Forbes Articles
As a member of the Forbes Business Council, I write regularly in Forbes, specifically in the area of AI and Generative AI applications in business.
How Narrow LLMs Are Powering Agentic AI Systems (Mar 06, 2026)
Explores how narrow, orchestrated task-optimized LLMs could define the economics and security of autonomous AI / agentic AI systems going forward.
The Hallucination Tax: Generative AI’s Accuracy Problem (Dec 18, 2025)
Explores how GenAI hallucinations - create real financial and operational risk for enterprises, arguing that accuracy management must be central to AI strategy.
How SMBs Can Take Advantage Of The Emerging Agentic AI Era (April 1, 2025)
AI Risk Management: A Prerequisite For Sustainable Growth Of AI Programs (Oct 26, 2022)
Highlights early indicators of GenAI’s influence on analytics - enhancing modeling, accelerating insight cycles, and reshaping analyst roles - while noting emerging challenges
Finding The Data: How To Avoid AI And Analytics Project Failures (Oct 15, 2021)
Argues that robust data strategy and governance are cornerstones of AI and analytics success, with failure often tied to weak foundational data practices.
Edge AI Applications as the Catalyst for AI PC Market Growth (Jun 26, 2025)
Discusses how edge AI can unlock new use cases and drive expansion of AI-optimized personal computers, reshaping computing performance and energy efficiency
Outlines how SMBs can leverage emerging “agentic AI” systems to automate decision loops and innovate, turning longstanding business challenges into strategic opportunities.
Unleashing The Power Of GenAI In Customer Data Platforms (July 22, 2024)
Examines how GenAI can enhance CDPs, enabling better personalization & segmentation, and actionable customer insights when integrated thoughtfully with business workflows.
Using Generative AI To Drive Industry 4.0 Transformation (April 17, 2024)
How GenAI accelerates Ind 4.0 initiatives; redefining design, production, and delivery - by enhancing cognitive automation and cross-functional collaboration i
Discusses the effects of LLMs and GenAI on data engineering workflows, emphasizing paradigm shifts in data preparation, metadata management, automation, and ML-ready data pipelines
How Will Large Language Models And Generative AI Impact Data Engineering? (Sep 13, 2023)
