Broadcom migrated its software solutions to the cloud via a strategic partnership with Google Cloud, integrating Vertex AI into its security product portfolio to create SymantecAI. They implemented advanced AI models to analyze massive volumes of endpoint telemetry and DLP signals, identifying patterns for proactive threat detection and faster remediation. This integration streamlined security operations and customer support processes, enabling more accurate and rapid threat response.

Agnostic Intelligence leveraged Microsoft Azure OpenAI Service and Azure Cognitive Services to build an AI-driven platform that delivers real-time insights for supply chain risk management. They integrated advanced machine learning and AI analytics to replace manual Excel questionnaires and lengthy email communications, streamlining risk assessments and compliance processes. The solution connected disparate systems via a digital control tower, enabling IT managers to focus on innovation and quality assurance.

Trimble transitioned to a cloud-based Google Workspace solution to eliminate on-premise licensing issues and unify its various acquired organizations under a single, secure platform. They integrated Gemini for Google Workspace into daily workflows to provide AI-powered features such as document search, summarization, and coding support, thereby streamlining global communication and IT security management.

GoTo Group partnered with Microsoft Indonesia to integrate GitHub Copilot into its engineering workflow. They implemented the AI tool within developers’ IDEs to provide real-time code suggestions, conversational assistance, and syntax error corrections, thereby streamlining code writing and reducing repetitive tasks. The rollout involved close collaboration with Insight and iterative feedback from nearly 1,000 engineers to optimize software development processes.

Atomicwork built an AI-powered digital workplace platform that integrates a conversational assistant with modern service management and workflow automation to handle tasks such as password resets, software provisioning, and incident response. The solution was implemented through deep integration with Microsoft Teams and the Microsoft 365 ecosystem, leveraging Azure and OpenAI capabilities to transform IT, HR, onboarding, and compliance processes. This cohesive system replaces disjointed self-service portals and manual ticketing, enabling faster, more personalized employee support.

Gorilla Logic's development team is experimenting with Claude for code assistance and problem-solving.

NewPush integrated Gemini for Workspace from Google across various teams to standardize and secure email, document, and collaboration workflows using Google Cloud’s hierarchical access controls. They implemented AI-driven automation to analyze numerous cybersecurity feeds and generate a weekly threat newsletter, while also supporting teams in research, code drafting, and creative content. This integration streamlined routine cybersecurity monitoring and allowed experts to dedicate more time to strategic analysis.

Zoom uses Meta's Llama in a federated approach to develop AI Companion, a generative AI assistant integrated into Zoom Workplace and Business Services. AI Companion leverages both open-source and closed-source large language models to provide features like meeting summaries, smart recordings, and next steps at no additional cost for eligible paid plans. This implementation helps users avoid repetitive tasks, enhances collaboration and productivity, and maintains data security and privacy by keeping customer data within Zoom’s secured servers. With over 700,000 accounts using AI Companion and growing adoption, Zoom's AI integration significantly improves user experience and operational efficiency.

Softchoice, a leading IT solutions provider, is using Microsoft Copilot for Microsoft 365 to enhance employee productivity across departments like marketing, sales, and finance. By integrating Copilot into daily workflows, employees leverage generative AI to reduce time spent on content creation by up to 70%, streamline operations, and focus on more meaningful work.

Bosch Software and Digital Solutions implemented an AI-powered ecosystem by leveraging Google Cloud products to integrate sustainability into business operations. They used Kubernetes to manage the lifecycle and scalability of solutions across multiple regions, BigQuery to build an AI-based cognition engine for real-time insights, and Firebase to alert specific user roles, thereby streamlining operational sustainability.

Bosch SDS deployed an AI-powered cognition engine by processing IoT sensor data on Google Cloud, using BigQuery for real-time insights and data analysis. They implemented Kubernetes for scalable lifecycle management across regions and integrated Firebase to provide real-time alerts to specific user roles. This approach digitizes sustainability tracking and optimizes operational decision-making through actionable, energy-efficient dashboards.

Insight Enterprises integrated Microsoft 365 Copilot into core business processes such as sales, finance, and HR, using generative AI to automate meeting summaries, content creation, and document standardization. They implemented the solution through Microsoft’s Early Access Program, supplemented by internal training sessions, weekly office hours, and developing an in-house AI service (Insight GPT) leveraging Microsoft Azure OpenAI Service, achieving rapid adoption across teams. This strategic integration streamlined key operations, accelerating RFP response times and boosting overall productivity.

Lionbridge integrated GPT-4 via Microsoft Azure OpenAI Service to automate routine translation tasks and deliver hyper-personalized, multi-language content. They implemented new workflows—including scalable provisioned throughput units and AI-powered tools for creating project-specific glossaries and style guides—to reengineer its translation and localization processes. This integration streamlined operations and enabled employees to shift focus from manual efforts to quality assurance and innovative content solutions.

