Roles in the Data/AI World: Poker Cards
Confused by Data & AI job titles? This guide turns roles into poker cards, so you know who does what, when to hire, and how to build your best hand.
Trends & Insights💡 |
In this section, we step back from technical details to explore the major trends, challenges, and debates shaping the Data & AI industry. From emerging technologies and regulatory shifts to the evolving roles of data professionals, this is a space for analysis and reflection, helping you stay ahead in a rapidly changing landscape. It’s where we connect today’s signals to tomorrow’s opportunities.
What You’ll Find Here
- 💡 Industry Trends: The forces reshaping the Data & AI world, from real-time architectures and AI to regulatory pressures and emerging paradigms.
- 👤 Data & AI Roles: How the work of data professionals evolves in the age of automation, low-code tools, and AI-driven engineering.
- 📖 Book Reviews: Unbiased takes on the most relevant books in Data & AI, helping you decide what’s worth reading.
Navigating Data & AI Roles
These poker cards illustrate the key roles of modern Data & AI teams, from leadership positions like Chief Data Officer to hands-on experts such as engineers, scientists, and AI specialists.
Together, they highlight how responsibilities combine to deliver value across the data lifecycle.
