#unstructureddata — Public Fediverse posts

Token prices are dropping—but total AI costs keep climbing. https://jpmellojr.blogspot.com/2026/07/falling-token-prices-fail-to-slow.html #AItokens #TechEconomics #AIInfrastructure #UnstructuredData

MindsDB vừa tích hợp với MCP Toolbox của Google, hỗ trợ dữ liệu phi cấu trúc (Gmail, Slack) cùng dữ liệu có cấu trúc (Salesforce, GitHub). Cho phép truy vấn SQL xuyên suốt các nguồn dữ liệu, phá vỡ silo và cung cấp dữ liệu thời gian thực cho ứng dụng AI.

Tính năng nổi bật:
- Kết nối 200+ nguồn dữ liệu
- Phân tích liên nguồn bằng SQL
- Kiến thức cơ sở cho RAG và dữ liệu phi cấu trúc
- Giao diện SQL thống nhất

#MindsDB #MCPToolbox #Google #AI #DataIntegration #UnstructuredData #RAG
#CôngNghệ #T

Enterprises collect more unstructured data and pay more to manage it #UnstructuredData #ArtificialIntelligence

https://betanews.com/2025/12/09/enterprises-collect-more-unstructured-data-and-pay-more-to-manage-it/

Enterprises collect more unstructured data and pay more to manage it #UnstructuredData #ArtificialIntelligence

https://betanews.com/2025/12/09/enterprises-collect-more-unstructured-data-and-pay-more-to-manage-it/

Polestar Analytics warns that the next wave of winners will be those who turn chaotic, unstructured data into actionable intelligence. Indian enterprises are racing to embed AI and operational insight across their data ecosystem. Discover how convergence is reshaping adoption. #AI #UnstructuredData #OperationalIntelligence #PolestarAnalytics

🔗 https://aidailypost.com/news/polestar-analytics-says-winners-will-turn-unstructured-data-into-value

Harvard Business Review: To Create Value with AI, Improve the Quality of Your Unstructured Data. “Most companies have not done well with the quality of structured data, even as this data is used every day to complete business transactions and understand performance. Unstructured data is tougher. The last serious attempts to address unstructured data date to the 1990s and 2000s when knowledge […]

https://rbfirehose.com/2025/05/31/harvard-business-review-to-create-value-with-ai-improve-the-quality-of-your-unstructured-data/

Harvard Business Review: To Create Value with AI, Improve the Quality of Your Unstructured Data. “Most companies have not done well with the quality of structured data, even as this data is used every day to complete business transactions and understand performance. Unstructured data is tougher. The last serious attempts to address unstructured data date to the 1990s and 2000s when knowledge […]

https://rbfirehose.com/2025/05/31/harvard-business-review-to-create-value-with-ai-improve-the-quality-of-your-unstructured-data/

I know that it is popular to completely hate on #LLMs but when used for the right task, they do work very well. *Very* well.

#ai #machinelearning #llm #annotations #annotation #metadataextraction #unstructureddata to #structureddata

I know that it is popular to completely hate on #LLMs but when used for the right task, they do work very well. *Very* well.

#ai #machinelearning #llm #annotations #annotation #metadataextraction #unstructureddata to #structureddata

Join me for a talk about "How To Construct Knowledge Graphs from Unstructured Data" hosted by GraphGeeks.org

https://live.zoho.com/PBOB6fvr6c
Wed Aug 14, 09:00 US Pacific

We'll walk you through the broader practices of building and updating knowledge graphs, while leveraging open source libraries for state-of-the-art tooling (hint: lots of transformer models, not LLMs).

#ERKG #KnowledgeGraph #UnstructuredData #DataScience #MachineLearning #TechWorkshops

Join me for a talk about "How To Construct Knowledge Graphs from Unstructured Data" hosted by GraphGeeks.org

https://live.zoho.com/PBOB6fvr6c
Wed Aug 14, 09:00 US Pacific

We'll walk you through the broader practices of building and updating knowledge graphs, while leveraging open source libraries for state-of-the-art tooling (hint: lots of transformer models, not LLMs).

#ERKG #KnowledgeGraph #UnstructuredData #DataScience #MachineLearning #TechWorkshops

"Researchers at #Stanford Introduce #SUQL: A Formal Query Language for Integrating Structured and Unstructured #Data"

https://www.marktechpost.com/2024/05/04/researchers-at-stanford-introduce-suql-a-formal-query-language-for-integrating-structured-and-unstructured-data/

See paper at: https://arxiv.org/abs/2311.09818, and code at: https://github.com/stanford-oval/suql

#UnstructuredData #LLM #StructuredData

"Researchers at #Stanford Introduce #SUQL: A Formal Query Language for Integrating Structured and Unstructured #Data"

https://www.marktechpost.com/2024/05/04/researchers-at-stanford-introduce-suql-a-formal-query-language-for-integrating-structured-and-unstructured-data/

See paper at: https://arxiv.org/abs/2311.09818, and code at: https://github.com/stanford-oval/suql

#UnstructuredData #LLM #StructuredData

@stephensmith With the exponential expansion of info locked up in unstructured data in the form of images, video, audio, documents, using the traditional monolithic data warehouse based on system generated normalised data to gain organisational insights (via the so-called Inmon method) became rather outmoded #DataLakes #DataWarehouse #UnstructuredData

@stephensmith With the exponential expansion of info locked up in unstructured data in the form of images, video, audio, documents, using the traditional monolithic data warehouse based on system generated normalised data to gain organisational insights (via the so-called Inmon method) became rather outmoded #DataLakes #DataWarehouse #UnstructuredData

@stephensmith data warehouses store _structured_ data i.e. traditional, rigid table / row / columnar information usually produced by systems, for purposes of read-heavy analytics processing, e.g. customer data with cust id, address lines, name, forename, phone numbers, etc; data _lakes_ allow mass storage of _unstructured_ data, usually generated by humans, also for the purposes of analytics processing. #DataLakes #DataWarehouse #UnstructuredData

@stephensmith data warehouses store _structured_ data i.e. traditional, rigid table / row / columnar information usually produced by systems, for purposes of read-heavy analytics processing, e.g. customer data with cust id, address lines, name, forename, phone numbers, etc; data _lakes_ allow mass storage of _unstructured_ data, usually generated by humans, also for the purposes of analytics processing. #DataLakes #DataWarehouse #UnstructuredData

The explosion of #UnstructuredData and the diversity in #DataTypes is bringing a host of new challenges for #ITDepartments and #DataStorage professionals, including escalating storage and #BackupCosts, management complexity, #SecurityRisks, and an opportunity gap from hindered visibility.
We need new, smart #analytics and #metrics that help us understanding data and involving application owners and department and #BusinessStakeholders in #DataManagement decisions.
https://flip.it/ZC1uAP