Upskilling for AI: Roles, organizations, and new mindsets

The AI Fundamentalists

Data scientists, researchers, engineers, marketers, and risk leaders find themselves at a crossroads to expand their skills or risk obsolescence. The hosts discuss how a growth mindset and "the fundamentals" of AI can help.
Our episode shines a light on this vital shift, equipping listeners with strategies to elevate their skills and integrate multidisciplinary knowledge. We share stories from the trenches on how each role affects robust AI solutions that adhere to ethical standards, and how embracing a T-shaped model of expertise can empower data scientists to lead the charge in industry-specific innovations.
Zooming out to the executive suite, we dissect the complex dance of aligning AI innovation with core business strategies. Business leaders take note as we debunk the myth of AI as a panacea and advocate for a measured, customer-centric approach to technology adoption. We emphasize the decisive role executives play in steering their companies through the AI terrain, ensuring that every technological choice propels the business forward, overcoming the ephemeral allure of AI trends.
Suggested courses, public offerings:

• Undergrad level Stanford course (Coursera): Machine Learning Specialization
• Graduate-level MIT Open Courseware: Machine Learning

We hope you enjoy this candid conversation that could reshape your outlook on the future of AI and the roles and responsibilities that support it.
Resources mentioned in this episode

• LinkedIn's jobs on the rise 2024
• 3 questions to separate AI from marketing hype
• Disruption or distortion? The impact of AI on future operating models
• The Obstacle is the Way by Ryan Holiday

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Chapters

1. Upskilling for AI Roles (00:00:03)

2. Upscaling AI Skills for Data Scientists (00:06:26)

3. Data Science Specialization Impact on Industry (00:15:36)

4. Challenges of AI Adoption, Role of Auditors (00:21:59)

5. Executive Role in AI Implementation (00:32:40)