The Future of AI in Life Sciences

In our previous posts, we discussed the evolution of quality management systems (QMS) and AI tools and technologies that are accelerating quality in the life sciences industry. In this third and final installment, we take a look forward with Harsh Thakkar, Qualitvate CEO, to explore future trends in AI within the life sciences and challenges...

Guide to AI-Powered Quality Management for the Life Sciences Industry

In our previous post, we explored the evolving landscape of quality management systems (QMS) in the life sciences industry and how AI is transforming these systems. This post will dive deeper into specific AI tools and technologies that enhance quality in the life sciences industry. Read on as we look into AI-powered quality solutions with...

From Manual to AI-Driven: How Quality Management in the Life Sciences Has Evolved

Electronic quality management systems (eQMS) are essential in ensuring product safety, efficacy, and compliance across the life sciences industry. However, as the industry evolves, so must these systems. This blog post, along with insights from Harsh Thakkar, CEO of Qualtivate, will explore how AI innovations are transforming quality management in the life sciences sector. First,...

5 Reasons to Incorporate AI in Quality

The future of quality management is here. Generative AI is changing electronic quality management systems (eQMS) by enabling faster, more accurate decision-making. AI’s ability to analyze large datasets almost instantly provides continuous, actionable insights, improving quality management processes. In fact, quality management is one of the top processes that can benefit from generative AI. The...

The State of Generative AI in Life Sciences: The Good, The Bad and The Ugly

An Overview of Key Findings  Axendia recently released its report, “The State of Generative AI in Life Sciences: The Good, the Bad and the Ugly.” This report highlights the positive impact of generative AI in life sciences, with key focuses on the benefits, adoption rates, opportunities, and challenges that come with it. Below are a...

3 Challenges Faced by Life Sciences Organizations Without an AI-Powered eQMS

Quality is critical in any organization. Within the life sciences industry, where low quality can result in dire consequences for patients, a high level of quality is non-negotiable. Technology advancements like AI-powered electronic quality management systems (eQMS) are making quality more intuitive and enabling a predictive and proactive approach to quality management.  Manual or paper-based...

The Impact of Generative AI in the Life Sciences Industry

The use of digital technologies has become the standard within the life sciences industry, and the digitalization of data has facilitated the adoption of artificial intelligence (AI). The pace of this technology adoption has only continued to accelerate.  The U.S. Food and Drug Administration (FDA) has embraced the use of AI in FDA-regulated products, stating:...

Revolutionizing Complaint Management in Medical Device with AI-Integrated Quality Management Software

Introduction: In the fast-evolving landscape of the medical device industry, ensuring the highest quality standards is paramount. Complaint management plays a crucial role in identifying, addressing, and preventing issues related to product quality and patient safety. As technology continues to advance, the integration of artificial intelligence (AI) into quality management software solutions has emerged as...