Agentic AI Workflows and the Future of Streaming Ad Tech
Agentic AI Workflows and the Future of Streaming Ad Tech AI is bringing a new coordination layer to ad tech that is impacting every area of the streaming monetization workflow, including executing transactions, preparing inventory, understanding audience, and improving campaigns and measurement. Media planning is moving from static spreadsheets to living systems. “I would say 35%, or maybe 40%,” according to Luciano Marcos Escudero, VP of media engineering at Globant.
- ▪Agentic AI Workflows and the Future of Streaming Ad Tech AI is bringing a new coordination layer to ad tech that is impacting every area of the streaming monetization workflow, including executing transactions, preparing inventory, unders
- ▪Media planning is moving from static spreadsheets to living systems.
- ▪“I would say 35%, or maybe 40%,” according to Luciano Marcos Escudero, VP of media engineering at Globant.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,279 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Streaming Media Magazine |
| Canonical URL | https://www.streamingmedia.com/Articles/ReadArticle.aspx?ArticleID=175405 |
| Publication time | Sat, 25 Jul 2026 02:31:42 +0000 |
| Retrieval time | 2026-07-25T02:45:12.737Z |
| Last seen | 2026-07-25T02:45:12.737Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | b5QIg-22LtGS |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Agentic AI Workflows and the Future of Streaming Ad Tech AI is bringing a new coordination layer to ad tech that is impacting every area of the streaming monetization workflow, including executing transactions, preparing inventory, understanding audience, and improving campaigns and measurement. Media planning is moving from static spreadsheets to living systems. The best teams are using AI to ask better questions, such as “What if supply shifts midflight?” or “What if this audience over-indexes on live?”AI makes it possible to model delivery across live, VOD, and FAST together and to update forecasts as signals come in, instead of planning channel by channel.The Current State of AI AdoptionHow many people on the publisher side are currently using AI in ad tech? “I would say 35%, or…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Streaming Media Magazine.
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