# enterprise deployment The distribution and rollout of software across an organization's managed systems. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## From Hugging Face to Amazon SageMaker Studio in one click DevFeed: [From Hugging Face to Amazon SageMaker Studio in one click]() Original publisher: [Read original article]() Author: Hazim Qudah; Naidile Murali; Jeff Boudier; Simon Pagezy; Enrique Hernández Calabrés Published: 2026-07-07T21:15:33Z Content type: release Language: en Sources: [Hugging Face - Blog]() Topics: [Amazon SageMaker AI](), [hugging face](), [Amazon Web Services](), [AWS IAM](), [Deployment](), [Fine-tuning](), [enterprise deployment](), [Serverless]() Tags: [amazon-sagemaker-ai](), [aws](), [cloud](), [data](), [deployment](), [fine-tuning](), [hugging-face](), [iam](), [serverless]() ### AI overview Hugging Face and Amazon SageMaker AI now provide a one-click path from supported model pages to SageMaker Studio. The integration can create a configured Studio environment and preserve model context for customization, fine-tuning, training, experimentation, and endpoint deployment. ### Source excerpt Previously, getting started on SageMaker Studio after discovering a model on Hugging Face required navigating multiple steps between opening Amazon SageMaker AI in the AWS Console, creating a domain, configuring IAM permissions, and sometimes requesting GPU quota. For developers who want to iterate quickly, this friction slows down the path from inspiration to experimentation. The integration creates a more direct path from discovery to enterprise deployment. ## OpenAI launches DeployCo to help businesses build around intelligence DevFeed: [OpenAI launches DeployCo to help businesses build around intelligence]() Original publisher: [Read original article]() Published: 2026-05-11T06:00:00Z Content type: news Language: en Sources: [OpenAI News]() Topics: [OpenAI](), [AI Platforms/Deployment](), [enterprise deployment](), [Frontier AI](), [Artificial Intelligence]() Tags: [acquisition](), [ai-adoption](), [applied-ai](), [company](), [deployment](), [enterprise-deployment](), [frontier-ai](), [industry](), [openai](), [partners]() ### AI overview OpenAI announces the OpenAI Deployment Company, a new organization intended to help businesses build and deploy reliable AI systems. It will embed Forward Deployed Engineers with organizations, redesign workflows and infrastructure, and support AI adoption. The company will launch following OpenAI's planned acquisition of Tomoro, bringing approximately 150 deployment specialists, and will begin with more than $4 billion in investment. ### Source excerpt OpenAI launches DeployCo, a new enterprise deployment company built to help organizations bring frontier AI into production and turn it into measurable business impact. ## PowerShell MSI package deprecation and preview updates DevFeed: [PowerShell MSI package deprecation and preview updates]() Original publisher: [Read original article]() Author: Jason Helmick Published: 2026-04-10T14:46:23Z Content type: article Language: en Sources: [PowerShell Team]() Topics: [PowerShell](), [PowerShell Release](), [Accessibility](), [Deployment Tools](), [Windows](), [releases](), [enterprise deployment](), [Tooling]() Tags: [accessibility](), [announcements](), [deployment-tools](), [enterprise-deployment](), [net](), [powershell](), [powershell-release](), [releases](), [tooling](), [updates](), [windows]() ### AI overview The PowerShell team announces that MSIX will become the primary Windows installation method starting with PowerShell 7.7-preview.1. MSI packages will continue for existing releases, including PowerShell 7.6, but are not planned for PowerShell 7.7 GA and later releases. The change is driven by MSIX's modern servicing model, reliability, update support, and accessibility goals, while the team works to address gaps involving remoting, system-level services, and enterprise deployment. ### Source excerpt This post announces the deprecation of MSI packaging beginning with PowerShell 7.7. The post PowerShell MSI package deprecation and preview updates appeared first on PowerShell Team. ## Granite 4.0 3B Vision: Compact Multimodal Intelligence for Enterprise Documents DevFeed: [Granite 4.0 3B Vision: Compact Multimodal Intelligence for Enterprise Documents]() Original publisher: [Read original article]() Author: Madison Lee; Rogerio Feris; Eli Schwartz; Dhiraj Joshi; Pengyuan Li; Isaac Sanchez Published: 2026-03-31T15:10:41Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [multimodal](), [dataset](), [synthetic-data](), [lora](), [Language models](), [enterprise deployment]() Tags: [code](), [data](), [data-augmentation](), [deployment](), [enterprise-deployment](), [language-models](), [lora](), [model](), [multimodal](), [training](), [vision]() ### AI overview Granite 4.0 3B Vision is a compact multimodal model for enterprise document understanding. It extracts tables, interprets charts, and identifies semantic key-value pairs, using a LoRA adapter, visual-language capabilities, and the ChartNet dataset to support structured chart reasoning and document-processing pipelines. ### Source excerpt - Table Extraction: Accurately parsing complex table structures (e.g., multi-row, multi-column, etc.) from document images - Chart Understanding: Converting charts and figures into structured machine-readable formats, summaries, or executable code - Semantic Key-Value Pair (KVP) Extraction: Identifying and grounding semantically meaningful key-value field pairs across diverse document layouts The model ships as a LoRA adapter on top of Granite 4.0 Micro, our dense language model, keeping... ## Accelerating the next phase of AI DevFeed: [Accelerating the next phase of AI]() Original publisher: [Read original article]() Published: 2026-03-31T13:00:00Z Content type: news Language: en Sources: [OpenAI News]() Topics: [AI Chat](), [enterprise deployment]() Tags: [ai](), [amazon](), [apis](), [chatgpt](), [codex](), [company](), [compute](), [developer](), [developers](), [enterprise](), [frontier-ai](), [infrastructure](), [microsoft](), [nvidia](), [openai]() ### AI overview OpenAI announces $122 billion in committed funding to expand AI infrastructure, compute capacity, and products including ChatGPT and Codex. ### Source excerpt OpenAI raises $122 billion in new funding to expand frontier AI globally, invest in next-generation compute, and meet growing demand for ChatGPT, Codex, and enterprise AI. ## LongNosedGoblin tries to sniff out governmental affairs in Southeast Asia and Japan DevFeed: [LongNosedGoblin tries to sniff out governmental affairs in Southeast Asia and Japan]() Original publisher: [Read original article]() Author: Anton Cherepanov Peter Strýček Published: 2025-12-18T10:00:00Z Content type: article Language: en Sources: [WeLiveSecurity]() Topics: [backdoor](), [.NET](), [enterprise deployment]() Tags: [apt](), [backdoor](), [browser](), [c-sharp](), [china](), [cloud](), [cloud-services](), [eset-research](), [google](), [japan](), [malware](), [microsoft](), [net](), [policy](), [techniques](), [windows]() ### AI overview ESET describes LongNosedGoblin, a China-aligned APT group conducting cyberespionage against governmental entities in Southeast Asia and Japan. The group deploys malware through Group Policy and uses tools including the NosyDoor backdoor and the C#/.NET NosyHistorian application. ### Source excerpt ESET researchers discovered a China-aligned APT group, LongNosedGoblin, which uses Group Policy to deploy cyberespionage tools across networks of governmental institutions ## Announcing ClickHouse Cloud Audit add-on for Splunk DevFeed: [Announcing ClickHouse Cloud Audit add-on for Splunk]() Original publisher: [Read original article]() Author: ClickHouse Published: 2025-01-22T00:00:00Z Content type: release Language: en Sources: [ClickHouse Blog]() Topics: [clickhouse](), [Splunk Cloud](), [API](), [API keys](), [enterprise deployment](), [Monitoring](), [Documentation]() Tags: [analytics](), [api](), [api-keys](), [clickhouse](), [deployment](), [documentation](), [enterprise-deployment](), [logs](), [monitoring](), [splunk-cloud]() ### AI overview ClickHouse announces a Splunk add-on that securely pulls ClickHouse Cloud audit logs through the ClickHouse Cloud API and makes them available for storage, search, exploration, and analytics in Splunk. The article explains installation in Splunk Enterprise, configuration with an Organization ID and admin API key, and the pending availability of Splunk Cloud support. ### Source excerpt Discover the new Splunk add-on that simplifies ingesting ClickHouse Cloud audit logs. Now available for download on Splunkbase. ## GPO: Instalacja GIMP'a 2.8 DevFeed: [GPO: Instalacja GIMP'a 2.8]() Original publisher: [Read original article]() Author: Tom Published: 2013-08-06T00:00:00Z Content type: tutorial Language: pl Sources: [Tomasz Gągor]() Topics: [Batch file](), [active directory](), [enterprise deployment](), [Script](), [Windows](), [configuration](), [App]() Tags: [active-directory](), [code](), [gpo](), [install](), [installation](), [policies](), [startup](), [windows]() ### AI overview A Polish tutorial explains how to deploy GIMP 2.8 through an Active Directory Group Policy startup script on Windows. The batch script checks whether GIMP is installed, silently removes an earlier manually