Data Quality | The Secret Behind Great AI

AI giving weird answers? It might not be the AI's fault... 🎬 In the third episode of KNIME’s series "Data in Action", we break down: 🟩 What data quality actually means 🟩 Why bad data leads to bad AI outcomes 🟩 The real-world risks of incomplete, outdated, noisy, and biased data 🟩 The 4 data quality best practices 🟩 How organizations use high-quality data to power trustworthy AI systems Whether you're exploring AI for the first time, working with data, or simply trying to make better data-driven decisions, this episode is for you. What you'll learn: 00:00 Intro 00:16 Today's Topic 00:54 The Reality of AI 01:46 Incomplete Data 02:00 Outdated Data 02:17 Noisy Data 02:34 Biased Data 03:07 Data Quality 04:01 AI Agents 04:36 The 4 Practices 05:18 Data Governance 05:49 Data Cleaning 06:18 Data Validation 06:44 Summary Read more about Data Quality 🔎 https://www.knime.com/blog/data-quality-real-power-behind-ai Learn how to automate Data Cleaning 🧹 https://www.knime.com/blog/how-to-automate-data-cleaning Free Courses to become a Data Engineer 👨🏻‍💻 https://www.knime.com/learning