Category: Artificial Intelligence

Media and entertainment (M&E) companies face unprecedented challenges in today’s digital landscape. The pressure to deliver more content faster, while reducing costs and enhancing audience experiences, demands an innovative mindset and creative solutions. To examine these challenges, we hosted a moderated panel webinar, Maximizing transformation with generative AI in media and entertainment, featuring industry innovators.

This post is going to introduce the overall architecture of DataRobot AI Platform and also demonstrate how you can build a GenAI application, from LLM selection, prompt testing and model evaluation to Retrieval Augmented Generation (RAG), LLM monitoring and guardrails. Everything has been combined into one unified DataRobot AI platform with a streamlined user experience.

I recently moderated a webinar exploring AI’s transformative potential in banking. I was joined by Huard Smith, Principal Analyst at Forrester, who examined how data, AI, and innovation are reshaping the industry. This post highlights the key takeaways from the webinar, including the panel discussion.

In this post, we’ll show you how to enable seamless authentication to Amazon Q Developer using existing JumpCloud credentials. We’ll explain the steps for subscribing to JumpCloud, configuring it as an external IdP within AWS IAM Identity Center and enabling automatic user provisioning.

In part one of this three-part blog post series on AWS Partner offerings for generative AI in AWS Marketplace, we will explore available core and infrastructure software offerings.

In this post, Ramya and I introduce you to the new SPG dashboard as a single pane of glass for your Marketplace transactions. You can view this dashboard without having AWS Identity and Access Management (IAM) permissions or technical proficiency on the underlying AWS services. We show how you can use the SPG dashboard for a simplified view of your AWS Marketplace subscriptions for spend management and usage tracking.

In this blog post, we introduce you to Glean – an enterprise-ready search and knowledge discovery solution that’s tailor-made for the enterprise workplace. Glean has been adopted by leading enterprise customers, including Databricks, Okta, and Grammarly, to solve their internal search and knowledge discovery needs. Now available in AWS Marketplace, Glean uses powerful large language models (LLMs) hosted by Amazon Bedrock to deliver generative AI solutions to the millions of customers building on AWS.

In this post, we will show how it may be possible to avoid wastage and better forecast food needs using PredictHQ’s dataset with  Amazon Forecast and other machine learning services.

In this blog post, Sandeep, Malini, Bakha, and Aparna will show how to convert your healthcare data to FHIR format and load it into AWS HealthLake using HiPaaS FHIR data converter solution. This solution enables you to access and manage the data from various sources without the need for manual data entry or reconciliation.

In this post, Brian, Snehanshu, and I’ll show you how to mask healthcare data for regulatory compliance using Amazon HealthLake and DataMasque.