Querying data conversationally for fast insights
AI21 Labs offers a BigQuery integration called Contextual Answers that allows users to query data conversationally and get high-quality answers quickly.
39
AI use cases in
Artificial Intelligence
Hume AI, a leader in emotionally intelligent AI systems, utilizes Anthropic's Claude to power natural and empathetic voice conversations through their EVI platform. This integration enables Hume's clients in healthcare, customer service, and consumer applications to build trust with users by providing emotionally aware and responsive interactions.
Decagon, a company focused on automating customer support, uses OpenAI's suite of GPT models, including GPT-3.5 and GPT-4, to manage large volumes of support inquiries without human intervention. The models are configured for tasks such as query rewriting, complex decision-making, and API request processing, offering scalable, nuanced responses tailored to each customer's needs.
Roboflow uses Meta's Segment Anything Model (SAM) to enable users to automatically segment objects in images and videos, significantly reducing the time required to create training datasets for computer vision models.
94
companies using
Data Agents
AES uses Claude on Google Cloud’s Vertex AI to automate their safety audit process, employing a multi-agent system to analyze documents, break down tasks, and generate reports. This system processes hundreds of pages, evaluates compliance, and produces detailed audit reports in about an hour.
Grab, a leading food delivery and rideshare company in Southeast Asia, uses OpenAI’s GPT-4 with vision fine-tuning to process millions of street-level images collected from drivers, enabling it to accurately identify traffic signs and lane dividers and reduce manual mapping labor. This approach yields more reliable, hyperlocal map data that supports their ride-hailing, delivery services, and enterprise clients.
Local Falcon, a platform that helps businesses improve their Google search rankings, utilizes Anthropic's Claude to analyze millions of customer reviews. This enables them to deliver clear, actionable recommendations, enhancing their clients' local search visibility.
196
solutions powered by
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.
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.
4
AI use cases in
Middle East
LyRise, a recruitment platform connecting companies with AI experts from the Middle East and North Africa, uses Meta's Llama 2 and 3 to implement AI-driven candidate matching. By utilizing Llama's text summarization and RAG capabilities to condense job descriptions and resumes, LyRise reduces time-to-hire by 50%, while ensuring quality talent acquisition.
SAIF CHECK, a company based in Riyadh, Saudi Arabia, uses Meta's Llama 3 to develop a model evaluation system that assesses AI models for compliance with legal, regulatory, privacy, and data security standards. Utilizing a Retrieval Augmented Generation (RAG) framework, the system scans and integrates global regulatory environments into a comprehensive knowledge base, enabling conversational and context-aware evaluations for both technical and non-technical users. This enhances trust in AI models, streamlines the auditing and certification process, and ensures businesses in the Middle East and North Africa can deploy AI solutions confidently and compliantly.
AudioCodes uses Azure and Microsoft Copilot to enhance its managed services and accelerate the migration to Microsoft Teams Phone, reducing proof of concept setup from six to eight weeks to just one day. The integration of Copilot and AI-driven solutions streamlines operations, improves customer experiences, and enhances call handling through features like intelligent routing and automation.