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.

RSM partnered with the City of Kelowna to streamline the building permit process using Microsoft Copilot Studio. The interactive AI chatbot asks users natural language questions about their projects and passes the information via Power Automate to Power Apps, which auto-fills forms. Initially focused on swimming pool permits, the solution will expand to cover all types of permits, reducing approval times from months to days.

Summer Health uses GPT-4 to automatically generate pediatric visit notes from doctors' written observations, reducing the time for note-taking by 5x and increasing note accuracy and consistency. This frees up more time for doctors to focus on patient care, reduces administrative fatigue, and improves parent satisfaction with clear, concise, and jargon-free notes.

Avanade uses Microsoft Copilot for Sales to help its sellers streamline tasks like updating records, summarizing emails, and pulling relevant data from Microsoft Dynamics 365, Outlook, and Teams. This reduces workload, improves email responsiveness, and allows sellers to focus on client engagement and drive business strategy more efficiently.

Lindy, a no-code platform for creating AI employees, selected Mistral as its first open-source model. This allows users to create specialized AI agents for tasks like executive assistance, customer support, and recruitment. According to CEO Flo Crivello, Mistral costs about 80% less than GPT-3.5, offering significant cost and speed advantages.

Researchers at UC Berkeley have introduced RAFT (Retrieval-Augmented Fine-Tuning) by leveraging Meta Llama 2 on Azure AI Studio. RAFT enhances domain adaptation in language models by improving their ability to retrieve and integrate relevant information. This novel approach benefits specialized applications by making Meta Llama 2 more versatile and adaptable to various domain-specific tasks.

General Motors partnered with Google Cloud to integrate conversational AI into its OnStar Interactive Virtual Assistant by embedding Dialogflow-powered intent-recognition algorithms in its vehicles and digital channels. The AI was implemented across millions of GM vehicles to provide natural language routing, navigation, and emergency assistance, and chatbots were deployed on GM’s websites to deliver detailed vehicle information. This integration optimized support workflows by reducing routine call handling and enabling OnStar Advisors to focus on complex requests.

Clerkbridge, a North Carolina-based startup, uses Meta Llama to anonymize attorney-privileged data and streamline legal document generation. Additionally, Clerkbridge leverages Llama to monitor and track terms of service, privacy policies, costs, and data policies, alerting users to changes and recommending new models and applications based on usage data, thereby enhancing compliance and operational efficiency.

Netlogic uses Microsoft Copilot for Sales to enhance its sales performance by automating meeting summaries, standardizing customer notes, and reducing notetaking discrepancies. This helps improve customer interactions, reduce sales cycles, and increase the closing rate. The use of Copilot also supports training for new employees and contributes to better work-life balance, resulting in a 25% increase in revenue within one quarter.

UKG uses Google Cloud's generative AI and large language models through Vertex AI to enhance its HCM suites, creating more conversational interactions, providing deeper business insights, and helping managers improve employee engagement and workplace culture.