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What Are Neoclouds and Why Does AI Need Them?

What Are Neoclouds and Why Does AI Need Them?

Neoclouds are new-generation of AI-focused cloud infrastructure providers. They differentiate themselves from traditional hyperscalers (such as AWS, …

The 6 Major Roles of AI Agents, Documented

The 6 Major Roles of AI Agents, Documented

The Digital Twin Consortium’s AI Agent Capabilities Periodic Table is a framework that offers a standardized approach for evaluating AI agent …

Report Shows AI Driving Automation in Software Development

Report Shows AI Driving Automation in Software Development

As AI systems grow more capable, the roles of human programmers may evolve significantly, offering insight into the broader transformation of skilled …

MCP: Enabling the Next Phase of Enterprise AI

MCP: Enabling the Next Phase of Enterprise AI

The Model Context Protocol (MCP) supports the development of AI agents that can perform complex tasks by interacting with multiple data sources and …

From Our Experts

Vibing on AI Governance

Vibing on AI Governance

As vibe coding makes its way into the enterprise and AI continues to evolve, it underscores the importance of applying the previous lessons learned through digital transformation.

A Real-World Approach to Automated, Structured Prompt Engineering

A Real-World Approach to Automated, Structured Prompt Engineering

Businesses seeking to make the most of prompt engineering would do well to adopt a strategy wherein they systematically rate the quality of responses to varying prompts.

What Are Neoclouds and Why Does AI Need Them?

What Are Neoclouds and Why Does AI Need Them?

Neoclouds are new-generation of AI-focused cloud infrastructure providers. They differentiate themselves from traditional hyperscalers (such as AWS, Azure, and GCP) by focusing on optimized GPU availability, flexible pricing, and specialized performance for AI/ML workloads, among other key features.

Conversational AI Debuts with Natural Language Cadence

Conversational AI Debuts with Natural Language Cadence

Conversational AI agents learn to pause, take turns, and resume speaking at the right times in this latest product update.

The 6 Major Roles of AI Agents, Documented

The 6 Major Roles of AI Agents, Documented

The Digital Twin Consortium's AI Agent Capabilities Periodic Table is a framework that offers a standardized approach for evaluating AI agent systems based on actual capabilities.

Real-time Analytics News for the Week Ending July 12

Real-time Analytics News for the Week Ending July 12

In this week’s real-time analytics news: Amazon Web Services (AWS) announced new capabilities in Sagemaker AI.

Why Some Companies Are Pumping the Brakes on AI

Why Some Companies Are Pumping the Brakes on AI

AI isn’t failing. It’s maturing, and the companies pulling back may be the ones thinking most clearly about what comes next.

Enabling a New Wave of Innovations with Agentic AI

Enabling a New Wave of Innovations with Agentic AI

Agentic systems will replace some roles. However, they will also create new opportunities to manage and develop the intelligent systems and ensure they remain on track.

Why Layered and Agentic AI Demand a New Kind of Data Infrastructure

Why Layered and Agentic AI Demand a New Kind of Data Infrastructure

Agentic AI success requires platforms that can serve as immutable sources of truth while providing real-time streaming capabilities, contextual event organization, and the ability to rehydrate historical data for new model requirements.

Beware of Vengeful AI Agents

Beware of Vengeful AI Agents

In simulated experiments, testers showed how easily AI agents can adopt self-preservation tactics when placed in high-stakes scenarios. Specifically, similar to disgruntled human employees, AI agents might take unethical actions to complete tasks and survive.

The AI Data Protection Revolution: Why Your Current Backup Strategy Won’t Cut It

The AI Data Protection Revolution: Why Your Current Backup Strategy Won’t Cut It

AI-ready data protection must deliver enterprise-grade security and compliance capabilities while maintaining the agility and performance that AI workloads demand.

