As companies increasingly adopt generative AI applications, AI agents capable of delivering tangible business value have emerged as a crucial component. In this context, integrating custom-built AI agents within chat services such as Slack can be transformative, providing businesses with seamless access to AI assistants powered by sophisticated foundation models (FMs). After an AI agent …
The explosion of digital content from social media, smartphones, and other sources has created a massive amount of unstructured data like images, videos, and documents. To help you analyze this data, BigQuery is connected with Vertex AI, Google Cloud’s powerful AI platform, so you can use advanced AI models, like Gemini 2.5 Pro/Flash, to understand …
Read more “Introducing AI.GENERATE_TABLE: creating structured data from gen AI models in BigQuery”
Introducing Veo 3 and Imagen 4, and a new tool for filmmaking called Flow.
Enterprises—especially in the insurance industry—face increasing challenges in processing vast amounts of unstructured data from diverse formats, including PDFs, spreadsheets, images, videos, and audio files. These might include claims document packages, crash event videos, chat transcripts, or policy documents. All contain critical information across the claims processing lifecycle. Traditional data preprocessing methods, though functional, might …
Read more “Build a domain‐aware data preprocessing pipeline: A multi‐agent collaboration approach”
Today, we are introducing the next wave of generative AI media models on Vertex AI: Imagen 4, Veo 3, and Lyria 2. We’ve already seen customers generate stunning, photorealistic images with Imagen 3, Google’s image generation model. Customers have taken these images and transformed them into high quality videos and assets with Veo 2. We’ve …
Read more “Expanding Vertex AI with the next wave of generative AI media models”
This blog post is co-written with Jonas Neuman from HERE Technologies. HERE Technologies, a 40-year pioneer in mapping and location technology, collaborated with the AWS Generative AI Innovation Center (GenAIIC) to enhance developer productivity with a generative AI-powered coding assistant. This innovative tool is designed to enhance the onboarding experience for HERE’s self-service Maps API …
Monitoring food intake is a key factor in maintaining a balanced diet, but traditional documentation can be cumbersome and ineffective. Oviva set out to change this. That’s why we developed an AI-powered meal logging app that simplifies the meal logging process and enhances the quality of feedback people receive, helping them make better dietary decisions. …
Read more “Oviva builds AI meal logging app with Google Cloud”
Current Large Language Models (LLMs) are predominantly designed with English as the primary language, and even the few that are multilingual tend to exhibit strong English-centric biases. Much like speakers who might produce awkward expressions when learning a second language, LLMs often generate unnatural outputs in non-English languages, reflecting English-centric patterns in both vocabulary and …
Businesses are constantly evolving, and leaders are challenged every day to meet new requirements and are seeking ways to optimize their operations and gain a competitive edge. One of the key challenges they face is managing the complexity of disparate business systems and workflows, which leads to inefficiencies, data silos, and missed opportunities. Generative AI …
Organizations depend on fast and accurate data-driven insights to make decisions, and SQL is at the core of how they access that data. With Gemini, Google can generate SQL directly from natural language — a.k.a. text-to-SQL. This capability increases developer and analysts’ productivity and empowers non-technical users to interact directly with the data they need. …
Read more “Getting AI to write good SQL: Text-to-SQL techniques explained”