While more software GTM (Go-To-Market) teams are using AI, few have realized the technology’s full potential. How do they get more out of it than “random gains in productivity?”

I’ve researched how pioneering leaders are using AI to form the “GTM teams of the future” and achieving unprecedented business outcomes as a result.

Talk Abstract

Discover how leading software GTM teams are revolutionizing Marketing, Sales, and Customer Success by scaling AI. This session will provide a visionary outlook on the future of GTM, combined with practical advice on setting a winning AI strategy, selecting optimal tools, and seamlessly integrating AI into your teams.

We’ll explore real-world case studies where AI applications like predictive forecasting and natural language generation have driven remarkable improvements in GTM performance. You’ll gain insights into overcoming common obstacles, such as data integration challenges and resistance to change, with actionable steps to tailor AI tools to your unique brand and business context.

Learn how to maintain the flexibility to apply emerging AI capabilities and mitigate risks as you scale AI within your organization. By the end of this session, you will be equipped to transform your teams into agile, data-driven units capable of achieving remarkable business outcomes. Get ready to scale AI initiatives confidently and lead your team into the future of GTM execution.

Interview Questions

1. What inspired you to explore the field of AI in GTM?
2. How would you describe the benefits of AI to a GTM leader who is new to the technology?
3. Can you walk us through an example of how AI has helped a GTM team achieve extraordinary gains in performance?
4. What are some of the most common use cases for AI that you have come across in your experience?
5. With so many ways that a GTM team could use AI, how do you advise leaders stay focused?
6. How does a GTM team select the right AI tools for the job?
7. How are GTM organizations, such as the staff, structure, and culture, changing as AI becomes a bigger part of their work?
8. What makes an AI solution scalable versus not?
9. How do you see AI evolving in the next 1-2 years, and what opportunities do you think it will unlock?
10. What are some of the most exciting recent developments in the field of AI that you are keeping an eye on?
11. How can businesses ensure that the outputs generated by AI align with their brand and quality standards?
12. What are some of the key risks associated with using AI, and how can businesses mitigate these risks?
13. What challenges have you seen businesses face when trying to scale AI, and how can they overcome these challenges?
14. What skills and competencies do you think are most important for GTM leaders looking to implement AI successfully?
15. How do you see the relationship between humans and AI evolving in the workplace, and what opportunities and challenges does this present?
16. What advice would you give to businesses that are just starting to explore the potential of AI?

Related Posts