The Data + AI Skills Gap
The “skills gap” has been a concern for CEOs and leaders for many years, and the gap is only widening. According to McKinsey, as many as 375 million workers globally might have to change occupations soon to meet company needs. There is a significant divide between where workforces are presently and where they need to be in a few years. With this anticipated gap in mind, leaders need to shift their focus on upskilling and reskilling their workforce. This skills gap is especially felt with the fast-paced technology advancements of data + AI.
Impact of Databricks Training on Organizations
In a recent survey with hundreds of team leaders and people managers, we asked them to quantify the impact that Databricks training has had on their teams and organizations. Across a range of metrics from cost savings to greater efficiency to the ability to solve new business problems, team leaders have first-hand experienced the positive impact that Databricks training has had on their team’s overall effectiveness and the outcomes they have been able to achieve for their organizations.
As organizational needs have evolved, Databricks has been at the leading edge of the data + AI revolution and in parallel has deeply invested in ensuring the present and future data + AI talent is set up for success through Databricks training. To that end, earlier this year, Databricks launched the first Generative AI engineer learning pathway and industry-recognized certification exam. Since then, thousands of data + AI professionals have been trained and certified in Generative AI.
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