In this post, you will learn how to build a voice agent that handles appointment reminder conversations using Amazon Nova 2 Sonic and Amazon Bedrock AgentCore. The agent authenticates patients by voice, manages appointments (confirm, cancel, or reschedule), collects pre-visit health information, and escalates to human staff when needed. You handle routine calls at scale, which can help reduce no-show rates. This sample focuses on the agentic side of the problem: voice conversation and tool orchestration. A browser-based interface is included for testing. To connect the agent to actual phone lines for outbound dialing, you would integrate a telephony service such as Amazon Connect Customer.

This post explains how to build an end-to-end integration between Snowflake semantic views and Amazon QuickSight. Using movie review data, it demonstrates how to define a shared business logic layer, explore data with natural-language queries via Cortex Analyst, and generate consistent dashboards—reducing data reconciliation efforts and AI hallucinations.

Tom MacWright observes that an increasing number of job applications are fully or partially generated by LLMs, making candidates 'accidentally anonymous'.

Daikin Applied Americas redesigned its data engineering operating model using Databricks Genie Code, implementing a MECE skill framework and medallion architecture to enforce consistency. This AI-assisted approach accelerates pipeline development while maintaining governance and alignment with business concepts.

A dashboard is a live visual interface that brings together key metrics from multiple sources into one screen, helping teams monitor performance and act on data at a glance. Effective dashboards have a single clear purpose, a defined audience, and consistent data behind them. AI is shifting dashboards from static screens to conversational interfaces, but trustworthy AI-assisted analytics depends on governed, consistently defined data at the source.

Loka built a conversational AI agent using Amazon Nova 2 Sonic that addresses the latency and unnaturalness of traditional voice assistants, achieving high accuracy, low cost, and natural interactions through native speech-to-speech processing.

Google Research reveals a counterintuitive phenomenon: even for simple factual questions, prompting LLMs to generate reasoning chains improves answer accuracy. Two mechanisms are identified: computational buffer (extra tokens provide additional computation) and factual priming (generating related facts facilitates retrieval).

Kythera Labs is building an AI-native healthcare strategy platform on Databricks that gives any health system access to expert intelligence through AI agents that answer strategic questions in plain language. A Louisiana health system went live in 10 days, achieving 150% more visibility into patient encounters, 22% less leakage, and $3.8M in estimated annualized value.