Building AI That Actually Delivers: Six Principles for Turning Intelligence Into Impact

In the current landscape, AI is frequently positioned as the universal solvent for operational friction. From predictive forecasting to complex automation, "adding AI" is often framed as a shortcut to superior outcomes. However, intelligence without intent rarely creates value; in fact, MIT's "The GenAI Divide: State of AI in Business 2025" indicates that roughly 95% of enterprise AI projects fail to deliver measurable business impact.

MCP: What It Is and Why It Matters

AI's immense transformative potential may be undisputed, but it has a major problem: It is inherently difficult to integrate with real-world tools and systems like databases, calendars, CRMs, and financial platforms. As a result, developers are often stuck manually building custom integrations—an approach that's both cumbersome and time-consuming.

AI in Disaster Recovery: Mapping Technical Capabilities to Real Business Value

AI is no longer a speculative technology; it is a practical tool with clear, transformative implications for cyber resilience (CR) and disaster recovery (DR). While AI's potential is often overstated, its measured and strategic application can directly address some of the most persistent challenges in safeguarding organizational data and ensuring business continuity.

From Promise to Progress: Closing the Gap in Enterprise AI with Process Intelligence

In the rush to embrace artificial intelligence (AI), enterprises across industries have encountered a harsh reality: transformation takes more than technology. Two years ago, generative AI captured the imagination of business and technology leaders alike, promising to revolutionize operations and decision-making. Yet today, many organizations find themselves with pilot projects that are failing to scale, and AI investments that are falling short of expectations.

Unclogging the AI Data Pipeline—Three Critical Bottlenecks Constraining AI Clusters

It's not just GPUs, but memory, storage, and networking capabilities that determine AI infrastructure performance and efficiency.

2025: The Year of Breakthrough AI? Tech Leaders Predict the Next Stages of Enterprise AI

AI's influence is being felt everywhere, from chatbots that help people shop online to talk of autonomous drones or other Internet of Things devices that can act independently. 2025 shows no signs of slowing what organizations may want to tap into or create AI solutions for.

The AI Revolution: Bridging the Gap Between Potential and Readiness in the Data-Driven Era

AI talent is in high demand; AI reveals brain oscillations for memory and disease; AI may allow us to talk to whales; AI can help plan meals and other tasks; an AI platform for dentistry just raised $53 million. That was the tip of the AI news iceberg—in one day.

AI Agents Are the Next Wave of Enterprise AI

The interest surrounding artificial intelligence (AI) has never been higher, but AI agents are the next wave of innovation enterprises need to prepare for.