In many ways, 2022 has been an exercise in dealing with the reeling of the Covid-19 pandemic. All over the world, supply chain issues have led to a myriad of challenges for enterprises, leading to deep shifts in how we do business and unraveling many of our assumptions about how society operates.
This upending is seemingly never ending, with businesses now having to come to grips with the Great Resignation — the name given to the dearth in talent unfolding across all industries in wake of the Covid-19 pandemic.
Here at the AI, Data and Analytics Network we decided to take stock of the situation by asking hundreds of enterprises about the current make-up of their data experts and examining their short term and long term goals in this year’s talent survey.
Download Bridging the Data Talent Gap. How Enterprises are Reimagining the AI, Data and Analytics Workforce now to discover insights such as:
- The data science team structure of hundreds of enterprises.
- How enterprises are budgeting for data talent today.
- Which roles makeup most data science teams.
- Which tools best suit your data science goals and aspirations.
- How to avoid employee burnout.
To download this report per gratis, simply sign up to the AI, Data and Analytics Network now.
Download the report