Gamuda Berhad, a Malaysian infrastructure and property management company, has integrated a Gemini-powered conversational agent into its cloud-based Tunnel Insight platform.

Digits is developing next-gen accounting software for startups and small businesses; using AI-driven bookkeeping, expense management, and financial analysis, Digits enables business owners to achieve financial clarity and focus on growth.

Intelligencia AI is using AI models to research novel new drugs, relying on Google Cloud’s AI-optimized infrastructure to deliver scalable research that is accurate and transparent to meet the stringent needs of medicine.

Materiom, a startup researching zero-waste, bio-based alternatives to fossil-fuel-made products like plastics, is creating a gen AI tool that enables entrepreneurs to develop novel compostable materials with broad applications.

180 Seguros is powering its data management platform for employees with Google Cloud AI and BigQuery.

Migrated the data platform to Microsoft Azure by leveraging Azure Analysis Services, Azure Data Factory, Azure Databricks, SQL Database, Azure Storage, Event Hubs, and Microsoft Power BI to consolidate and optimize data for self-service reporting and to enable AI initiatives with Microsoft Copilot Studio.

FIDO Tech developed an AI acoustic leak detection tool that processes sound data from mobile sensors attached to water pipelines. The system uses deep learning powered by OpenAI’s GPT-4 on Microsoft Azure OpenAI Service to analyze acoustic files and accurately pinpoint leak locations and assess leak severity without needing pipe-specific details. It optimizes maintenance workflows by providing precise leak ranking and advising optimal sensor placement, enabling utilities to prioritize repairs and reduce water wastage.

syte built an AI-driven property platform by integrating Google Cloud’s BigQuery to consolidate data from a data lake and execute rapid spatial queries across 25 million properties, reducing search response times from 60 seconds to around 2 seconds. They further enhanced processing by employing Compute Engine for parallel processing of massive LiDAR datasets and Kubernetes Engine to deploy and scale web applications, streamlining property analysis and re-densification workflows.

Syndigo, a content management and syndication company, uses Azure AI Services and Azure OpenAI Service to enhance its data insights and optimize customer experiences. By leveraging best-of-breed language models, they build and deploy large-scale data analytics projects, providing actionable insights to clients.

Lowe's fine-tunes OpenAI's GPT-3.5 to improve the accuracy of product descriptions and tagging on Lowes.com. By enhancing product data quality, the company reduces human error and associates' workloads, while increasing search result accuracy by 20% and improving product error detection by 60%. This initiative drives a smoother customer experience and boosts ecommerce performance.

CopyAI leverages Meta Llama on Lamini’s LLM platform to accelerate content generation for go-to-market efforts. By fine-tuning a high-precision classifier based on Llama, CopyAI automates content categorization for a Fortune 100 client.

Scribd, a digital document library, uses Claude from Anthropic to automatically generate high-quality metadata for over 100 million user-uploaded documents across its platforms Scribd and SlideShare.

Superluminal implemented a dynamic protein modeling platform leveraging advanced computational techniques and Google Cloud's compute power. They built a predict-design-test architecture that integrates multiple protein conformations to generate candidate-ready compounds targeting GPCRs. This AI-driven solution streamlines drug discovery workflows by combining deep biology, chemistry expertise, and machine learning to accurately capture protein dynamics.

Georgia Tech partnered with Microsoft using Azure OpenAI Service to analyze global EV charging behavior data in 72 languages, automating the classification and predictive modeling of public charging experiences. They fine-tuned their AI with context prompts and reinforcement learning from human feedback, integrating it into research workflows to support policy development and infrastructure enhancement.

The NFLPA, which represents professional football players, partnered with Microsoft and Xoriant to develop an AI solution using Azure AI Services to analyze practice video footage from all 32 teams. The AI tool automatically identifies potential rule violations in offseason practices, significantly reducing the time staff spend reviewing footage and enhancing player safety.

Saama's AI Research Lab has developed Llama3-OpenBioLLM-70B & 8B, the most openly available medical-domain LLMs to date.

Parexel implemented Microsoft Azure solutions by leveraging AI-powered capabilities within Azure Databricks and Power BI to consolidate and analyze data from over 100 disparate sources into a centralized data lake, eliminating labor-intensive manual reporting. The solution automated data aggregation and standardized data governance, optimizing clinical trial management and accelerating the delivery of actionable insights.

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.

Rakuten uses OpenAI’s models to leverage its vast data assets for improving customer service, extracting value from unstructured data, and enhancing B2B consulting. By implementing RAG (retrieval-augmented generation), they drastically improve response times for customer service, develop shopping review summarization features, and empower merchants with actionable insights.

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.

Integrated Microsoft Fabric to consolidate siloed ERP/SaaS data into a unified lakehouse and streamline HR analytics workflows while leveraging Copilot in Power BI for code enhancements.

Jaguar TCS Racing partnered with Google Cloud to integrate cutting-edge AI and cloud technologies into their racing operations. They implemented a real-time data capture and analytics system that processes performance metrics from the Jaguar I‑TYPE 6 as soon as it enters the pit garage, enabling engineers and drivers to make informed, live race decisions. This AI-driven solution optimizes both in‐race strategy and operational workflows for enhanced competitiveness on and off the track.

BigDataCorp, a data analytics and consulting firm from Brazil, uses Mistral AI models hosted on AWS Bedrock to enable client businesses to dive deeper into their data using natural language.

Migrated to a cloud-native microservices architecture on Azure by leveraging Service Fabric, App Service Environment, API Management, Service Bus, AKS, and centralized databases, combined with robust security and automation tools to support frequent releases and real-time payment processing.

Cdiscount utilizes Azure OpenAI Service combined with its own AI models to recategorize product sheets, leading to improved product categorization and higher conversion rates.

Steno uses Claude 3 Opus to power its Transcript Genius platform, enabling attorneys to quickly search, analyze, and extract critical insights from vast legal transcripts. This AI-driven solution centralizes transcript storage and uses a 200K context window to handle long documents, saving attorneys significant time in deposition preparation.

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.

BlueOcean, a brand intelligence platform, used Anthropic's Claude 3 models (Haiku and Opus) via Amazon Bedrock to consolidate four separate API calls into a single, more efficient one, resulting in over 50% cost reduction.

Boyner uses Azure OpenAI Service and Azure Machine Learning to analyze data faster and generate product descriptions automatically from product photos.