Skills related to artificial intelligence, machine learning and data science continue to be in high demand, and companies are striving to play key roles in their quest for deep data insights to drive decision making and make the most of data. promise of artificial intelligence.
For those companies where AI is the key to the future, skills shortages are of particular concern. The CRM SaaS provider Salesforce definitely falls into that category. The company’s Einstein platform is one of the most common ways that companies implement artificial intelligence tools, as for most companies, the artificial intelligence built into the platforms they already use is a key means of taking advantage of this technology. emergent.
Based on IBM AI Global Adoption DataThe biggest barrier to AI adoption is a lack of skills, even as 43% of companies say they are accelerating AI deployment as a result of the pandemic. For Salesforce, which last year reached a earnings recordsGrowing 24% to $ 21 billion in total sales, thanks in part to its AI-powered Einstein platform, getting creative in the search for AI and data science talent has been essential.
Einstein’s predictions increased from 1 billion a day in 2019 to 80 billion a day Starting last November, a feat that wouldn’t have been possible without a multi-pronged approach to finding and improving talent, says Marco Casalaina, senior vice president of product management and general manager for Einstein at Salesforce, one that includes tapping into a variety of talents. groups beyond top-tier universities.