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Akansha
Aggarwal
SVP, Commercial Growth & Customer Solutions
Uber
Akansha is a cross-functional team leader with over 15 years of experience, and she is deeply passionate about building, scaling, and leading teams that accelerate revenue growth and customer acquisition. Her enthusiasm for technology is evident in her ability to solve complex problems within sales, finance, and business strategy. Akansha has worked in renowned global tech corporations like Google and Facebook, as well as in startups within the HealthTech and SaaS sectors. Specializing in building and leading cross-functional teams, Akansha excels in driving revenue growth, sales talent development, and commercial excellence and execution. She has successfully navigated large, highly-matrixed organizations and startup teams as they scale. Akansha's expertise extends beyond her role as a team leader. She is also a career and life coach, focusing on helping organizations and executives lead more neurodiverse teams in the workplace. Additionally, she provides support for working parents to thrive in their careers while embracing the unique needs of a neurodiverse family. Her coaching practice is dedicated to fostering fulfillment both professionally and personally.
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22 September 2026 14:30 - 15:15
Panel: What earns a bigger AI budget?
Over the last two years, GTM teams have experimented with countless AI tools, copilots, agents, and workflows. As organizations move beyond experimentation, the challenge is no longer identifying AI opportunities - it's deciding which initiatives are delivering enough value to justify further investment. This panel brings together leaders who have successfully moved AI from pilot to production to discuss how they're measuring impact, evaluating ROI, prioritizing resources, and determining what becomes part of the GTM operating model. Expect practical lessons on what gets scaled, what gets abandoned, and what separates successful AI initiatives from the rest. You'll walk away with: - How leading GTM teams decide which AI initiatives deserve further investment - The metrics and signals organizations are using to measure AI impact and ROI - Common reasons AI projects fail to scale - and how to avoid them - Lessons learned from teams that have successfully moved AI into production and operationalized it across GTM teams and workflows