AI News and Blog Articles

What is UiPath?

Every company has a stack of work nobody wants to claim: copying data between systems, re-keying invoices, and logging into five different tools to move a single record from A to B. It's the kind of work that gets called "quick" by whoever isn't doing it. UiPath is built for the heaviest end of this kind of work-large-scale, rules-heavy processes inside complex business systems. It's serious software for serious enterprise problems and it does what it does well. But if your workflows live mostly

The 8 best cold email software options in 2026

As a serial email deleter, I know how hard it is to get people to open a cold email. But I've also had the unique privilege (yes, I'm calling it a privilege) of being a sender of cold emails. I know that personalizing hundreds of emails, scheduling sequences, and replying to leads that bite takes time-so much time that doing it manually is impossible once you have a sizable prospect list. Cold email software speeds up and optimizes your outreach. If you're looking to try out a cold email app a

How Amazon Bedrock catches AI-generated phishing

Social engineering through phishing remains one of the most common tactics for launching cyberattacks. AI-generated phishing email messages now pose a new challenge for security teams managing email systems, significantly raising the risk because of their advanced sophistication. Modern social engineers use generative AI and open source intelligence (OSINT) to craft thousands of unique messages [...]

Best practices for multi-turn reinforcement learning in Amazon SageMaker AI

In this post, we share best practices for reliable multi-turn RL training. We cover how to build a training environment you can trust, set up an external evaluation, design a reward aligned with the end task, manage what changes once the agent runs for multiple turns, and monitor the metrics that tell you when to iterate.

How to automate Claude safely with Zapier MCP

I've been playing this game at coffee shops where every time I overhear somebody say they're "building with AI," I take a sip of my cold brew. Suffice it to say, I'm staying caffeinated (and staying up at night). Your IT admins may be losing sleep too, if everyone's handing AI tools like Claude access to their work apps, giving it more chances to do something it shouldn't. You can prevent these mishaps with Zapier MCP, which connects Claude to your tech stack with governance built in. That way,

Acquisitions & M&ARead Summary

13 proven customer acquisition strategy examples (complete guide)

Anyone who's lived in the high desert knows that weeds are no joke out here. Even though I'm a die-hard DIYer, I recently succumbed to hiring a neighborhood kid-I'll call him Dave-to rid my backyard of them. When Dave posted flyers all over the neighborhood at the start of spring, I took the opportunity. The negotiable rate, mission to save for college, and cheery headshot complete with gardening tools and disposable surgical mask promised this would be safe, quality work for a good cause-all a

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Anthropic

More details on Fable 5's cyber safeguards and our jailbreak framework

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The best business automation software in 2026

I make a sandwich every day for lunch, and I've put the mayo, turkey, cheese, and veggies in specific places in the fridge so I can grab them all in one go without opening a single drawer. So far, I've got my sandwich-making prep time down to about 45 seconds. Businesses have a similar mindset when they start pursuing automation, and with the right business process automation (BPA) platform, it's possible to streamline tasks far more complicated than putting together a turkey club. BPA software

Agentic AI Design Patterns: From Architecture to Production

This practical guide to agentic AI design patterns covers validation, governance, context management, error recovery, and cost control in production.

Run NVIDIA Nemotron and OpenAI GPT OSS models on Amazon Bedrock in AWS GovCloud (US)

We're excited to introduce US-based frontier open-weight models in AWS GovCloud (US). With this release, Amazon Bedrock now supports OpenAI's open-weight GPT OSS models (120B and 20B) and NVIDIA Nemotron (Nano 9B v2, Nano 12B v2, Nano 30B, Super 120B) models. In this post, we cover these models and their capabilities, the inference options for data residency, the available service tiers and how to get started.

MCP Server Security: How To Identify and Mitigate Risks

Map MCP server security risks and apply the controls that matter: auth, tool-call scoping, observability, and mitigation strategies.

Choose the Best Vector Databases for AI and RAG Pipelines

Compare the 10 best vector databases for RAG and AI pipelines. Evaluate your options on scale ceiling, metadata filtering, overhead, and architectural fit.

HippoRAG: Neurobiologically inspired RAG using Amazon Bedrock, Amazon Neptune, and personalized PageRank

In this post, we demonstrate how to implement HippoRAG using a comprehensive AWS stack. We use Amazon Bedrock for LLM capabilities, Amazon Neptune for graph database functionality, Amazon Neptune Analytics for advanced graph algorithms including Personalized PageRank, and Amazon Titan Embeddings for vector representations. This implementation showcases how to build and deploy HippoRAG within AWS infrastructure for enterprise-scale applications.

AlloyDB AI Functions - now with revolutionary performance boosts and cost savings

AlloyDB is an AI-native database-it isn't just a passive data store, it intelligently understands and processes your data. With AlloyDB, you get industry-leading vector and hybrid search, near 100% accurate natural language-to-SQL capabilities to build conversational agents, tools to enable you to build with your agentic IDEs of choice, and the ability to bring the intelligence of foundation models like Gemini directly to your data through AI functions. In this blog post, we discuss the massive breakthroughs in AI function processing alongside a suite of brand-new AI functions. But first: what

How Inscribe uses Amazon Bedrock to stop document fraud in seconds

In this post, you will learn how Inscribe developed an agentic AI system using Amazon Bedrock that reasons across documents the way an expert fraud analyst would. With this new agentic AI system, Inscribe now detects tampered, fabricated, and AI-generated financial documents in under 90 seconds. This is a 20x improvement over traditional manual review, while maintaining the accuracy and explainability required by financial services regulations.

