{"id":60342,"date":"2026-06-10T19:30:00","date_gmt":"2026-06-10T12:30:00","guid":{"rendered":"https:\/\/thaipropertynews.com\/feeds\/?p=60342"},"modified":"2026-06-10T19:30:00","modified_gmt":"2026-06-10T12:30:00","slug":"adaptive-ml-and-att-expand-ai-collaboration-to-scale-specialized-models-across-enterprise-workflows-2","status":"publish","type":"post","link":"https:\/\/thaipropertynews.com\/feeds\/?p=60342","title":{"rendered":"Adaptive ML and AT&amp;T Expand AI Collaboration to Scale Specialized Models Across Enterprise Workflows"},"content":{"rendered":"<p><span class=\"legendSpanClass\">NEW YORK<\/span>, <span class=\"legendSpanClass\">June 10, 2026<\/span> \/PRNewswire\/ &#8212; Adaptive ML, the leader in Reinforcement Learning Operations (RLOps), today announced the renewal and expansion of its\u00a0work\u00a0with AT&amp;T. Following a year of successful production deployment, AT&amp;T has now doubled its software footprint within the Adaptive Engine platform and embedded Adaptive Forward Deployed Engineers (FDEs) to accelerate the transition from prototypes built using closed proprietary LLMs prototypes to autonomous, agentic systems.\u00a0<\/p>\n<p>By leveraging\u00a0Adaptive&#8217;s\u00a0RLOps platform, AT&amp;T has\u00a0moved\u00a0beyond\u00a0prompt engineering to\u00a0develop\u00a0in-house reasoning models based on open-source that bridge the &#8220;last mile&#8221; of performance, achieving frontier-level accuracy while drastically reducing operational costs.<\/p>\n<p>The\u00a0contract\u00a0renewal\u00a0doubles\u00a0AT&amp;T&#8217;s\u00a0software\u00a0capacity\u00a0in\u00a0terms of GPU nodes, allowing for more high-volume use cases. As part of the expansion, embedded FDEs will work directly within AT&amp;T&#8217;s data science teams to support the upskilling of internal teams and co-develop complex reasoning models for workflows like <span>fraud<\/span> detection and bilingual customer engagement.<\/p>\n<p>The\u00a0work\u00a0with\u00a0AT&amp;T\u00a0to date\u00a0has\u00a0already\u00a0delivered\u00a0transformative\u00a0results:\u00a0<\/p>\n<ul type=\"disc\">\n<li>Call Summarization: Adaptive fine-tuned a\u00a0Gemma 12B model that delivers 30% faster performance over general-purpose APIs in providing daily transcripts for customer service calls.<\/li>\n<li><span>Fraud<\/span> Detection: Specialized reasoning models reduce\u00a0<span>fraud<\/span> case review time from six minutes to just 30 seconds, up to 12x more throughput for fraud analysts.\u00a0<\/li>\n<\/ul>\n<p>&#8220;<i>At AT&amp;T, our goal has always been to<\/i>\u00a0<i>prove AI&#8217;s value in<\/i>\u00a0<i>enterprise-grade operations, instead of<\/i>\u00a0<i>deploying demos as science projects,<\/i>&#8221; said Mark Austin, Vice President of Data Science at AT&amp;T. &#8220;<i>To<\/i>\u00a0<i>get the most value out of<\/i>\u00a0<i>agentic<\/i>\u00a0<i>AI<\/i>\u00a0<i>applications, we need<\/i>\u00a0<i>to move beyond generic prompts and specialize our models on our own data and workflows. Our<\/i>\u00a0<i>work<\/i>\u00a0<i>with Adaptive ML provides the critical compute and data foundations required to<\/i>\u00a0<i>make that jump and<\/i>\u00a0<i>deliver real value<\/i>\u00a0<i>for our employees and a better experience for our customers.<\/i>&#8221;\u00a0<\/p>\n<p>&#8220;<i>AT&amp;T<\/i>\u00a0<i>is<\/i>\u00a0<i>proving<\/i>\u00a0<i>that<\/i>\u00a0<i>the future of<\/i>\u00a0<i>enterprise<\/i>\u00a0<i>AI<\/i>\u00a0<i>isn&#8217;t<\/i>\u00a0<i>just<\/i>\u00a0<i>about<\/i>\u00a0<i>bigger<\/i>\u00a0<i>models, but<\/i>\u00a0<i>is<\/i>\u00a0<i>about<\/i>\u00a0<i>owning<\/i>\u00a0<i>the intelligence layer,<\/i>&#8221;\u00a0added\u00a0Julien Launay, CEO and Co-founder\u00a0of Adaptive ML. &#8220;<i>By<\/i>\u00a0<i>focusing<\/i>\u00a0<i>on<\/i>\u00a0<i>specialization, AT&amp;T is ensuring their domain-specific data becomes a compounding strategic asset. We are proud to provide the RLOps\u00a0infrastructure for one of the\u00a0most\u00a0sophisticated\u00a0AI\u00a0deployments\u00a0in the world.&#8221;\u00a0<\/i><\/p>\n<p><b>About Adaptive ML<\/b> <br \/>Adaptive ML\u00a0is\u00a0a\u00a0frontier\u00a0AI startup\u00a0developing\u00a0the\u00a0world&#8217;s\u00a0first\u00a0Reinforcement\u00a0Learning Operations (RLOps) platform for enterprise specialization. The Adaptive Engine is the indispensable intelligence and value layer enterprises need to bridge their compute and value layers. Headquartered in New York with a research team in Paris, Adaptive focuses on large-scale deployments within complex global organizations.\u00a0<\/p>","protected":false},"excerpt":{"rendered":"<p><!