IBM Reveals CEO Expectations, Concerns with AI Implementation

IBM Reveals CEO Expectations, Concerns with AI Implementation

Despite early setbacks, CEOs remain committed to AI, focusing on strategic leadership, measurable ROI, and workforce transformation to turn ambition into value.

Foundation Models Arrive in Radiology: One Network, Many Tasks

Foundation Models Arrive in Radiology: One Network, Many Tasks

Foundation models won’t replace radiologists, but they are already redrawing the job description. By catching faint signals, shaving minutes off critical paths, tailoring maps to unique anatomies, and flagging trouble long before symptoms appear, these neural generalists let physicians spend more time doing what only humans can do.

The Growing Importance of Securing MCP Servers for AI Agents

The Growing Importance of Securing MCP Servers for AI Agents

As MCP servers become the backbone of multi-agent AI systems, their design and protection demand first-class architectural status.

Agentic AI in Industry: The Technologies That Will Deliver Results

Agentic AI in Industry: The Technologies That Will Deliver Results

Agentic AI promises to move industrial automation from rigid workflows to adaptive, intelligent systems. But the path forward isn't purely technical. It demands investment in infrastructure, culture, and trust.

Report Shows AI Driving Automation in Software Development

Report Shows AI Driving Automation in Software Development

As AI systems grow more capable, the roles of human programmers may evolve significantly, offering insight into the broader transformation of skilled work in the AI era.

5 Things Every DBA Needs to Do Today to Ensure AI Compliance for Tomorrow

5 Things Every DBA Needs to Do Today to Ensure AI Compliance for Tomorrow

By enforcing robust data governance policies, implementing AI-auditing frameworks, fortifying access controls, streamlining documentation, and staying informed about evolving standards, DBAs can navigate the complex intersection of AI and data compliance with confidence.

The Rise of Agentic GBS: Orchestrating Intelligence Across the Enterprise

The Rise of Agentic GBS: Orchestrating Intelligence Across the Enterprise

For companies determined to future-proof their operations, now is the time to reimagine GBS as the orchestrator of enterprise intelligence.

Digital Twins Pave Way for AI-Enabled Smart Factories

Digital Twins Pave Way for AI-Enabled Smart Factories

Manufacturers find that the integration of digital twins, AI, and simulation technologies supports advanced plant modeling, simulation, planning, and operations management.

Quantum Image Encryption for Next-Generation Data Security

Quantum Image Encryption for Next-Generation Data Security

A new encryption algorithm uses quantum key images to deliver advanced protection for sensitive visual data across finance, healthcare, government, and IoT systems.

Working at the Edge: Realizing the Full Value of Distributed Intelligence and Its Role in Modern Data Strategy

Working at the Edge: Realizing the Full Value of Distributed Intelligence and Its Role in Modern Data Strategy

The edge has become an active layer of enterprise execution, where decisions are made, value is created, and real work gets done. As organizations continue to modernize their infrastructure and connect data with action, the ability to operate effectively at the edge will separate those moving forward from those still trying to keep up.

AI Agents in Industrial Operations: Build or Buy?

AI Agents in Industrial Operations: Build or Buy?

The build-vs-buy decision is not just about cost or control. It’s about aligning an approach to AI with an organization’s long-term digital ambitions, organizational capabilities, and operational realities.

Real-time Analytics News for the Week Ending June 28

Real-time Analytics News for the Week Ending June 28

In this week’s real-time analytics news: The Linux Foundation launched a new project focusing on secure AI agent-to-agent communications and collaboration.

Corporate AI Governance: Best Practices for a Secure and Ethical Future

Corporate AI Governance: Best Practices for a Secure and Ethical Future

AI governance cannot be treated as an IT problem alone. It is an enterprise-wide challenge requiring strategic alignment, operational rigor, and cultural change.

How AI Is Forcing an IT Infrastructure Rethink

How AI Is Forcing an IT Infrastructure Rethink

A recent report reveals IT leaders are rearchitecting legacy systems to support scalable, secure, and cloud-integrated infrastructure for their AI efforts.