MarTech 2.0: The GenAI Revolution
GenAI in MarTech is the new battleground. Strategic integration is your competitive edge.
As marketing technology evolves from basic automation to intelligent platforms, how you integrate generative AI determines whether you lead or lag in the market. In this session, we reveal how successful MarTech companies are moving beyond AI feature additions to build truly intelligent marketing systems that predict, adapt, and optimize automatically.
This webinar delivers a strategic framework to embed GenAI at the core of your MarTech solutions, build data intelligence layers that turn marketing data into predictive insights, and implement architectural principles that scale - all while maintaining trust and accelerating product development without technical debt.
💡 What you’ll learn
How to strategically embed GenAI into MarTech solutions beyond surface-level features
Why data intelligence layers are essential for predictive marketing capabilities
How to implement architectural principles that scale with your MarTech platform
Best practices for maintaining trust, governance, and responsible AI in marketing technology.
Bottom line: Master strategic GenAI integration for MarTech that delivers real business impact.
About the Speakers
Bhavneet Kaur is a Product Leader with over two decades of experience building B2B SaaS products across Finance, Supply Chain Logistics, Retail CPG, GRC, HR Tech, and AdTech. She has built high-performing teams including PMs, Engineering, AI Data Scientists, and Data Engineers. Currently serving as Vice President of Product, Engineering and AI at Incivus (acquired by C5i.ai), she built an AdTech platform from 0-to-1 and is currently scaling it while defining the path for a new marketing platform within the organization. Bhavneet has consistently taken on high-risk, high-reward opportunities that pushed her into uncomfortable zones of learning new business domains, industries, and technologies while delivering greater business outcomes.
Nikhil Pareek, Founder & CEO of Future AGI, is a serial entrepreneur with over nine years of experience building startups and leading AI-driven innovation across industries like healthcare, IoT, consulting, and finance. He’s passionate about bringing engineering rigor to AI systems and solving core infrastructure challenges in model development and deployment. At Future AGI, he’s focused on helping teams build trustworthy, production-ready AI through automation, evaluation, and observability.
About Future AGI
Future AGI is a San Francisco-based advanced AI Lifecycle Management platform designed to streamline experimentation, evaluation, and real-time observability. Traditional AI tools often rely on guesswork due to gaps in data generation, error analysis, and feedback loops. Future AGI eliminates this uncertainty by automating the data layer with multi-modal evaluations, agent optimisations, observability, and synthetic data tools, cutting AI development time by up to 95%. By removing manual overhead, it brings software engineering rigour to AI, enabling teams to build high-performing, trustworthy systems faster.
🌐 To know more about Future AGI, visit here!
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