Enterprise AI Strategy: Page

What competitive edge do AI-native companies have?

While AI has emerged as a powerful enterprise tool, many businesses struggle to integrate AI to its fullest potential. These lessons from AI-native companies can help.

By Stephen Bigelow • Oct. 7, 2026

Data centers aren’t enough: The real AI infrastructure is people

The AI race isn't won by chips alone -- it's won by preparing people to use them. Vasileios Maroulas explains that without workforce readiness, technology investments fall short.

By Vasileios Maroulas, PhD, associate vice chancellor, University of Tennessee, Knoxville • Oct. 6, 2026

The context factor for AI agents

Process Intelligence helps organizations provide AI agents with the right context and data needed to know how their businesses run.

By Esther Shittu , Shaun Sutner • Oct. 6, 2026

Prompt: AI is removing rungs from the corporate career ladder

AI is doing more junior-level work, forcing organizations to rethink how employees gain the experience and judgment they need to move into senior roles.

By Liz Hughes • Oct. 2, 2026

Evaluating agentic AI for demand forecasting

Agentic AI offers autonomous, goal-driven demand forecasting that adapts to disruption. CIOs must assess data infrastructure, explainability, integration costs and phased rollouts.

By Kishan Kumar • Oct. 1, 2026

The hidden cost of getting AI decisions wrong

FICO's Mike Trkay says the AI cost conversation focuses on tokens and models, but the real question isn't what a model costs to run -- it's what a wrong decision costs.

By Mike Trkay, CIO & chief customer officer at FICO • Oct. 1, 2026

Meta expands Muse to small businesses

The move comes as agentic AI plays an increasingly big part in business operations, sparking oversight concerns.

By Scarlett Evans • Oct. 1, 2026

Humanoid buildup overlooks the robots already running factories

Millions of robotic machines are already operating in factories worldwide, but oversight and safety standards risk falling behind.

By Scarlett Evans • Oct. 1, 2026

Physical AI security threats and how to mitigate them

Malicious prompt injections, sensor manipulation, hardware tampering and vulnerable software take on greater urgency when robotic systems interact with humans and the real world.

By Kathleen Richards • Sept. 30, 2026

Mind the gap, not the doom: An operational guide to AI pacing

Business leaders should focus on near-term AI risks and capabilities gaps rather than existential debates to survive coming disruptions.

By Chris Canal, co-founder at EquiStamp • Sept. 29, 2026

Salesloft targets token effectiveness to measure AI’s value

Some businesses riding the AI wave have high costs with little understanding of ROI. To bridge the gap, Salesloft is looking at token effectiveness metrics.

By Olivia Wisbey • Sept. 28, 2026

AI safety is falling behind the pace of development

Businesses need continuous monitoring, stronger guardrails and human oversight to keep increasingly capable AI systems under control.

By Scarlett Evans • Sept. 28, 2026

Supply chain AI agents: Where should autonomy begin and end?

AI agents can scan emails, audit invoices, flag billing issues, develop transactional data and negotiate contracts along the supply chain -- but they can't execute the deal (yet).

By Patrick Thibodeau • Sept. 25, 2026

Why soft skills matter more in the age of AI

AI success depends on human skills like adaptability, judgment and collaboration -- not just technical expertise. Organizations must rethink hiring to find talent that can evolve.

By Erin Rushman • Sept. 24, 2026

OpenAI takes AI price war to next level with GPT-6 Sol, Luna pricing

The vendor is reacting to U.S. rivals Google and Anthropic, as well as the growing popularity of open source models.

By Esther Shittu • Sept. 23, 2026

The automated workforce: Physical AI’s labor impact

Humanoid robots, autonomous vehicles and other machines will augment some jobs, replace others and create new roles. Emerging use cases include logistics and worker safety.

By John Moore • Sept. 22, 2026

Can Nvidia’s physical AI strategy replicate its AI dominance?

Nvidia is building a broad physical AI ecosystem across training, simulation and deployment, but in a fragmented market, the chipmaker will need to coexist before it can dominate.

By Liz Hughes • Sept. 21, 2026

AI changes the ROI equation. Here’s how some have found success

A significant portion of enterprises struggle to demonstrate clear ROI from AI initiatives, but some have found areas where AI can provide productivity gains and even revenue growth.

By Esther Shittu • Sept. 17, 2026

The AI safety crunch and how enterprises should deal with it

The competitive landscape, particularly the geopolitical clash between the U.S. and China, complicates the AI safety dilemma.

By Esther Shittu • Sept. 11, 2026

Key enterprise strategies for AI agent observability

Monitoring AI agents encompasses three pillars: agent intent, method and outcome. Explore all three, along with best practices for AI agent observability.

By Abhishek Jadhav • Sept. 9, 2026

To justify physical AI costs, choose high-value use cases

Physical AI is starting to drive business value in industries like manufacturing and healthcare. But the ROI calculus is subtle and calls for a wide-angle view of metrics.

By John Moore • Sept. 9, 2026

Using AI for revenue growth is elusive but possible, experts say

Shifting AI's ROI from productivity gains to financial revenue is tricky. Some firms, like TD Bank Group, are leading the way.

By Mary Pratt • Sept. 2, 2026

AI cybersecurity vs. AI cyberattacks: Who’s winning?

To stay ahead in the AI vs. AI cybersecurity race, businesses must incorporate the technology into detection, investigation, vulnerability management and response.

By Nihad Hassan • Sept. 1, 2026

Embodied AI vs. physical AI: Why their differences matter

When integrating physical AI into the workplace, successful planning and deployment depend on knowing robotics is more than an array of technologies embodied in a mechanical form.

By Stephen Bigelow • Aug. 27, 2026

Power-hungry AI data centers weigh viable energy sources

AI data centers are encountering political resistance in some communities, but they'll be built elsewhere. Survival depends on the power sources chosen and their availability.

By George Lawton • Aug. 19, 2026