Manually classifying 10M media signals took 12 weeks. Now, AI agents automatically extract and match unstructured metadata to entities.
A media and entertainment intelligence platform evaluating audience demand across more than 100 global markets by analyzing billions of signals from video platforms, social media, and research datasets.
Categorizing unstructured media inputs about films, athletes, and sporting events became highly inefficient as data volumes grew. Processing a single...
“Amazon Bedrock AgentCore helped us rapidly deploy AI agents that orchestrate intelligent workflows to classify millions of content signals accurately while scaling our analytics platform globally.”
Parrot Analytics's Content classification is part of this use case:
Global entertainment analytics platform measuring audience demand for content.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Teams lost 1,700 hours coordinating campaigns. Agents now orchestrate workflows and simulate buyer journeys, freeing staff for strategy.
Similarity search mixed up Q3 and Q4 earnings. Hybrid AI now anchors retrieval with keywords and learns from human fixes instantly.
90-day strategy workflows choked prototypes. Parallel AI agents now cut processing from 6 days to hours, saving 21% OpEx.
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
New document types took weeks of manual coding. GenAI cut setup to minutes, letting teams refine extractions via natural language.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Manually classifying 10M media signals took 12 weeks. Now, AI agents automatically extract and match unstructured metadata to entities.
A media and entertainment intelligence platform evaluating audience demand across more than 100 global markets by analyzing billions of signals from video platforms, social media, and research datasets.
Categorizing unstructured media inputs about films, athletes, and sporting events became highly inefficient as data volumes grew. Processing a single...
“Amazon Bedrock AgentCore helped us rapidly deploy AI agents that orchestrate intelligent workflows to classify millions of content signals accurately while scaling our analytics platform globally.”
Parrot Analytics's Content classification is part of this use case:
Global entertainment analytics platform measuring audience demand for content.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Teams lost 1,700 hours coordinating campaigns. Agents now orchestrate workflows and simulate buyer journeys, freeing staff for strategy.
Similarity search mixed up Q3 and Q4 earnings. Hybrid AI now anchors retrieval with keywords and learns from human fixes instantly.
90-day strategy workflows choked prototypes. Parallel AI agents now cut processing from 6 days to hours, saving 21% OpEx.
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
New document types took weeks of manual coding. GenAI cut setup to minutes, letting teams refine extractions via natural language.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.