The Data Quality Problem in AI #shorts #ai

If your data is not clean, consistent, and properly formatted, your ML models, AI systems, and real-time insights will break down fast—because garbage in, garbage out is still one of the biggest truths in data engineering, AI adoption, and enterprise analytics.
You can also listen to this podcast episode on:
Spotify: https://open.spotify.com/episode/4jvX62goNjDM3ZshPx30Xz?si=8bd5aaca5f91446a

Apple: https://podcasts.apple.com/us/podcast/episode-42-the-missing-link-between-ai-engineering/id1741536787?i=1000722975739

You can also apply to be the guest on TeqTalk: https://www.teqfocus.com/teqtalks/
You can connect with:
Jas Kaur, CTO, Teqfocus: https://www.linkedin.com/in/jas-kaur-5396b237/

Anjan Kumar Ayyadapu, Senior Data Solutions Architect, Cloudera: https://www.linkedin.com/in/anjanreddy8686/

Harshit Kohli, Sr. Technical Account Manager, Amazon Web Services: https://www.linkedin.com/in/harshit-kohli-99801543/

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One of the biggest myths in AI is that having a lot of data automatically creates value. It does not. This short explains why data quality, data preparation, and strong data engineering still determine whether AI models and machine learning systems succeed or fail. Even organizations that have spent years building big data warehouses, data marts, and enterprise data platforms often struggle when they finally try to deploy AI, because the data is not yet clean, consistent, or properly formatted.

That is where the real bottleneck begins. If poor-quality data goes into your system, poor outcomes come out of your model. This short is especially relevant for leaders in AI, machine learning, data engineering, cloud data platforms, analytics, and enterprise transformation who want to understand why so many AI initiatives stall before they create measurable business value.

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About podcast:

TeqTalk is a leading technology podcast hosted by Jas Kaur, focused on the future of AI, data, and digital innovation especially in the healthcare, pharma, and tech space. Each episode features exclusive conversations with CXOs, CIOs, data architects, and industry experts from across the US and Canada.

From AI-powered transformation and natural language data access to real-time insights and data integration, TeqTalk explores how modern businesses can bridge the gap between technology and strategy. Whether you're a tech leader, marketer, or innovation enthusiast, TeqTalk delivers practical knowledge, thought leadership, and cutting-edge trends shaping the future of enterprise solutions.

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Видео The Data Quality Problem in AI #shorts #ai канала TeqTalk