Author Archives: Eugene Ivanov

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About Eugene Ivanov

Eugene Ivanov is a business and technical writer interested in innovation and technology. He focuses on factors defining human creativity and socioeconomic conditions affecting corporate innovation.

The AI Paradox: Why SMEs Might Be Losing Ground Just When They Thought They’d Caught Up

Posted on December 3, 2025 by Eugene Ivanov

Three months ago, I declared AI the great equalizer for small and medium enterprises. Today, I’m not so sure. In fact, I’m worried we might be celebrating prematurely — and that the very technology promising to level the playing field … Continue reading →

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Putting the Cart Before the Horse: What We’re Getting Wrong About AI

Posted on November 10, 2025 by Eugene Ivanov

The debate about artificial intelligence has become exhaustingly predictable. On one side, we have doomsayers who celebrate every misstep—a misdrawn map of Europe, a miscounted number of r’s in “blueberry”—as proof that AI is fundamentally flawed. The word “hallucination” has … Continue reading →

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Unlocking SME Innovation: Why AI-Based Problem-Solving is the Great Equalizer

Posted on September 7, 2025 by Eugene Ivanov

In mid-October 2009, I was visiting with a client, a large, Midwest-based paint and coating manufacturing company. As part of their product development process, the company’s engineers built a powerful outdoor pump to paint industrial buildings. The pump worked beautifully … Continue reading →

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The Brainstorming Renaissance: How GenAI Tools Are Rewriting the Rules of Creativity

Posted on May 24, 2025 by Eugene Ivanov

What if the best idea in your next big innovation meeting didn’t come from your star designer, but from a chatbot? This isn’t a futuristic thought experiment; it’s happening now. Generative AI tools like ChatGPT, Midjourney, and Stable Diffusion are … Continue reading →

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The End of the Crowd? (Why AI Won’t Fully Replace Human Crowdsourcing — Yet)

Posted on May 12, 2025 by Eugene Ivanov

AI has already claimed its seat at the innovation table — and it didn’t even knock. It barged in, armed with large language models (LLMs) like GPT-4, reshaping how companies ideate, prototype, and solve problems.  With astonishing speed and minimal … Continue reading →

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Knowing Where You’re Going and Who’s Driving: How AI Is (and Isn’t) Reshaping Human Work

Posted on March 25, 2025 by Eugene Ivanov

Integrating AI into business practice has gone from a fringe conversation to a boardroom imperative. From productivity gains to fears of de-skilling, the debate is divisive—some see AI as a game-changer for human potential; others worry it’s a slippery slope … Continue reading →

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In Silico Creativity. Part 3. AI and Creative Art

Posted on March 4, 2025 by Eugene Ivanov

In Part 1 and Part 2 of this three-part series, I reviewed what is known about AI’s ability to generate poetry and music. This article is about what AI can do for creative art.  As AI systems like DALL-E, Midjourney, … Continue reading →

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In Silico Creativity. Part 2. AI and Music

Posted on March 1, 2025 by Eugene Ivanov

As Artificial Intelligence (AI) keeps conquering creative fields, from visual arts to music, the debates on whether AI can be truly “creative” show no signs of abating. But a much more practical question is, do listeners perceive AI-composed music differently … Continue reading →

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In Silico Creativity. Part 1. LLMs and Poetry (and Short Stories)

Posted on February 25, 2025 by Eugene Ivanov

In my previous article, “In Silico Ideation,” I reviewed academic literature describing the application of LLM algorithms to generating new product ideas. Now, I want to review what is known about LLMs’ ability to generate other creative content. This article … Continue reading →

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In silico Ideation: How Large Language Models (LLMs) Help Generate New Ideas

Posted on February 11, 2025 by Eugene Ivanov

As with every emerging general-purpose technology, Generative AI (GenAI) is searching for problems to solve. Finding the most fitting will take time. I consider it pointless to look for the things that GenAI can’t do; instead, I prefer focusing on … Continue reading →

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