’s the engineering around the model: data pipelines, model integration, deployment, monitoring, and long-term maintenance. The model is only one part. Everything that feeds it, wraps it, and watches it is the service you’re paying for.  In it, you’ll find a checklist of capabilities to expect from a development partner, including data engineering, MLOps, application integration, and explainability. You’ll also see five build decisions that separate AI that reaches production from AI that stalls:...