Topics
This is for all topics on the website under the archives section!
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AIJ Thought Leader10 April 2026AI’s Role in Surgery: Enhancing a Surgeon’s Capabilities
Every surgery generates a flood of information. From measurements to movements, thousands of decisions are captured at every step of the…
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AIJ Guest Post10 April 2026Why I’m Staying Vendor Agnostic During the AI Gold Rush
We’re in the gold rush of AI development right now, with OpenAI, Anthropic, and Google driving constant changes in cost and…
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AIJ Thought Leader10 April 2026America Spends $5.6 Trillion on Healthcare and Wastes $1.6 Trillion of It. AI Is Changing That.
The United States spent an estimated $5.6 trillion on healthcare in 2025, more than any other country on earth. That figure…
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AIJ Thought Leader10 April 2026The Practical Impact of AI and Data-Driven Procurement on Construction Operations
Introduction: Practical Change, Not Theoretical Innovation For most of my career in construction, procurement has been built around phone calls,…
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AIJ Thought Leader10 April 2026AI’s Biggest Bottleneck Isn’t the Model – It’s the Hardware
Debate around AI tends to focus on models: how capable they are and how quickly they improve. Less attention is…
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AIJ Guest Post10 April 2026Future of AI: How AI App Development is Transforming Business Operations
Artificial intelligence has quietly shifted from experiments to real-world applications. A few years ago, businesses considered AI a potential investment.…
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AIJ Guest Post10 April 2026
Best Healthcare AI Engineering Companies in 2026
In 2024, AI-focused digital health companies captured 42% of the sector’s annual funding. It’s a clear signal of where the…
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AIJ Guest Post10 April 2026Otonomii and the Structural Problem With AI in Finance
Artificial intelligence has attracted significant investment across financial services, yet many projects continue to fall short of expectations. While firms…
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AIJ Guest Post10 April 2026
The Best Data Catalog Tools in 2026 and Why Your AI Strategy Depends on Choosing the Right One
Most AI projects don’t fail because of bad models. They fail because the data feeding those models is poorly understood,…
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Rilton Franzone10 April 2026
A citation verification framework for LLMs in sensitive domains
Quote fabrication is a known failure mode of large language models, and it persists even in today’s frontier models. It…
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