EP 205 - Al and IoT: Building Trustworthy Time-Series Data

Industrial IoT Spotlight

Innhold levert av IoT ONE, Peter Rohde-Chen, and Erik Walenza. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av IoT ONE, Peter Rohde-Chen, and Erik Walenza eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

8M ago 36:55

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In this episode of the Industrial IoT Spotlight Podcast, we interviewed Bert Baeck, Co-founder and CEO of Timeseer.AI. Timeseer.AI is revolutionizing time-series data operations by automating data orchestration across organizations. Bert shared his journey from a background in data science to becoming a serial entrepreneur, with successful ventures like TrendMiner and now Timeseer.AI.

We discussed the impacts of data downtime and strategies to ensure data quality, empowering data teams to detect, prioritize, and investigate data quality issues before they affect operations.

Key Discussion Points:

The critical role of data quality in industrial IoT and OT environments.
How to establish metrics for measuring data quality.
Real-world examples where data quality significantly impacts business operations.
Timeseer.AI’s philosophy of scanning data where it resides, whether on the edge, in storage units, or in the cloud.
The interplay between IT and OT teams in ensuring data quality.

To learn more about our guest, you can find him at:

Website: https://www.timeseer.ai/

LinkedIn: https://www.linkedin.com/in/bertbaeck/?originalSubdomain=be

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