This month's release rollup includes product updates and enhancements from Egnyte around AI-driven document summarization and helpdesk chatbot, workflow templates, and smart cache for Civil 3D. Below is a summary of these and other new releases. Visit the linked articles for more details.

Architecture, Engineering, and Construction (AEC) firms face challenges in design and construction due to complex workflows. Without specialized tools, collaboration can become slow and workflows become complicated, leading to delays and communication gaps -impacting productivity and project timelines for firms of all sizes.

Given the growth of hybrid work models, organizations are becoming increasingly decentralized. Employees operating from diverse locations access business information through various cloud tools and digital devices.

Imagine an intricate multiverse where each world holds endless possibilities. Now picture that same concept but for pharmaceutical research. Welcome to the Pharmaverse! Similar to the complex world of the multiverse, the Pharmaverse contains various solutions to explore, and each solution can be customized based on your data analysis needs. We first learned of the “Pharmaverse” during Mike Stackhouse’s session at the Egnyte for Life Sciences Virtual Summit. ‍

Easy and effective collaboration is a critical success factor for today's fast-paced construction projects. However, with multiple stakeholders deployed across various cloud platforms, document versions, and unreliable job site connectivity, finding and sharing project information can be challenging.

Microsoft Teams is the world’s most popular collaboration tool - used by over 300 million users globally. Its popularity stems from its breadth of collaboration capabilities, including instant chat, conversational channels, online meetings, and video calls. However, the sheer volume of content generated by these collaboration workflows can quickly lead to content management challenges.

The life sciences industry is at the forefront of data-intensive research and innovation. Scientists and researchers rely heavily on the collection, processing, and analysis of vast amounts of data generated by lab instruments. And they are often challenged by errors or confusion in managing data flows that in turn, have a direct impact on the quality of data and corresponding compliance with regulatory requirements.