The Whizbang Weekly

  • AI FOMO Keeping You Up At Night?

    Don’t Panic: Focus on Fundamentals As artificial intelligence continues its meteoric rise, many executives are experiencing a palpable fear of missing out (FOMO) on this transformative technology. Headlines tout AI’s potential to revolutionize industries, and competitors seem to be racing ahead with ambitious AI initiatives. However, succumbing to FOMO-driven decision making can lead to costly…

    Campbell Robertson

  • 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…

    Campbell Robertson

  • 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…

    Campbell Robertson

  • From Hype to Reality: Strategic AI Adoption in 2025

    Seeing Through the AI Hype: A Roadmap for Success in 2025 As we step into 2025, the fervour surrounding AI agents and generative AI has reached unprecedented heights. With headlines touting a revolution, vendors promising miraculous solutions, and consultants warning of existential threats to those who don’t adopt quickly, it’s easy to get caught up…

    Campbell Robertson

  • 2025 a quick look ahead for AI

    2025 will be another banner year for AI. The landscape of AI and data management is poised for significant transformation. The rapid evolution of these technologies will reshape how businesses operate, innovate, and compete in the global marketplace. However, we are seeing business either not seeing the expected value over the hype or they are…

    Campbell Robertson

  • The Rise of Agentic AI: Navigating the Future of Autonomous Systems

    Agentic AI, what’s the deal? These systems are designed to operate with a degree of autonomy, enabling them to achieve specific goals independently. This shift towards Agentic AI is changing the way businesses and technologies operate. It provides many benefits and presents unique challenges. In this post, we will explore the concept of Agentic AI.…

    Campbell Robertson

  • Hold on to your AI Guardrails!

    AI Guardrails: Ensuring Ethical and Responsible Innovation Artificial intelligence continues to transform various industries. It also reshapes daily life. Therefore, the necessity for robust ethical safeguards has become apparent. AI guardrails have emerged as a critical component in the responsible development and deployment of AI technologies. Guardrails comprise a collection of mechanisms and frameworks designed…

    Campbell Robertson

  • AI Integration: Transforming Strategic Planning for COOs

    As Chief Operating Officers (COOs) navigate the complex landscape of modern business, integrating artificial intelligence (AI) into strategic planning is no longer a luxury, but a necessity. AI has the potential to revolutionize strategic planning by providing insights that are both data-driven and forward-looking. However, to harness this potential, COOs need to understand not only…

    Campbell Robertson

  • Why Small Language Models Are the Future of AI

    The great thing about AI is that nothing stays constant. Case in point models and model choice. Sustainability and cost are causing AI to undergo a significant transformation. with small language models (SLMs) are emerging as a critical component in the quest for efficient, cost-effective, and environmentally sustainable AI solutions. Unlike their large language model…

    Campbell Robertson

  • AI Agents – Why the Buzz?

    AI Agents vs. Large Language Models (LLMs) – Understanding the Differences and Implications The rapid evolution of artificial intelligence (AI) has led to the emergence of two distinct concepts: AI agents and Large Language Models (LLMs). While both are integral to modern AI applications, they serve different purposes and have distinct characteristics. This article aims…

    Campbell Robertson