AI Strategy: 6 Trends Changing The Role Of Data Scientists

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AI Strategy: 6 Trends Changing The Role Of Data Scientists
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As companies invest heavily in AI strategy and execution, data scientists find themselves in heavy demand paid intel

Yet as data scientists become increasingly in demand, and as acquiring the best of them to steer AI strategy becomes a board-level priority, change is coming. Here’s a look at six trends that are reshaping the position.Data skills are only the beginning of what a data scientist needs.

“Data scientists are now equipped with new methods from the latest AI research, and more powerful and efficient models become available every day,” Liu says. “Data scientists need to stay connected with AI research and customize and adapt these models to specific use cases. In our own data science work, the challenges we face in applying AI to use cases has inspired further research and innovation as well.

But in the long term, once the private sector gets fully up to speed in data science and AI strategy, its preoccupation with efficiency and productiveness could help data scientists optimize how they work. Melvin Greer, chief data scientist for the Americas at Intel, estimates that data scientists currently spend on average less than 20% of their work hours doing actual science and analysis.

“Data scientists are expanding their roles beyond finding solutions to predefined problems,” Liu says. “They’re also identifying opportunities where data science can help organizations grow their business. Business leaders in many organizations today are working with data science leaders closely to refresh and update their strategy.”

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