Enterprise AI Strategy: Page

What to know about synthetic data as a business advantage

Synthetic data mimics real data without sensitive information. It offers cost-effective options and competitive advantages for AI training, software testing and data monetization.

By Stephen Bigelow • Jan. 31, 2026

10 AI business use cases that produce measurable ROI

When justifying their investments in AI deployments, business leaders know keeping up with the Joneses isn't enough without uncovering a positive ROI. Here's where to find it.

By Kathleen Richards • Jan. 30, 2026

AI’s business future: What’s to come in the next 5 years

Five years can seem like an eternity in a world where AI's technological advancements occur almost daily, but best to be prepared now and avoid "future shocks."

By John Burke • Jan. 27, 2026

Context engineering takes prompting to a higher business level

In the care and feeding of AI models and chatbot interfaces, prompting alone can be a fool's errand in strategic business planning without the proper context to interpret prompts.

By Chris Tozzi • Jan. 23, 2026

The dollars and sense of implementing AI

Calculating ROI of an AI project to prove business value requires a complicated mix of costs, including data prep, infrastructure, integration, staffing, training and power needs.

By John Burke • Jan. 21, 2026

How to prepare your business for agentic AI adoption

Agentic AI adoption can go awry without a clear plan in place. Use this guide to ensure AI agents are deployed correctly and optimized for successful business outcomes.

By Chris Tozzi • Jan. 8, 2026

The future of generative AI: 10 trends to follow in 2026

GenAI's outlook focuses on ROI expectations, power demands, data quality, agentic orchestration, plug-and-play LLMs, ethical practices, stepped-up security and human oversight.

By Mary Pratt • Jan. 8, 2026

How to build an AI-augmented workforce: The CIO’s guide

An AI-augmented workforce pairs humans with AI to boost performance. Learn ways to build it, review examples, know the challenges and explore future trends shaping enterprise roles.

By Kinza Yasar • Jan. 6, 2026

10 AI topics for 2026 that enterprise leaders need to know

Use these trending AI topics to inform your organization's strategy for 2026 and position it for future success.

By Damon Garn • Jan. 5, 2026

What is a data scientist? What do they do?

A data scientist is an analytics professional who collects, analyzes, and interprets data to transform it into actionable insights that can facilitate decision-making.

By Rahul Awati , Bridget Botelho , Nicole Laskowski • Dec. 24, 2025

How AI is transforming project management in 2026

As the project management field increasingly embraces AI-powered software, the benefits can help organizations thrive -- but only if the risks are properly considered too.

By Mary Pratt • Dec. 18, 2025

9 key benefits of AI for business

Leading AI experts sound off on some of the top areas where AI deployments can positively impact business operations and services.

By Mary Pratt • Dec. 5, 2025

Evaluate 10 AI chatbots for business use cases

Businesses are bypassing out-of-the-box AI for custom chatbots tailored to their complex needs. Explore these 10 AI chatbot platforms for building business-ready assistants.

By Kashyap Kompella • Dec. 3, 2025

How engineers can build a machine learning model in 8 steps

Building a machine learning model is a multistep process involving data collection and preparation, training, evaluation and ongoing iteration. Follow these steps to get started.

By Stephen Bigelow • Dec. 2, 2025

How AI can improve 5G telecommunications for enterprises

AI is helping make 5G networks more resilient, integrated and easy to implement. That makes private 5G networks for enterprises a clearly superior alternative to Wi-Fi.

By George Lawton • Dec. 2, 2025

10 AI and machine learning trends to watch in 2026

AI is reshaping virtually every aspect of business operations. Stay ahead of the curve by exploring these 10 emerging AI trends for 2026.

By Stephen Bigelow • Nov. 25, 2025

What are AI agents? Types and examples

AI agents are autonomous intelligent software components that form the foundation of artificial intelligence (AI) systems.

By Kinza Yasar, Stephen Bigelow • Nov. 20, 2025

What is an intelligent agent? Definition, use cases and benefits

An intelligent agent is a program that can perceive its environment, make decisions, take action and perform services based on its environment, user input and previous experiences.

By Cameron Hashemi-Pour, Stephen Bigelow • Nov. 4, 2025

3 enterprise AI horror stories for CISOs from 2025

In a race to adopt innovative technology, organizations across the globe made mistakes in enterprise AI deployment. What lessons can you learn from this year's AI horror stories?

By Everett Bishop • Oct. 29, 2025

Agentic AI explained: Key concepts and enterprise use cases

Agentic AI refers to artificial intelligence systems that are capable of autonomous action and decision-making.

By Olivia Wisbey , Lev Craig • Oct. 28, 2025

How ReAct agents can transform the enterprise

Humans solve complex problems with reasoning and actionable steps. Now, agentic AI can do the same. Are ReAct agents the future of enterprise problem-solving?

By Everett Bishop, Stephen Bigelow • Oct. 22, 2025

Agentic AI architecture: An enterprise guide

Agentic architectures can work independently to automate and orchestrate complex tasks in manufacturing, retail operations and supply chains but they present several challenges.

By Stephen Bigelow • Oct. 9, 2025

How agentic RAG supports effective business workflows

AI agents can complete business tasks with little to no human intervention. What if they could access domain-specific knowledge when completing those tasks?

By Marius Sandbu • Oct. 8, 2025

What is AI agent memory? Types, tradeoffs and implementation

AI agents with short- and long-term memory leapfrog simple task-oriented assignments into areas of autonomy, pattern recognition, personalization and strategic business planning.

By Stephen Bigelow • Oct. 3, 2025

Compare AI agents vs. RPA: Key differences and overlap

Choosing the right automation strategy isn't just about efficiency -- businesses need to consider adaptability and reliability too.

By Kashyap Kompella • Sept. 30, 2025