Simplify model selection in Amazon Bedrock with the open source Model Profiler

The Amazon Bedrock Model Profiler is an open source tool that aggregates model metadata from multiple AWS APIs and external sources into a single, searchable interface. In this post, you'll learn what the Model Profiler provides, the real-world scenarios it supports, and how to deploy it in your own environment in under five minutes.

Accelerate protein design with BoltzGen on Amazon SageMaker AI

In this post, we demonstrate how to deploy BoltzGen on SageMaker AI and run an end-to-end protein design experiment. By the end of the walkthrough, you have a working setup that scales from quick validation runs to production batch processing. The setup offers two execution modes for different stages of research and uses step-level caching to reduce compute expenses during iterative workflows.

Get started with the Claude apps gateway for Google Cloud

Anthropic's agentic coding tool Claude Code has worked with Google Cloud for a while now. An individual developer could easily point CLAUDE_CODE_USE_VERTEX=1 at a Google Cloud (GCP) project, grant the role roles/aiplatform.user, and inference stays inside your Google Cloud perimeter. That flow works great when it's just you, or a handful of engineers. But rolling it out across an organization forces you to deal with enterprise friction: you have to manage per-developer cloud credentials, push a managed-settings.json to every laptop over MDM, and not be verified with zero per-developer usage at

The 4 best AI search engines in 2026

It often feels like Google search has gotten worse. While the issue is complicated, online search has never felt like such a chore. Not only do you have to hop through numerous links to pinpoint what you're searching for, but you also have to navigate a maze of ads, spam, and pop-ups. Even then, how often do you find the answers you need? AI search engines claim they're the solution, so let's see. The new breed of AI search engines combines the tech behind AI chatbots like ChatGPT with traditio

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Claude 5: What you need to know about Anthropic's AI models and chatbot

Claude is a family of large language models built by Anthropic, a company founded in 2021 by former OpenAI researchers, and also the name of the AI chatbot built on top of those models. The lineup currently includes four variants, Fable (Mythos), Opus, Sonnet, and Haiku, each balancing speed, intelligence, and cost differently. Anthropic guides Claude's development with a constitution intended to keep interactions safe, ethical, and helpful, and the article explains the strengths and pricing of each model.

What is Claude Mythos? And how to see it in action with Claude Fable 5

Anthropic announced Claude Mythos on April 7, 2026, then declined to release it to the public because the model found thousands of serious software security flaws on its own. Instead the company set up Project Glasswing, a limited program that gave roughly 50 partner organizations early access so they could fix bugs before bad actors found them. A near-identical version with safety limits, called Claude Fable 5, went to paying subscribers. Within the first weeks, partners reported finding and patching more than 10,000 high- or critical-severity vulnerabilities.

Lovable vs. Bolt vs. Replit: Which vibe coding tool is best? [2026]

Vibe coding is the spray-and-pray of software development: you start from a prompt, and an AI agent magically turns it into working screens, buttons, and features. Getting to the prototype is super fast, but that's where the problems begin: agents fail to fix complex bugs, delete important code on their own, or ship apps with serious security vulnerabilities. This friction made the hype settle, sure, but it didn't stop committed builders: it's still possible to create a competitive app and grow

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Workato vs. MuleSoft: Which automation platform is best? [2026]

I didn't expect to be comparing Workato and MuleSoft: workflow veterans know they usually show up in slightly different conversations. Workato tends to come up in enterprise conversations about app integration and workflow automation; it's developer-oriented, but built to give business teams more direct access than traditional integration tools. MuleSoft, on the other hand, tends to come up when the conversation shifts to APIs, governance, and connecting a more complex mix of systems-especially

Pipedream pricing: Is credit-based pricing worth it?

In an ideal world, your automation tools don't make you think too hard about cost. You pick a plan, glance at how many tasks you get, and move on. Done. Instead, Pipdedream asks you to think like an engineer. How long does your workflow run? How much memory does it use? How efficient is your code? All of that affects what you pay. Depending on how you look at it, that's either a huge advantage or a fast way to a terrifying line item. So before you commit, it's worth understanding Pipedream's pri

B2B social media marketing: How to build a strategy that converts

I recently came across a LinkedIn post from a B2B software company that opened with: "We're not just a platform. We're a family." It had 847 likes. Eight hundred and forty-seven adult humans looked at that sentence and thought, "Yes, more of this." Moments like that capture everything wrong with B2B social media marketing and everything weirdly, frustratingly right about it. Wrong, because "we're a family" is so familiar, yet so aggressively non-specific. Right, because those 847 people engaged-

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What is demand generation? The complete B2B guide

I did not need a Diet Coke with coconut syrup, fresh lime, and a splash of heavy cream, but that didn't stop me from driving 26 minutes and paying $6.95 plus tip for the privilege of betraying my own taste buds, all because some 23-year-old on TikTok held up a 44-ounce Styrofoam cup, said the words "dirty soda," and rewired something deep in my brainstem. There isn't an ancestral hunger for fountain soda with fruit purée bobbing around in it. Someone installed a craving inside me for a beverage

Introducing Claude Sonnet 5 on AWS: Anthropic's most capable Sonnet model

Today, we're excited to announce the availability of Anthropic's most advanced Sonnet model, Claude Sonnet 5, on Amazon Bedrock and Claude Platform on AWS. Claude Sonnet 5 is the first Sonnet model of Anthropic's latest generation and represents a meaningful step forward. It delivers top-tier intelligence at Sonnet pricing for coding, agents, and everyday professional [...]

