Revolutionizing Workforce Analytics: Visier’s AI Assistant Vee Makes Data-Driven Decisions More Accessible

Today, the B2B workforce analytics company Visier announced its first generative AI assistant, Vee. The new AI assistant offers a range of features that help managers, HR leaders, and employees generate insights about their teams using natural language queries. With Vee, business leaders can quickly and easily extract insights from data and build reports automatically, providing new ways for businesses to engage with their data.

Vee’s Key Features

Vee is a generative AI assistant that enables users to easily generate insights from data using natural language queries. Users can type their queries into commonly used apps, and Vee provides near-instant insights about their teams. The AI assistant can be utilized to generate explanatory summaries from data visualizations, making it more convenient for businesses to comprehend and interpret data. One of the critical features of Vee is that it automatically transforms conversational queries into Visier’s query language and provides accurate, succinct narrative answers without relying on proprietary customer data. This ability makes Vee an ideal tool for businesses that are particularly concerned about data privacy and security. Vee is designed to be intuitive and user-friendly, even for those without a technical background.

At the heart of Visier’s vision is its new #askvisier

The command through popular workplace apps like Salesforce’s Slack and Microsoft Teams. Vee plays a critical role in achieving this vision, as it enables business leaders to extract insights from data quickly and easily. The #askvisier command is a powerful tool that allows business leaders to ask Visier a range of questions about their teams. Whether it’s queries about employee performance, compensation, or any other topic, business leaders can use the #askvisier command to extract insights from data quickly and efficiently.

Privacy and security

Visier guarantees the most advanced security model and permissions available for its AI assistant. Vee is designed to be secure and protect the privacy of sensitive data. The company has stringent data privacy policies and security protocols in place to ensure that user data is always safe and secure. In addition to the introduction of Vee, Visier has also announced Smart Compensation, a product designed to streamline the complex compensation planning process using a user-friendly, data-driven approach. Smart Compensation combines Visier’s AI capabilities with an intuitive user interface to provide businesses with an efficient compensation planning process.

Visier was founded in 2010 and has grown to reach over 25,000 customers in 75 countries, including BASF, Bridgestone, Electronic Arts, McKesson, and Merck KGaA. The company has established itself as a leader in the workforce analytics industry, by providing businesses with innovative solutions to help them harness the power of data. Vee is currently available for customer and partner preview and will be widely available in autumn 2023. This timeline provides businesses with ample time to prepare for the introduction of Vee and start exploring how it can help them extract insights from their data quickly and easily.

Explore more

Agentic Customer Experience Systems – Review

The long-standing wall between promising a product to a customer and actually delivering it is finally crumbling under the weight of autonomous enterprise intelligence. For decades, the business world has accepted a fragmented reality where the software used to sell a service had almost no clue how that service was being manufactured or shipped. This fundamental disconnect led to thousands

Is Biological Computing the Future of AI Beyond Silicon?

Traditional computing is currently hitting a thermal wall that even the most advanced liquid cooling cannot fix, forcing engineers to look toward the three pounds of wet tissue inside the human skull for the next leap in processing power. This shift from pure silicon to “wetware” marks a departure from the brute-force scaling of transistors that has defined the last

Is Liquid Cooling Essential for the Future of AI Data Centers?

The staggering velocity at which generative artificial intelligence has integrated into every facet of the global economy is currently forcing a radical re-evaluation of the physical infrastructure that houses these digital minds. While the software side of AI receives the bulk of public attention, a silent crisis is brewing within the server racks where the actual computation occurs, as traditional

AI Data Center Water Usage – Review

The invisible lifeblood of the global digital economy is no longer just a stream of electrons pulsing through silicon, but a literal flow of billions of gallons of fresh water circulating through massive industrial cooling systems. This shift represents a fundamental transformation in how humanity constructs and maintains its digital environment. As artificial intelligence moves from a speculative novelty to

AI-Powered Content Strategy – Review

The digital landscape has reached a saturation point where the ability to generate infinite text has ironically made meaningful communication harder to achieve than ever before. This review examines the AI-Powered Content Strategy, a methodological evolution that treats artificial intelligence not as a replacement for the writer, but as a sophisticated architectural layer designed to bridge the chasm between hyper-efficiency