-- wp:html --><\/p>\n<p><span class=\"legendSpanClass\">NEW YORK<\/span>, <span class=\"legendSpanClass\">June 10, 2026<\/span> \/PRNewswire\/ &#8212; Adaptive ML, the leader in Reinforcement Learning Operations (RLOps), today announced the renewal and expansion of its\u00a0work\u00a0with AT&amp;T. Following a year of successful production deployment, AT&amp;T has now doubled its software footprint within the Adaptive Engine platform and embedded Adaptive Forward Deployed Engineers (FDEs) to accelerate the transition from prototypes built using closed proprietary LLMs prototypes to autonomous, agentic systems.\u00a0<\/p>\n<p>By leveraging\u00a0Adaptive&#8217;s\u00a0RLOps platform, AT&amp;T has\u00a0moved\u00a0beyond\u00a0prompt engineering to\u00a0develop\u00a0in-house reasoning models based on open-source that bridge the &#8220;last mile&#8221; of performance, achieving frontier-level accuracy while drastically reducing operational costs.<\/p>\n<p>The\u00a0contract\u00a0renewal\u00a0doubles\u00a0AT&amp;T&#8217;s\u00a0software\u00a0capacity\u00a0in\u00a0terms of GPU nodes, allowing for more high-volume use cases. As part of the expansion, embedded FDEs will work directly within AT&amp;T&#8217;s data science teams to support the upskilling of internal teams and co-develop complex reasoning models for workflows like <span>fraud<\/span> detection and bilingual customer engagement.<\/p>\n<p>The\u00a0work\u00a0with\u00a0AT&amp;T\u00a0to date\u00a0has\u00a0already\u00a0delivered\u00a0transformative\u00a0results:\u00a0<\/p>\n<ul type=\"disc\">\n<li>Call Summarization: Adaptive fine-tuned a\u00a0Gemma 12B model that delivers 30% faster performance over general-purpose APIs in providing daily transcripts for customer service calls.<\/li>\n<li><span>Fraud<\/span> Detection: Specialized reasoning models reduce\u00a0<span>fraud<\/span> case review time from six minutes to just 30 seconds, up to 12x more throughput for fraud analysts.\u00a0<\/li>\n<\/ul>\n<p>&#8220;<i>At AT&amp;T, our goal has always been to<\/i>\u00a0<i>prove AI&#8217;s value in<\/i>\u00a0<i>enterprise-grade operations, instead of<\/i>\u00a0<i>deploying demos as science projects,<\/i>&#8221; said Mark Austin, Vice President of Data Science at AT&amp;T. &#8220;<i>To<\/i>\u00a0<i>get the most value out of<\/i>\u00a0<i>agentic<\/i>\u00a0<i>AI<\/i>\u00a0<i>applications, we need<\/i>\u00a0<i>to move beyond generic prompts and specialize our models on our own data and workflows. Our<\/i>\u00a0<i>work<\/i>\u00a0<i>with Adaptive ML provides the critical compute and data foundations required to<\/i>\u00a0<i>make that jump and<\/i>\u00a0<i>deliver real value<\/i>\u00a0<i>for our employees and a better experience for our customers.<\/i>&#8221;\u00a0<\/p>\n<p>&#8220;<i>AT&amp;T<\/i>\u00a0<i>is<\/i>\u00a0<i>proving<\/i>\u00a0<i>that<\/i>\u00a0<i>the future of<\/i>\u00a0<i>enterprise<\/i>\u00a0<i>AI<\/i>\u00a0<i>isn&#8217;t<\/i>\u00a0<i>just<\/i>\u00a0<i>about<\/i>\u00a0<i>bigger<\/i>\u00a0<i>models, but<\/i>\u00a0<i>is<\/i>\u00a0<i>about<\/i>\u00a0<i>owning<\/i>\u00a0<i>the intelligence layer,<\/i>&#8221;\u00a0added\u00a0Julien Launay, CEO and Co-founder\u00a0of Adaptive ML. &#8220;<i>By<\/i>\u00a0<i>focusing<\/i>\u00a0<i>on<\/i>\u00a0<i>specialization, AT&amp;T is ensuring their domain-specific data becomes a compounding strategic asset. We are proud to provide the RLOps\u00a0infrastructure for one of the\u00a0most\u00a0sophisticated\u00a0AI\u00a0deployments\u00a0in the world.&#8221;\u00a0<\/i><\/p>\n<p><b>About Adaptive ML<\/b> <br \/>Adaptive ML\u00a0is\u00a0a\u00a0frontier\u00a0AI startup\u00a0developing\u00a0the\u00a0world&#8217;s\u00a0first\u00a0Reinforcement\u00a0Learning Operations (RLOps) platform for enterprise specialization. The Adaptive Engine is the indispensable intelligence and value layer enterprises need to bridge their compute and value layers. Headquartered in New York with a research team in Paris, Adaptive focuses on large-scale deployments within complex global organizations.\u00a0<\/p>\n<p><!-- \/wp:html --><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"rop_custom_images_group":[],"rop_custom_messages_group":[],"rop_publish_now":"initial","rop_publish_now_accounts":[],"rop_publish_now_history":[],"rop_publish_now_status":"pending","footnotes":""},"categories":[5,7],"tags":[],"class_list":["post-60342","post","type-post","status-publish","format-standard","hentry","category-cision-pr-newswire","category-cision-pr-newswire-en"],"_links":{"self":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/posts\/60342","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=60342"}],"version-history":[{"count":0,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/posts\/60342\/revisions"}],"wp:attachment":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=60342"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=60342"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=60342"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}