Tag: faang

Generative AI is rapidly reshaping industries worldwide, empowering businesses to deliver exceptional customer experiences, streamline processes, and push innovation at an unprecedented scale. However, amidst the excitement, critical questions around the responsible use and implementation of such powerful technology have started to emerge. Although responsible AI has been a key focus for the industry over …

Read more “Responsible AI in action: How Data Reply red teaming supports generative AI safety on AWS”

Modern large language models (LLMs) excel in language processing but are limited by their static training data. However, as industries require more adaptive, decision-making AI, integrating tools and external APIs has become essential. This has led to the evolution and rapid rise of agentic workflows, where AI systems autonomously plan, execute, and refine tasks. Accurate …

Read more “Customize Amazon Nova models to improve tool usage”

Cybersecurity is facing a unique moment, where AI-enhanced threat intelligence, products, and services are poised to give defenders an advantage over the threats they face that’s proven elusive — until now.   To empower security teams and business leaders in the AI era, and to help organizations proactively combat evolving threats, today at RSA Conference we’re …

Read more “From insight to action: M-Trends, agentic AI, and how we’re boosting defenders at RSAC 2025”

This blog post is co-written with Renuka Kumar and Thomas Matthew from Cisco. Enterprise data by its very nature spans diverse data domains, such as security, finance, product, and HR. Data across these domains is often maintained across disparate data environments (such as Amazon Aurora, Oracle, and Teradata), with each managing hundreds or perhaps thousands …

Read more “Enterprise-grade natural language to SQL generation using LLMs: Balancing accuracy, latency, and scale”

In today’s data-driven world, the ability to extract meaningful insights quickly is paramount. Yet, for many, the journey from raw data to actionable intelligence is fraught with challenges. Complex SQL queries, time-consuming iterative analyses, and the gap between technical and non-technical users often hinder progress. BigQuery data canvas is a visual workspace designed to democratize …

Read more “Accelerate your data-to-insights journey with enhanced BigQuery data canvas”

Archival data in research institutions and national laboratories represents a vast repository of historical knowledge, yet much of it remains inaccessible due to factors like limited metadata and inconsistent labeling. Traditional keyword-based search mechanisms are often insufficient for locating relevant documents efficiently, requiring extensive manual review to extract meaningful insights. To address these challenges, a …

Read more “Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker”