#unstructured-data

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fromMarTech
6 days ago

GenAI powers the next era of customer listening | MarTech

Surveys only capture what you ask and only from those willing to answer. If you rely on traditional listening methods, you will never hear from the silent majority. You could be missing out on your customers' real, unfiltered voice. Key signals - like emerging trends, shifting sentiment and competitor threats - are often buried in the countless conversations happening every day. With your customer data scattered across CRM systems, social tools and automation platforms,
Marketing tech
fromMarTech
1 week ago

AI's personalization magic starts with the data you can't see | MarTech

As with anything, having the correct setup is critical. For AI, that means establishing a robust, centralized data platform - combining both structured and unstructured datasets - so brands can improve the relevance of their communications and enhance customer experiences. Accuracy and governance are fundamental Whether you're setting up a simple customer segmentation or a complex lifetime value model, the core tenets of strong data foundations remain the same.
Artificial intelligence
Artificial intelligence
fromTechzine Global
2 weeks ago

Typedef project Fenic: A 'dataframe' for LLMs

Fenic is a PySpark-inspired DataFrame that transforms structured and unstructured data into scalable, production-ready AI and agentic applications, simplifying AI infrastructure complexity.
#data-science
fromMarTech
1 month ago
Data science

Messy data is your secret weapon - if you know how to use it | MarTech

Recent advances in AI enable effective analysis of messy, unstructured data, challenging the long-held belief that data must be clean.
fromInfoWorld
2 months ago
Data science

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.
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
1 month 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
2 months 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
3 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
3 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
3 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
4 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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