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If you want to sell AI solutions, talk about efficiency and cost-savings. That’s the strategy pursued by most technology vendors today.
In the last few weeks, Qualtrics and Phenom both announced enhancements to their platforms in the name of increasing productivity and improving the user experience. Phenom believes AI provides solutions providers and users with the chance to enhance productivity through improved hiring. Qualtrics highlighted the ability to eliminate rote chores and give employees time to focus on “more important” or “strategic” issues. In both cases, the user experience allows managers to more easily access data and analytics, with an eye toward putting intelligence to actual use.
And taking action is vital, both believe. Some 64% of consumers will drop one brand for another after a single bad experience, Qualtrics CEO Zig Serafin told his company’s X4 Experience Management Summit. “You can’t act on what you can’t hear,” he said. “You can’t be reactive anymore.”
Such messaging is a welcome change from the standard “save time, save money” pitch being heard across the business. More vendors are providing specifics on the processes AI can strengthen and the results AI can improve when analysis tools are put directly in the hands of line and middle managers, and are designed for those users rather than data scientists or executives alone.
Evolution’s a good thing, and the fact that vendors are talking about specific use cases is a sign that AI, as a business, is maturing.
Last week, everyone – everyone – said improving efficiency was AI’s most important benefit.
Qualtrics Wants Managers to Understand Data, Then Do Something With It
Qualtrics introduced a variety of new capabilities across its platform, with several focused on analyzing and acting on data regarding the employee experience. Built on Qualtrics AI, the new features allow the EX suite to identify workforce issues (such as high attrition rates), help managers make more customized use of employee feedback and recognize behavioral signals that impact engagement and productivity. [WorkforceAI]
In Phenom’s World, AI Supports Efficiency and Strategic Thinking
Phenom unveiled a variety of enhancements and new features across its platform. Most notable: Talent Experience Engine, which provides talent marketers with content-creation tools that leverage data to create branded campaigns tailored to individual candidates. In describing its products, Phenom’s focus was on the idea of making the employment marketer’s job less about content creation and more about strategy. [WorkforceAI]
Crosschq Release Aims to Present Clearer View of Hiring
Crosschq launched an enhanced “recruiting analytics and quality-of-hire engine” to help talent acquisition teams compile and analyze data more efficiently. The product, Crosschq Insights 2.0, pulls data from multiple sources into a single dashboard, which the company says will offer a more comprehensive and controlled look at the hiring process. [WorkforceAI]
AI Customers Leverage External Solutions to Boost Productivity
Nearly three-quarters (71%) of organizations prefer to procure generative AI solutions from technology vendors rather than create their own, according to study conducted by Forrester Research for Apexon, a digital transformation firm. That spotlights a strategic shift toward leveraging external expertise for technological advancement, the company said. Among the study’s highlights: Improving employee productivity is the primary use case for Gen AI, while investments in the technology are expected to grow significantly. [Apexon]
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