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In the rush to adopt AI and automation, many teams implement human-in-the-loop (HITL) frameworks. They believe that involving a person in the process solves the problems with reliability, quality, and trust. But as we’ve learned from real engineering workflows and integrations, the story isn’t that easy. In some contexts, humans-in-the-loop do improve outcomes, but in…
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.…
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…
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…
The promise of Artificial Intelligence (AI) in life sciences is undeniable—offering advancements in drug discovery, clinical research, and evidence generation. Yet, many organizations still struggle to implement AI effectively. To better understand these challenges, CapeStart conducted a survey of 104 life science professionals, asking them: What are the top three barriers to success for your…
Across industries, businesses are turning to AI to address pressing challenges, drive innovation, and improve efficiency. According to CapeStart’s Life Science AI Research Report, organizations are increasingly identifying specific areas where AI can deliver the greatest value. By focusing on key business functions, companies aim to unlock new opportunities, streamline operations, and enhance their impact in highly…
Picture this: You’re using an AI model when it recommends a course of action that doesn’t seem to make sense. However, because the model can’t explain itself, you’ve got no insight into the reasoning behind the recommendation. Your only options are to trust it or not – but without any context. It’s a frustrating yet…
