Using Data & AI For GTM
Key Takeaways:- Learn why domain-specific AI is critical for leadership, sales, and marketing teams in B2B
- Understand how to integrate data, science and AI into your go-to-market efforts
- Discover what best practices for AI-native software, talent, and processes are available in complex GTM initiatives
Description
Go-to-market (GTM) knowledge is critical in unlocking business potential. Yet, it is tightly kept secret by big tech and leading top-tier strategy consultancies. This significant knowledge gap, coupled with the need for expertise to deploy it correctly, poses a major challenge for many B2B businesses. Both of these prerequisites to success are all too often out of reach. Their absence leads to major problems. But imagine a world where you have access to intelligent execution software at your fingertips. A scenario where every business leader, marketing and sales professional becomes a GTM expert.Neurosymbolic AI is the only way to translate domain expertise and wisdom for everyone to use.
In this panel interview, Emin Can Turan, CEO at Pebbles Ai, and Laura Gent Felker, Senior Director of GTM Analytics at MongoDB, will engage with GTM experts to explore how data and AI can enhance every stage of the go-to-market workflow.
You’ll learn how executives can use neurosymbolic AI to shape science-based marketing strategies, understand how marketing teams can run more impactful campaigns with AI agentic support, and discover how sales teams can leverage intelligent workflow applications to win deals more effectively.The panel will also discuss best practices for choosing the right software, developing talent, and implementing effective processes to support a science-based GTM approach.
And why science is the key to B2B success.
Presenter Bio
Emin Can Turan (Can) is a serial entrepreneur and published (Oxford Uni Press, 2022) all-round B2B Marketing Strategist with first-rate leadership background with various Fortune 500 firms. A solid 10+ years of experience across strategic fields of marketing.
Previously at Google, Cisco and Walmart Global Tech in Product Marketing, Data Insight, and B2B Pricing, driving performance by the millions. Architect of the GTMS™ strategy models at Can & Co, and ex-Co-founder at AnalystPro AI, a SFC Capital backed SaaS venture.He is currently the Founder and Lead Researcher at Pebbles Ai, an all-in-one Revenue Growth Platform that unites neurosymbolic AI, advanced AI agents with smart go-to-market workflows — purpose-built for B2B success.
Laura has been at Salesforce for the last decade specializing in data and insights for the Quote-to-Cash (QTC) lifecycle. She built a best-in-class data organization from the ground up focusing on data visualization, data engineering, and data science. Her goal is for QTC stakeholders to develop a data literacy culture that can make actionable data-driven business decisions. In her tenure, Salesforce has rapidly grown from a $4B to a $30B+ company. Therefore, automation, continuous learning, and leveraging the right technology have been imperative for her team's success. A big piece of Salesforce’s culture is giving back through the 1-1-1 model. In 2021, Laura joined GlobalMindED on the Board of Directors to advise with technology implementation to scale for the future. GlobalMindED helps close the equity gap by connecting first-generation college students to mentors, internships, and jobs. As a leader in technology and data, Laura is passionate about creating an equitable and inclusive business environment for her team, stakeholders, and the world around her.