Flipboard

MAY 30, 2025

Non-conversational applications offer unique advantages such as higher latency tolerance, batch processing, and caching, but their autonomous nature requires stronger guardrails and exhaustive quality assurance compared to conversational applications, which benefit from real-time user feedback and supervision. Puneet Sahni is Sr.

AI 158

AI AI AWS ML 158

AWS Machine Learning Blog

DECEMBER 4, 2024

This framework creates a central hub for feature management and governance with enterprise feature store capabilities, making it straightforward to observe the data lineage for each feature pipeline, monitor data quality , and reuse features across multiple models and teams.

ML 99

ML ML AWS AI 99

ODSC - Open Data Science

JUNE 10, 2025

By automating SQL generation, businesses can empower a broader range of users to access and analyze data directly. Why Data Quality and Freshness Matter Generative AI’s performance is tightly linked to the quality and timeliness of the data it consumes. Incorporate rigorous prompt testing to eliminate errors.

SQL 52

SQL AI AI System Architecture 52

O'Reilly Media

NOVEMBER 19, 2024

What’s old becomes new again: Substitute the term “notebook” with “blackboard” and “graph-based agent” with “control shell” to return to the blackboard system architectures for AI from the 1970s–1980s. See the Hearsay-II project , BB1 , and lots of papers by Barbara Hayes-Roth and colleagues. Does GraphRAG improve results?

Database 131

Database Natural Language Processing AI AI 131

Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. Think of data governance as the rules and regulations governing the kingdom of information. Look at the table below.

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

Heartbeat

JANUARY 9, 2024

Large language models have emerged as ground-breaking technologies with revolutionary potential in the fast-developing fields of artificial intelligence (AI) and natural language processing (NLP). These LLMs are artificial intelligence (AI) systems trained using large data sets, including text and code.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Artificial Intelligence 52