AI agents are on the rise, and it’s quickly shifting from a buzz word to reality. Development of agentic systems is fast moving from research labs and demos to production systems that can plan, act and learn from user workflows. The large language models (LLMs) that...
I spent months overengineering an AI chatbot. Then I threw most of it away and got better results in two weeks. This is an anecdote of what actually worked when I built production RAG systems at scale, and why the lessons surprised me. The Complexity Trap I was tasked...
Most data and AI projects don’t fail because teams chose the wrong infrastructure or modeling approach. They fail because the project breaks down somewhere across the lifecycle, long before folks realize. By the time something reaches production (if it does), teams...
Artificial intelligence has evolved beyond its origins as a specialized technical domain and is now experiencing widespread adoption across all business sectors—and Product Managers who speak its language are becoming translators driving this transformation. They play...
Over the last two years, the artificial intelligence discussion has been preoccupied with scale. Larger models, more parameters and continually increasing infrastructure investment have been staged as the seemingly unavoidable future of enterprise AI. But within...
For many years, marketers have questioned whether direct mail still deserves a place in a world shaped by digital communication. Email, social platforms, apps, and real-time analytics have changed how customers interact with brands, and these channels often overshadow...
Memory is what makes or breaks enterprise chat. Using your AI assistant will feel like a toy, not a production system, if it forgets who the user is, loses context between tickets, or asks the same clarifying questions every time. Naive methods that transmit the whole...
Disclaimer: Even though this blog post sounds harsh, I believe the people involved in the mainframe migration of TSB in 2018 acted always in good faith and with the best of the business and customers in mind. They acted according to the best knowledge available at the...
While digital fluency may involve some aspects of data fluency, digital fluency is a broader concept that encompasses a range of skills such as using software applications, navigating platforms, and optimizing workflows via digital means. Data fluency, considered to...
Picture this: On average, organizations lose about $12.9 million due to poor data quality. While the short-term impact is on the revenue, the long-term effect of insufficient data is poor decision-making and data ecosystems’ complexities. The solution? A robust...