Dominik Tomicevic CEO of Memgraph On Building AI With Purpose And Not Just Code

Discover Dialogues

Overview

Can AI actually reason—or is it just mimicking intelligence?

In this episode of Discover Dialogues, Vikramsinh Ghatge, Sr. Marketing Director and Editor In Chief at TechDogs hosts Dominik Tomicevic, the CEO and Co-Founder of Memgraph, to unpack a powerful idea: what if AI systems could reason—not just respond?

Dominik shares his journey from competitive coding and algorithmic problem-solving to building one of the most advanced real-time graph database platforms in the market. What began as a side project to overcome limitations in data streaming and relationship querying became Memgraph—a platform trusted by organizations needing context-aware, lightning-fast, and explainable AI solutions.

The conversation centers on a critical issue in AI development today: most systems are excellent at sounding smart but lack true understanding. Dominik breaks down the limitations of large language models (LLMs) when it comes to multi-step logic, data lineage, and fact-based decision-making—and why graph-based architectures are uniquely equipped to address these gaps.

This conversation dives deep into:

The difference between sounding intelligent and being intelligent
How graph databases like Memgraph offer better structure, traceability, and reasoning
Why traditional AI tools struggle with logic, causality, and multi-step tasks
A powerful 3-point AI evaluation checklist for C-suite leaders
Real-world applications in fraud detection, cybersecurity, supply chains, and beyond
What the future of AI could look like—with graph-powered agents, smarter decision-making, and systems that understand context

Whether you're a developer building with LLMs, a tech leader evaluating AI infrastructure, or simply an AI enthusiast, this episode delivers high-signal insights into the future of explainable AI, graph data modeling, and contextual intelligence.

Tune in to understand how graph thinking is reshaping the way we build smarter, more trustworthy AI systems.

Watch now, subscribe for more founder-led insights, and follow TechDogs for updates.

Fri, Apr 25, 2025

Vikramsinh Ghatge

Senior Director, Marketing And Editor-In-Chief TechDogs

Vikramsinh Ghatge is an accomplished marketing leader with over a decade of experience leading B2B marketing growth, digital consulting, and creative technology initiatives. He has built and scaled high-performance marketing engines across industries like SaaS, industrial automation, AR/VR, and pharma. His expertise lies in aligning storytelling with business strategy, enabling brands to drive meaningful engagement and measurable outcomes. He is the creator of Vik’s M.I.X., a thought leadership newsletter exploring AI-powered marketing, creative strategy, and emerging technology. His work has been featured on TechGloss, TDWI, and Namaste UI. With an MBA in Marketing and an MS in Bioinformatics from the University of Manchester, Vikram combines data fluency with narrative instinct—operating at the intersection of innovation, analytics, and content impact.

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Tags:

Generative AIAI reasoning explainable AI Memgraph graph databases structured intelligence enterprise AI LLM integration real-time data generative AI TechDogs Podcast

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