PKSHA Technology uses Microsoft 365 Copilot to enhance team efficiency by speeding up meeting preparations, data analytics, and ideation. This helps them release products faster, create better sales presentations, and improve customer management.

ITOCHU transformed its FOODATA dashboard by integrating Azure OpenAI Service and Azure AI Studio, powered by Microsoft Fabric for data aggregation and cleansing, to automatically generate evidence-based product proposals. They implemented a dedicated proof-of-concept through a cross-company task force and a partnership with Headwaters, assembling SQL-driven data and leveraging retrieval-augmented generation for comprehensive analysis. This integration streamlines product planning by reducing manual data analysis and drafting, enabling managers to quickly evaluate multiple proposal drafts.

Carrefour implemented an AI sommelier service by integrating a language model into their customer service robots, enabling quick and personalized wine recommendations. The system analyzes customer sentiments and queries to provide tailored suggestions, thereby streamlining the in-store wine selection process and enhancing customer service.

Gupshup.io's CX Product Suite 'Converse' is now powered by ACE LLM, domain-specific models fine-tuned for enterprise-grade conversations based on Meta's Llama 2. This enhances their offerings in customer acquisition, marketing, commerce, and support.

Chi Mei Medical Center in Taiwan implemented AI copilots built with Microsoft's Azure OpenAI Service to assist doctors, nurses, pharmacists, and nutritionists in their daily tasks. The copilots summarize patient information from multiple databases into a single interface, automate report generation, and provide personalized patient education materials. This has reduced the time spent on documentation, allowing staff to see more patients and spend more quality time with them.

MHI implemented TOMONI TALK with ChatGPT by leveraging Microsoft Azure OpenAI Service to automate tasks such as summarization, translation, and draft generation. They built a low-code prototype, conducted an in-house hackathon, and partnered with Zen Architects to integrate a tailored Retrieval Augmented Generation approach using Azure AI Search and robust data management. This solution streamlined internal communication, maintenance, and decision-making processes in power plant operations.

HDFC ERGO built two pioneering superapps – "Here." for consumers and "1Up" for insurance advisors – that centralize insurance services using AI. They implemented BigQuery as an autoscaling data lake to consolidate 20 years of legacy data and integrated 300+ API services through Apigee to enable seamless partner communication. Additionally, they deployed Vertex AI and Cloud Natural Language API to deliver context-sensitive nudges and conversational assistants, transforming customer engagement, policy management, and claims analytics across the insurance value chain.

10BedICU uses OpenAI’s API to enhance India’s critical care infrastructure. It developed tools like CARE Scribe, which transcribes doctor-patient interactions into EMR entries in multiple languages, reducing data entry time by over 50%, CARE Device Connect, which integrates data from older hospital monitors, and CARE Discharge Summary, which automates patient record summaries, improving healthcare delivery in underserved communities.

Hitachi embedded Microsoft’s generative AI tools—including Azure Open AI Service, Copilot for Microsoft 365, and GitHub Copilot—into its Lumada Solutions and JP1 Cloud Services to automate mission-critical system development, enhance customer service with faster alert response times, and improve predictive maintenance for rail infrastructure. They implemented these integrations across multiple business workflows and launched a comprehensive training program for over 50,000 GenAI Professionals to upskill 270,000 employees, driving measurable improvements in productivity and operational efficiency.

Sarvam AI specializes in developing AI solutions for Indic languages. They developed a Hindi Large Language Model by extending Meta's Llama 2 in partnership with AI4bharat. The model aims to deliver GPT-3.5-like performance on Indic languages under compute and data constraints, achieving high performance on a frugal budget.

Strategy teams at Paytm draft market landscape insights to inform their roadmaps.

Oppo/OnePlus is incorporating Gemini models and Google Cloud AI into their phones to deliver innovative customer experiences, including news and audio recording summaries, AI toolbox, and more.

