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This post is co-written with Ry Rainey and Graham Gibson from Pixieset. Photographers and artists are among the most skeptical audiences for generative AI. They have watched it threaten their craft and flood their industry with synthetic work. A 2025 MIT study found 95% of enterprise Generative AI pilots deliver zero measurable returns. Pixieset is […]

This post is co-written with Mark Himelfarb and Garrett Wilkerson from First Orion. First Orion’s engineering teams were shipping faster than quality assurance (QA) could test, until Amazon Nova Act transformed QA automation. As a branded communications company whose solutions reach hundreds of millions of phone calls across carriers in the US, Canada, UK, and

AI administrators deploying Claude Code and Claude Desktop across their workforce need centralized controls over authentication, model access, cost attribution, and spend enforcement. These controls reduce operational overhead and apply governance consistently at scale. Claude apps gateway provides a self-hosted governance layer between these applications and Amazon Bedrock or Claude Platform on AWS. Building on

To power up AI workflows on Amazon Elastic Kubernetes Service (Amazon EKS), data scientists need interactive IDEs like JupyterLab and Code Editor. Yet running those IDEs usually means leaving the cluster that hosts their pipelines, moving to a standalone JupyterHub deployment or a local laptop. That switch leaves them without the GPU nodes, shared storage,

nOps, an AI-powered cloud optimization solution, recently reimagined its Financial Operations (FinOps) analytics capabilities by transitioning to Amazon Bedrock AgentCore. Amazon Bedrock AgentCore is a service to build, connect, and optimize agents at scale, with any framework or model. The new foundation helps nOps better serve customers managing commitment optimization across Amazon Web Services (AWS),

Learn how new AI and agentic experiences across Google Ads and Google Analytics can simplify your marketing workflow. ​ 

Prior authorization is the approval process health plans require before covering certain medical services or medications. It remains one of the most manual processes in healthcare, not because the medical reasoning for requiring approval is flawed, but because the policies that govern it are trapped in static, unstructured formats that resist automation. This content is

This is a guest post co-written with Vitaly Omelchenko from the TReNDS Center at Georgia State University. At the Center for Translational Research in Neuroimaging and Data Science (TReNDS), a joint center of Georgia State University, Georgia Institute of Technology, and Emory University, we develop and apply advanced analytical methods and neuroinformatics tools for brain

As the National Hockey League (NHL) regular season enters its final stretch each spring, one question dominates the minds of hockey fans: has my team clinched the playoffs? The answer is often surprisingly hard to discern. With 32 teams, complex tie-breaking rules, and hundreds of remaining games, determining whether a team is mathematically guaranteed a

Before AI agents, it was generally sufficient for access controls to treat each action as an independent event. Applications relied on deterministic business logic to enforce whether actions happened in the right order or whether the data was up-to-date. AI agents behave in fundamentally different ways than traditional applications. They decide at runtime which tools