Envisioning the AI Value-creation Maturity Curve – Lessons from the Internet
2025 shall be the 12 months when Artificial Intelligence (AI) should show itself past driving mundane, simply replicated productiveness enhancements.
Read moreData Economics
Mastering the Big 12 Data-driven Economic Concepts
“If you wish to change the recreation, change the body.” The recreation has actually modified with the knowledge period, and
Read moreValue Creation Requires An Outside-In Mentality
A couple of weeks in the past, I created a YouTube video to debate the significance of an outside-in perspective
Read more(Trying to) Quantify the Economic Impact of GenAI
How can we quantify GenAI’s efficiency affect on staff with below-average to common efficiency in comparison with high-performance staff? I’ve
Read moreThe Economics of “Do More With Less”: Blending AI with Organizational Discipline
I hear it in almost each buyer dialog: “We should discover a strategy to do extra with much less.” This
Read moreFrom Mystery to Clarity: Making GenAI Transparent and Trustworthy
Let’s be sincere: The capabilities of Generative AI (GenAI) instruments like OpenAI’s ChatGPT, Microsoft Copilot, and Google Gemini are really
Read moreNine Categories of Innovation-Driven Prompt Engineering
In my earlier weblog, “GenAI Maturity: From Productivity To Effectiveness,” I mentioned the dramatic disparities between the organizational mindset of
Read moreCritical Importance of Stakeholder-centric Design with AI
“It’s not the AI applied sciences that fail; it’s the group.” That is likely to be a considerably controversial viewpoint,
Read moreGenAI, RAG, LLM… Oh My!
I’m happy to announce the discharge of my up to date “Thinking Like a Data Scientist” workbook. As a subsequent
Read moreHow to Transform Your ML Models with Generative AI
A “mix-in” is a part or function added to an current system or product to improve its performance, efficiency, or
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