{"id":22021,"date":"2025-09-22T00:01:11","date_gmt":"2025-09-21T18:31:11","guid":{"rendered":"https:\/\/timesofpowerandvoice.com\/?p=22021"},"modified":"2025-09-22T00:01:17","modified_gmt":"2025-09-21T18:31:17","slug":"ibm-and-bharatgen-collaborate-to-accelerate-ai-adoption-in-india-powered-by-indic-large-language-models","status":"publish","type":"post","link":"https:\/\/timesofpowerandvoice.com\/?p=22021","title":{"rendered":"IBM and BharatGen Collaborate to accelerate AI adoption in India powered by Indic Large Language Models"},"content":{"rendered":"\n<p><strong>Pune (Voice news service):-<\/strong>\u00a0IBM (NYSE: IBM) and BharatGen announced a strategic collaboration to advance the adoption of Artificial Intelligence (AI) in India powered by BharatGen\u2019s sovereign multimodal and Large Language Models (LLMs)\u00a0 tailored to India\u2019s unique linguistic and cultural landscape. This collaboration aims to bring together IBM&#8217;s AI expertise in data, governance and model training technology, and BharatGen\u2019s national mandate and expertise to create inclusive, India-centric sovereign multimodal and Large Language Models (LLMs) \u00a0rooted in indigenous context and values.<\/p>\n\n\n\n<p>The initiative focuses on developing and scaling multimodal and language specific AI models and expanding their applications across various sectors, including education, agriculture, banking healthcare, citizen services and more. As part of this collaboration, BharatGen and IBM will aim to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Develop solution templates for Indic use cases leveraging BharatGen\u2019s models and data\u00a0 with IBM\u2019s AI technologies including IBM Granite Models.<\/li>\n\n\n\n<li>Create demonstrations and use case templates (RAG and targeted domains) on IBM Watsonx and Red Hat OpenShift AI.<\/li>\n\n\n\n<li>Build a scalable data pipeline using IBM\u2019s selected open source tools, enhanced with Indic specific capabilities to streamline data preparation workflows. Implement a governance framework from IBM\u2019s enterprise scale model development methodology to strengthen responsible model development.<\/li>\n\n\n\n<li>Create new benchmarks specifically suited for Indic domain and languages.<\/li>\n\n\n\n<li>Research new and emerging model architecture and technologies leveraging IBM and BharatGen\u2019s\u00a0 experience and expertise in high performance and purpose-built generative AI models.<\/li>\n<\/ul>\n\n\n\n<p><em>&#8220;At BharatGen,&nbsp;<\/em><em>we have been building sovereign AI models and the ecosystem&nbsp;<\/em><em>that reflects the linguistic richness, cultural nuances, and diverse needs of our people. This collaboration with IBM allows us to bring cutting-edge global research<\/em>,&nbsp;<em>scalable architectures and inclusive systems for India\u201d said&nbsp;<strong>Prof. Ganesh Ramakrishnan, BharatGen.<\/strong>&nbsp;\u201cWith IBM\u2019s strength in enterprise-grade platforms and our commitment to public-good AI, we are on a path to drive transformative solutions for empowering India\u2019s digital journey across domains such as agriculture, finance, education, and governance.\u201d<\/em><\/p>\n\n\n\n<p><em>\u201cAt IBM, we are committed to support the&nbsp; creation of open, trusted AI that solves real-world problems,\u201d<\/em>&nbsp;said<strong>&nbsp;Sandip Patel, Managing Director, IBM India and South Asia.<\/strong>&nbsp;<em>\u201cThrough our collaboration with BharatGen, we aim to advance sovereign AI capabilities that reflect India\u2019s diversity and deliver meaningful impact across sectors.\u201d<\/em><\/p>\n\n\n\n<p>BharatGen\u2019s LLM and foundation model roadmap is designed to address both national and commercial needs across agriculture, education, healthcare, national security, and finance. A key priority is the inclusion of underserved Indian languages and dialects beyond the top 12\u201322, ensuring broader digital participation and equity.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Pune (Voice news service):-\u00a0IBM (NYSE: IBM) and BharatGen announced a strategic collaboration to advance the adoption of Artificial Intelligence (AI) in India powered by BharatGen\u2019s sovereign multimodal and Large Language Models (LLMs)\u00a0 tailored to India\u2019s unique linguistic and cultural landscape. This collaboration aims to bring together IBM&#8217;s AI expertise in data, governance and model training [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[177,38],"tags":[],"class_list":["post-22021","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence","category-technology"],"_links":{"self":[{"href":"https:\/\/timesofpowerandvoice.com\/index.php?rest_route=\/wp\/v2\/posts\/22021","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/timesofpowerandvoice.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/timesofpowerandvoice.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/timesofpowerandvoice.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/timesofpowerandvoice.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=22021"}],"version-history":[{"count":1,"href":"https:\/\/timesofpowerandvoice.com\/index.php?rest_route=\/wp\/v2\/posts\/22021\/revisions"}],"predecessor-version":[{"id":22022,"href":"https:\/\/timesofpowerandvoice.com\/index.php?rest_route=\/wp\/v2\/posts\/22021\/revisions\/22022"}],"wp:attachment":[{"href":"https:\/\/timesofpowerandvoice.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=22021"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/timesofpowerandvoice.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=22021"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/timesofpowerandvoice.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=22021"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}