Broward County, Florida, and Southern California Edison are using geospatial capabilities and AI to improve infrastructure planning and monitoring, generate new insights, and create regional resilience for communities facing climate challenges today and tomorrow.

Woven – Toyota's investment in the future of mobility — is partnering with Google to leverage vast amounts of data and AI to enable autonomous driving, supported by thousands of ML workloads on Google Cloud’s AI Hypercomputer. This has resulted in 50% total-cost-of-ownership savings to support automated driving.

Mayo Clinic has given thousands of its scientific researchers access to 50 petabytes worth of clinical data through Vertex AI search, accelerating information retrieval across multiple languages.

MSCI uses machine learning with Vertex AI, BigQuery and Cloud Run to enrich its datasets to help our clients gain insight into around 1 million asset locations to help manage climate-related risks.

Orange operates in 26 countries where local data must be kept in each country. They are using AI on Google Distributed Cloud to improve network performance and deliver super-responsive translation capabilities.

Broward County, Florida, and Southern California Edison are using geospatial capabilities and AI to improve infrastructure planning and monitoring, generate new insights, and create regional resilience for communities facing climate challenges today and tomorrow.

Hugging Face is collaborating with Google across open science, open source, cloud, and hardware to enable companies to build their own AI with the latest open models from Hugging Face and Google Cloud hardware and software.

Kakao Brain, part of Korean technology company Kakao Group, has built a large-scale AI language model that is the largest Korean language-specific LLM in the market, with 66 billion parameters. They’ve also developed a text-to-image generator called Karlo.

Broward County, Florida, and Southern California Edison are using geospatial capabilities and AI to improve infrastructure planning and monitoring, generate new insights, and create regional resilience for communities facing climate challenges today and tomorrow.

Contextual is working with Google Cloud to offer enterprises fully customizable, trustworthy, privacy-aware AI grounded in internal knowledge bases.

Mercado Libre is testing BigQuery and Looker to optimize capacity planning and reservations with delivery carriers and airlines to fulfill shipments faster.

Globo, one of Brazil’s largest media networks, is using Service Extensions and Media CDN to fight piracy during live events by blocking pirated streams in real time.

NewsCorp is using Vertex AI to help search data across 30,000 sources and 2.5 billion news articles updated daily.

McLaren Racing is using Google AI to get up-to-the-millisecond insights during races and training to gain a competitive edge.

The Asteroid Institute is using AI to discover hidden asteroids in existing astronomical data. This is a major focus for astronomers researching the evolution of the Solar System, investors and businesses hoping to fly missions to asteroids, and for all of us who want to prevent future large asteroid impacts on Earth.

Workday is using natural language processing in Vertex Search and Conversation to make data insights more accessible for technical and non-technical users alike.

Generali Italia, Italy's largest insurance provider, used Vertex AI to build a model evaluation pipeline that helps ML teams quickly evaluate performance and deploy models.

AI21 Labs offers a BigQuery integration called Contextual Answers that allows users to query data conversationally and get high-quality answers quickly.

UPS is building a digital twin of its entire distribution network, so both workers and customers can see where their packages are at any time.

The Barcelona Supercomputing Center has developed Aloe, a family of fine-tuned open healthcare LLMs built on Meta Llama 3. Aloe features advanced training and inference mechanisms, achieving over 10 accuracy points improvement and setting new standards for ethical performance in healthcare AI through policy alignment and Direct Preference Optimization, leading to state-of-the-art results for open healthcare 7B LLMs.

Elyza, a Japanese AI startup, uses Meta Llama 2 to develop a Japanese large language model designed for advanced natural language processing applications, including language translation, chatbots, and text generation, thereby enhancing AI-driven communication and language services in Japan.

Tune AI is a fine-tuning and deployment platform assisting large enterprises. For an information services enterprise, Tune AI selected Meta's Llama 3 to index a massive 7B+ page digital library, reducing costs from $18 to $0.60 per document and processing time from 1 hour to 7 minutes, achieving a 99% accuracy rate, significantly enhancing efficiency and cost-effectiveness.

Taiwan LLM is a pioneering large language model focused on Traditional Chinese used in Taiwan. Built on Meta Llama 2, it incorporates cultural context and advanced pre-training on comprehensive datasets, enabling it to understand linguistic nuances and cultural references, thus revolutionizing Traditional Chinese language processing in NLP applications.

Typeform uses GPT-3.5 and GPT-4 to create Formless, a dynamic AI-powered platform that replaces traditional forms with conversational data collection. The AI adapts to responses, allows for two-way conversations, supports multiple languages, and integrates data from various sources for analysis and actionable insights.

Zelma, powered by OpenAI’s GPT models, makes education data accessible to parents, teachers, administrators, and policymakers across the U.S. It integrates standardized test data, giving insights on student performance in ELA and math. Zelma uses function calling to generate visual data displays and provides SQL logic for verification. It also makes all questions public to facilitate learning from others.

Viable uses GPT-4 to analyze qualitative data from platforms like Zendesk and Intercom at scale, providing businesses with actionable insights to improve customer support, reduce churn, and optimize product roadmaps. The AI model fine-tunes analysis for unstructured data, offering context-rich insights that surpass traditional summarization tools.

BNP Paribas, the leading bank in the European Union, uses Mistral's AI models for Global Markets use cases, achieving very positive results. Due to this success, they plan to expand collaboration across the entire group in 2024, exploring a broader range of applications to enhance various business operations.

Mirakl, the world leader in SaaS marketplace management, integrated Mistral's models into their "Catalog Transformer" to automate product onboarding for sellers. Handling around 10 million new products monthly, this improved operational efficiency and maximized catalog performance, ensuring an optimal user experience.

ML Commons has integrated Meta's Llama 2 70B parameter model into version 4.0 of its MLPerf Inference benchmark. The published results demonstrate the performance potential of various platforms for running one of the most demanding and capable large language models, highlighting the efficiency and scalability of Meta’s Llama 2 in high-performance computing environments.

Superinsight, a data analytics company, integrated Mistral AI on AWS Bedrock to enhance its data analytics capabilities. This provides clients with powerful tools to unlock the full potential of their data, delivering cutting-edge AI capabilities.