The top two blockers today for companies scaling AI are:
- Hiring people with AI skills
- Identifying good business cases
Some companies try to hire people who can address both issues, people with AI and business skills. Those people are so rare that they’re called unicorns. Hiring unicorns doesn’t work because they’re so rare and expensive. There are three job openings for every data science candidate. Eighty-three percent of data science teams were hiring in the first half of 2022 and the mean base salary for senior data science managers is now $280,000. Demand is high and prices are rising. That’s why McKinsey says that you can no longer hire and outsource your way out of your tech talent problem.
However, there is a proven alternative that we’ve seen succeed in many companies and industries: Upskill your current talent, monitor their performance, and nurture your AI rising stars.
In this webinar with Dataiku, you’ll hear solutions to the core challenges of hiring and upskilling talent in this market, with actionable how-tos that will position organizations to scale AI successfully in 2023 and beyond.
