Smarsh Makes Forrester’s List of Notable Vendors
We get it: there are a lot of archiving vendors out there, and it can be tough to choose the right one for your organization.
But the reality is that the way we work continues to change, which means our data continues to change.
Just look at digital communications data. What was once simple, text-based emails now must make space for emojis on encrypted mobile apps, video and voice calls on collaboration platforms and even generative AI on customer chatbots.
You can’t just choose any archiving partner, yet you must choose an archiving partner — especially if your organization operates in a regulated industry.
That’s why we’re happy to share that we’re a notable vendor in, The Information Archiving Platforms Landscape Report Q2 2024, a recent Forrester report.
AI and machine learning set to disrupt the growing archive landscape
Over the past decade, the shift from on-premises to cloud deployment models has been an important modernization motion in the information archiving market, aligning with the overall shift to cloud for enterprise applications and digital workplace tools.
This has enabled a key trend: artificial intelligence technology and machine learning capabilities.
The report notes that AI and machine learning provide clients with new ways to investigate, analyze, and use their archives. These technologies aren’t new to this market and have typically automated e-discovery or other investigative requirements.
However, generative AI and enhanced rich media transcription and analytics present entirely new opportunities to help investigators, compliance teams, information managers and business roles engage with data and content via natural language and other approachable interfaces. This brings new value to aging archived corporate memory.
What makes Smarsh a leading AI-enabled surveillance archive?
Nearly a decade ago we introduced machine learning to communications surveillance. We followed that up by being the first to introduce transcription-powered voice surveillance, model governance, multilingual detection capabilities, and more.
Just this year, we’ve:
- Enhanced risk detection in communications surveillance with broad machine learning-based risk coverage
- Integrated with OpenAI's ChatGPT Enterprise Compliance API
- Introduced the industry’s first AI-powered communications surveillance tool
We’re also proud of our data science team for publishing the first comprehensive textbook on large language models, which are essential to emerging breakthroughs in artificial intelligence technology.
Large Language Models: A Deep Dive: Bridging Theory and Practice is available on Amazon, and is authored by:
- Dr. Uday Kamath, Chief Analytics Officer
- Dr. Kevin Keenan, Senior Director, Data Science
- Dr. Garrett Somers, Senior Data Scientist
- Sarah Sorenson, Principal Data Scientist
As a longtime leader in the information archiving market, we continue to reimagine how organizations in regulated industries can streamline their compliance workflows — even as data continues to grow in volume and diversity.
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Scalable for organizations of all sizes, the Smarsh platform provides customers with compliance built on confidence. It enables them to strategically future-proof as new communication channels are adopted, and to realize more insight and value from the data in their archive. Customers strengthen their compliance and e-discovery initiatives and benefit from the productive use of email, social media, mobile/text messaging, instant messaging and collaboration, web, and voice channels.
Smarsh serves a global client base that spans the top banks in North America and Europe, along with leading brokerage firms, insurers, and registered investment advisors. Smarsh also enables state and local government agencies to meet their public records and e-discovery requirements. For more information, visit www.smarsh.com.
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