https://community.databricks.com/t5/announcements/announcement-how-databricks-is-turning-video-into-searchable/m-p/161857#M901 <P><SPAN>Databricks has shared a practical approach for turning large volumes of video into searchable, AI-ready intelligence by treating video analysis as a data engineering problem. For public sector and operational teams, that means moving faster from raw footage to usable insight without relying on slow, manual review.</SPAN></P> <P><FONT size="4"><STRONG>What’s new</STRONG></FONT></P> <UL> <LI style="font-weight: 400;" aria-level="1"><STRONG>Search video with natural language</STRONG><SPAN>: Teams can describe what they are looking for in plain English and use AI to find the most relevant moments in video.</SPAN></LI> <LI style="font-weight: 400;" aria-level="1"><STRONG>Automatically surface the important parts</STRONG><SPAN>: Databricks uses vision-language models, serverless GPUs, and Lakeflow pipelines to detect objects of interest, cut video down to key clips, and generate summaries.</SPAN></LI> <LI style="font-weight: 400;" aria-level="1"><STRONG>Built to scale across many videos</STRONG><SPAN>: The same pipeline can run as an app-driven or event-driven workflow, making it easier to process large amounts of footage without managing separate infrastructure.</SPAN></LI> <LI style="font-weight: 400;" aria-level="1"><STRONG>Flexible by design</STRONG><SPAN>: The architecture is model-agnostic, so teams can adapt it to different vision models, summarization models, and domain-specific use cases.</SPAN></LI> <LI style="font-weight: 400;" aria-level="1"><STRONG>Strong fit for mission and operations use cases</STRONG><SPAN>: This approach maps well to scenarios like smart infrastructure, public safety, and operational monitoring, where agencies need faster access to insights from high-volume visual data.</SPAN></LI> </UL> <P class="p8i6j01 paragraph"><A style="background-color: #ff3621; color: white; padding: 10px 20px; text-decoration: none; border-radius: 5px; font-weight: bold; display: inline-block;" href="https://www.databricks.com/blog/how-databricks-turning-video-searchable-actionable-intelligence" target="_blank" rel="noopener"> <span class="lia-unicode-emoji" title=":backhand_index_pointing_right:">👉</span> Read the full post here </A></P> Mon, 06 Jul 2026 10:13:13 GMT Tushar_Parekar 2026-07-06T10:13:13Z https://community.databricks.com/t5/announcements/announcement-how-databricks-is-turning-video-into-searchable/m-p/161857#M901 <P><SPAN>Databricks has shared a practical approach for turning large volumes of video into searchable, AI-ready intelligence by treating video analysis as a data engineering problem. For public sector and operational teams, that means moving faster from raw footage to usable insight without relying on slow, manual review.</SPAN></P> <P><FONT size="4"><STRONG>What’s new</STRONG></FONT></P> <UL> <LI style="font-weight: 400;" aria-level="1"><STRONG>Search video with natural language</STRONG><SPAN>: Teams can describe what they are looking for in plain English and use AI to find the most relevant moments in video.</SPAN></LI> <LI style="font-weight: 400;" aria-level="1"><STRONG>Automatically surface the important parts</STRONG><SPAN>: Databricks uses vision-language models, serverless GPUs, and Lakeflow pipelines to detect objects of interest, cut video down to key clips, and generate summaries.</SPAN></LI> <LI style="font-weight: 400;" aria-level="1"><STRONG>Built to scale across many videos</STRONG><SPAN>: The same pipeline can run as an app-driven or event-driven workflow, making it easier to process large amounts of footage without managing separate infrastructure.</SPAN></LI> <LI style="font-weight: 400;" aria-level="1"><STRONG>Flexible by design</STRONG><SPAN>: The architecture is model-agnostic, so teams can adapt it to different vision models, summarization models, and domain-specific use cases.</SPAN></LI> <LI style="font-weight: 400;" aria-level="1"><STRONG>Strong fit for mission and operations use cases</STRONG><SPAN>: This approach maps well to scenarios like smart infrastructure, public safety, and operational monitoring, where agencies need faster access to insights from high-volume visual data.</SPAN></LI> </UL> <P class="p8i6j01 paragraph"><A style="background-color: #ff3621; color: white; padding: 10px 20px; text-decoration: none; border-radius: 5px; font-weight: bold; display: inline-block;" href="https://www.databricks.com/blog/how-databricks-turning-video-searchable-actionable-intelligence" target="_blank" rel="noopener"> <span class="lia-unicode-emoji" title=":backhand_index_pointing_right:">👉</span> Read the full post here </A></P> Mon, 06 Jul 2026 10:13:13 GMT https://community.databricks.com/t5/announcements/announcement-how-databricks-is-turning-video-into-searchable/m-p/161857#M901 Tushar_Parekar 2026-07-06T10:13:13Z