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What is Data Architecture? Frameworks, Principles, Examples
Working in the Age of Generative AI
Working in the age of generative AI presents both opportunities and challenges. On one hand, the ability to automate certain tasks and generate new ideas and solutions can greatly increase productivity and efficiency in the workplace.
On the other hand, there is the potential for job displacement and the need for workers to adapt and learn new skills to stay relevant in the workforce.
As AI continues to evolve, it will be important for companies and individuals to find a balance between leveraging its capabilities while also maintaining ethical and responsible use. This includes considerations such as data privacy, bias, and transparency in decision-making.
In this episode of the EM360 Podcast, Head of Content Matt Harris speaks to Mike Bollinger, VP of Strategic Initiatives at Cornerstone, about:
- The meteoric rise of generative ai
- Death of white-collar jobs?
- Solving problems by employing an AI-friendly culture
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