Build generative UI for AI agents on Amazon Bedrock AgentCore with the AG-UI protocol

This post walks through how AG-UI integrates into the Fullstack AgentCore Solution Template (FAST) to build interactive agent frontends on Amazon Bedrock AgentCore. We then show how CopilotKit extends this with generative UI, shared state, and human-in-the-loop interactions, all deployed on Amazon Bedrock AgentCore.

Implementing resilience patterns with Amazon Bedrock and LLM gateway

In this post, you will learn five practical patterns for building resilient generative AI applications on AWS, progressing from native Amazon Bedrock features to multi-model orchestration using an LLM gateway. These patterns address real-world challenges such as quota exhaustion during unexpected traffic surges, maximizing availability through geographic distribution of inference, and helping prevent noisy neighbor problems in multi-tenant environments.

Fine-tune Amazon Nova models for accurate email data extraction

In this post, you'll learn how fine-tuning Amazon Nova models using Amazon SageMaker AI addresses these specific issues by teaching the models to recognize your exact data patterns, distinguish between similar fields, and process information more efficiently-achieving up to 94.77% extraction accuracy while reducing costs 50%.

Bringing speed and strong cost performance to the market with Gemini Omni Flash and Nano Banana 2 Lite

Great creative happens when your tools move at the speed of your ideas. To help you create rich, reliable experiences while reducing regeneration time and costs, we're adding two new models to Gemini Enterprise Agent Platform. First, we're announcing the general availability of Nano Banana 2 Lite (Gemini 3.1 Flash-Lite Image). This model is the fastest and most cost-efficient image generation and editing model within the Nano Banana model family. Whether you're rapid-firing ideas, A/B testing ad variations, or powering social apps for millions of users, this model gives you the power to explor

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How Schrödinger sped up molecular discovery by 4x with Alphaevolve

Computational chemistry researchers have traditionally faced a frustrating trade-off when simulating molecular interactions: use fast classical force fields that sacrifice precision or rely on accurate quantum-mechanical methods that run too slowly on large jobs. Machine-learned force fields (MLFFs) close that gap by training neural networks on high-fidelity quantum data. When it comes to modern drug discovery and materials design, though, there's demand for even faster processing speeds to handle massive chemical libraries involved. To overcome such performance constraints, Schrödinger partne

Build agents even faster with Gemini Enterprise Agent Platform's fully-managed, remote MCP server

A couple of months ago, we announced that over 50 Google-managed MCP servers are available. Today, we'll dive into how to use the Gemini Enterprise Agent Platform remote MCP server to securely connect your external AI agents to the resources inside your Google Cloud environment. Connect your IDE to Google Cloud Think of the Agent Platform MCP server as a bridge between your favorite external development tools and your Google Cloud architecture. If you are building an agent in Antigravity CLI or Claude Code, for example, the Agent Platform MCP server allows that agent to securely interact with

What Google Cloud announced in AI this month

This Google Cloud blog post is a monthly recap of the company's AI announcements. The biggest news came from Google I/O, including the Gemini 3.5 model family and Gemini Spark, plus the unveiling of Google AI Threat Defense, an AI-powered cybersecurity platform. The post also rounds up updates across Gemini models, the Agent Platform, Google Workspace and selected thought leadership and technical guides for Google Cloud customers.

The 8 best no-code app builders in 2026

Remember when you had to know how to code to build an app? We've moved on from that world: no-code tools are here to stay, and they're powerful enough to let you build almost anything you can think of without ever typing function(). I've been working with no-code apps for a while, and as a die-hard tinkerer, I have a serious soft spot for them. For this article, I researched and considered over 100 different platforms, exploring each one and then conducting extensive testing on the top contender

The perils of tokenmaxxing: How to govern AI spend without sacrificing speed

I write about tech and AI for a living, but nothing has made me yearn for the Butlerian Jihad more than learning (against my will) about the term "tokenmaxxing." And if I have to know what that means, you do, too. In early 2026, companies started publishing internal leaderboards ranking employees by how many AI tokens they consumed. At Meta, the board was called "Claudeonomics," and it handed out digital badges with extremely not-dorky titles like "Cache Wizard" and "Model Connoisseur." The high

The first reply wins: Meet the builders turning Yelp leads into booked jobs

The 2026 Zappy Awards are open - and this month, we're partnering with Yelp to spotlight something specific: what Yelp advertisers are actually building with Zapier. Turns out, the integration story goes well beyond connecting a form to a spreadsheet. These builders are using Yelp leads as the trigger for systems that route, respond, follow up, and convert - automatically, across multiple locations, at any hour. With 70+ submissions in already, here are two that stood out. Caleb Whalen, Owner, C

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Anthropic

Implement a backup strategy for Amazon Quick Sight BI assets

In this post, we cover best practices for implementing an effective backup strategy for BI assets in Quick Sight. We start by covering the options for selecting the assets to include in your backup, then explain the high-level APIs available for that purpose, and finalize with sample code to help you get started quickly.

