From 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
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The Recipe for Achieving Aspirational AI
There has been a lot latest buzz about AI’s potential decline. Articles corresponding to “AI Stock Market Bubble May Be
Read moreWhen semantically connected data matters most
Image by Pete Linforth from Pixabay Technological advances helpful in fixing some issues can typically set off unintended effects and
Read moreSmall Language Models: A Strategic Opportunity for the Masses
In the evolving panorama of enormous language fashions (LLMs), it’s more and more evident that their immense dimension and broad
Read moreDefining transformation in the era of AI + FAIR data
Image by Gerd Altmann from Pixabay Every week, I watch rising tech markets evolve and attempt to ponder what the
Read moreA generative AI reality check for enterprises
Takeaways from my July 2024 interview with cloud architect and writer David Linthicum David Linthicum Wall Street now agrees that
Read moreGlobal AI Trends In Business and Humanity – Show 12
Interview with Egle B. Thomas, PhD, MBA After a pleasant 4 week break, the AI Think Tank (*12*) is again for its
Read moreAvoid GenAI Model Collapse and Death by Averages
The Harvard Business Review article “Has Generative AI Peaked?” raised a troubling concern regarding Generative AI (GenAI): “This brings us
Read moreSynergy of Generative, Analytical, Causal, and Autonomous AI
The present fascination with Generative AI (GenAI) – particularly as manifested by OpenAI’s ChatGPT – has raised public consciousness of
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
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