Sourcegraph uses Anthropic's Claude 3 Sonnet as the default model in its AI coding assistant, Cody, which helps developers write and understand code faster. The AI provides context-aware chat and tools like inline code completions, significantly speeding up coding processes. Cody uses different models (Sonnet, Opus, Haiku) optimized for speed, intelligence, and long-context recall, increasing the quality and accuracy of code suggestions. Cody Pro and Enterprise users benefit from even more advanced features powered by these models.

Factory uses Claude 3 Opus and Haiku models to power autonomous "Droids" that automate various labor-intensive software development tasks, such as code reviews, migrations, and feature requests. These AI-powered Droids save customers over 550,000 hours and millions of dollars by streamlining development and reducing code churn by 3x.

dida developed a custom, modular AI solution on Google Cloud that automates Enpal's manual sales quoting process. They implemented a machine learning pipeline that collected rooftop images via the Google Maps Platform API and stored them in Cloud Storage, then trained a robust ML model on GPU-enabled Compute Engine using projective geometry to accurately estimate roof angles. The solution streamlined Enpal’s sales workflow by integrating continuous development with Cloud Build and orchestrating model operations via Vertex AI and TensorBoard, automating complex measurements and quote generation tasks.

Visma integrated GitHub Copilot, powered by Azure OpenAI Service, into their development workflow to provide real-time code suggestions and autocomplete features within Visual Studio and Visual Studio Code. They implemented automated code generation for routine tasks and linked it with Azure DevOps pipelines to continuously test and deploy code, reducing context switching. This integration streamlined coding processes, significantly accelerating software development efficiency.

MavenAGI uses GPT-4 to power automated customer support agents. It integrates with CRMs like Salesforce and Zendesk to personalize responses, evaluate answers, and resolve 93% of customer queries autonomously. This results in a 60% reduction in resolution time and reduces the cost per ticket from $40 to $8, enhancing both customer and employee experience.

HuggingFace introduced HuggingChat and HuggingChat Assistants, platforms that allow users to try out different open-source models and create customized assistants with unique personalities. By default, both platforms are powered by Mistral 8x7B, providing users with powerful, high-quality experiences and contextually relevant responses. Mistral 8x7B is currently the most popular model used on HuggingChat, enhancing user engagement.

Cloudflare, a leading content delivery network provider, serves Mistral 7B through their Workers AI platform, allowing users to run AI models on Cloudflare's global network. Mistral offers low latency, high throughput, and impressive performance, generating tokens up to 4x faster than Llama due to Grouped-Query attention. This enhances Cloudflare's AI offerings, enabling developers to build and deploy AI applications more efficiently.

Copilot Studio is also being used inside Microsoft itself. Microsoft uses a custom Copilot within its HRWeb portal to manage employee queries. The AI deflects 60% of incoming questions, allowing employees to reclaim over 21,000 hours of productivity and reducing 27% of incoming service tickets.

Niantic, known for augmented reality games like Pokémon GO, uses Meta's Llama 2 to develop Peridot, a mobile AR game featuring virtual pets called "Dots." By integrating Llama 2, Dots exhibit dynamic and responsive behaviors, making interactions unique and enhancing user engagement. Additionally, Niantic employs computer vision with the Niantic Lightship ARDK to enable Dots to interact with the physical environment, creating a more immersive and lifelike gaming experience. This AI-driven approach accelerates development, reduces manual programming, and delivers personalized interactions, improving player satisfaction and engagement.

OctoAI launched a production-ready Mixtral endpoint days after the model's initial announcement. Mixtral on OctoAI quickly became the most popular model on the platform, with about 9 out of every 10 new OctoAI sign-ups choosing Mixtral. Companies like Latitude Games and Otherside AI use Mixtral on OctoAI to deliver engaging LLM-powered experiences, generating billions of tokens daily.

Brave, an open-source privacy-focused web browser with an integrated AI assistant called Brave Leo, uses Mistral's 8x7B model as its primary model for both free and premium versions. Brave also leverages Mistral's capabilities for its CodeLLM feature, addressing programming-related queries in Brave Search. The exceptional performance and open-source nature of Mistral's models align with Brave's commitment to open models and the open-source community.

Amplitude's marketing and product teams use Perplexity to draft market landscape insights, accelerating research and improving the quality of strategic decisions.

Lambda uses Perplexity Enterprise Pro to streamline technical research and workflows across 15+ teams, including sales, content, and engineering. The AI provides reliable, cited information, helping users like technical writers, engineers, and sales reps accelerate documentation, sales outreach, and complex research tasks. This results in 475+ hours saved, faster task completion, and improved productivity.

Product teams at Zoom use Perplexity’s Focus functionality for targeted search.

Kinaxis and Dematic are building data-driven supply chains to address logistics use cases including scenario modeling, planning, operations management, and automation.

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

Replit developers will get access to Google Cloud infrastructure, services, and foundation models via Ghostwriter, Replit's software development AI, while Google Cloud and Workspace developers will get access to Replit’s collaborative code editing platform.