Pair Nova 2 Lite with Claude for cost-optimized document processing

In this post, we show how pairing Amazon Nova 2 Lite with Anthropic's Claude Sonnet 4.6 delivers an efficient solution for digitizing scanned documents at scale. We built a two-model pipeline on Amazon Bedrock for digitizing scanned yearbook pages. Amazon Nova 2 Lite handles native multimodal extraction in a single call: detecting photos, extracting visible names with coordinates, and returning page-level metadata. Claude Sonnet 4.6 then performs spatial reasoning to match names to faces based on page layout.

Multi-tenant LLM analytics with row-level security: How we built a secure agent on AWS

In this post, we show you how PAR built a production-ready multi-tenant LLM analytics system that enforces row-level security through a three-layer architecture: cryptographic request signing with AWS SigV4, semantic validation on Amazon Bedrock, and programmatic data isolation via Split-Plane SQL. We demonstrate how each layer operates independently to reduce the risk of cross-tenant data exposure, even when the LLM itself is compromised or manipulated.

Build an agentic AI healthcare claims pipeline with Amazon Bedrock and AWS HealthLake

In this post, we show you how to build an automated claims processing pipeline using two key Amazon Bedrock capabilities: Amazon Bedrock Data Automation for intelligent document extraction from healthcare claim forms, and Amazon Bedrock AgentCore for hosting an AI agent that validates and transforms the extracted data into FHIR (Fast Healthcare Interoperable Resources) resources in AWS HealthLake. You will learn how to combine these services to create an end-to-end workflow that reduces manual processing while maintaining accuracy through automated validation checks.

Debugging production agents with Amazon Bedrock AgentCore Observability

In this post, you learn how to debug production agent failures using built-in observability capabilities. We walk through common failure patterns, show how to analyze agent behavior with traces and metrics, and provide structured workflows for resolving issues such as infinite loops and tool invocation failures. This is Part 1 of a two-part series. Part 2 covers performance optimization and memory management.

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Synthesize the big picture and analyze trends with BigQuery's AI.AGG function

We recently announced the preview of the BigQuery AI.AGG() function. With AI.AGG(), you can use natural-language instructions within a single line of SQL to summarize or synthesize information over millions of rows of unstructured or even multimodal data. Summarize millions of rows with one line of SQL: AI.AGG While BigQuery already offers powerful AI functions that help you analyze individual rows of data, analyzing unstructured data at scale requires a different approach. AI.AGG() lets you ask questions from unstructured data such as logs and documents, for example: What are the top three fe

Cloud CISO Perspectives: How Google Cloud Security uses AI internally

Welcome to the second Cloud CISO Perspectives for June 2026. Today, we're discussing how we use AI to chart a path to autonomous software development lifecycle security. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog. If you're reading this on the website and you'd like to receive the email version, you can subscribe here. aside_block ), ('btn_text', 'Visit the hub'), ('href', 'https://cloud.google.com/solutions/security/board-of-directors?utm_source=cgc-site&utm_medium=et&utm_campaign=FY26-Q2-GLOBAL-GCP39634-email-dl-dgcsm-CISOP-NL-177

8 AI agent use cases and examples in the workplace

As an extremely cool person, I've recently gotten really into Minecraft, the open-world sandbox game that's basically virtual LEGOs. But I've found that the sheer possibility of building anything you want makes it weirdly tricky to actually start. AI agents have a similar problem. The idea of software that can take a goal, make decisions, and do work on your behalf is genuinely compelling. But figuring out which AI agent use cases are actually worth building is where most teams get stuck. To he

How to optimize your vibe coding spend

I've been vibe coding since the beginning of 2025 and have played around with just about all the available options. The premise definitely got me: I can build an app I just dreamed up, without spending a lot of money or taking a lot of time to get to a working product. But the "without spending a lot of money" part is tricky. It's confusing enough that it's left many new vibe coders shouting about scams in the respective subreddits for each of the major vibe coding tools. And to be sure, it's no

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How to improve AI agent performance

Trusting a new AI agent you just released can take time. You run it through your work data, watch it closely for days and weeks, always judging if it's working for you or against you. Just when you're starting to relax and enjoying the productivity boost, the AI provider launches a model update: the responses have now shifted, your instructions get interpreted differently, and you're back to zero trust again. So... progress? Improving AI agent performance is an ongoing process-not a one-time setup

What is agentic AI? And how you can start using it

The idea of AI tools that can be trusted to operate independently has always been exciting-and, for a long time, just out of reach. That's changing: 84% of enterprise leaders now say they're likely or certain to increase AI agent investments over the next 12 months. Not everything marketed as agentic AI actually clears the bar, though. Here, we'll explore what agentic AI really is, how it works, and some real-world examples of agentic AI workflows you can start experimenting with today. Table of

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Meta AI

From Brain Waves to Words: Brain2Qwerty Offers a New Path to Communication Without Surgery

