August 08, 2024
The new Customer Hub offers an easy approach to DataParser Support. Clients can open and track tickets as well as access knowledge base articles and technical guides. 17a-4’s DataParser, the leading independent connector solution to bring third party data including Zoom, Slack, Teams and Webex into any archive, eDiscovery or storage solution, offers a […]
Continue ReadingJuly 29, 2024
Transcripts – Meeting transcripts can now be collected! Clients need to enable the Archive API in the Zoom admin portal under the account settings/meeting settings. The latest version of Zoom is required to enable the workflow collection. DataParser will attach the JSONs and/or Text files of the full transcripts to outgoing meeting messages. Meeting Summaries […]
Continue ReadingJuly 09, 2024
On June 27th, FINRA released Notice 24-09 which outlines how firms must manage GenAI (Generative Artificial Intelligence) implementations. Though GenAI provides powerful new tools, they also create several compliance challenges. First, there are several ways that SEC firms are implementing GenAI but in general it is being driven by the expansion of centrally driven experiments. […]
Continue ReadingOur partner Mimecast has added DataParser to their marketplace of available integrations. Mimecast offers a multi-purpose platform that serves the needs of legal, compliance, and IT leaders, providing capabilities for retention, e-discovery, compliance, and supervision. Like DataParser, Mimecast was designed to help reduce cost, complexity, and risk. “We’re very happy to be included in Mimecast’s […]
Continue ReadingJune 25, 2024
A RingCentral module of DataParser is now being developed to support collection of chat data for archives and eDiscovery systems. “RingCentral has been on our radar for some time, so we weren’t surprised to get client requests for this module. We’re excited to be able to offer collection of RingCentral data.” said Tom Sinistore, […]
Continue Readinghelps government and public sector agencies manage regulated data with DataParser connector software for compliance, legal, eDiscovery and archiving procedures. is a top-ranked Government contract holder serving agencies across the US and Canadian Public sector, providing complete IT solutions and support. Carahsoft has launched a partner site for 17a-4’s DataParser. Government and Public Sector agencies […]
Continue ReadingA new version of Zoom DataParser supports AI Companion and Whiteboards; Zoom Workplace users can enable these features for communication and collaboration without jeopardizing compliance. 17a-4’s DataParser, the leading independent connector solution to bring third party data into archives and eDiscovery systems, supports collection of new features in Zoom. Organizations streamline communications, increase employee engagement, […]
Continue ReadingMay 02, 2024
The DataParser Messaging Schema for normalizing collaboration data is being formalized for GitHub distribution. New AI and text analytical programs have transformed institutions’ ability to improve corporate compliance, add value to client interactions, and deliver unprecedented operational efficiencies. Properly formatted proprietary content, whether email, documents, collaborative chats or text messaging, is the grist for these […]
Continue ReadingApril 24, 2024
Online meetings have become a very effective civic engagement tool. Citizens can view government meetings and participate in community discussions that they might otherwise not be able to join. Zoom meetings have become a standard platform for these meetings. However, preserving these meetings has become both technically and financially challenging for local and state agencies. […]
Continue ReadingApril 03, 2024
Data exports can be a great way to bring data into compliance. DataParser has modules designed specifically to handle exports from third-party data sources. Clients have used DataParser to process exports of users’ data from platforms like Slack Business, LineWorks, WhatsApp, Global Relay Text and Advisor360. DataParser is developed to collect data directly from the […]
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