Category Archives: Uncategorized

I. Global Strategy, Geopolitics & Governance Emergence of a Global AI Race The AI Action Summit highlighted the intensifying international competition in AI, with major players like the US, EU, and China strategically positioning themselves to lead in development and deployment. Teams should be aware of how this geopolitical contest influences funding flows, partnerships, andContinue reading “Navigating the Global AI Race: Insights from the Paris Summit”

Following the release of DeepSeek-V3 and DeepSeek-r1, a torrent of articles has flooded the media, igniting debates over the intensifying U.S.-China AI competition and heralding the rise of open, cost-effective foundation models that challenge established leaders like OpenAI, Google, and Anthropic. While Alibaba Qwen had already proven that China could deliver competitive open models, DeepSeek’sContinue reading “Leveraging DeepSeek’s Advances: Practical Lessons for AI Application Teams”

1. GUI-Based Interaction AI agents (that rely on foundation models) increasingly interact with software through graphical user interfaces (GUIs), much like a human using mouse and keyboard inputs. This is in contrast to older approaches limited to bespoke or specialized APIs. Frameworks like OpenAI Operator, CogAgent, and Skyvern exemplify this trend. Why It’s Important BroadContinue reading “AI Agents: 10 Key Areas You Need to Understand”

Recent releases from Google (Gemini 2.0 Flash), OpenAI (o1 & o3), and particularly DeepSeek (V3 & R1) have underscored the rapid pace of innovation in the foundation model space. This prompted me to compile a list of developments I’m closely monitoring, especially in the realm of reasoning-enhanced models—a topic I’ve explored in depth recently, includingContinue reading “Foundation Models: What’s Next for 2025 and Beyond”

In a previous article, I highlighted the need for AI applications to bridge the gap between their advanced capabilities and the real-time data that businesses depend on. However, for AI to truly transform business workflows, it must also tap into one of the most enduring and ubiquitous repositories of organizational knowledge: spreadsheets. Despite the rapidContinue reading “AI’s Spreadsheet Blind Spot: Bridging the Logic Gap”

The ability of a machine to reason—not merely regurgitate information but to engage in structured, logical, multi-step problem-solving—is swiftly emerging as a key trait of the most advanced large language models (LLM). We are transitioning from models that simply mimic patterns to those that can genuinely think, deconstructing complex challenges into a series of interpretableContinue reading “Beyond Imitation: How Reinforcement Learning is Reshaping AI Reasoning”

The start of a second Trump administration is prompting speculation about the future of technology policy in the United States. This analysis explores potential shifts across various sectors, from artificial intelligence and cryptocurrency to government efficiency and national security. The predictions outlined here are based on a combination of past statements made by individuals associatedContinue reading “AI and Tech under Trump 2.0”

Inside the High-Stakes World of Generative AI Red Teaming We’re at a pivotal moment for GenAI: these systems are evolving at an astonishing pace, integrating seamlessly into our daily routines, yet bringing with them a host of new security and safety challenges. That’s why I find Microsoft’s recent study—where its AI Red Team conducted extensiveContinue reading “Red Teaming AI: Why Rigorous Testing is Non-Negotiable”