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AI Tool Consolidation: When Less Technology Delivers More Results

AI Tool Consolidation: When Less Technology Delivers More Results

by Mark DiGirolamo | Jul 30, 2026 | Uncategorized

Why Too Many AI Tools Undermine Business Strategy Introduction: The Platform vs. Point Solution Paradox Thanks to extensive marketing, we’re all familiar with the promises of AI. Every technology vendor promises to “simplify your workflow.” The average enterprise now...
Lessons From High-Growth Enterprises: The Importance of Scalable Access Management

Lessons From High-Growth Enterprises: The Importance of Scalable Access Management

by Mark DiGirolamo | Jul 10, 2026 | AI

Shibumi’s Custom User Groups Feature Keeps Teams Focused On Execution, Not Administration To maximize profit margins and market competitiveness, enterprises must scale. Yet, as they do, their rosters of participants grow while their projects become increasingly...
AI Implementation Fatigue: Why Your Digital Transformation Is Failing

AI Implementation Fatigue: Why Your Digital Transformation Is Failing

by Mark DiGirolamo | Jul 6, 2026 | AI

Introduction: The $2 Trillion Problem Enterprise digital transformation spending will exceed $3.4 trillion in 2026, yet 70% or more of these initiatives will fail to achieve their objectives. That could mean more than $2 trillion in wasted investment, which naturally...
Why 95% of AI Pilots Fail, And What Leaders Can Do to Make Sure Their Transformations Are in the Successful 5%

Why 95% of AI Pilots Fail, And What Leaders Can Do to Make Sure Their Transformations Are in the Successful 5%

by Mark DiGirolamo | Jul 6, 2026 | AI

Why Every AI Project Should Begin and End with ROI In the modern business landscape, artificial intelligence (AI) is everywhere. From marketing and sales to customer support and software engineering, enterprises in every industry are developing and launching AI...
How to Reduce AI Fatigue: A Strategic Framework for Enterprise Leaders

How to Reduce AI Fatigue: A Strategic Framework for Enterprise Leaders

by Mark DiGirolamo | May 20, 2026 | AI

Even though 91% of enterprises plan to increase their investment in AI this year, its use has been shown to increase levels of burnout among staff, leading to 42% of companies abandoning most AI transformations. This is a huge issue—and one that must be addressed for...
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