Practical AI Roles to play in the AI dev workflow
Jun 22, 2020
Discover the intricate roles in AI development, from scoping solutions to technical engineering tasks. The discussion dives into ethical AI principles, emphasizing community engagement, fairness, and bias. Explore how Microsoft is evolving open-source tech to enhance AI workflows. Learn about balancing user experience with technical design and the importance of integrating AI within software engineering practices. Finally, navigate the transition from prototype to production, highlighting knowledge transfer and the real-world implications of ethics in AI.
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Streamlit's Funding
- Streamlit, an open-source framework for creating interactive apps from Python scripts, secured $21 million in Series A funding.
- This funding will help expand Streamlit's capabilities and support its team.
Streamlit's Value
- Streamlit addresses the difficulty of integrating machine learning applications into business processes that require visual interaction.
- It simplifies building user interfaces for AI applications.
Diverse AI Careers
- Explore diverse AI/ML career paths; don't limit yourself to data science.
- Consider evolving your current role into an AI-related one by leveraging existing skills.