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Seasonal schools on the path to democratization of AI

Self-service by domain experts and line-of-business users is one of the answers to solving the data science skills shortage. This panel will reflect on the experience of SAS Seasonal Schools in the path to democratization of AI.

Discussion triggers

  1. What is meant by the term democratization of AI?
  2. Why are organizations and their employees interested in such a development?
  3. What needs to be in place for democratization of AI to be successful?
  4. Why were seasonal schools created?
  5. What have the student experiences from the initial editions revealed?

Past panel discussions on topic

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Data science talent strategies in the era of the great resignation

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How marketing jobs are changing

Marketing technology is helping customers and suppliers find each other more effectively. Along the way, the scope of marketing is evolving. Join this conversation to hear how progressive marketers are staying ahead of the skills re-set.

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How to Solve The Data Science Skills Shortage

There are simply not enough data professionals to support the AI, machine learning and analytics initiatives being launched.

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Skills governance in the modern analytics capability

Data and technology need skilled professionals to unlock business value.

More ideas about skills and democratization of AI

SAS COMMUNITY
The role of seasonal schools in the democratisation of analytics

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Filling the recruitment gap: broadening strategies and reach or data science

INFOGRAPHIC
Building Tech Skills for the Future

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Which skills will dominate in the intelligent decisioning era?

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Teaching children AI skills for future jobs

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Get data science out of the IT department and into the boardroom

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For a more resilient future, organizations will need analytics