Ensuring AI compliance and trust
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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.
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12
AI use cases in
Data & analytics
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MetaLearner uses Meta's Llama 3.1 to make ERP systems like SAP and Oracle easier to work with.
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Ipsos used Gemini 1.5 Pro and Flash to create an internal tool that allows market researchers to pull real-world data from Google Search for analysis.
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Dun & Bradstreet created an AI search with Google’s Gemini to help customers with complex queries like "Find me all the companies in this area with a high ESG rating." They’ve also built an AI-powered email-generation tool that helps sellers create tailored, personalized communications to prospects and customers for its research services.
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149
companies using
Data Agents
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Aura Intelligence integrated Anthropic's Claude via Amazon Bedrock into its data pipeline to automatically classify over 200 million job titles and industry pairings from multi-language data, replacing manual lookups and fuzzy matching. They fine-tuned foundation models on proprietary datasets and leveraged AWS infrastructure, including SageMaker and prompt management, to automate QA, report generation, anomaly detection, and real-time hiring trend analysis.
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LaunchNotes leverages Claude in Amazon Bedrock in their product 'Graph' to transform engineering data into actionable insights. Graph functions as an ETL platform with Claude managing data pipelines, helping engineering managers understand development metrics, reduce incident identification time, automate updates, and generate customized release notes and technical documentation.
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Snowflake integrated Anthropic's Claude into their platform to enable natural language queries on complex databases, allowing customers to extract insights without SQL expertise while maintaining security and governance.
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49
solutions powered by
Meta
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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.
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Untukmu.AI, an online gifting site in Indonesia, uses Meta's Llama 3.1 8B model with split inference processing to protect customer privacy. By running part of the AI model on customers' devices and the rest on their servers, they deliver personalized gift recommendations without accessing or storing personal data. This ensures customer privacy while still providing high-quality, tailored suggestions, enhancing trust and satisfaction.
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CodeGPT, a popular coding assistant with over 1.4 million downloads, integrates Meta's Llama models to enhance developer productivity. By using Llama 3.2 (90B), CodeGPT helps developers not just generate code but also answer questions about their codebase, debug code, and onboard new team members. It includes a codebase graph mechanism that lets Llama understand entire repositories, allowing developers to effectively "talk" with their code. This integration leads to at least a 30% increase in productivity and accelerates onboarding from months to days.
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15
AI use cases in
Middle East
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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.
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Implemented a hybrid cloud architecture by moving one-third of its servers to Azure public cloud and another third to Azure Local for edge capabilities, managed via Azure Arc to seamlessly integrate on-premises and cloud environments for advanced industrial AI use cases.
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KMS Lighthouse, a global technology company specializing in organizational knowledge management solutions, integrated Azure OpenAI Service into their platform to assist companies with content creation. The AI helps content authors be more efficient by generating summaries, automatic responses, enhancing content in knowledge articles, and producing FAQs and answers.
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