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Baran Cezayirli

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Engineering the future: AI, systems, and business insights

Why Generative AI is Not the Silver Bullet for Tabular Data

Why Generative AI is Not the Silver Bullet for Tabular Data

June 26, 2025
7 min read
AImachine-learningdata-science
Generative AI and LLMs struggle with tabular data. Discover why traditional models excel and learn the best solutions for finance, healthcare, and forecasting.
Riding the AI Rollercoaster: Learning from AI's Seasons of Hype and Hibernation

Riding the AI Rollercoaster: Learning from AI's Seasons of Hype and Hibernation

June 10, 2025
6 min read
AImachine-learningtechnology-leadership
AI's journey is full of booms and busts. Learn from past winters, assess today’s breakthroughs, and build a future-ready mindset for responsible AI use.
A Business Leader's Guide to Strategic AI Evaluation

A Business Leader's Guide to Strategic AI Evaluation

May 29, 2025
10 min read
AItechnology-leadership
Don't just chase AI trends. Learn to strategically evaluate AI's true potential for your business, identify real pain points & decide if it’s the optimal path.
The AI Paradox: How Innovation Can Lead to Failure

The AI Paradox: How Innovation Can Lead to Failure

May 28, 2025
7 min read
AItechnology-leadership
Uncover the Innovator's Dilemma in AI. Learn why focusing on sustaining innovation can lead to failure and how to embrace disruptive AI for future success.
Beyond the Algorithm: Why Explainable AI is Crucial for Trust

Beyond the Algorithm: Why Explainable AI is Crucial for Trust

May 27, 2025
6 min read
AImachine-learning
Trust in AI starts with understanding. Discover why Explainable AI (XAI) is vital for building trust and driving responsible innovation beyond the black box.
Startup's Guide: Brownfield for Human & AI-Gen Code

Startup's Guide: Brownfield for Human & AI-Gen Code

May 19, 2025
10 min read
system-designsoftware-architecturetechnology-leadership
Is rapid AI coding creating new legacy issues? Learn Brownfield development for startups to evolve all code—human or AI-written—effectively.
Understanding the Three Vs of Big Data

Understanding the Three Vs of Big Data

May 16, 2025
9 min read
data-sciencebig-data
A fundamental concept to understand the challenges and opportunities of big data is the 3 Vs of big data: Volume, Velocity, and Variety.
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About Me

With 20+ years in tech, product innovation, and system design, I scale startups and build robust software, always pushing the boundaries of possibility.

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From Blog

  • LLM's are Not Intelligent and That is OK
  • System Design Principles For Long Term Success

© 2025
Baran Cezayirli | Technologist