Can data scientists outpace change?

The rapidly evolving analytics landscape calls for forward-thinking technologists to stay ahead. Join this SASchat to explore how trends such as generative AI, ethical AI and real-time insights are shaping the future.

Discussion triggers

  1. What are the biggest challenges facing data scientists today?
  2. How are these amplified by the pace of change and digitalization?
  3. What steps can data scientists take to stay ahead of these changes?
  4. How are progressive data scientists engaging and influencing business stakeholders to optimize business value?
  5. What should hiring managers look for when recruiting data science practitioners?

Past panel discussions on topic


Data science talent strategies in the era of the great resignation

Data science work and its professionals are accustomed to rapid changes.
Hear from our panel of skills experts and fellow data scientists on strategies for employers and data scientists alike to thrive in the era of the great resignation.


Designing better data science careers

Since its origins in statistics, the scope of data science as a profession has expanded in leaps and bounds. Hear from our panel about exciting changes ahead for progressive data scientists.


The many hats of data science

The path to data science-led insights seems to be paved with code development that can take up more time. Join this panel to explore how data scientists can improve their days towards more discovery.


Work Methods for Data Scientists

A lack of methodology and a focus on technical factors rather than communication and interpersonal issues are cited as reasons for struggling with gaining value from analytics

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