Advice from Google Cloud on prioritizing strong data foundations to empower AI to unlock business value. Credit: Quantum Metric When it comes to AI, the secret to its success isn’t just in the sophistication of the algorithms — it’s in the quality of the data that powers them. AI has the potential to transform industries, but without reliable, relevant, and high-quality data, even the most advanced models will fall short. Organizations must prioritize strong data foundations to ensure that their AI systems are producing trustworthy, actionable insights. In Session 2 of our Analytics AI-ssentials webinar series , Zeba Hasan, Customer Engineer at Google Cloud, shared valuable insights on why data quality is key to unlocking the full potential of AI. “Data quality is a lot more than just having lots of data. It’s about having data that’s actually fit for purpose.” — Zeba Hasan, Google Cloud Platform (GCP) Zeba Hasan brings an important point into focus: it’s not the volume of data that matters, but how well it aligns with the objectives of the AI project. Data quality is about ensuring that what you feed into the model is accurate, consistent, and relevant to the problem you’re trying to […]
K&X Design and Investment Technology, LLC
Invest The Invisible Impact
K&X Design and Investment Technology, LLC
Invest The Invisible Impact
