Turning Conversation Into Action (Palantir CSE #2) Anchoring AI Agents Into the Enterprise Editor’s Note: This is the second in a three-part blog series about Palantir’s AI-enabled Customer Service Engine. Part 2: Implementation In Part 1 of this three-part blog series, we explored the agentic architecture of the Customer Service Engine (CSE) through the lens of a …
This post is co-written Rodrigo Amaral, Ashwin Murthy and Meghan Stronach from Qualcomm. In this post, we introduce an innovative solution for end-to-end model customization and deployment at the edge using Amazon SageMaker and Qualcomm AI Hub. This seamless cloud-to-edge AI development experience will enable developers to create optimized, highly performant, and custom managed machine …
With the advent of generative AI and machine learning, new opportunities for enhancement became available for different industries and processes. During re:Invent 2023, we launched AWS HealthScribe, a HIPAA eligible service that empowers healthcare software vendors to build their clinical applications to use speech recognition and generative AI to automatically create preliminary clinician documentation. In …
This paper presents Wally, a private search system that supports efficient semantic and keyword search queries against large databases. When sufficiently many clients are making queries, Wally’s performance is significantly better than previous systems. In previous private search systems, for each client query, the server must perform at least one expensive cryptographic operation per database …
This post was co-written with Lucas Desard, Tom Lauwers, and Sam Landuydt from DPG Media. DPG Media is a leading media company in Benelux operating multiple online platforms and TV channels. DPG Media’s VTM GO platform alone offers over 500 days of non-stop content. With a growing library of long-form video content, DPG Media recognizes …
The majority of organizations don’t feel ready for the AI era. In fact, 62% say they don’t have the expertise they need to unlock AI’s full potential.1 As the leader of learning for Google Cloud, the only thing that surprises me about that number is how low it is. I meet with customers every day, …
While server-side Large Language Models (LLMs) demonstrate proficiency in tool integration and complex reasoning, deploying Small Language Models (SLMs) directly on devices brings opportunities to improve latency and privacy but also introduces unique challenges for accuracy and memory. We introduce CAMPHOR, an innovative on-device SLM multi-agent framework designed to handle multiple user inputs and reason …
Conducting assessments on application portfolios that need to be migrated to the cloud can be a lengthy endeavor. Despite the existence of AWS Application Discovery Service or the presence of some form of configuration management database (CMDB), customers still face many challenges. These include time taken for follow-up discussions with application teams to review outputs …
Read more “Accelerate migration portfolio assessment using Amazon Bedrock”
We recently hosted our annual Google Cloud Startup Summit, and we were thrilled to showcase a wide range of AI startups leveraging Google Cloud, including Higgsfield AI, Click Therapeutics, Baseten, LiveX AI, Reve AI, and Vellum. As a former co-founder and venture capitalist, I was inspired by the remarkable solutions these startups are developing and …
Read more “Founders share five takeaways from the Google Cloud Startup Summit”
Optimal transport (OT) has profoundly impacted machine learning by providing theoretical and computational tools to realign datasets. In this context, given two large point clouds of sizes nnn and mmm in Rdmathbb{R}^dRd, entropic OT (EOT) solvers have emerged as the most reliable tool to either solve the Kantorovich problem and output a n×mntimes mn×m coupling …