Enterprise AI

Explore articles tagged with Enterprise AI

#AI#OpenAI#ChatGPT

Amazon’s OpenAI gambit signals a new phase in the cloud wars — one where exclusivity no longer applies

Amazon Web Services on Tuesday launched one of the most consequential enterprise AI plays in the company's 20-year history, simultaneously bringing OpenAI's most powerful models to its Bedrock platform, unveiling a new agentic developer framework, releasing a desktop AI productivity tool called Amazon Quick, and expanding its Amazon Connect service from a single contact-center product into a family of four agentic AI solutions targeting supply chains, hiring, healthcare, and customer experience.

#AI#Machine Learning#AI Models

New IDC: How EMEA CIOs can jumpstart AI rollouts

Getting stalled enterprise AI rollouts in the EMEA region moving again will require CIOs to aggressively audit their systems. Over the past 18 months, AI deployments across Europe advanced far beyond initial testing.

#AI#OpenAI#ChatGPT

Elon Musk and Sam Altman are going to court over OpenAI’s future

After a yearslong legal feud, Elon Musk and OpenAI CEO Sam Altman are heading to trial this week in Northern California in a case that could have sweeping consequences. Ahead of OpenAI’s highly anticipated IPO, the court could rule on whether the company is allowed to exist as a for-profit enterprise and might even oust….

#AI#AI Models#Machine Learning

Context decay, orchestration drift, and the rise of silent failures in AI systems

The most expensive AI failure I have seen in enterprise deployments did not produce an error. No dashboard turned red.

#AI#Large Language Models#NLP

Monitoring LLM behavior: Drift, retries, and refusal patterns

The stochastic challenge Traditional software is predictable: Input A plus function B always equals output C. This determinism allows engineers to develop robust tests.

#AI#Enterprise AI#Business

Why AI agents need interaction infrastructure

To stop automation waste, enterprises must deploy interaction infrastructure that physically governs how independent AI agents operate. AI agents now populate corporate networks, reasoning through tasks and executing decisions with increasing autonomy.

#AI#ChatGPT#OpenAI

OpenAI unveils Workspace Agents, a successor to custom GPTs for enterprises that can plug directly into Slack, Salesforce and more

OpenAI introduced a new paradigm and product today that is likely to have huge implications for enterprises seeking to adopt and control fleets of AI agent workers. Called "Workspace Agents," OpenAI's new offering essentially allows users on its ChatGPT Business ($20 per user per month) and variably priced Enterprise, Edu and Teachers subscription plans to design or select from pre-existing agent templates that can take on work tasks across third-party apps and data sources including Slack, Goog.

#AI#Anthropic#Claude

Anthropic’s Claude Managed Agents gives enterprises a new one-stop shop but raises vendor 'lock-in' risk

Anthropic announced a new platform last week, Claude Managed Agents, aiming to cut out the more complex parts of AI agent deployment for enterprises and competes with existing orchestration frameworks. Claude Managed Agents is also an architectural shift: enterprises, already burdened with orchestrating an increasing number of agents, can now choose to embed the orchestration logic in the AI model layer.

#AI#Enterprise AI#Business

Amazon S3 Files gives AI agents a native file system workspace, ending the object-file split that breaks multi-agent pipelines

AI agents run on file systems using standard tools to navigate directories and read file paths. The challenge, however, is that there is a lot of enterprise data in object storage systems, notably Amazon S3.

#AI#AI Models#Machine Learning

As models converge, the enterprise edge in AI shifts to governed data and the platforms that control it

Presented by Box As frontier models converge, the advantage in enterprise AI is moving away from the model and toward the data it can safely access. For most enterprises, that advantage lives in unstructured data: the contracts, case files, product specifications, and internal knowledge.

#AI#AI Models#Machine Learning

OCSF explained: The shared data language security teams have been missing

The security industry has spent the last year talking about models, copilots, and agents, but a quieter shift is happening one layer below all of that: Vendors are lining up around a shared way to describe security data. The Open Cybersecurity Schema Framework (OCSF), is emerging as one of the strongest candidates for that job.

#AI#Autonomous Systems#Robotics

Breaking: KiloClaw targets shadow AI with autonomous agent governance

With the launch of KiloClaw, enterprises now have a tool to enforce governance over autonomous agents and manage shadow AI. While businesses spent the last year securing large language models and formalising vendor agreements, developers and knowledge workers started moving on their own.

#AI#Anthropic#Claude

In the wake of Claude Code's source code leak, 5 actions enterprise security leaders should take now

Every enterprise running AI coding agents has just lost a layer of defense. On March 31, Anthropic accidentally shipped a 59.

#AI#Enterprise AI#Business

The consequential AI work that actually moves the needle for enterprises

Presented by OutSystems After two years of flashy AI demos, rushed agent prototypes, and breathless predictions, enterprise technology leaders are striking a more pragmatic tone in 2026. In a recent webinar hosted by OutSystems, a panel of software executives and enterprise practitioners made the case that the most consequential AI work happening now is focused on the practical matters of governance, orchestration, and iteration, along with integrating agents into the systems they've spent dec.

#AI#Autonomous Systems#Robotics

Nvidia launches enterprise AI agent platform with Adobe, Salesforce, SAP among 17 adopters at GTC 2026

Jensen Huang walked onto the GTC stage Monday wearing his trademark leather jacket and carrying, as it turned out, the blueprints for a new kind of monopoly. The Nvidia CEO unveiled the Agent Toolkit, an open-source platform for building autonomous AI agents, and then rattled off the names of the companies that will use it: Adobe, Salesforce, SAP, ServiceNow, Siemens, CrowdStrike, Atlassian, Cadence, Synopsys, IQVIA, Palantir, Box, Cohesity, Dassault Systèmes, Red Hat, Cisco and Amdocs.

#AI#AI Models#Machine Learning

NTT DATA and NVIDIA bring enterprise AI factories to production scale

NTT DATA has announced an initiative to deliver NVIDIA-powered platforms designed to give organisations a repeatable, production-ready model for scaling AI. The offering integrates NVIDIA’s GPU-accelerated computing and high-performance networking with NVIDIA AI Enterprise software, including NeMo and NIM Microservices, into a full-stack agentic AI platform that can be deployed in cloud and edge environments.

#AI#AI Models#Machine Learning

Fixing AI failure: Three changes enterprises should make now

Recent reports about AI project failure rates have raised uncomfortable questions for organizations investing heavily in AI. Much of the discussion has focused on technical factors like model accuracy and data quality, but after watching dozens of AI initiatives launch, I’ve noticed that the biggest opportunities for improvement are often cultural, not technical.