-

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…
-

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…
-

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…
-

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…
-

When it comes to AI organizations need to stick to their knitting: Data Fabric Knitting.
Unlocking the Power of Data Fabric: Strategic Steps, Benefits, and Risks In the rapidly evolving data landscape, organizations are increasingly turning to data fabric as a holistic solution to integrate diverse data sources, enhance data governance, and drive business efficiency. This op-ed outlines the strategic steps to implement a data fabric, highlights its benefits, and…
-

The Rise of Better AI Models on the Horizon
The landscape of artificial intelligence is undergoing a significant transformation with the emergence of a new class of generative AI models that leverage mathematical reasoning to correct themselves and prevent hallucinations. This shift marks a critical departure from the current generation of models, which, despite their impressive capabilities, are plagued by the problem of hallucinations—instances…
-

Gen AI?: You Gotta Keep Your 88’s Straight
Navigating the Complexities of Data Migration: Strategies, Tactics, and Considerations is like learning to play piano. Using the musical analogy of keeping a balance between innovation and management. So with all the creative aspects around GenAI we need to balance it with proper data management strategies. Data migration has become an indispensable process for organizations…
-

Update: Model Choice and Deprecation Planning
Selecting the right Large Language Model (LLM) for your organization is a critical decision that can significantly impact your AI strategy and outcomes. As the field of AI rapidly evolves, it’s essential not only to choose wisely but also to plan for model deprecation. Here’s a comprehensive approach to tackle both challenges. Choosing the Right…
-

How to position Trust & Compliance into my company
Embracing Trust & Compliance Technology: A Necessity for Ethical AI I apologize for the lack of posts over the summer, I have had a busy summer. I have been looking again at some of the base needs your company will require in order to be success and more importantly RISK FREE in using Generative AI…
-

The Rise of Multimodal AI: Navigating Challenges and Opportunities
Multimodal AI models are rapidly emerging as the next frontier in artificial intelligence, promising to revolutionize how machines perceive and interact with the world. Unlike traditional AI systems that focus on a single data type, multimodal AI integrates diverse inputs such as text, images, audio, and video to create more comprehensive and nuanced understanding. This…