This week, Censia was named the sixth most innovative company in Data Science by Fast Company Magazine. We share the list with the likes of Spotify, Robust Intelligence, and Everstream Analytics, to name a few!
So how did we lock in this win?
It was by never taking our eye off our mission to build tools that allow companies to effectively, efficiently, and ethically find, hire, and retain the best talent.
For the past five years, we’ve been working to make ethical AI in HR a reality by collecting, cleaning, standardizing, and adding intelligence to the world’s talent, company, and industry data.
That second part about adding company and industry data is pretty new, so let’s talk about this!
By adding company and industry data to our talent intelligence data standard, we allow organizations not only to pinpoint talent that matches their search model (of 27+different facets, from job titles, level, skills, capabilities, diversity, language spoken, and more), but to hone in on particular experiences (such as hypergrowth, series funding, mergers, etc.) as well as industry expertise in particular vertical, sectors and industries.
Say, for instance, that you were looking for a VP of Data Science in a Financial Institution with M&A experience, preferably a diverse candidate. Using traditional search technology, this search would take weeks and only include candidates from high-profile organizations. Because of the broken rung, it would not identify diverse candidates who have the right experience but were passed over for promotion and have a lower job title.
Now that company and industry data search are enabled, organizers can search whole industries, adjacent industries, and even highly qualified candidates likely to have the perfect skills match (even without the job title) in seconds.
This is important for two big reasons: one moral, one economic.
The moral reason is that using this kind of technology not only levels the playing field for women and people of color but also enables more efficient placement of candidates. It illustrates the skills workers need to stay competitive and creates more high-paying roles in traditionally overlooked communities. These future-proof jobs will lift and keep communities from being crushed by the future of work.
The economic reason is that the global workforce is transforming at supersonic speeds, and this causes problems for everyone involved in it, from individual contributors to managers, companies, and even whole economies. The global economy stands to lose trillions of dollars if this problem isn’t corrected in the coming years, and the way to do this is to get the right skills to the right people and to get those people into the right roles.
With the latest developments in Censia Talent Intelligence and Workforce Intelligence, individual contributors and organizations can compete more effectively in the economy, mitigating the impact of widespread automation.
We’re so honored that Fast Company also sees the need for this critical change. So there you go! That’s the 500-word summary of the five years of constant innovation that got us here. Thank you for being there for the ride. 🙏
