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.

Technogym integrated Google Cloud’s generative AI services including Gemini, Vertex AI, and BigQuery to analyze vast amounts of user data stored in Cloud Storage, enabling the creation of hyper-personalized workout, nutrition, sleep, and mindfulness programs. The AI-powered Technogym Coach is embedded into their digital ecosystem, streamlining fitness planning and enhancing customer engagement across both physical and digital channels.

Snowdrop revamped its merchant reconciliation process by migrating its MRS API to Google Cloud to drive global scalability and cost efficiency. They integrated BigQuery with Vertex AI to automate manual background research for enriching transactional data, using hyper-localized merchant information from the Places API to verify and match transactions. Cloud Service Mesh and Google Kubernetes Engine streamlined deployment across regions, transforming onboarding and data processing workflows.

Five Sigma developed Clive, the insurance industry’s first AI claims adjuster that integrates with legacy claims systems to automate claim intake, analysis, and processing. It leverages Google Cloud’s Vertex AI with Gemini models to analyze both structured and unstructured data and employs LangChain for its conversational interface along with LangSmith for automated testing and continuous improvement. This implementation transforms claims handling workflows, enabling adjusters to make faster, more accurate settlement decisions.

Credem Bank launched the AI Next project to integrate AI into its banking operations by leveraging Google Cloud’s integrated ecosystem for predictive maintenance, fraud detection, IT optimization, and enhanced online security. The bank further established the Officine Credem Project as a collaborative hub with startups, universities, and partners to develop innovative products and streamline customer service and internal workflows.

Twilio integrated AI-driven automation powered by Google Cloud to transform its customer engagement platform. They incorporated advanced natural language processing and self-service automation into their contact center workflows, enabling real-time, context-aware support. This implementation streamlined customer support processes, reducing manual intervention and accelerating response times.

Connected-Stories built an AI creative assistant leveraging Google Cloud's Gemini to analyze creative briefs and generate sophisticated content strategies. The system integrates Vertex AI for model processing, Imagen and PaLM 2 for generating visuals and text, ensuring multimedia content meets brand guidelines. It streamlines the creative workflow end-to-end by integrating first-party data and real-time performance tracking, driving personalized content at scale.

Dunelm implemented a generative AI-driven product discovery solution by replacing its traditional search engine with Google Cloud’s Vertex AI Search for Retail on its website. This integration leverages advanced AI to analyze customer queries and deliver personalized product recommendations, automating the search process and enhancing the online shopping journey.

Apollo is built using a neuro-symbolic architecture that replaces traditional transformer models by merging generative AI with rule-based symbolic reasoning for transparent decision-making. It converts unstructured inputs into a structured interaction state and incorporates continuous human feedback for daily fine-tuning, ensuring precise tool activation and compliance. This innovative implementation streamlines conversational agent workflows and enhances overall reliability.

Lytehouse implemented an AI-based video intelligence system that transforms live CCTV feeds into actionable workplace safety insights by leveraging advanced computer vision, machine learning algorithms, and generative AI agents. They integrated large language models to enable natural language queries and collaborated with Google Cloud via the Vertex AI platform to deploy customized security agents that automate risk detection and alert workflows across existing camera networks.

Priceline integrated advanced AI algorithms with real-time travel data and customer behavior analysis to deliver dynamic pricing and personalized travel recommendations. They implemented these AI-driven techniques across their booking platforms, including web and mobile channels, to optimize pricing strategies and ensure travelers receive competitive deals.

Palo Alto Networks is using Gemini to create a grounded AI assistant for 24/7 security platform support to improve agent efficiency and response time.

Urmobo, a mobile-device management platform, created a virtual agent, Odin, that significantly improved user experience and reduced support tickets by enabling clients to interact with the platform using natural language.

Fiserv, a developer of financial services technology, can now summarize threats, find answers, and detect, validate, and respond to security events faster with the Gemini in Security Operations platform.

Adore Me uses Gemini for Workspace to write differentiated product descriptions in one hour.

Globo, the largest media group in Latin America, is using Google Cloud’s AI to hyper-personalize content for its streaming users, and create a better experience for spectators.

Square Enix, a Japanese video game publisher, is using Google’s AI solutions and its own customer data to develop AI-optimized marketing assets to keep its gamers engaged, sharing personalized emails suited to each player’s preferences.

NetRise developed Trace to provide software supply chain security by introducing AI-powered intent-driven searches, allowing users to search their assets based on the underlying motives or purposes behind the code and configurations rather than solely relying on signature-based methods.

Radisson Hotel Group personalized its advertising at scale in collaboration with Accenture and using Vertex AI and Gemini models, training them on extensive datasets stored in BigQuery.

Jasper trains its suite of creativity-, writing-, and marketing-focused AI models on Google’s AI infrastructure, delivering on-brand, data-optimized assets faster and at scale to teams large and small.

Puma uses Imagen (Google’s image generator) to customize product photos on its website, ensuring they’re locally relevant across markets.

The World Bank is developing a tool to extract key information from research literature on the causal impact of development interventions.

Exabeam has built a generative AI copilot for security analysts into its New-Scale Security Operations Platform.