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Thought Leadership from TechFluent

Platform - D365
Cristal Carter

This Is What Azure OpenAI Taught Me

This Is What Azure OpenAI Taught Me If you’re new to the Microsoft ecosystem, discussing the many theoretical solutions that are needed in an enterprise level environment and attempting to architect them in your head can be very overwhelming initially. Personally, I deal with this on a day-to-day basis in

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Workforce Development
Carol Smock

The Future of Hiring in the Microsoft Ecosystem Isn’t Entry-Level. It’s Entry-Ready.

One of the most common challenges I hear from Microsoft Partner Firms today is “We can’t find enough experienced talent.” At the same time, I hear a different concern from capable professionals trying to enter the ecosystem, “No one will give me an opportunity because I don’t have enough product experience.” Somewhere between

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Funding
Krystal Gonzalez

Your Gift Isn’t a Donation. It’s a Door.

Your Gift Isn’t a Donation. It’s a Door. Wondering what your donation actually funds? Here is exactly what your gift pays for at TechFluent, mapped dollar for dollar to real learner outcomes. Your Gift Isn’t a Donation. It’s a Door. When you give to TechFluent, your money does not disappear into a general fund. It buys specific,

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Platform - D365
Phillip Hekmati

Building Practitioners Who Can Think in Systems, Not Just Pass Exams

Traditional certification preparation often emphasizes content volume and short-term recall. In enterprise environments, that can produce people who know features but struggle when requirements are ambiguous, cross-functional, or changing quickly. A more effective approach develops structured thinking that helps professionals reason across domains, make better decisions, and adapt as conditions evolve. The

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Workforce Development
Carol Smock

The Hidden Cost of AI: We’re Optimizing Work Faster Than We’re Developing Talent

AI is delivering much of what organizations hoped it would. Tasks that once required hours can now be completed in minutes. Documentation, research, testing, configuration assistance, and knowledge retrieval have become dramatically more efficient. From a productivity standpoint, that’s a remarkable achievement. But every major shift creates unintended consequences. One of the least discussed consequences of AI is its impact on how junior consulting talent

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Workforce Development
Phillip Hekmati

Why AI Didn’t Kill Consulting — It Changed What Organizations Need

AI has reduced the value of the old consulting model: faster research, cleaner analysis, and better slide production are no longer scarce. Those were once billable strengths. Now they’re table stakes. What’s more valuable now is the ability to help organizations make sense of complexity, design better decision-making systems, and keep

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