Kostas Pardalis

Kostas Pardalis and Yoni Michael, co-founders of Typedef, dive into the transformative power of AI and data in today’s business landscape. They discuss how LLMs are revolutionizing data pipelines and the vital role of AI Reliability Engineers in ensuring system stability. The duo emphasizes the need for robust infrastructure and collaboration between engineers and domain experts to tackle integration challenges. They also explore the evolving dynamics of AI in customer support and the importance of community in driving innovation in technology.

Kostas Pardalis and Yoni Michael, co-founders of Typedef, discuss their journey from major data infrastructure firms to creating solutions for unstructured data. They reveal how traditional systems like Spark fail under current AI demands and introduce Fennec, a tailored DataFrame library for LLMs. Insights on optimizing agentic systems and early go-to-market strategies add depth to their conversation. They also ponder the future of AI in data workflows and critique the explosion of benchmarks in the industry.

Kostas Pardalis, an experienced data infrastructure engineer and founder of typedef, discusses his journey through data innovation. He explains how AI is transforming data workflows, condensing years of change into mere months. Kostas dives into the polarized reactions to AI's rise and reframes success in AI as exploratory rather than guaranteed. He highlights the limitations of AI copilots and the importance of reliable data systems. Finally, he shares insights on typedef, a platform that integrates LLM inference as a core component of data processes.

Kostas Pardalis, Co-Founder of typedef and seasoned data infrastructure expert, shares fascinating insights on the rapid evolution of AI in business. He discusses the hype vs. reality of AI, emphasizing practical innovation and the importance of making AI seamless in user experiences. Kostas dives into the challenges of integrating large language models into workflows and the necessity for robust data infrastructure. He highlights how AI can boost productivity without displacing jobs, showcasing a future where technology empowers rather than disrupts.

Kostas Paralis, co-founder of Typedef, introduces Fenic, an innovative open-source framework for AI-driven data processing. He unpacks how Fenic treats inference as a key operation, transforming unstructured data management, and optimizing data pipelines. The conversation dives into the evolution of data technologies, the challenges of integrating structured and unstructured data, and the revolutionary potential of large language models. Kostas also discusses the importance of open file formats and practical use cases in cybersecurity and healthcare, enhancing operational efficiency.