Companies spend six figures on AI-a third of employees don't know it costs anything at all

Every year, someone in finance asks whether the company's AI spend is worth it. Every year, leadership says yes. And every year, the employees actually using the tools have no idea the question was even asked. Now, corporate America is starting to sweat over its AI bill. Microsoft recently canceled most of its Claude Code licenses, in part over costs. Uber's COO said AI expenses are getting harder to justify. One AI consultant reported that a client spent half a billion dollars in a single month

Securing agentic AI with perimeter guardrails: What's new in VPC Service Controls

As enterprises scale autonomous AI agents into production, enabling safe innovation requires robust architectural guardrails. AI agents connect across tools and datasets, so it's essential to establish clear network-level boundaries for comprehensive data protection. To help organizations confidently deploy these workflows, we recommend VPC Service Controls (VPC-SC) to establish an essential network-level, destination-based perimeter. Today we're announcing several new capabilities specifically designed for agentic workloads. What's new in VPC Service Controls Designed to enhance AI security,

AI SafetyRead Summary

Build interactive PDF text extraction from Amazon S3

In this post, you'll build a server that extracts text from PDF files in Amazon S3 in real time. This protocol-based approach provides programmatic document access. You'll walk through the architecture, set up the server, and run interactive document queries. Along the way, you'll compare this approach with Amazon Textract so you can decide which tool fits your workload.

Production-grade AI agents for financial compliance: Lessons from Stripe

In this post, you learn how Stripe built a production-grade AI agent system for financial compliance. We cover the technical architecture of Stripe's ReAct agent framework and the infrastructure decisions behind a dedicated agent service. We also discuss the role of human oversight in maintaining accountability, and key lessons about task decomposition, orchestration patterns, and cost optimization through prompt caching. By the end, you will understand how to design agentic systems that scale compliance operations without compromising quality or auditability.

Build Self-Improving Agent Skills with cognee and n8n

When a review run falls short, this workflow catches it and proposes a fix to the skill, then writes the improved instructions back once you approve the diff.

Retrofit, don't rebuild: Agentic overlays for transforming legacy enterprise services

In this technical collaboration between AWS and the authors, we present a pragmatic solution: agentic overlays. Agentic overlays are thin wrapper layers that transform traditional REST-based services into agents capable of participating in A2A interactions. They also expose REST APIs as tools compatible with the Model Context Protocol (MCP). Together, they let enterprises add A2A capabilities to existing REST services without rewriting business logic, without duplicating code, and without running parallel infrastructures. This reduces agent sprawl in the infrastructure by reusing existing serv

Optimize model training on Amazon SageMaker AI with NVIDIA Blackwell

This post shows you how to configure training jobs on Amazon SageMaker AI to get the most out of Blackwell's architecture on AWS. You learn how to select batch sizes and sequence lengths that take advantage of Blackwell's expanded memory, choose the right precision format for your model size (1B to 64B parameters), and apply activation checkpointing strategically. By the end, you have a practical framework for tuning your training configuration and launching distributed training jobs on P6-B200 instances.

Implementing super resolution by deploying SeedVR2 on Amazon SageMaker AI

In this post, we demonstrate how to implement video upscaling using SeedVR2 on SageMaker AI. We cover the solution architecture, walk through the deployment steps, and show performance comparisons that highlight the quality improvements and processing efficiency you can achieve. By the end of this post, you'll have the practical knowledge needed to implement this super resolution solution.

AI Maturity - The 5-Level Framework

The following framework allows leadership to benchmark their organization across five distinct stages. Each level is assessed across four dimensions: Usage (who is using AI and how broadly), Sophistication (what types of tasks AI handles), Governance (what controls and policies are in place), and Infrastructure (what technical foundations support AI

Code by Zapier: Add custom code to your workflows

With Zapier, you can connect thousands of apps inside a Zap (what we call an automated workflow). Add forms, tables, and the ability to reach your data from any AI tool to the mix, and there's a lot you can do. But sometimes you need more. Maybe Zapier's existing actions or triggers can't quite get you where you need to go. Maybe you're pulling information from App A, but it's not in the right format for App B. Or maybe you have something more involved in mind, like looping through records from

Zapier SDK: Connect your code files to thousands of actions

Right when I perfected my AI chatbot workflows, I found out all the cool kids had already migrated to building with AI coding agents. So I made the switch. And luckily for me, technical builders, and fellow vibe coders everywhere, Zapier SDK launched right on cue. Zapier SDK is a resource that gives AI coding agents access to pre-built app integrations in the Zapier directory. They all run through Zapier's governance layer, so you can build safely while you carry out more than 30,000 actions in

Jun 24, 2026

Huntington Bank: Redacting sensitive data from 400M+ documents with AWS

In this post, we walk through how Huntington built a scalable AWS solution to detect and redact Personally Identifiable Information (PII) and Payment Card Industry (PCI) data from over 400 million documents, reducing processing time from years to just a few months while achieving 95%+ redaction accuracy.

