This post demonstrates how OPLOG developed and deployed three AI agents for business intelligence using the Strands Agents SDK and Amazon Bedrock AgentCore. It details the integration with Anthropic's Claude Sonnet and Amazon Bedrock Knowledge Bases for Retrieval Augmented Generation (RAG).
This post details how NarrateAI, an AI-powered conversational assistant, was built using Amazon Bedrock AgentCore to deliver business intelligence at scale for AWS SMGS. It covers the two-layer architecture, specialized AI agents for routing and validation, and key engineering patterns for production deployment.
Amazon QuickSight now generates complete multi-sheet dashboards from natural language prompts. This feature allows BI professionals to create production-ready analyses in minutes, significantly reducing manual setup time.
This report details how AI-powered lead scoring and dispatch optimization can boost efficiency and conversion rates for HVAC contractors. It outlines a low-barrier implementation plan, backed by industry data and trends.
Businesses in 2026 are looking beyond traditional dashboards to analytics platforms offering AI-driven insights and real-time decision-making. This article explores top alternatives to Tableau, addressing its challenges like high costs and limited AI transparency, and lists platforms like Lumenn AI, Power BI, and Sisense.
This article explores how Amazon QuickSight's Dataset Q&A feature goes beyond traditional BI dashboards to enable business leaders to ask ad-hoc questions. It addresses the bottleneck of waiting for BI teams, facilitating faster and more comprehensive data-driven decision-making.
No-code analytics empowers non-technical teams to confidently utilize data, removing technical roadblocks and reducing reliance on developers. It accelerates decision-making and reporting, allowing teams to track metrics and improve strategies across marketing, sales, and customer success.
This article explores the evolution of modern analytics by 2026, emphasizing its shift from mere reporting to enabling immediate, confident decisions. It highlights the importance of speed, clarity, and actionability, delving into its origins, strategies, and real-world transformations in decision-making through smarter dashboards.
The author describes using Apify scrapers to feed real projects with structured data, such as building investor outreach lists and monitoring competitors. This approach automates and significantly speeds up processes that previously required extensive manual research.
This guide explores strategies for enterprises to increase Tableau adoption and end BI fragmentation by 2026. It details how to transform Tableau into an effective enterprise decision platform, addressing challenges like the lack of a structured adoption and governance strategy.
This article explains interactive dashboards, highlighting how they transform raw data into real-time, actionable insights for decision-making. It covers their benefits, use cases, and best practices for creation.