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Overview – AI Project Failures Artificial Intelligence is set to revolutionize industries, including the healthcare sector and logistics, although most of these projects do not get to the production stage. We have experienced achievements and disappointment, and out of failure, we have learned certain lessons. This blog discusses common pitfalls, presents real-life experience, and provides practical steps…
What Are AI Hallucinations? Last quarter, something happened that made us rethink our entire approach to AI deployment. During a routine audit, we found out our customer support AI had confidently recommended a non-existent product feature to an enterprise client. The feature existed only in our internal roadmap discussions, never in production. Our human review…
Introduction In today’s fast-moving business world, artificial intelligence (AI) is no longer a distant concept, but it’s a strategic necessity. However, what truly sets a successful AI journey apart isn’t just cutting-edge algorithms or tools; it’s the people, processes, and partnerships behind the innovation. At our core, we see AI as a disciplined practice that…
Overview Artificial Intelligence (AI) has transitioned from a research concept to a core component of everyday technology, powering everything from conversational chatbots and intelligent logistics to generative art models. But as AI’s capabilities grow, so do its inherent risks. The most forward-thinking companies understand that building world-class AI is not just about bigger models or…
Q1: What Are the Most Common Mistakes Companies Make When Starting an AI Project? While the promise of artificial intelligence is immense, its successful implementation depends on avoiding several common mistakes that can cause a project to fail from the start. Vague or Misaligned Objectives: Often, projects fail when business objectives and AI deliverables are…
Understanding the AI Hype In recent years, artificial intelligence has become the term of development, shock, and change. Every day, we read headlines about how they have discovered a breakthrough, and how we are about to see machines taking the place of doctors, artists, and decision-makers. However, not all that is glittering is GPU-powered gold.…
In the fast-paced world of artificial intelligence, building and maintaining an AI stack is no easy task. Decisions being made today affect the ability to innovate, scale, and provide trustworthy AI-based products directly. We are like any competent workman and rely on reliable tools. This paper focuses on the AI stack used in production that…
Like many challenges, it began with an user who continued receiving the wrong videos on her feed. It appeared to be a mere glitch in our recommendation system, but as we got deeper into it, the more we found that there was some concealed bias in our code, and it was just causing unfairness in…
Artificial Intelligence (AI) is transforming industries, from healthcare diagnostics to financial forecasting and analysis. This article explores the journey of developing a generic AI solution to solve real-world problems, aligning with the latest AI trends, standards, and best practices. We’ll cover technical challenges, architectural decisions, and actionable insights. The Process Flow Vision to Prototype: Laying…
With Shopify chief Tobi Lutke’s recent declaration that the company’s employees must use AI in their day-to-day work, it now truly feels like AI is embedded in the culture of most large organizations. But as these organizations scale AI, it’s vital to also examine its usage not just from an implementation standpoint—but also from a financial cost and…
