.svg){kind=small}
by Aware
Aware unlocks the next level of AI powered, real-time understanding of employees, turning unstructured human-generated text into actionable insights with the launch of Aware’s Generative AI Summaries within Spotlight Custom Reporting.
Get started with generative AI summaries today
Do more with your data with Aware
Aware's customers rely on us to gain deeper understanding of specific topics, behaviors, and employee experiences within their organization. Making sense of that data, condensing it into reports, and making it actionable for the enterprise can be challenging and time consuming. Aware's new generative AI summaries condense thousands of public responses into digestible takeaways that surface the most valuable, impactful information from your public data.
This feature unlocks the ability to expedite your workflow by giving you the trustworthy insights you need, while eliminating the legwork involved in trying to uncover them. You’ll instantly be able to provide a short, actionable narrative to your leadership team, with the confidence that your summaries are truly representative of the voice of all of your employees.
Summaries that amplify employee voices
The first iteration of this release is available within Custom Reporting in the Spotlight application, combining the power of the Aware AI data platform with a narrative around topics employees care about most. Summaries can be generated from any data source that you have connected to Aware, including open-ended responses from surveys.
Currently, Summaries will be created based on the sentiment behind your integrated collaboration platform’s public messages. Users will be able to view summaries on messages identified as Positive or Negative by our Sentiment NLP model and are found in the Public Message Anomalies ledger of Custom Reports.
Trustworthy generative AI designed for enterprise use cases
The principles of responsible AI are at the core of Aware's ethos for every new feature we develop, and generative AI summaries are no different. We consider data security, traceability, and accuracy to be of the utmost importance, and are committed to transparency throughout our development lifecycle.
Most generative AI solutions are developed via large language models (LLMs) that have been trained on generic, publicly available data over the course of years. These models are often developed through a consumer-specific lens and hold a massive amount of information. When used for more specific business applications, this approach can result in dated or inaccurate insights, and lack data security and traceability. Aware takes a different approach to generative AI—one that is purpose-built for the enterprise and ensures that your most valuable data is protected and used responsibly.
Instead of massive data sets, Aware’s proprietary behavior machine learning (ML) models are narrowly trained on billions of digital conversations expressly for business use cases. This vertical approach results in enterprise-ready models that are purpose-built to make sense of how people communicate online. The resulting models, including our new Information Quality model, are used to both enrich and filter ingested conversation data from any source. These models enable use cases across the enterprise and provide you with the accurate, relevant insights Aware is known for.
With Aware, there is no need to worry about the risk of outdated data. Our continual ingestion pipeline means that generative AI summaries are both timely and reflective of how people communicate today—not back in 2019. Additionally, because Aware’s models are smaller and more cost-effective, end-user deployment requires little technical infrastructure investment.
Businesses can also feel confident in the security of their summarized data. All user data is processed and analyzed within a single, secured environment. Additionally, users retain access to the public verbatims, allowing for easy traceability of summarized data, all while respecting the existing data access permissions for the specific user. Documentation is available upon request, giving users the confidence necessary to implement Generative AI at scale.
What's next for enterprise generative AI from Aware
Generative AI Summaries power a variety of use-cases, including:
- Providing insight into events surfaced within the Signal application
- Summarizing results uncovered with Search & Discover
Access to Summaries is available an an add-on to Aware users. Check out this offering and Aware’s other solutions for employee experience now, or get started today with your first survey analysis for free.
