Digital Reasoning

Fraud. Negligence. Ethics. Intellectual Property Loss. It's crucial to understand what's happening and why. Here's how to provide a "future-proof" data foundation for employee communications. #FutureofWork

Reduce the risk of fines and legal issues by using a modern approach to records management. We look into some recent violations and provide strategies to help your policies better comply with #publicrecords laws. smar.sh/3aVdjwa

JUST IN: We've published the 2021 Report on FINRA's Examination and Risk Monitoring Program. This report is designed to inform member firms' compliance programs by providing annual insights from our ongoing regulatory operations. Learn more ▶️ bit.ly/36wGHri

Join us 12/16 at 12pm EST for part two of our webinar series, Capturing Variances 101. Our presenters Kevin Keenan and Svetlana Godjevac will discuss various techniques to account for inadvertent or rogue ways to avoid surveillance. Register now: register.gotowebinar.com/register/17584…

Intentionally or unintentionally mistyped words and obfuscated language can be a challenge for search or #lexicon use in #surveillance.

Watch our on-demand webinar, Best Practices for Model Building Using Machine Learning: Data Labeling 101. In the first part of a four-part series we discuss the universal principles of #databuilding, best practices, and the future of #modelbuilding. vimeo.com/476345172

When it comes to data labeling for building a #machinelearning model, it’s important to bridge the gap between theoretical #datascience and practical decisions teams need to make fast leaps in order to meet deadlines and get their models into production.

Join thought leaders from across #finserv for an engaging discussion about the #FutureofWork & learn how to leverage the #Cloud, #AI, and #MachineLearning to make sense of all your communications data as companies continue to work remotely.

In this article, @dreasoning Founder and CEO, Tim Estes, reflects on the company's 20-year journey and how it has uniquely prepared the company, now combined with Smarsh, to meet the challenges of monitoring remote work through Communications Intelligence. bit.ly/39fQsMy

Join us December 16th at 12m EST for part two, Capturing Variances 101, where we will discuss various techniques to account for inadvertent or rogue ways to avoid #surveillance. Register now: lnkd.in/gScquVm

In part one of our four part webinar series, Best Practices for Model Building Using Machine Learning, we discussed the universal principles of #databuilding, best practices, and the future of #modelbuilding. Read key takeaways from Data Labeling 101 here lnkd.in/gBvJyrs

Our Insider Risk solution analyzes employee communications and finds signals of employee intent in order to proactively find #insiderthreats. Protect your business from potential insider threats before it’s too late. Learn more about our solution here: hubs.li/H0Bqm6D0

Approximately 60% of employees will take intellectual property when they leave a company. Over the last two years, the number of insider incidents has increased by 47% (TechJury, 2020).

Read here: hubs.li/H0B54Yc0

Here we explain how using an intent-based #technology solution to analyze written and spoken communications, your firm can uncover an employee’s attitude to the firm, ethics, and potentially, their intent to engage in misconduct, long before they put a plan into action. #AI

What if your firm could establish an insider’s intent, well before they engaged in #misconduct?

In our article, Connecting the Dots: Gathering Communications Data Wherever It Resides, we discuss the importance of aggregating #electroniccommunications from various platforms in order to maintain regulatory #compliance, prevent #misconduct, and more. hubs.la/H0B54T80

Today is day two of the #XLODGlobalConference! Be sure to join us at the live debate “E-Comms Surveillance” where John Holland (Senior Vice President of EMEA/APAC) will be a lead panelist answering questions about AI within #banks.

Join our webinar, 12/11, where we will discuss various techniques to account for inadvertent or rogue ways to avoid #surveillance. We will also explain some novel techniques from #datascience to solve these problems. #AI #Data hubs.li/H0B3S3H0

When it comes to search or #lexicon use in surveillance, we’re often asked if our model building software can find and retrieve intentionally and unintentionally mistyped words and obfuscated language.