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Joseph Ours

Joseph Ours

Director | AI Strategy

Joseph specializes in Artificial Intelligence, Modern Application Development, Cloud, Quality Assurance, and DevOps, leveraging Lean and Agile practices. Over the past 25 years, Joseph has guided organizations through technology and team modernization and is located in Columbus, Ohio. Outside work, he’s passionate about the latest in technology and science, enjoys cooking, and spending time with family time. Follow Joseph on LinkedIn.

3 AI And Cybersecurity Conversations Business Leaders Aren’t Having

In this segment of Joseph Ours’ column, Joseph discussed why you need to be talking about how AI and cybersecurity intertwine.

How To Use AI Agents As A Secret Weapon In The AI Arms Race

In this Joseph Ours' Forbes Technology Council column, Joseph talks about the rise of AI agents and how these tools can help your business.

Executives’ Top 14 ChatGPT FAQs: An AI-Curated Resource

Overwhelmed by questions about ChatGPT? So were we. So, we asked ChatGPT to help us sort it out and pulled the results into this FAQ.

Why Small Language Models Will Transform How You Experience AI Forever

LLM is the term most people are familiar with when they think about AI. But small language models are also important.

A Business Leader’s Guide to Choosing Top Enterprise-Ready LLMs

AI expert Joseph Ours helps business leaders decide which enterprise-ready LLM is right for your company's needs.

Why AI Agent Memory Is Not A Substitute For Proper Design

AI agent memory can mask unfinished design — research shows reflective agents needing 7-8x more tries. Learn when memory helps agents and when it hides deeper flaws.

Enterprise AI Governance Is Missing Its Third Layer

Discover why enterprise AI governance needs a third layer to manage AI at scale, reduce risk and turn governance into a business advantage.

How to Control Agentic AI Costs Before They Outrun Your Budget

Learn how to control AI agent costs with smarter use cases, cost visibility, governance, and budgeting strategies before scaling agentic AI.

10 Tempting AI Business Applications We Refuse to Build (and Why You Should Too)

Learn which AI business applications create unnecessary risk and what organizations should build instead.

How to Build Agentic AI That Works: Start With the Problem

Most agentic AI projects fail before the pilot starts. Learn the problem-first pattern behind successful AI use cases.

Beyond Buy Vs. Build: The Third Option In Legacy Application Modernization

Legacy application modernization has long been one of the most deferred decisions in enterprise IT, primarily because the financial impact never justified the investment.

How to Select the Best Multi-Agent Framework for Legacy App Modernization

Learn how IT leaders can choose the right multi-agent framework for legacy modernization—and avoid the failure patterns that derail agentic AI projects.