Build a healthcare appointment agent with Amazon Nova 2 Sonic

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 li

AI-powered BI with Snowflake and Amazon Quick

In this post, you will learn how to build an end-to-end integration between Snowflake semantic views and Amazon Quick. The sample data is user review data for a media company. You start by loading movie review data from Amazon Simple Storage Service (Amazon S3) into Snowflake, define a semantic view in SQL to add business meaning, explore it with natural-language queries through Cortex Analyst, and then generate an Amazon Quick dataset and dashboard. The dataset can be created manually or with a provided automation script. By the end, your BI team or AI team can ask natural-language questions

The 9 best AI voice generators

Recording a voiceover is challenging enough. You go through way too many takes to get what you want. You don't have enough time to rehearse and hit your tone and intention targets. You read endless audio editing software guides to make sure your voice sounds good. And even if you nail all of these things, if you don't have access to a studio, your perfect performance will be riddled with background noise. So should you give up and hire a voice actor? Not yet: AI voice generators can deliver impr

Jun 24, 2026

The 8 best AI image generators in 2026

AI image generators have been brewing (generating?) up a storm for the last few years. If you've been on social media, watched prime time news shows, or read a magazine, AI-generated images have been impossible to miss. These kinds of AI-generated images are everywhere, and sometimes you won't even realize. If you want to join in the fun, or add some AI-powered features to your business workflows, the apps on this list will give you what you're looking for. I've been writing about AI image gener

The 5 best AI app builders in 2026

Even using no-code, building a new app can take a big chunk of your time. Setting up data sources requires smart planning and foresight. Building an intuitive user interface takes multiple tries until you find the perfect layout. And tying it all together with bug-free app logic demands attention to detail and many rounds of testing. AI helps in two ways here. The first is by turning your prompt into a first-draft app, speeding up setup. The other is by building solutions with code and placing t

Jun 24, 2026

The 8 best AI presentation makers in 2026

The days of spending hours dragging images to just the right place on a slide are far behind us. You can now create a presentation with AI, giving the robots the job of setting the structure, adding the initial content, and executing on the aesthetics of your deck. All you have to do is tweak it with your information, human insights, and flair-and rehearse it a bit before the big performance. I spent a month testing all the best presentation software, focusing on the ones that use AI in a way t

Jun 23, 2026

Build a protein research copilot with Amazon Bedrock AgentCore

This post shows you how to build a conversational protein research assistant that combines three capabilities: Natural language query parsing to extract structured search parameters, vector similarity search over protein embeddings using a specialized language model and ai-generated scientific summaries of search results.

Jun 23, 2026

Verifiable, private AI: Google Cloud expands Confidential Computing frontiers

Protecting sensitive data used with AI is a critical part of our commitment to providing advanced and secure cloud infrastructure. Confidential Computing cryptographically protects data in use in hardware-based Trusted Execution Environments (TEEs) with verifiable data integrity. We are thrilled to share our latest Confidential Computing innovations across our hardware ecosystem that help further strengthen verifiable privacy in cloud AI deployments. Confidential AI at global scale By scaling our Confidential AI capabilities globally, we help ensure that AI inference and fine-tuning workloads

Building pay-per-intelligence for AI agents: How Ampersend uses Amazon Bedrock AgentCore Payments

In this post, you will learn how Ampersend built a pay-per-intelligence routing layer on top of Amazon Bedrock AgentCore Payments. AI agents autonomously route tasks to the most effective model, pay per request, and operate within spending budgets. You will also see how the two-hop payment pattern works end-to-end and how to get started with your own implementation.

Embed the world: Multimodal AI for searchable aerial imagery at scale

In this post, we walk through the problem space, our architecture on Amazon Bedrock and Amazon OpenSearch Serverless, the evaluation methodology we built on OpenStreetMap ground truth, four experiments that compared embedding models, fusion strategies, captioning, and search methods, and the practical guidance you can apply when building a similar system. You'll learn which design choices move the needle for geospatial semantic search, including why Amazon Nova Multimodal Embeddings delivered the highest F1 scores across both benchmark queries in our evaluation. The work described here evolved

Running ComfyUI workflows on Amazon SageMaker AI processing jobs

In this post, we walk you through how to deploy ComfyUI workflows on Amazon SageMaker AI processing jobs to generate hundreds of high-quality images in a single batch. You learn how to set up the infrastructure using AWS Cloud Development Kit (AWS CDK), configure GPU-accelerated processing, and automate image generation at scale. You can then adapt this solution to your ComfyUI workflows specific to your needs. We will guide you through a practical, step-by-step process to automate ComfyUI workflows to generate hundreds of high-quality images in a single batch empowering you to scale your crea

The 5 best online whiteboards in 2026

Brainstorming works better visually. Sometimes that means a physical whiteboard full of sticky notes-it works. But if your team is spread between multiple offices, or works remotely, you need a virtual whiteboard. These applications take what's great about a physical whiteboard-the freewheeling, visual collaboration-and bring it to your computer screen. You can draw, drag virtual sticky notes around, and even embed images or entire documents. For the past few years, I've tested dozens of onlin

The best CRM software in 2026

Using great software is the first step toward great results. This is true for any app category, and more so for your CRM (customer relationship management) software. As the backbone of your sales, having a robust CRM platform tailored to your processes and clients helps improve results in the long run. But out of so many options out there, which CRM is the best for your business? I considered a grand total of 150 CRMs, from basic solutions to enterprise-ready suites. The 11 you'll find below can

What is AI agent orchestration?

