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If you are wondering about the dizzying heights to which Artificial Intelligence will take us, I present to you this recap of meeting small talk.

I recently published a new blog post on my website called "Prompting Is Not Enough: The Case for Unstructured AI Insights" based on my experience using AI tools for analysis. Here is the opening: If you are only using AI to generate prompt-based analyses you are missing out on valuable insights. I say this for two reasons. Two Issues with Prompt-Only Analysis First, what if you don’t ask the right questions? Good AI analysis tools are trained not to hallucinate. This means that, by design, the objective of a tool is to respond to prompts directly to ensure accuracy. This is a critical first step, but it tends to lead to analyses that are literal, meaning they are accurate, but in a “just the facts” way. This doesn’t capture the full scope of effective analysis because it is missing something crucial- the unexpected insights that come from unstructured analysis (more on what I mean by this below). The second reason why prompt-only analysis is not sufficient is that a key promise of AI is to make efficient the ability to handle large data sets that may have previously been cost or time-prohibitive to analyze. It’s hard to argue that, historically, important insights have been left on the table because it was difficult or impractical to make the connections between disparate data points to uncover them. AI can solve for this from the “data crunching” perspective, but at that point we are back to the first issue- what if the user doesn’t ask the right questions to surface these insights? Something is missing and I suggest that it is unstructured analysis. Read the rest here: https://lnkd.in/eAdQcnKT #ai #marketresearch #innovation #insights #analytics #innovation

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AI adoption in your org isn't just about having the right technology—it’s about rethinking how we work. Sometimes, what stops us from moving forward isn’t the lack of tools, but our attachment to familiar ways of doing things. In many organizations, I've seen firsthand how reliance on tried-and-true processes, following "best practices," and sticking to comfortable routines can become barriers to progress. What if these habits are holding us back from realizing the true potential of AI? What if the real challenge isn't the technology itself, but our willingness to change the way we think and operate? The organizations that successfully embrace AI aren't necessarily the ones with the biggest budgets—they’re the ones that are willing to challenge their old ways, take risks, and ask: What could we do differently if we embraced AI to its fullest? Here are my top 5 ways to get started with AI adoption: 1. Just Start - Get in the Game: The biggest hurdle is often just taking the first step. Start experimenting, get familiar with AI tools, and begin integrating them into your workflows. Even small-scale trials can provide valuable insights and help overcome initial resistance. 2. English is the New Coding Language: AI tools today are more accessible than ever. You don't need to be a coder—natural language input can drive powerful AI tools. For example, platforms like v0.dev let you use plain English to achieve sophisticated outcomes. 3. Diversify Your Tools: AI is not one-size-fits-all. I often use multiple tools, like #ChatGPT, #Claude, and #Julius, for simple analytics or content generation. Each tool has its strengths, and using a combination helps you get the best results for different tasks. 4. Embrace Experimentation: AI is evolving fast, and what works today might change tomorrow. Adopt a mindset of continuous experimentation. Set up small pilot projects, test new ideas, and be prepared to learn and adapt along the way. Watch this video (warning: explicit language - https://lnkd.in/gxzG_jkZ) 5. Educate and Empower Your Team: AI adoption is a team effort. Make sure your team understands the potential of AI and feels empowered to use it. Provide training, share resources, and foster an environment where everyone feels comfortable exploring and leveraging AI tools. What’s one step you’re ready to take to leverage AI more effectively?

🚀 Why France is Becoming an AI Powerhouse 🚀 The AI landscape in France is thriving, and the country's ambitions to lead in AI are gaining momentum. Sarah Stebbins, from ICONIQ Capital has put together an amazing read on France's growing strength in AI in her article here: https://lnkd.in/gnyZyjG2 ICONIQ Capital outlines several reasons why they believe France will be Europe's AI powerhouse: 🤑 Public & Private Support: With €1.5 billion invested in AI, France's National AI Strategy is driving innovation, emphasizing ethical AI, data privacy, and inclusive development. 🤖 Thriving Ecosystem: A robust network of startups, research institutions, and corporate partnerships is fueling AI advancements, particularly in Paris, which is a hotspot for AI innovation e.g., Mistral AI, Hugging Face, Modjo, Twin 👩🔬 Top Talent: France’s world-class educational institutions are producing over 500,000 AI researchers and engineers, driving cutting-edge advancements in machine learning, NLP, and more At SCALE, we summarize stories like these directly in your inbox every week! If you want to stay informed, subscribe here: https://lnkd.in/gbvQsAC7 #AI #Innovation #France #TechNews #Newsletter #ArtificialIntelligence #Growth, #Startups, #ICONIQ

Kathy Pham and I recently delved into a fascinating discussion with Larry English on how to build #responsibleAI systems and close the trust gap. Michael G Bennett also shares vitally important insights on this topic! Don't miss out on the key takeaways from this enlightening conversation! https://lnkd.in/gtgPJxCT

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