The AI-Enabled Organization
Unearthing actionable business insights within unstructured communications, voice, trade, and social media data.
The exponential growth in data generated today, challenges peoples’ ability to analyze information and to make decisions based on available data.
Existing classification systems can filter and categorize data, but insufficient accuracy rates questions their ability to generate useful business intelligence.
The advent of AI, and Machine Learning in particular, has created an opportunity for organizations to derive deeper, more nuanced insight into their communications.
Global Relay’s sector-specific AI allows you to understand not only what’s being said, but how it’s being said. This broader understanding of business operations facilitates more informed decisions – identifying where the real risks are so they can be addressed effectively.
Some of the ways our clients use AI to enhance business efficiency.
Complete the regulatory supervision of employee communications more efficiently through the reduction of false positives, an increase in true positive detection, and the effective identification of insider threats.
Spot insider threats or potentially rogue events as they happen, before it’s a problem.
Identify strengths, weaknesses, and opportunities in customer engagement, strategy, and execution.
Customer support triage & retention
Pinpoint dissatisfied customers and poor client relations before it impacts your reputation, your brand, and your business.
HR & employee engagement
Using industry leading sentiment analysis, gain insight into employee engagement, satisfaction levels, and likely attrition.
AI models designed for your industry
Our sentiment models combine natural language processing, text analysis, and computational linguistics to measure the positivity and strength of emotion, in text and voice communications. This is then represented as either a numerical value, or more simplistic positive/neutral/negative categorization.
Our customers typically combine this with their lexicon-based policies to infer anomalous communications that may require supervision.
This model is specifically designed to identify content that has already been approved for release. Therefore its inclusion within communications is not a concern. These are a common cause of false positives, which is difficult to eliminate by conventional means.
Our PAC models can identify exact, near-exact, or partial matches, which our customers then configure to optimally reduce the erroneous classifications caused by content they are not concerned with.
Our language detector can identify the predominant language used within a conversation.
This is often used by our customers to help route conversations that require review by a supervisor to a local language speaker. It is also used to help identify conversations that are being conducted in a language different to the approved or expected one.
Regulatory policy models
The most effective models our customers employ are trained within our AI Lab, identifying specific business objectives or regulatory requirements.
For example, Business/Non-Business classifiers filter out irrelevant conversations to help focus on business-critical communications. Bribery models are designed to flag conversations that are similar to ones that previously raised concerns with compliance.
In fact, many of our industry-specific, machine learning models can be trained to filter review queues. It can also help compliance and risk officers focus on the most relevant and high-risk conversations to meet their compliance objectives.
Identify the most important relationships in your organization.
Metadata from employee conversations, the way they communicate, the frequency, as well as the channels and topics they discuss all combine to create highly informative relationship graphs, within the Global Relay Archive.
These are used to identify individuals and teams that build healthy, productive relationships with their peers and external communities.
Similarly, those relationships that pose the highest risk to an organization can be identified, ensuring that risk officers or senior management focus on what’s most important.
View real-time analytics and timeline visualizations.
Our search analytics function allows for deep interrogation and forensic drill down into your data, unearthing the most relevant conversations on topics of interest. Our relationship and timeline graphing capabilities identify patterns of behavior that lexicon-based searches alone cannot reveal.
Through a variety of engaging and highly configurable dashboards, including timelines, interactive charts, bar graphs, and statistical tables, users are able to visualize and reconstruct conversations and activity of interest.
Global Relay Archive’s rich analytics delivers the insight and actionable business intelligence to maximize the true power and potential of our AI.
Global Relay AI Lab
Global Relay takes a unique approach to applying AI-enabled analysis and classification. Simply, it does not require costly external data lakes or high-risk repositories for your data.
Our approach applies AI to your data as it seamlessly flows into the archive. This ensures a rich store of valuable metadata is immediately captured before it is retained in the gold-copy archive.
All models can be built, trained, evaluated, tested, and promoted into production using a fully integrated AI lab environment, hosted within our data centers. This highly secure data science workspace provides a web-based development environment, where our customers are able to build models to their precise specification.