Paul Lewis
Intellectually honest practical AI for the enterprise
Male from Toronto, Canada and speaks EnglishAvailable for Collaboration, Interviews in In-Person, Remote Formats
I help enterprises leverage artificial intelligence and data management to overcome challenges in decision-making and operational efficiency so they can achieve sustainable growth and navigate the complexities of the digital landscape.
Topics Discussed by Paul Lewis
About Paul Lewis
I'm Paul Lewis, a Chief Technology Officer with over 30 years of experience in driving innovation in AI, data management, and cloud services.
At Pythian, I focus on educating enterprises and delivering cutting-edge AI solutions that enhance decision-making and drive sustainable growth.
Passionate about technology and its potential to solve real-world challenges, I enjoy sharing my insights on AI governance, ethics, and digital transformation through speaking engagements and contributions to industry publications.
Availability for Interviews
Weekdays only from 9am to 5pm America/Toronto
Interview & Promotion Format
- Guest Form
- Pre-Interview Call
- Share Episodes
- Email Subscribers
Target Audience
I help enterprises leverage artificial intelligence and data management to overcome challenges in decision-making and operational efficiency so they can achieve sustainable growth and navigate the complexities of the digital landscape.
Why Invite Paul Lewis as a Guest?
1. I bring over 30 years of experience in AI and data that can provide your audience with valuable insights on innovation and technology trends. 2. As a thought leader, I've contributed to industry discussions in major publications, ensuring your podcast features cutting-edge, relevant content. 3. My strategic leadership in diverse sectors, including finance and healthcare, offers real-world examples of AI's transformative impact on business outcomes. 4. I actively engage with technology executives, making me well-versed in the challenges and opportunities that resonate with your listeners. 5. My experience in teaching and mentoring future leaders can inspire your audience, bridging the gap between theory and practical application in AI and data.