Head-to-head comparison
that's how it was vs application development trends
application development trends leads by 33 points on AI adoption score.
that's how it was
Stage: Nascent
Key opportunity: Leverage natural language processing to automate the transcription, tagging, and thematic analysis of oral history interviews, drastically reducing archival time and enabling scalable, searchable story databases.
Top use cases
- Automated Interview Transcription — Use speech-to-text AI to transcribe raw oral history recordings, cutting manual turnaround from days to minutes and allo…
- Semantic Search for Archives — Implement NLP to index and tag archived stories by theme, person, or event, enabling clients and researchers to instantl…
- AI-Assisted Editing and Summarization — Deploy large language models to generate first-pass summaries or highlight reels from long-form interviews, accelerating…
application development trends
Stage: Mid
Key opportunity: Leverage generative AI to automate content creation, personalize reader experiences, and optimize ad targeting, boosting engagement and revenue.
Top use cases
- AI-Generated Article Drafts — Use LLMs to produce initial drafts of news articles, freeing journalists to focus on analysis and exclusives.
- Personalized Content Recommendations — Deploy recommendation engines to serve readers tailored articles, increasing page views and time on site.
- Automated Social Media Promotion — Generate and schedule social posts summarizing articles, using AI to optimize timing and hashtags.
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