AI integration – Buonaiuto@Work

Why 90% of Generative AI Projects Fail — and How to Avoid Becoming a Statistic

Massimo2025-08-230206 views

MIT’s 2025 report finds 95% of enterprise GenAI pilots fail, blocked by a “learning gap.” Tools that don’t adapt, remember, or integrate into workflows stall, while adaptive, embedded systems cross the GenAI Divide. The winners are startups, not big Companies then, focusing on narrow but high-value use cases, embedding in workflows, and scaling through learning. Again, generic SaaS tools and in-house builds fail. Leaders must focus on strategic partnerships with startups, adaptive systems, back-office ROI, and agentic readiness to ensure AI delivers measurable impact—not hype.

Radio interview at the Swiss national Radio LoRa on Artificial Intelligence and Generative AI

Massimo2025-03-070860 views

For the first time in history, we are encountering AI agents that can outperform humans in many tasks, heralding an unprecedented era of technological advancement. This shift presents both significant opportunities and formidable challenges. How will we adapt to a world where AI is an integral part of our daily lives? What strategies can we employ to ensure that the integration of AI leads to positive outcomes for society as a whole?

Radio LoRa, with its rich history and diverse programming in 20 different languages, provides an exceptional platform for this important dialogue. This community radio station has been a beacon of independent journalism and cultural diversity, making it the perfect venue for discussing how we can navigate one of the most significant revolutions in human history.

Revolutionizing Realities: how AI’s leap with ChatGPT’s Turing triumph and how new AIs for visual world creation redefine Human Experience

Massimo2024-02-260391 views

In the latest advancements, artificial intelligence has reached new heights with ChatGPT-4 passing the Turing Test, illustrating AI’s ability to mimic human-like behaviors and decision-making. Concurrently, OpenAI’s Sora has emerged, transforming textual prompts into photorealistic videos, pushing the boundaries of AI’s creative potential. These developments underscore the critical need for ethical frameworks in AI, addressing concerns such as misuse, intellectual property, and the impact on creativity. The rapid evolution of AI technologies like ChatGPT-4 and Sora highlights both the transformative possibilities and the ethical challenges that accompany the blurring of lines between human and machine intelligence.