How to win with AI w/Prof. Tom Davenport
Some questions we discussed:
What inspired you to pursue a career in analytics and data science, and how did you get started?
You've written several books on the topic of analytics, including "Competing on Analytics" and "The AI Advantage." What led you to focus on these areas, and what insights have you gained from your research and writing?
How do you see the field of analytics evolving in the coming years, and what opportunities and challenges do you anticipate? In your opinion, what are some of the most important skills that aspiring data scientists and analytics professionals should cultivate?
Many organizations are struggling to leverage their data assets effectively. What advice would you give to leaders who are trying to build a data and AI-driven culture within their organizations?
You've also written about the ethics of AI and the potential risks associated with these technologies. What are some of the most pressing ethical concerns related to AI today, and how do you suggest we address them?
Finally, what advice would you give to students and young professionals who are just starting their careers in analytics and data science, and what qualities do you think are most important for success in this field?
“I think the human in the loop will become the norm for many enterprises...I still sort of feel that if you don’t need a human in the loop, it’s probably not an interesting enough job for a human to be performing anyway.”
“I think the biggest challenge for companies is really just getting started...the technology is not the biggest challenge, it’s really the cultural challenges that are the biggest obstacle.”
“We need to find ways to create more transparency around AI-generated content, so people aren’t as worried about it and can trust it more.”
Founder, Alp UgurayAlp Uguray is a technologist, operator, and founder of Masters of Automation, with experience across GTM at OpenAI, Solution Engineering at Snowflake, and the UiPath ecosystem as a five-time Most Valuable Professional. His work spans product, architecture, startups, and enterprise AI transformation.
https://themasters.ai