Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

Data is growing at an exponential rate, with organizations expected to generate a staggering 181 zettabytes by 2025. This surge is driven by the proliferation of multimedia content, user-generated content, and IoT devices. However, 90% of this data is unstructured, making it challenging for conventional search engines to efficiently index and deliver relevant results. According to IDC, knowledge workers spend about 2.5 hours or 30% of their workday, searching and retrieving information.

In a world where collaboration and efficiency are at the forefront, Egnyte’s partnership with Google Cloud is transforming the way work happens for businesses. We know that many of our customers are also Google Cloud and Workspace customers and that one can simplify procurement cycles and maximize technology investments through Google Cloud. That’s why, starting today, Egnyte is available on Google Cloud Marketplace! Let us break down how this all works.