Simplifying Data Analytics with AI: Interview with Marko Klopets of Supersimple
In this episode of “Move 37 Podcast,” host Stephen Walther interviews Marko Klopets, the co-founder and CEO of Supersimple, an innovative AI-driven data analytics platform designed to empower product managers and go-to-market (GTM) teams.
The AI Reliability Paradox
Artificial Intelligence promises to simplify complex tasks—such as analyzing extensive data sets, selecting healthcare plans, or completing taxes—but AI-generated results can sometimes be unreliable. How can businesses trust AI-generated insights without constant human oversight?
Marko Klopets addresses this challenge, emphasizing the importance of keeping humans involved not merely as overseers but as collaborators who understand and interpret AI-driven insights.
About Marko Klopets
Marko Klopets is the CEO and co-founder of Supersimple, a groundbreaking company transforming how product and marketing teams analyze and interpret data. Before Supersimple, Marko co-founded a B2B fintech startup and held key product and engineering roles developing enterprise AI applications.
What is Supersimple?
Supersimple provides an intuitive analytics platform allowing users without extensive technical skills to quickly answer complex data-related questions. Its platform supports two main interaction models:
- Natural Language Interface: Leveraging conversational AI to simplify initial queries.
- No-code User Interface: Allowing iterative exploration and detailed customization by business users.
Supersimple’s core innovation is its “semantic layer,” which standardizes data definitions across companies, improving data consistency and trust.
How Supersimple Enhances Data Reliability
Unlike traditional analytics solutions like Tableau or Microsoft Power BI, Supersimple:
- Utilizes an intermediate abstraction layer, preventing common AI “hallucinations” or inaccuracies.
- Offers clear, explainable steps, improving transparency and user confidence.
- Focuses on answering ad-hoc, iterative questions rapidly, rather than creating static dashboards.
Marko emphasizes that purely conversational interfaces aren’t sufficient for all use cases; practical, structured interfaces are crucial for tasks like iterative data exploration and customization.
The Future of AI in Data Analytics
Marko sees AI as an enabling technology—important but not inherently the main value proposition. He advises tech companies and startups to:
- Focus on solving real-world problems, not just leveraging AI because it’s currently trending.
- Develop sustainable solutions that provide genuine value beyond hype.
Learn More
For more information, visit the official website: Supersimple.io.
Stay tuned for more insightful discussions about AI safety, AI agents, and the ongoing impact of AI on our world. Remember to like, subscribe, and share the Move 37 Podcast Podcast.