John Harrington of HighByte: Stop Making Data Swamps, Start Shipping Chocolate
カートのアイテムが多すぎます
カートに追加できませんでした。
ウィッシュリストに追加できませんでした。
ほしい物リストの削除に失敗しました。
ポッドキャストのフォローに失敗しました
ポッドキャストのフォロー解除に失敗しました
John Harrington of HighByte: Stop Making Data Swamps, Start Shipping Chocolate
-
ナレーター：
-
著者：
We talk with John Harrington, co-founder of HighByte, about why factory-floor data stays invisible to the teams who need it most and how Industrial DataOps closes that gap. We explore contextualized data pipelines, the post-IoT architecture shift toward cloud data platforms, and why AI agents will force a new level of data quality and governance.
• Moving beyond “throw it over the wall” design and giving engineers real manufacturing feedback loops
• Defining Industrial DataOps and why context makes raw OT data usable
• Handling messy realities across MES, ERP, historians, inspection systems, files, and streaming telemetry
• Avoiding data swamps by standardizing, governing, and observing data pipelines at scale
• Using no-code tooling to build and maintain pipelines without relying on programmers
• Filtering and sampling data based on use case, frequency needs, and event triggers
• Preparing for AI agents as massive new consumers of shop floor data
• Realistic talk on AI and jobs, focusing on better work through better signal detection