You start with one AI agent to save time. A month later, you've got prompts in a doc, outputs in Slack, half-finished automations in three places, and the same request getting handled a dozen different ways depending on who saw it first. That's what happens when businesses try to "do AI" by building roughly 43 agents with no plan in place to coordinate them. AI agent orchestration solves this problem. Instead of relying on a single, general-purpose AI agent to do everything (which rarely works),

The best integration SDKs in 2026

Say you're building an AI agent that pulls open deals from Salesforce, drafts follow-up emails in Gmail, and posts a summary to a Slack channel. Building the feature itself is the easy part. It's what comes afterward that makes you consider becoming a tech-free hermit in the woods: standing up OAuth flows for three separate APIs, figuring out token storage, handling refresh cycles, and making sure a credential never ends up somewhere it shouldn't. That stuff is all integration plumbing. And if

The best sales forecasting software in 2026

Without sales forecasting software, sales teams can feel like they're conducting a seance: gather a coven of key stakeholders, drop past sales data and future estimations into a technological cauldron, and pray that your predictions come to fruition. Maybe even play "Black Magic Woman" in the background for good measure. Sounds a little fun, but sales forecasting software will give you more accurate estimations, and unlike the cauldron, it'll work well with the rest of your tech stack. To help y

Jun 19, 2026

Accelerate campaign workflow with insights from Adobe Marketing Agent for Amazon Quick

This post shows how to enable Adobe Marketing Agent for Amazon Quick using a Model Context Protocol (MCP). We walk you through how to configure the integration, authenticate using your Adobe credentials, and get the latest insights in Amazon Quick. The sample workflow returns audience rankings, loyalty segment summaries, journey usage, and conflict recommendations.

Monitor and debug generative AI inference with SageMaker detailed metrics and Insights dashboard on CloudWatch

Amazon SageMaker AI provides fully managed real-time inference hosting for machine learning models. You deploy a model to a SageMaker endpoint backed by one or more compute instances, and SageMaker handles provisioning and scaling. SageMaker supports multiple endpoint architectures. This post focuses on the two most relevant to generative AI workloads with detailed observability: Single-model endpoints (SME) and Inference component (IC) endpoints.

Amazon Bedrock AgentCore harness is now generally available: Go from idea to production-grade agent in minutes

Today, Amazon Bedrock AgentCore harness is generally available. Two API calls (CreateHarness to define an agent, and InvokeHarness to run it), and you have an agent running in seconds. The agent runs in its own isolated environment with a filesystem and shell, so it can read files, run commands, and write code safely. It remembers users and conversations across sessions, picks up skills you point it at (including the AWS-curated catalog), browses the web, calls your tools through gateway or MCP, and switches model providers mid-session without losing context. Every step streams back to you in

Zapier vs. Make comparison: Which is best? [2026]

"I want AI to do my laundry and dishes so that I can do art and writing, not for AI to do my art and writing so that I can do my laundry and dishes," said author Joanna Maciejewska in a viral post. It's a common anti-AI objection. Why are we automating away things that are delightful, enriching, and human, while keeping the drudgery for ourselves? Fortunately, with the advent of agents, we're starting to see AI use cases that really do knock out drudgery, like compliance review and help desk ma

The 9 best cloud storage apps in 2026

Phone storage maxed out? Need to back up your computer? Want access to all your files across devices? Does your hard drive look like the digital equivalent of living in your car, files stuffed under the seats, and you're sure that important document is somewhere? For all these situations, you need cloud storage (or maybe a life coach). But which of the billion cloud storage apps is right for you? The best comes down to a lot more than price or terabytes. Do you need HIPAA compliance? Photo auto-

9 Google Forms features you should know about

Google Forms is a simple-to-use form builder app, but there seems to be a perception that it's too simple. Which is unfortunate, because it's a pretty robust tool-if you know how to use it. To demonstrate how powerful it is, here are nine Google Forms features to help you make the most of this app-from collecting and routing responses to building quizzes and customizing your form's look and feel. 9 Google Forms features you should know about Before you get started, head to docs.google.com/form

Context intelligence for your data and AI agents at scale

Agents are only as intelligent as the context they can reason over. Today, that context is scattered across data lakes, data warehouses, lakehouses, databases, and streams, and in institutional knowledge that has never been written down. You want to trust the decisions made by your AI agents, but that can't happen until agents have context. Imagine what becomes possible when we give agents a safe way to access the context they need to deliver trusted decisions. This is why at the AWS Summit New York City, we're announcing a series of innovations that deliver intelligence for your data and AI a

New in Amazon Bedrock AgentCore: Build agents with broader knowledge and continuous learning

Today we're introducing new capabilities on Amazon Bedrock AgentCore, the platform to build, connect, and optimize agents. In this post, we cover how these capabilities close each gap: connecting agents to organizational, web, and paid knowledge; helping teams find and fix what's going wrong in production; and enforcing controls that scale as agents grow more capable. Together, they help you build more capable agents faster, govern them with controls that scale, and improve them continuously.

