704 Apps implemented an AI solution using Vertex AI and Gemini 1.5 Pro to automate and accelerate driver identity verification and safety monitoring. They integrated these AI models into their existing cloud infrastructure built on Firebase and Google Kubernetes Engine, centralizing real-time data for document validation and audio sentiment analysis. The system alerts the central monitoring team when risk-related language is detected, streamlining operational decision-making and enhancing security.

OPPO integrated Google Cloud’s Vertex AI, AutoML, and Gemini large language model into its mobile devices to automate user feedback analysis, power AI Recording Summary features, and enable AI Toolbox functionalities such as AI Writer and AI Reply. They re-engineered their hardware platform, operating system, and third-party ecosystem to embed AI agents that optimize power consumption and reduce computing latency, streamlining mobile development workflows and enhancing user experience.

Dataïads built an AI-powered “Post-Click Experience” system that automatically generates personalized landing pages by analyzing user context such as ad origin, product type, and behavior. The solution is implemented by integrating API access from Google Ads with Google Cloud managed services (Cloud Run and BigQuery) for automated scaling and controlled cost management, while planning to incorporate Vertex AI for further optimization. This implementation directly enhances ad campaign management and improves ecommerce conversion processes.

Wited revamped its learning platform by partnering with Google Cloud and Axmos Technologies to migrate from legacy systems to a robust infrastructure using Cloud SQL, Cloud Storage, Compute Engine, and Google Kubernetes Engine, ensuring reliable scalability and stability for high user demand. They then integrated generative AI by deploying Gemini and Vertex AI to power Max AI—a 24/7 virtual assistant that supports students through real-time assistance and educational guidance—thereby streamlining support processes and enabling the team to focus on innovation.

Fairtility developed its AI-powered IVF solution, CHLOE, leveraging Google Cloud’s robust infrastructure to analyze thousands of data points daily for insights on embryo and egg viability. The system is implemented across 100 global clinics with remote deployment and near real-time updates, streamlining operational workflows and aiding embryologists with faster, data-informed treatment decisions.

Mystifly partnered with Google Cloud to develop Mystic, an AI-powered chatbot that leverages Vertex AI Agent Builder to understand complex airline industry queries. They implemented an internal system by indexing PDFs stored in Google Cloud Storage into an unstructured datastore for quick retrieval and integrated Dialogflow CX with Cloud Functions for seamless escalation. This solution automated customer onboarding and support workflows for their SSP Manager platform by enabling travel agents to resolve configuration questions independently.

The Warriors overhauled their IT and data infrastructure with Google Cloud, integrating 30+ fan-facing data sources and analyzing over 100M data points to build a custom mobile app using App Engine and Firebase for a personalized digital fan experience. They implemented Gemini for Google Workspace to automate repetitive administrative tasks, streamlining internal processes and saving 41 hours per employee annually. Additionally, they are exploring Vertex AI to integrate natural language search with BigQuery, enhancing data-driven decision-making for both team performance and fan engagement.

trivago integrated Google Cloud’s Vertex AI Search into its hotel discovery platform, enabling users to search using natural language with advanced LLMs. The AI was tailored to interpret free-text queries and integrated into existing search workflows to deliver personalized hotel recommendations. This reconfiguration improved search accuracy and user efficiency by transforming traditional, rigid search parameters into an intuitive discovery process.

Commerzbank partnered with Google Cloud to automate its financial advisory documentation process by integrating a multi-step generative AI pipeline. They implemented a user-friendly frontend and Java Spring backend to import and chunk client call recordings stored on GCP, which were processed using Gemini 1.5 Pro for diarized transcription, fact extraction, and summary generation, with quality assurance provided by Vertex AI Gen AI Evaluation Service. This automation streamlined the regulatory documentation workflow, enabling sales advisors to focus on high-value client engagements.

apree health adopted Google Workspace to centralize data access management and secure sensitive patient data by consolidating disparate security systems into a unified admin console. They implemented a zero-trust strategy with granular access controls, endpoint management, and integrated Gemini for Google Workspace to streamline document creation and collaboration across development and patient care. The migration, supported by SADA, involved transitioning over 1,200 employees and providing extensive training to facilitate a smooth change management process.

Moveo.AI centralized its LLM training on Vertex AI by consolidating its multi-cloud approach, leveraging A3 VMs powered by NVIDIA H100 GPUs to fine-tune large language models tailored for customer experience. The implementation integrated Dynamic Workload Scheduler for auto-scaling and optimized resource management, streamlining secure and efficient virtual agent operations.

Thoughtworks implemented an AI-powered enterprise event planning solution leveraging Google's Gemini Pro multimodal capabilities. The system analyzes historical data, regional event schedules, customer shopping insights, and enterprise strategic guidance to automatically generate a personalized event calendar complete with campaign details, promotion types, image assets, and recommended schedules. Marketing teams interact with an integrated AI assistant to review, adjust, and approve event proposals, significantly streamlining their planning process.

Globant implemented an AI-powered video search solution that processes uploaded videos in Google Cloud by automatically generating detailed embeddings from frame analysis, transcriptions, and scene descriptions. The system then indexes these embeddings in a vector database, enabling both text and image-based queries to retrieve specific content within seconds. This solution enhances media content management processes for producers, editors, and researchers by drastically reducing manual search efforts.

Copel integrated Gemini Pro 1.5 to power a virtual agent that directly interfaces with their on-premises SAP ERP system using Google Cloud’s Cortex Framework along with Vertex AI, BigQuery, Dataplex, and Open Data QnA. The agent processes natural language queries from employees to deliver real-time insights, replacing manual data extraction and processing workflows. This integration improved data democratization and significantly accelerated decision-making across the enterprise.

