Retrieval Augmented Generation (RAG) is a fundamental approach for building advanced generative AI applications that connect large language models (LLMs) to enterprise knowledge. However, crafting a reliable RAG pipeline is rarely a one-shot process. Teams often need to test dozens of configurations (varying chunking strategies, embedding models, retrieval techniques, andContinue Reading
Amazon SageMaker Unified Studio represents the evolution towards unifying the entire data, analytics, and artificial intelligence and machine learning (AI/ML) lifecycle within a single, governed environment. As organizations adopt SageMaker Unified Studio to unify their data, analytics, and AI workflows, they encounter new challenges around scaling, automation, isolation, multi-tenancy, andContinue Reading
In Part 1 of our series, we established the architectural foundation for an enterprise artificial intelligence and machine learning (AI/ML) configuration with Amazon SageMaker Unified Studio projects. We explored the multi-account structure, project organization, multi-tenancy approaches, and repository strategies needed to create a governed AI development environment. In this post,Continue Reading
AI agents are rapidly transforming enterprise operations. Although a single agent can perform specific tasks effectively, complex business processes often span multiple systems, requiring data retrieval, analysis, decision-making, and action execution across different systems. With multi-agent collaboration, specialized AI agents can work together to automate intricate workflows. This post exploresContinue Reading
Organizations across various sectors face significant challenges when converting meeting recordings or recorded presentations into structured documentation. The process of creating handouts from presentations requires lots of manual effort, such as reviewing recordings to identify slide transitions, transcribing spoken content, capturing and organizing screenshots, synchronizing visual elements with speaker notes,Continue Reading
AI agents are transforming the landscape of customer support by bridging the gap between large language models (LLMs) and real-world applications. These intelligent, autonomous systems are poised to revolutionize customer service across industries, ushering in a new era of human-AI collaboration and problem-solving. By harnessing the power of LLMs andContinue Reading
Multinational organizations face the complex challenge of effectively managing a workforce and operations across different countries, cultures, and languages. Maintaining consistency and alignment across these global operations can be difficult, especially when it comes to updating and sharing business documents and processes. Delays or miscommunications can lead to productivity losses,Continue Reading
Contextual advertising, a strategy that matches ads with relevant digital content, has transformed digital marketing by delivering personalized experiences to viewers. However, implementing this approach for streaming video-on-demand (VOD) content poses significant challenges, particularly in ad placement and relevance. Traditional methods rely heavily on manual content analysis. For example, aContinue Reading
As organizations scale their Amazon Elastic Kubernetes Service (Amazon EKS) deployments, platform administrators face increasing challenges in efficiently managing multi-tenant clusters. Tasks such as investigating pod failures, addressing resource constraints, and resolving misconfiguration can consume significant time and effort. Instead of spending valuable engineering hours manually parsing logs, tracking metrics,Continue Reading
IT operations teams face the challenge of providing smooth functioning of critical systems while managing a high volume of incidents filed by end-users. Manual intervention in incident management can be time-consuming and error prone because it relies on repetitive tasks, human judgment, and potential communication gaps. Using generative AI forContinue Reading
