Systems | Development | Analytics | API | Testing

ClearML

Why You Need to Secure AI & ML Access that Supports Remote Workers

Apr 17, 2025 By ClearML In ClearML
Even in light of recent return-to-work mandates, it’s clear that the way we work has changed. Remote and hybrid teams are now the norm, and while this shift has brought flexibility, it’s also introduced unique challenges for AI and ML teams. One of the most pressing issues is ensuring seamless access to the compute resources needed to run machine learning workloads.
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astera

The Agentic Enterprise: How AI Agents Will Run the Future of Work

Apr 17, 2025 By Mariam Anwar In Astera
The workplace is on the brink of a transformation unlike anything we’ve seen before. With the rise of AI agents—autonomous software entities capable of executing tasks, making decisions, and even optimizing workflows—the way we define work itself is evolving. While automation and AI-assisted processes have been gradually reshaping industries, the concept of the agentic enterprise takes this a step further, shifting from AI as a tool to AI as an active participant in business operations.
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astera

7 Key Considerations For Enterprises When Building AI Agents

Apr 17, 2025 By Raza Ahmed Khan In Astera
AI agents are all the rage these days. Poised as the next big thing after Gen AI…is there substance underneath all the hype? The answer is a resounding yes. For instance, the 2024 State of AI Agents report revealed that 51% of AI professionals are already using AI agents, while 78% of enterprises and mid-sized companies have active plans to put AI agents into production. However, doing this successfully requires paying attention to certain key factors.
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EP 19 | Leading in the Age of AI with Dr. Maya Dillion

Apr 16, 2025 By Cloudera, Inc. In Cloudera
As AI becomes a regular topic in boardrooms, many executives face critical blind spots around strategy, governance, and implementation. Few are AI-native, and many struggle to connect high-level goals with practical, accountable systems. In this episode of The AI Forecast, host Paul Muller speaks with Dr. Maya Dillon, an astrophysicist turned AI thought leader and CEO of consultancy XSAIA. Maya emphasizes the need for human-centric leadership in AI and the importance of understanding the holistic impact of AI on businesses.
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kong

Terraform Your Way to the Cloud with Konnect Dedicated Cloud Gateways

Apr 16, 2025 By Declan Keane In Kong
Imagine a world where you could deploy your API gateways across any cloud, enforce enterprise-grade policies, and meet compliance standards all within a single Terraform apply. Most teams think about infrastructure as code only in terms of spinning up VMs, networking components, databases, or maybe a Kubernetes cluster. But what if your API platform was just as programmable? With Kong’s Konnect platform and its support for Terraform, that reality is here today!
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perforce

The AI Compliance Crisis: Are You Prepared?

Apr 16, 2025 By Perforce In Perforce
Organizations are increasingly adopting AI to make quick decisions, understand data, and automate processes. However, this innovation comes at the cost of navigating complex data and AI compliance regulations. While AI regulations are still evolving worldwide, existing privacy laws and regulatory frameworks already apply to AI implementations. These laws, such as GDPR, CCPA, and HIPAA, create a complicated landscape for businesses.
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dreamfactory

From SOAP to REST: Why DreamFactory's Approach to API Design Matters in the Age of MCP

Apr 16, 2025 By Terence Bennett In DreamFactory
REST APIs are now the backbone of modern systems, powering 83% of APIs, while SOAP lags behind at 15%. Why? REST is faster, simpler, and better suited for today’s needs, including AI and MCP (Model Context Protocol). DreamFactory makes this transition easy with automated REST API generation, robust security, and scalability. Here’s what you need to know.
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astera

Enterprise AI Strategy: Why AI Agents Should Be Your First Step

Apr 16, 2025 By Usman Hasan Khan In Astera
Since Generative Artificial Intelligence (GenAI) captured mainstream attention a few years ago, businesses have been looking for ways to implement AI into their operations. There are some obvious reasons for this shift: saved time, increased productivity, and decreased need for manual effort. But there’s also another factor at play—the realization that not embracing AI now means getting left behind by the competition.
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astera

Understanding Autonomous AI Agents

Apr 16, 2025 By Khurram Haider In Astera
We’ve all heard of digital assistants that perform specific tasks based on our requests. But what if these digital assistants could operate with ever more autonomy? While this requires an intelligent system, such as an autonomous AI agent, capable of recognizing opportunities and acting on them without constant human input or explicit instructions, the good news is that organizations no longer need specialized developers to build their own agents.
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