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    <title>AI in enterprise software — USASI news</title>
    <link>https://unitedstatesofamericasuperintelligence.com/hubs/enterprise-ai/</link>
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    <description>Dated, sourced news items about the organizations and records featured in the USASI AI in enterprise software hub. Independent project. Not a United States government website.</description>
    <language>en-us</language>
    <lastBuildDate>Tue, 13 Oct 2026 12:00:00 GMT</lastBuildDate>
    <item>
      <title>MLflow 3.17.0 released with fine-grained permissions and TypeSafe judge support</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/mlflow-3-17-0-released/</link>
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      <pubDate>Thu, 08 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On October 7, 2026 the MLflow project published version 3.17.0 on GitHub. The release notes list &quot;Jev Decisions Across Evaluation, Gateway, and Tracing&quot;, which lets TypeSafe models be used in built-in scorers and custom judges, and &quot;Fine-Grained Permissions for Shared Resources&quot;, with wildcard grants and explicit DENY for contained resource types such as runs, traces, and versions. They also describe opt-in daily summaries for trace analytics. The notes say SQL-backed servers need a coordinated mlflow db upgrade with all writers stopped, and that mixed-version rolling upgrades are not supported. USASI has not tested these changes.</description>
    </item>
    <item>
      <title>Salesforce signs a definitive agreement to acquire Listen Labs; the deal has not yet closed</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/salesforce-agrees-to-acquire-listen-labs/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>acquisition</category>
      <description>On September 29, 2026 Salesforce announced a definitive agreement to acquire Listen Labs, an AI-powered customer research and human simulation platform whose AI agents design studies, conduct research, and synthesize insights. Salesforce says the deal would complement Marketing Cloud, Service Cloud, and its wider AI portfolio. Closing is expected in the fourth quarter of Salesforce's fiscal year 2027, subject to customary closing conditions including required regulatory clearance. The announcement does not disclose financial terms.</description>
    </item>
    <item>
      <title>Databricks acquires Row Zero, the maker of a spreadsheet for large datasets</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/databricks-acquires-row-zero/</link>
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      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>acquisition</category>
      <description>Databricks announced on September 24, 2026, that it has acquired Row Zero, which makes a spreadsheet application designed to work with very large datasets and to be used by people and AI agents together. Databricks says Row Zero will be integrated natively with its data and AI platform, including its Genie assistant, building on components such as Unity Catalog, and that it will continue to support data sources outside Databricks. The announcement does not disclose financial terms.</description>
    </item>
    <item>
      <title>Salesforce and NVIDIA announce Koa, a CRM reasoning model post-trained from NVIDIA Nemotron 3 Super</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/salesforce-announces-koa-crm-reasoning-model/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On September 15, 2026 Salesforce and NVIDIA announced Koa, which it calls its first CRM reasoning model, built to help Agentforce agents reason through multistep workflows and use the right tools. Salesforce says Koa is a post-trained version of NVIDIA Nemotron 3 Super, trained with supervised fine-tuning and reinforcement learning on a proprietary synthetic dataset, and that no customer data was used in training. Koa is available to select pilot customers in Agentforce, with general availability expected in winter 2026 in U.S. regions. Salesforce says it controls the model weights and runs Koa within its own infrastructure as a Salesforce-hosted option; the announcement does not say that the weights will be released. USASI has not tested Koa.</description>
    </item>
    <item>
      <title>IBM releases the Granite Time Series PatchTST-FM-r2 forecasting model under Apache 2.0 or OpenMDW</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/ibm-releases-granite-time-series-patchtst-fm-r2/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On September 9, 2026 IBM Research announced Granite Time Series PatchTST-FM-r2, a zero-shot forecasting model of about 385M parameters that succeeds PatchTST-FM-r1 in the Granite TSFM family. The announcement lists a context length of up to 8,192 steps, flexible forecast lengths, and probabilistic forecasts from a 99-quantile prediction head. The weights are on Hugging Face and the code is in the granite-tsfm repository, and the model is dual-licensed under Apache 2.0 and OpenMDW 1.0, with either license available to choose. USASI has not tested the model.</description>
    </item>
    <item>
      <title>Red Hat AI 3.5 becomes generally available with EvalHub and wider llm-d support</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/red-hat-ai-3-5-generally-available/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>Red Hat announced on September 9, 2026 that Red Hat AI 3.5 is generally available, including as part of Red Hat AI Factory with NVIDIA. The release makes EvalHub generally available for safety benchmarking and compliance reporting before deployment, shows Garak results on evaluated catalog models, integrates NeMo Guardrails to intercept malicious tool calls, and adds AutoRAG and observability features such as per-user token metering and MLflow agentic tracing. Red Hat says llm-d distributed inference now extends beyond OpenShift to third-party Kubernetes services, generally available on CoreWeave CKS and Microsoft Azure, with Amazon EKS in technology preview. USASI has not tested Red Hat AI 3.5.</description>
    </item>
    <item>
      <title>IBM releases Granite Speech 5.0 TurboCTC, two compact English speech recognition models</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/ibm-releases-granite-speech-5-0-turboctc/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On August 25, 2026 IBM's Granite team announced two 470M-parameter English speech recognition models on Hugging Face, granite-speech-5.0-470m-turboctc and granite-speech-5.0-470m-turboctc-nc. The first is released under Apache 2.0; the second, trained with additional data including GigaSpeech and SPGI Speech, is under the non-commercial CC-BY-NC-SA-4.0 license. IBM describes an encoder-only design with 16 Conformer blocks trained with CTC loss, and says that, unlike earlier Granite Speech models, which included an LLM with LoRA adapters, the new models lack capabilities such as speech translation and keyword biasing. USASI has not tested either model.</description>
    </item>
    <item>
      <title>IBM releases Granite 4.2 language models in 3B, 8B, and 30B sizes under Apache 2.0</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/ibm-releases-granite-4-2/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/ibm-releases-granite-4-2/</guid>
      <pubDate>Tue, 29 Sep 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>IBM released Granite 4.2 on August 25, 2026: dense, decoder-only language models with built-in reasoning in 3B, 8B, and 30B sizes, post-trained from IBM's own Granite 4.1 base models. The weights are published on Hugging Face under the Apache 2.0 license. The catalog has a release record for each size under the Granite family.</description>
    </item>
    <item>
      <title>WRITER releases Palmyra X6, post-trained on GLM 5.2, alongside WRITER Agent upgrades</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/writer-releases-palmyra-x6/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>WRITER announced Palmyra X6 on August 13, 2026 as its new flagship model, aimed at marketing and revenue workflows and designed to run inside the WRITER Agent harness. The announcement says X6 was post-trained on top of GLM 5.2, an open-weight model. The same release adds WRITER Agent features including batch execution, sub-agent delegation, support for enabling models from providers such as Anthropic and OpenAI, and bring-your-own-model support for Microsoft Azure, AWS Bedrock, and NVIDIA NIM. The announcement does not say whether Palmyra X6 weights are released. USASI has not tested Palmyra X6.</description>
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