Woven – Toyota's investment in the future of mobility — is partnering with Google to leverage vast amounts of data and AI to enable autonomous driving, supported by thousands of ML workloads on Google Cloud’s AI Hypercomputer. This has resulted in 50% total-cost-of-ownership savings to support automated driving.

Kakao Brain, part of Korean technology company Kakao Group, has built a large-scale AI language model that is the largest Korean language-specific LLM in the market, with 66 billion parameters. They’ve also developed a text-to-image generator called Karlo.

Tokopedia, an Indonesian ecommerce leader, is using Vertex AI to improve data quality, increasing unique products being sold by 5%.

Samsung is deploying Gemini Pro and Imagen 2 to their Galaxy S24 smartphones so users can take advantage of features like text summarization, organization, and magical image editing.

Melooha developed a hyper-personalized Vedic astrological engine using Meta's Llama 3 70B model. The model enhances the accuracy and depth of astrological insights by blending ancient wisdom with modern AI, allowing for profound exploration of astrological complexities and delivering credible, personalized predictions.

Healthify, India’s largest health platform, uses OpenAI's GPT-4 Vision and Whisper to improve food tracking and health coaching. The integration has increased food tracking by 50% and doubled user engagement with nutrition coaching. Healthify plans to expand to 20 countries and save millions of lives by improving fitness and reversing metabolic diseases globally.

Elyza, a Japanese AI startup, uses Meta Llama 2 to develop a Japanese large language model designed for advanced natural language processing applications, including language translation, chatbots, and text generation, thereby enhancing AI-driven communication and language services in Japan.

McDonald's China established an AI Lab with Microsoft, using Azure AI tools and GitHub Copilot to enhance employee training at Hamburger University. AI assistants provide document translation, optimized search, and personalized learning, improving training efficiency.

Air India integrates Microsoft Copilot for Microsoft 365, including a custom plugin for Microsoft Teams, to streamline operational data analysis and decision-making. This allows teams to quickly analyze flight performance, delays, and other key metrics through natural language queries. The solution enhances collaboration across departments, boosting efficiency, reducing operational costs, and improving the employee experience.

KissanAI has released Dhenu Llama 3, a multilingual AI agriculture assistant tailored for Indian farmers. Built on Meta’s Llama 3 8B architecture, Dhenu understands voice and text inputs and is integrated with platforms like WhatsApp, supporting 22 languages including 9 Indian languages. This assists farmers in accessing agricultural advice and information, enhancing farming practices through advanced AI capabilities.

Taiwan LLM is a pioneering large language model focused on Traditional Chinese used in Taiwan. Built on Meta Llama 2, it incorporates cultural context and advanced pre-training on comprehensive datasets, enabling it to understand linguistic nuances and cultural references, thus revolutionizing Traditional Chinese language processing in NLP applications.

Odia Generative AI is an open-source project aimed at expanding LLM capabilities for the Odia language, spoken by 40 million in India. Using Meta Llama 2, OdiaGenAI has developed the Odia Llama, a fine-tuned LLM for Odia, and is exploring applications like AI chatbots and AI tutors, thereby enhancing accessibility and digital inclusion for Odia speakers.

Cognizant uses Microsoft Azure Machine Learning to enhance its performance management system GoPerform by integrating AI to improve manager feedback, ensuring employees receive meaningful, actionable feedback.

Digital Green uses OpenAI's GPT-4 to develop Farmer.Chat, a generative AI chatbot that supports agricultural extension services in countries like India and Kenya. It provides farmers with tailored advice by integrating Digital Green's vast library of agricultural knowledge, including training videos and research factsheets. By enhancing extension agents' ability to assist farmers, Farmer.Chat reduces the cost of traditional services and improves access to localized farming expertise.

Pratham developed 'BaalSakhi', a chatbot powered by Meta's Llama 2 (70B), integrating via WhatsApp to provide personalized, on-demand support for early childhood care and education to parents and caregivers in resource-poor settings. BaalSakhi draws insights from trusted sources like government departments, UNICEF, WHO, and childcare experts, helping users navigate their child's early development journey independently.