• Unlocking Customer Success with Generative AI Strategies

    In 2025, customer success executives can leverage generative AI to transform their strategies, improve interactions, and enhance productivity effectively. By closing insights gaps, revolutionizing playbooks, scaling personalization, and ensuring ethical governance, organizations can anticipate customer needs, reduce churn, and enhance revenue, ultimately integrating AI as an enabler rather than a replacement.


  • The Battle Over Ghibli’s Artistic Style in AI Generation

    The recent viral phenomenon of ChatGPT generating images in Studio Ghibli’s distinctive style has raised serious questions about whether OpenAI trained its image generation models on copyrighted Ghibli content without permission. While there is no definitive confirmation, evidence points to a complex situation with significant copyright implications. The Conflicting Policies Within OpenAI One of the…


  • Understanding Agentic RAG for Business Efficiency

    AI adoption is accelerating across enterprises, with many organizations already implementing Retrieval Augmented Generation (RAG) systems to power knowledge-driven applications. But while traditional RAG has proven valuable, its static approach is increasingly insufficient for complex business needs. Enter Agentic RAG – an approach that transforms passive information retrieval into intelligent orchestration. As organizations push toward…


  • The Future of AI: Quantum Computing’s Impact

    Quantum Computing and AI: A Strategic Imperative for Executives Quantum computing and artificial intelligence (AI) are no longer just buzzwords—they are transformative technologies reshaping industries. Their convergence offers unprecedented opportunities to solve complex problems, from optimizing supply chains to accelerating drug discovery. For technical executives, it is critical to understand the synergy between quantum computing…


  • Lessons from Old Hollywood: How Regulation Fuels AI Creativity

    ….and stop winging. I am getting sick and tired of AI Vendors moaning and complaining. They cry in their lattes about regulations and compliance inhibiting innovation and competitiveness. We just have to look at how entire industries in the past managed to create and innovate under very strict regulations and laws. In the Zoom calls…


  • Cognitive Impact Protocol: Get One Now!

    The Double-Edged Algorithm: Preserving Human Cognition in the Age of Generative AI Have you heard of the term Cognitive Impact Protocol? Well you should; as this has a major negative impact on how productive your knowledge workers will be. As we navigate the transformative landscape of generative AI, a paradox emerges: while AI enhances productivity,…


  • The AI Privacy Paradox: Navigating Innovation and Ethics in the Age of Regulatory Uncertainty

    Technical leaders stand at a critical juncture where the exponential value of AI systems collides with escalating privacy concerns. The AI privacy paradox – the tension between data-hungry machine learning models and the ethical imperative to protect individual rights – has become the defining challenge of enterprise AI adoption. As governments weigh deregulation to spur…


  • Reducing Bias in Generative AI: The Power of Random Sampling and Metadata Enrichment

    I thought I would get a bit more specific on this post around the major issue that still hounds Generative AI: Bias. Whether we are talking large language models or Agentic AI there is still the issue of knowingly or unknowlingly creating bias. As I will keep saying: an AI project at the end of…


  • Evaluating AI Vendors: A Strategic Guide Part 2

    When evaluating AI vendors, we must look beyond flashy demos and buzzwords (AI FOMO more on this later). Technical expertise is paramount, but equally crucial is the vendor’s ability to align with your specific business needs and industry challenges. You should seek partners who not only possess cutting-edge AI capabilities but also demonstrate a deep…


  • Evaluating AI Vendors: A Strategic Guide Part 1

    This will be a two part post. Part 1 or 2. As artificial intelligence continues to revolutionize industries, technical executives face the daunting task of selecting the right AI vendors amidst a sea of hype and noise. The key to success lies in focusing on vendors that truly enable AI operationalization at scale, bridging the…