{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Manufacturing Hub","title":"Ep. 169 - Information At Scale - Aron Semle","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/74dbf51c\"></iframe>","width":"100%","height":180,"duration":3925,"description":"Join Dave and Vlad with Aron Semle of HighByte this Wednesday at 4pm EST!In Episode 169 of Manufacturing Hub, hosts Dave and Vlad engage in an discussion with Aaron Semle, the Chief Technology Officer of HiByte. The episode delves into the evolving field of Industrial DataOps, a concept that Aaron passionately advocates for, and explores his extensive career in the industry.Aaron Semle’s journey began with his foundational work on OPC UA and OPC drivers at Kepware, where he was deeply involved in developing communication solutions for industrial automation. This early experience laid the groundwork for his subsequent roles, including significant positions at PTC and a healthcare startup. His career trajectory reflects a broad understanding of how data integration and management have transformed across various sectors.Aaron defines Industrial DataOps as the adaptation of data operations principles specifically for the industrial and manufacturing sectors. Unlike traditional IT operations that often involve transferring data without a comprehensive context, Industrial DataOps focuses on managing data in a way that maintains and enhances its relevance within industrial environments. This approach emphasizes the importance of context and the specific needs of manufacturing processes, aiming to bridge the gap between IT and OT (Operational Technology).A key point Aaron makes is that Industrial DataOps is not just about technology but also about fostering collaboration between IT and OT teams. The success of data initiatives hinges on aligning these teams to address practical challenges effectively. Aaron stresses that while data contextualization is crucial, it should be driven by specific use cases rather than being applied uniformly across all scenarios. This targeted approach ensures that the data solutions implemented are practical and aligned with the operational realities of the manufacturing environment.The conversation highlights how Industrial DataOps can...","thumbnail_url":"https://img.transistorcdn.com/yoKAvzBXZ3YjQTekFk7KFGXeuwJ29WgXvop3dVEfhLs/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzE3MjEzLzE2MDk0/MzA1OTgtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}