What is the best way to measure AI product performance?
Measuring AI product performance is not a straightforward task. Unlike traditional software products, AI products rely on data, algorithms, and models that can change over time and affect the quality, accuracy, and usability of the product. How can you ensure that your AI product is delivering value to your customers and stakeholders? In this article, you will learn about some of the best practices and methods to measure AI product performance, such as defining clear objectives, choosing relevant metrics, setting baselines and benchmarks, monitoring feedback and behavior, and conducting experiments and tests.
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Dr. Priyanka Singh Ph.D.Engineering Manager - AI @ Universal AI 🧠 Linkedin Top Voice 🎙️ Generative AI Author 📖 Technical Reviewer @Packt…
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Kumaran PonnambalamAI / ML Leader & Author
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Roland CernatTips for delegating work to AI with ease in your job and business | Background: digital business, innovation…