futureofanalytics

[futureofanalytics]

As Generative AI continues to evolve, many have been asking whether it will replace data scientists. But anyone predicting that data scientists will be replaced by GenAI—at least based on its current trajectory—likely sees them as nothing more than “SQL monkeys” churning out data and charts.

The role of a data scientist goes far beyond querying data and building dashboards. It’s a unique blend of creative thinking, deep business and customer understanding, and close collaboration with cross-functional teams (XFNs). In fact, the parts of the job that are most likely to be replaced by GenAI are often the ones data scientists enjoy the least.

In this blog, we explore which aspects of data science are most likely to be impacted by AI, which parts of the role will remain uniquely human, and how data scientists can adapt and thrive in this evolving landscape.

[futureofanalytics]

Gen AI in analytics

Generative AI is transforming data analytics through automated reporting, synthetic data generation, and fresh data visualizations. Yet challenges like data quality, ethics, and skill gaps remain. Explore how analysts can integrate generative AI into their workflows responsibly, harnessing new opportunities without losing the human touch. The future of analytics has to be a combination of human + AI skills:

https://www.futureofanalytics.net/blog-future-of-data-analytics/generative-ai-in-data-analytics-opportunities-challenges

[futureofanalytics]

Where will analytics land on other end of GenAIpocalyse? Will it permanently change the threads of how analytics work and where will humans have edge. A brief discussion on the future of analytics in the era of GenAI