We’re excited to share new updates and enhancements for August, including highlights: For more information on these updates and others, please read our complete list below and follow the links for more detailed articles.

Traditionally, TMFs were immense paper files amassing all the required information and evidence for future audit. The manual collation of data and resources was time-consuming and prone to human error. Paper filing is difficult at scale, especially when some trails last more than a decade. To alleviate these issues, companies began storing their Trial Master Files in electronic formats about 14 years ago.

This month's product updates and enhancements rollup includes Egnyte Copilot, Copilot for Mobile, and eSignature Templates. Please visit the articles linked below for more details.

Effective data governance has become a cornerstone of success in today's rapidly evolving life sciences landscape. From ensuring regulatory compliance to enabling secure collaboration, a robust data governance strategy is essential. ‍

In today's rapidly evolving digital landscape, organizations face the critical challenge of maintaining robust data security while ensuring seamless access and collaboration. As businesses become increasingly digitized, the volume of sensitive and confidential information shared across departments, with suppliers and partners, has skyrocketed. This digital transformation brings numerous benefits but also heightens the risk of data loss, leakage, and unauthorized exposure.

In today’s hybrid office environments, it can be difficult to know where your most valuable and sensitive content is, who’s accessing it, and how people are using it. That’s why Egnyte focuses on making it simple for IT teams to manage and control a full spectrum of content risks, from accidental data deletion to privacy compliance.

In Part 1 of this series, we explored the intricacies of language models' "Retrieval" aspect, delving into how these models search and pull relevant information from vast data repositories. As we continue our journey into understanding the inner workings of language models, let’s turn our attention to the next crucial stage, "Augmentation and Generation." In this blog post, we will explore the augmentation and generation phase, a process that is integral to the functioning of the RAG pipeline.