Key Points
The demands of the rapidly changing business environment and the advancement of the Al age is already beginning to bring in significant disruption to the data talent landscape as well..
As we discussed, value is generated at each stage of the data management value chain..
On the other hand, as the importance of leveraging data effectively in driving business outcomes has increased tremendously, it has become increasingly important for data professionals to expand their capabilities beyond core data skills to become more business outcome focused...
Traditional data science roles are shrinking, becoming more specialized Once dubbed the sexiest job of the twenty-first century, data science has now become an integral part of data-driven organizations, and will continue to be in high demand especially with the rising importance of Gen AI..
The emergence of low-code and no-code platforms, which are easy to use, has simplified the data preparation process, making it more accessible and widely adopted, freeing up a data scientists time to focus more on generating relevant insights..
