#unstructured-data

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Data science
fromInfoWorld
2 months ago

Building an analytics architecture for unstructured data and multimodal AI

Organizations must adapt data pipelines for scalability and consistency to leverage AI effectively.
Flexible data preparation processes are essential for managing unstructured data and evolving with business needs.
Artificial intelligence
fromMedium
3 weeks ago

The Role of LLMs in Managing Unstructured Data

Large language models enable organizations to effectively manage and analyze unstructured data, improving automation and insight extraction.
Marketing
fromMarTech
1 month ago

Using AI to build a DIY customer sentiment analysis solution | MarTech

Marketers must address unstructured data challenges in customer satisfaction surveys to extract actionable insights.
Data science
fromInfoWorld
2 months ago

Snowflake's Cortex AISQL aims to simplify unstructured data analysis

Snowflake is integrating generative AI-powered SQL functions to empower data analysts to handle unstructured data more efficiently.
Data science
fromHarvard Business Review
2 months ago

To Create Value with AI, Improve the Quality of Your Unstructured Data

Unstructured data enhances generative AI's uniqueness and relevance, improving economic value.
Simply installing generative AI tools like CoPilot may lead to low return on investment.
fromComputerWeekly.com
2 months ago

AI storage: NAS vs SAN vs object for training and inference | Computer Weekly

Enterprises need diverse data sources for effective AI, especially in LLM training, and must navigate storage options for structured and unstructured data.
Artificial intelligence
fromSitepoint
3 months ago

Why Your Automation Needs AI Decision-Making (And How Wordware Delivers) - SitePoint

Traditional automation tools excel at simple tasks but struggle with complex workflows requiring contextual understanding.
fromHackernoon
1 year ago

Unstructured Data Is Trying to Tell You Something - Try Listening to It: The Human Side of Logs | HackerNoon

Unstructured data is vital for understanding user experience beyond traditional metrics.
Artificial intelligence
fromTechzine Global
3 months ago

IBM expands hybrid cloud options for AI

IBM's Watsonx Orchestrate allows rapid AI agent creation, enhancing integration across business applications.
IBM's technologies support businesses in overcoming challenges posed by fragmented IT environments.
Unstructured data can be effectively utilized for AI enhancement with IBM's improved watsonx.data.
fromComputerworld
3 months ago

Cohere's Embed 4 model helps enterprises search dynamic documents, 'messy' data

Embedding models help transform complex data into numerical representations that computers can understand, capturing the semantic meaning for effective search and recommendation tasks.
Marketing tech
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