Sign up to save your podcasts
Or
Share Navigating Global Supply Chains with Data and Machine Learning
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Navigating Global Supply Chains with Data and Machine Learning
In this insightful episode, Amir Bormand speaks with Peter Swartz, Altana's Chief Science Officer and Co-Founder, about using data science and machine learning to revolutionize global supply chain management. Peter discusses his journey from quantitative political science and civil engineering to becoming a leader in AI-driven supply chain solutions. He highlights the importance of domain expertise, data-driven decision-making, and leadership growth in scaling impactful technology.
Key Takeaways:
Cross-Disciplinary Expertise Fuels Innovation:
Peter’s diverse background in civil engineering and political science uniquely positioned him to tackle complex global supply chain challenges with data science and AI.
The Value of Domain-Specific Knowledge:
Understanding the global supply chain domain deeply enhances AI application effectiveness by allowing more accurate data modeling and meaningful insights.
Leadership Through Continuous Learning:
Transitioning from a technical role to a leadership position requires embracing feedback, learning from peers, and being open to evolving skill sets.
Building Data-Powered Systems:
Altana’s mission is to create a global value chain management system that maps billions of data points across supply chains to enable better decision-making at scale.
Balancing Technical and Business Leadership:
Peter shares his experience of balancing technical product development with business leadership responsibilities to drive business success.
Episode Highlights:
[00:02:30] Blending Civil Engineering with Data Science
[00:05:00] Founding Altana: The Why and How
[00:08:00] Applying AI to Real-World Supply Chain Problems
[00:12:00] Developing Scalable Data-Driven Solutions
[00:16:00] Transitioning into Leadership and Management
[00:20:00] Importance of Mentorship and Feedback
[00:24:00] Leadership Lessons for Technical Founders
[00:28:00] How to Stay Passionate and Focused
Connect with Peter Swartz:
Website: Altana.ai
LinkedIn: https://www.linkedin.com/in/pgswartz
Don't Miss: If you're passionate about AI, data-driven decision-making, and leadership growth, this episode is a must-listen. Share with your network, like, and subscribe for more in-depth conversations on tech and leadership.
View all episodes
By Elevano
5
5252 ratings
In this insightful episode, Amir Bormand speaks with Peter Swartz, Altana's Chief Science Officer and Co-Founder, about using data science and machine learning to revolutionize global supply chain management. Peter discusses his journey from quantitative political science and civil engineering to becoming a leader in AI-driven supply chain solutions. He highlights the importance of domain expertise, data-driven decision-making, and leadership growth in scaling impactful technology.
Key Takeaways:
Cross-Disciplinary Expertise Fuels Innovation:
Peter’s diverse background in civil engineering and political science uniquely positioned him to tackle complex global supply chain challenges with data science and AI.
The Value of Domain-Specific Knowledge:
Understanding the global supply chain domain deeply enhances AI application effectiveness by allowing more accurate data modeling and meaningful insights.
Leadership Through Continuous Learning:
Transitioning from a technical role to a leadership position requires embracing feedback, learning from peers, and being open to evolving skill sets.
Building Data-Powered Systems:
Altana’s mission is to create a global value chain management system that maps billions of data points across supply chains to enable better decision-making at scale.
Balancing Technical and Business Leadership:
Peter shares his experience of balancing technical product development with business leadership responsibilities to drive business success.
Episode Highlights:
[00:02:30] Blending Civil Engineering with Data Science
[00:05:00] Founding Altana: The Why and How
[00:08:00] Applying AI to Real-World Supply Chain Problems
[00:12:00] Developing Scalable Data-Driven Solutions
[00:16:00] Transitioning into Leadership and Management
[00:20:00] Importance of Mentorship and Feedback
[00:24:00] Leadership Lessons for Technical Founders
[00:28:00] How to Stay Passionate and Focused
Connect with Peter Swartz:
Website: Altana.ai
LinkedIn: https://www.linkedin.com/in/pgswartz
Don't Miss: If you're passionate about AI, data-driven decision-making, and leadership growth, this episode is a must-listen. Share with your network, like, and subscribe for more in-depth conversations on tech and leadership.
More shows like The Tech Trek
View all
The Bill Simmons Podcast
30,112 Listeners