Enterprise AI Strategy: Page

AI sycophancy: When leaders are told what they want to hear

Agreeable AI can reinforce executives' bias in strategic, personnel and investment decisions. Leaders must build decision processes that resist AI sycophancy.

By Kashyap Kompella • Aug. 19, 2026

AI isn’t breaking higher education – it’s exposing the cracks

Higher education is built on inherited architecture that’s based on outdated assumptions. The question isn’t what AI tools to buy, but whether the fix needs a patch or rebuild.

By Robert Clougherty • Aug. 18, 2026

AI agent harnesses: The infrastructure behind autonomy

Harnesses are the scaffolding that turn a language model into a powerful, reliable agent capable of accurate autonomous action.

By Stephen Bigelow • Aug. 14, 2026

How Google’s AI search could revamp business strategy

As Google's AI search reshapes how users find and evaluate brands, enterprises need new strategies for visibility, authority and direct customer relationships.

By Kinza Yasar • Aug. 6, 2026

EU AI Act compliance deadline is here: What to watch

The EU AI Act's high-risk compliance deadlines have been delayed, but August 2 remains important. Here's what enterprises need to know about enforcement, governance and what comes next.

By Kinza Yasar • July 30, 2026

How to manage the gap between enterprise AI use and AI regulation

Companies are deploying AI across their organizations faster than lawmakers are building consistent rules to govern it, leaving CIOs to navigate an expanding patchwork of state requirements.

By Jon Polenberg • July 27, 2026

When orbital AI data centers become business reality

Shrinking launch costs, hyperscaler validation, serviceable hardware, manageable insurance risks and earthly energy constraints will thrust data centers into orbit and beyond.

By Sean Kerner • July 23, 2026

AI inference cost optimization: An enterprise guide

Inference is the largest long-term expense in enterprise AI deployments. Businesses can keep AI inference costs in check with these seven optimization strategies.

By Stephen Bigelow • July 21, 2026

Why AI writing can’t be great

In today's rapidly changing writing landscape -- just kidding. Most readers are savvy enough to recognize specific phrases as AI tells. Why does AI write like that, and why does it matter?

By Gabe Knuth • July 21, 2026

Businesses have AI tools. Why aren’t employees using them?

As enterprise AI deployments accelerate, businesses find workflow redesign, change management and employee trust, not just the tools, determine adoption success.

By Liz Hughes • July 16, 2026

To make policy, policymakers should use AI

Too often, policymakers base their organization's policies for AI usage on what they read in the news instead of first-hand experience working with the latest AI features.

By Gabe Knuth • July 15, 2026

AI and robotics yield bumper crops down on the farm

Autonomous tractors roam the fields 24/7, while AI, computer vision and machine learning harvest fruits, increase milk production, limit pesticides and boost crop yields.

By Chuck Martin • July 14, 2026

Bans on AI layoffs: Current laws and what might come next

An appellate court in China ruled that employers cannot cite AI as a reason for terminating employees. Is similar legislation likely to occur in the U.S.?

By Chris Tozzi • July 9, 2026

AI scaling is where most companies stall. Here’s why

Expanding AI use requires new operating models, talent and mindsets -- not just more resources. Companies fail because they try to scale experiments instead of redesigning systems.

By Rodrigo Domingues • July 9, 2026

AI in law offices: How it’s being used and the risks

Document discovery, court motions, patent protection, focus groups and client calls are tasks where AI saves law firms significant time and costs, while keeping humans in the loop.

By Esther Shein • July 8, 2026

The rise of the AI forward-deployed engineer

The bottleneck in enterprise AI has shifted from model access to deployment. Vendors are responding by embedding engineering teams directly inside customer environments.

By Kinza Yasar • July 2, 2026

7 machine learning challenges facing businesses

Machine learning challenges cover everything from ethical issues to data quality and user acceptance concerns. Learn about seven common obstacles.

By John Moore • June 30, 2026

AI is supposed to cut lots of jobs? Not so fast

Workers have long feared AI will one day displace them. But emerging evidence suggests otherwise: AI might preserve jobs, even as it reshapes roles and skill requirements.

By Liz Hughes • June 25, 2026

5 advantages of a semantic layer for enterprise AI

Semantic layers are an increasingly pivotal architecture for enterprise AI, enabling AI systems to more accurately identify relationships between conflicting data points.

By Donald Farmer • June 25, 2026

25 women pioneers who shaped AI’s evolution

From the very first algorithm in the 1840s to World War II's ENIAC to current Mythos headlines, women can stake claim to some of the most notable advancements in AI's history.

By George Lawton • June 23, 2026

10 machine learning benefits for businesses

CIOs and other IT leaders can gain an edge with machine learning, from customer retention to patient care. Blending ML with other AI elements opens new possibilities.

By John Moore • June 23, 2026

How to keep data silos from damaging your AI projects

Data silos impede successful AI operation. However, there are practical ways to connect data stores and improve AI outcomes.

By Stephen Bigelow • June 18, 2026

The best AI chatbots for 2026: Compare features and costs

AI chatbots are smarter, faster and more versatile than ever. See how top platforms like OpenAI's ChatGPT, Anthropic's Claude and Microsoft's Copilot stack up in this hands-on comparison.

By Damon Garn • June 18, 2026

12 top machine learning use cases and business applications

Machine learning applications in the era of GenAI and AI agents are increasing the efficiency and accuracy of everything from decision-making to maintenance to service delivery.

By Mary Pratt • June 18, 2026

Your AI advantage isn’t speed -- it’s judgment

Corporate AI strategies prioritize speed, but when everyone accelerates equally, the advantage disappears. Real competitive edge comes from using AI to sharpen strategic thinking.

By Eric Dodson Greenberg • June 16, 2026