From AI potential to agentic reality: Driving the UK's next chapter

The United Kingdom, and London in particular, continues to be one of the great hubs for AI development in Europe and the world. We're home to Google DeepMind, of course, as well as significant AI unicorns - and Google Cloud customers - like Ineffable Intelligence, which is today announcing an important partnership with us. A year ago, we joined you for the London Summit to showcase the vast potential of generative AI, including a major investment in upskilling the UK civil service. Today, as we welcome our partners once again to the historic vaults of Tobacco Dock, that potential has become an

How growing UK midsize businesses are building in the AI era

The UK's 5-million-plus small and midsize businesses and enterprises (SMBs) are the backbone of our economy. Today, we're seeing these critical businesses begin to put AI to work, to operate more efficiently, move faster, and ultimately deliver better outcomes for their customers. This shift is driven by tangible day-to-day results. According to recent research from Enterprise Nation published in partnership with Google, 71% of AI adopters surveyed in the UK say the technology helps them save time on routine tasks, and 64% report a direct boost in productivity. On top of this, AI-enabled produ

The 9 best fitness apps in 2026

If you're overwhelmed by the number of fitness apps on the market, you're not alone. There are seemingly a bajillion fitness apps available, and from logging your personal bests to tracking your pickleball wins, each has its own niche. That's great in terms of giving users variety-but when you're scoping out a new app, it can often feel like you're comparing apples to oranges. And staying fit is hard enough; your fitness app should make it easier, not more complicated. As someone who's tried a

How Zapier can minimize your AI spend

You ever watch a hot dog eating contest? It's impressive to see someone wolf down five franks per minute, but you just know the stomach pains are coming. This is the image that comes to mind when I hear about companies tracking how many AI tokens their employees consume, to make sure they're using AI "enough." And even without this kind of performative AI theater, your monthly AI bill might be giving you Joey Chestnut levels of indigestion. If your AI token spend costs more than whatever amount

Connect BrightHire to the rest of your hiring workflow

An interview isn't one task. Now that BrightHire connects with Zapier, teams can automate more of the work around it. Before an interview starts, the team needs the right candidate, position, and schedule records in place. After it ends, the team needs the notes, transcript, summary, tasks, and updates to reach the tools where decisions happen. BrightHire captures the interview intelligence: recordings, transcripts, notes, questions, and conversation analytics. With the new BrightHire integratio

Safeguard your agentic AI applications with the Amazon Bedrock Guardrails InvokeGuardrailChecks API

Today, we're announcing a new API with Amazon Bedrock Guardrails. With this API, you can apply individual safeguards, also referred to as safety checks, at any point in your agentic AI applications without creating guardrail resources. In this post, we walk through how the InvokeGuardrailChecks API works and how to use it to build safe, multi-turn agentic AI applications.

AI SafetyRead Summary

Parallelize speculative decoding with P-EAGLE on Amazon SageMaker AI

This post walks you through how to use P-EAGLE directly within Amazon SageMaker AI. It will demonstrate how to select a compatible model from the SageMaker JumpStart catalog, configure the parallel drafting specifications, and deploy a highly optimized real-time SageMaker AI endpoint to accelerate your generative AI applications.

Employee onboarding automation: A complete guide

Too busy onboarding and offboarding employees to focus on other business-critical processes? Whether you're in HR or IT, it's your job to make sure new employees have the tools they need to kickstart their careers-and to wrap up when they leave. But doing that (on top of your other priority work) can quickly become overwhelming if you're handling these processes manually. With just a few Zap workflows-what we call automations-you can send team notifications about new employees, assign onboardi

How Siemens "slices the elephant," advancing agentic workflows for industrial software development

For technology companies like Siemens, software is the nervous system of factories, energy grids, and transportation networks worldwide. As a global leader in industrial AI, industrial software, and industrial automation, Siemens brings decades of domain expertise across factory and process automation, energy infrastructure, and intelligent transportation - expertise that no off-the-shelf AI solution can replicate. But innovation carries a heavy anchor: legacy code. With codebases spanning hundreds of millions of lines developed for over more than a decade, Siemens faced a challenge that stand

Zapier pricing: Why Zapier is a better value than Make, n8n, and other automation platforms

When evaluating software, pricing is about more than the dollar amount: it's about the return on your investment. One business might fixate on price-per-task, while another might care more about speed to market, reliability, or the ability to scale without hiring. Neither is wrong. But the tools that deliver real business value-consistently, predictably, and at scale-tend to pay for themselves quickly. Zapier is one of those tools. With transparent pricing, powerful built-in features, and the ab

What is a task in Zapier? Everything to know about Zapier's task-based pricing

When my husband and I say we're running to the pet store for "a few things," we both know that's hilariously optimistic. We might go in planning to pick up kibble and maybe refill the treat jar, but there's no way we can resist maxing out our budget on dog toys once we're there. "A few things" doesn't actually tell you much about what's happening. Automation tools can be the same way. They all talk about "tasks" (or executions, or runs, or activities, the list goes on), but if you don't know wha

Meet the first 2026 Zappy Award monthly winners: May 2026

We launched the Zappy Awards in May to find the builders quietly redesigning how work gets done at their companies. We're on the hunt for the people who see a problem, pick up Zapier, and do something about it. We've hit 50 submissions. We weren't expecting the bar to be this high this fast. So we've decided to move up our first monthly wins to start right now! These are the first two monthly winners. Rachael Silvano, Community Strategy Lead at Articulate Rachael manages E-Learning Heroes, a co