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It includes real-world case studies: Garuda, an LLM for Bahasa Indonesia built with large-scale language tokens and RLHF alignment, and telecom operations improvements achieving incident auto-remediation and measurable productivity gains.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & 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discussion, a major investment area for digital transformation, and an indispensable component of every technology stack.  \nAI Delivered Right  \nfrom hype to real value  \nAmidst this hype, one  \nfundamental truth emerges:  \nIs AI really delivering the stated outcomes to  \nthe enterprises?  \nThe problem is not as much about invention as it is about implementation – up to 74% of enterprises are struggling with this journey from AI exploration to successful implementation.  \nThis is where we are leading the shift with our strategy:  \nAI Delivered Right  \nRead more on our ~~ ~~  \nAI Delivered Right strategy  28   \nAI Delivered Right  \nThat’s transformation.  \nThis is what our AI strategy at Tech Mahindra (TechM) is all about.  \nTo cut through the hype and drive responsible, practical, and scalable adoption of AI. To equip clients with the right tools, framework and processes that can maximise return on AI investment. To help modernise their legacy systems for greater productivity with a focus on smart data practices, optimised spending for transparency, and seamless ecosystem collaboration.  \nWe have built this strategy on four foundational pillars – Transformation Delivered, Productivity Delivered, Innovation Delivered and Assurance Delivered. These pillars are reinforced by a strong focus on ecosystem collaboration, targeted reskilling to bridge AI skill gaps, and delivering  \nadvanced Agentic AI systems that support real-time execution and autonomous decision-making.  \nTogether, these elements strengthen our position as an AI-first organisation, where the right technologies, domain expertise, and industry-tested frameworks back each AI deployment.  \nAs the AI landscape shifts from infrastructure to real-world applications, it will be the most significant tailwind for business, but only for those who get it right. At TechM, we aim to be the partner that enables clients to turn AI ambition into action and unlock its full potential.  \nThis, for us, is AI Delivered Right  \nCASE STUDY  \nAI Delivered Right  \nin the real world  \nTechM and a Leading  \nIndonesia Based Digital Telco Unite to Build Garuda, an LLM for Bahasa Indonesia and its Dialects  \nTHE PARTNERSHIP  \nAt Mobile World Congress 2024, TechM signed a Memorandum of Understanding with Indonesia’s most preferred digital telecommunications company, to build ‘Garuda’, a Large Language Model (LLM) to preserve Bahasa Indonesia, Indonesia’s national language, and its dialects.  \nBRINGING BAHASA  \nINDONESIA TO LIFE WITH AI  \nGaruda will be built on the principles of our indigenous LLM ‘Project Indus’, a foundational model designed to converse in a multitude of Indic languages and dialects. Garuda’s unique features will create multiple use cases and enable the client’s customers to leverage various applications, including customer support, experience, and content creation across industries such as healthcare, e-commerce, rural education, banking and finance, agriculture, and telecom. The model will offer personalised customer experiences by analysing sentiment and understanding behavioural  \npatterns, resulting in flexible learning based on customers’previous interactions.  \nAs part of this partnership, we will leverage our technology expertise to gather and curate data in the Indonesian language, which will be pre-trained and released as a conversational model for the client.  \nGaruda will be developed with  \n16 Bn original Bahasa tokens, providing 1.2 Bn parameters to shape the model’s understanding of the Bahasa language and influencing how it processes input and formulates output. A beta version of the Garuda model will be released for testing by client and Bahasa Indonesia speakers. The model will be further improved using RLHF (Reinforcement Learning from Human Feedback) techniques to ensure its robustness for conversation. Additionally, any specialised use cases will be developed using th","cbCaisXS57eg3ZcI","https://ap.wps.com/l/cbCaisXS57eg3ZcI","pdf",15215790,682,"English","# AI Delivered Right\n## From hype to real value\n## CASE STUDY: AI Delivered Right in the real world\n## THE PARTNERSHIP: Garuda LLM for Bahasa Indonesia\n## BRINGING BAHASA INDONESIA TO LIFE WITH AI\n## CASE STUDY: AI Delivered Right for a future-ready telecom enterprise\n## THE CHALLENGE\n## THE SOLUTION\n## THE OUTCOME\n## Empowering a leading European CSPs operational future-readiness\n## THE CHALLENGE\n## THE SOLUTION","[{\"question\":\"What core problem does the report highlight about enterprise AI adoption?\",\"answer\":\"The report emphasizes that many enterprises struggle to move from AI exploration to successful implementation, making implementation the key challenge rather than invention.\"},{\"question\":\"What are the four foundational pillars of the AI Delivered Right strategy?\",\"answer\":\"The strategy is built on four pillars: Transformation Delivered, Productivity Delivered, Innovation Delivered, and Assurance Delivered.\"},{\"question\":\"How does the report describe the Garuda LLM initiative and its language alignment approach?\",\"answer\":\"Garuda is designed to preserve Bahasa Indonesia and its dialects, built on the principles of Project Indus, with a beta version for testing and further improvements using RLHF for robust conversation.\"}]","AI Delivered Right - Annual Report FY 2024-2025 | PDF",1719]