installed version, and installs GIMP 2.8 from a network share. ### Source excerpt Raz na jakiś czas trzeba coś niestandardowego wrzucić do instalacji w Active Directory a że nie wszystkie aplikacje mają dostępne paczki MSI to trzeba się nieco natrudzić. Poniżej wrzucam skrypt, który instaluje GIMP'a 2.8 z domyślnego instalatora (wersja InnoSetup) przy okazji odinstalowując wcześniejsze wersje zainstalowane ręcznie. Zapisujemy poniższy kod jako np. gimp-install.cmd @echo off REM Installs GIMP cls echo ---------------------------------------------------- echo . echo . echo . Installing/Updating GIMP - Please Wait echo . echo . echo ---------------------------------------------------- REM Test if actual IF exist "%ProgramFiles%\GIMP\bin\gimp-2.8.exe" GOTO SkipInstall REM Exit the application taskkill.exe /F /FI "IMAGENAME eq gimp-2.8.exe" >nul REM Uninstall existing GIMP version, delete folder if exist "%ProgramFiles%\GIMP 2\uninst\unins000.exe" "%ProgramFiles%\GIMP 2\uninst\unins000.exe" /VERYSILENT :: Wait for 20 seconds ping -n 40 127.0.0.1 > NUL if exist "%ProgramFiles%\GIMP 2\" rd "%ProgramFiles%\GIMP 2\" /Q /S REM Install new version "\\serwerplikow.local\Instalki\GIMP\gimp-2.8.4-setup.exe" /VERYSILENT /NORESTART /DIR="%PROGRAMFILES%\GIMP 2.8" REM Skip installation if acctuall :SkipInstall REM Return exit code to SCCM exit /B %EXIT_CODE% Tworzymy nową regułkę GPO i zmierzamy do: Computer Configuration\Policies\Windows Settings\Scripts\Startup W nowym okienku wybieramy Show Files... Wklejamy plik skryptu do tego folderu i teraz możemy dodać go w tym samym oknie (Add...) - dzięki wrzuceniu skryptu w tym miejscu będzie się on automatycznie replikować na inne kontrolery. Skrypt będzie co prawda uruchamiany przy każdym starcie komputera ale pierwszy warunek będzie sprawdzać czy aplikacja jest zainstalowana więc nie spowolni to znacznie startu. ## Why the enterprise cant reach consumers DevFeed: [Why the enterprise cant reach consumers]() Original publisher: [Read original article]() Author: Map Published: 2009-09-08T03:21:08Z Content type: opinion Language: en Sources: [Craig Kerstiens]() Topics: [Development](), [Users](), [enterprise deployment](), [Requirements](), [X (Twitter)]() Tags: [development](), [enterprise](), [requirements](), [twitter](), [users]() ### AI overview The article contrasts enterprise development, characterized by established corporate structures and waterfall planning, with startup development based on releasing early and often. It argues that consumer products should be launched quickly so real users can reveal what they want, rather than relying primarily on requirements gathering, user groups, laboratory tests, or invite-only betas. ### Source excerpt Most of my working career has been in what many would call an enterprise environment. Corporate structure well in place at most of them and in those cases any development followed closely to a waterfall methodology. You laid out requirements strictly and then built to those requirements. You essentially had nothing to show until you got to the end product. Having been in the valley for several years and interacting with some startups and in other settings, I've seen a very opposite mindset. The "release early, release often" concept. First you never have clear requirements when dealing with anything a startup should be tackling, if it's a very clear easy to solve problem, then someone else will have already tackled it. If you're doing something new, which you should be you can't gauge how users react, until you actually have something in front of them. A prime example would be twitter. Twitter was a simple concept, yet it has been done before in many ways, what's the difference in blogging and twitter? Well twitter requires you're shorter, has no title, just content, and centralizes the data. It actually incredibly reduced what the user could do, and in doing that created new and broader functionality. As a more general principle users don't know what they want. Users will complain about how gmail doesn't have folders, but they use folders in outlook only because they can't properly search. If you take away something from a user, they're going to complain about it. This is fine, it's not a problem, as long as they didn't actually use the feature, and there's other steps you can use to manage this backlash. But I'd believe the over arching key is that you can't ask users what they want. If you presume to know you're going to be wrong, so what does this mean. This means that you build something and you launch it. You don't test it in user groups, you don't test it in a lab, you don't test it in an invite only beta, you launch it. You launch for users, and if they don'