Activant Capital - Unstructured Data Pipelines - May 2024
FreeResearch on unlocking unstructured data for AI
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About Activant Capital - Unstructured Data Pipelines - May 2024
Activant Capital's research report on unstructured data pipelines explores the challenges and opportunities of leveraging unstructured data (e.g., PDFs, Slack messages, Google Docs) for AI-driven business improvements. The article highlights how advances in NLP and LLMs enable companies to extract value from data previously considered 'junk,' with use cases in customer service, workforce scheduling, demand forecasting, and knowledge management. It also discusses market barriers and the fragmented nature of unstructured data processing.
Key Features
Analysis of unstructured data challenges and market opportunity
Use cases: customer service, workforce scheduling, demand forecasting, knowledge management
Discussion of NLP and LLM advancements in data processing
Best For
Customer service optimization with NLP-driven sentiment analysis and AI assistantsWorkforce scheduling using ML models that analyze employee availability and skill setsDemand forecasting enhanced by NLP analysis of customer reviews and sentimentKnowledge management through automated data synthesis, summarization, and gap identification
FAQ
Why is unstructured data valuable for businesses?
Unstructured data (hand-written notes, PDFs, Slack messages, etc.) represents up to 63% of growing internal company data and holds latent value. Organizations using it are 24% more likely to exceed business goals (Deloitte 2019). Advances in NLP and LLMs now enable extracting insights for customer service, workforce scheduling, demand forecasting, and knowledge management.
What are the main sticking points for adopting unstructured data pipelines?
The article notes that unstructured data processing is complicated by fragmentation across many sources (400 on average). Only about half of such data is currently used, and organization-wide adoption remains at 27% due to these fragmentation and integration challenges.