Banestes migrated its on-premise systems to Google Workspace in a multi-phase transition executed in partnership with IPNET, which included workshops, video trainings, and a custom Google Sites library to onboard over 2,600 users. They leveraged AppSheet to develop 8 internal applications that automated 6 manual processes—resulting in a 70% reduction in support calls—and integrated Gemini AI to expedite document analysis for credit and compliance, thereby streamlining email, chat, and videoconference workflows.

Hydro Ottawa, a major electricity provider for Canada’s capital, implemented Google Workspace and Gemini to improve collaboration, create job posts, conduct legal and technical research, write policies, generate content, summarize documents, and organize meeting agendas across all teams.

Vimeo integrated Google Meet’s AI-driven note-taking and summarizing capabilities by implementing Gemini for Google Workspace across its videoconferencing and collaborative document platforms. They rolled out Google Docs, Sheets, and Slides company-wide to support simultaneous multi-user editing and integrated these tools with Google Meet to automatically generate meeting notes and action items. This implementation streamlined internal meetings and enhanced overall project collaboration across teams.

Trace One implemented AI by integrating Google Vertex AI to automatically extract information from technical sheets and regulatory documents, map data between diverse systems, and compare texts and images for packaging compliance. The solution was developed following a successful proof-of-concept and then scaled into production using Google Cloud’s managed services, simplifying system integration and reducing operational complexity. This deployment streamlined their PLM and compliance update processes, minimizing manual intervention and optimizing accuracy.

Citi partnered with Google Cloud to migrate multiple workloads and applications to its secure, scalable infrastructure, integrating Vertex AI to enable generative AI capabilities for developer toolkits, document processing, and customer service workflows. This multi-year strategic initiative modernizes core IT systems, streamlines employee workflows, and enhances high-performance computing for Citi’s Markets business.

L’Oréal built GenAI as a Service by developing a comprehensive set of declarative generative AI APIs accessible via its internal L’OréalAPI portal, enabling developers to integrate advanced AI features without worrying about LLM connectivity or billing complexities. Using Google Cloud Run for scalable, serverless deployment and integrating LangChain to connect with LLMs like Gemini Pro 1.5, the solution supports prompt completion, chat with memory, and image generation. This implementation streamlines internal workflows across multiple departments while ensuring robust data security and governance.

BMW Group, in collaboration with SORDI.ai and Monkeyway, deployed a generative AI system that scans a wide range of industrial assets and uses Vertex AI to produce detailed 3D digital twins. This automated solution replaces the slow, manual asset mapping process, enabling rapid simulation of multiple industrial scenarios to optimize planning and supply chain efficiency.

Adore Me, a direct-to-consumer lingerie brand known for its extended sizing, uses Gemini for Google Workspace to streamline copywriting and foster creativity. The team reduced over 35 hours of work creating product descriptions to just 30 minutes by leveraging a prompt library. They also use Gemini for speaker bios, enabling users to fill in key details for automated output. Internal "prompt-off" competitions teach employees how to effectively use AI tools, embedding AI into the company culture.

Pennymac, one of the largest lenders and mortgage servicers in the US, leverages Gemini for Google Workspace and Vertex AI to enhance efficiency while ensuring data security. The HR team uses Gemini for drafting job descriptions and policy documents, while technical teams use Gemini with proprietary data to improve the underwriting process by querying regulations and best practices.

Pepperdine University uses Gemini for Google Workspace to enhance accessibility and collaboration across campuses. Faculty leverage generative AI for custom lesson plans and research support, while administrative teams use it for tasks like creating meeting minutes and custom images for presentations. Live captioning and translation features in Google Meet address language barriers, fostering equity and accessibility for students.

Flashpoint uses Gemini for Google Workspace to improve efficiency and productivity across its workforce, allowing employees to focus on the work that counts. They incorporate generative AI into workflows to enhance communication, ideation, research, and coding.

Understood.org integrated Gemini for Google Workspace across Sheets, Drive, Docs, and Gmail, leveraging the Gemini side panel to provide real‐time AI support for drafting emails and managing documents. This implementation improved internal workflows by enabling neurodivergent employees to work faster and reduce anxiety, thereby saving hours on projects and boosting morale.

Incubeta implemented Gemini for Google Workspace, using AI-powered tools like Help Me Write and Gemini Search to reduce time spent on tasks like client prep, email and document creation, and market research, allowing employees to focus on higher-value activities.

Suzano partnered with Google Cloud and Sauter Digital to develop VagaLúmen, a platform that enables natural language queries on its SAP Materials data hosted on BigQuery. They implemented Cortex Framework to populate material views and employed Gemini Pro 1.0 to convert employee queries into SQL commands, automating data retrieval and reducing manual tasks. This integration streamlined internal data access workflows for 50,000 employees in sustainable materials management.

Sabre migrated its 17 on-premises data centers to Google Cloud, moving over 40,000 servers, 400,000 CPUs, and 50 petabytes of storage to harness advanced machine learning for travel intelligence. Working with Google, it infused AI into its existing products and launched new offerings under Sabre Travel AI—including Upgrade IQ, SabreMosaic, and SynXis Concierge.AI—to predict disruptions and tailor travel offers. This transformation streamlined revenue management, booking workflows, and customer support across airlines, hotels, and travel agencies.

Plenitude harnessed Google Cloud’s OCR and PaLM models alongside Document AI to automatically extract data from energy bills and verify customer IDs. They implemented a cloud-based workflow using Vertex AI Platform to integrate with its registration systems and automate identity checks, effectively streamlining customer onboarding and fraud prevention processes.