Condense by Zeliot

Condense Streams

Condense Streams is your front-row seat to the evolving world of real-time data, AI, and streaming technologies. Each episode dives deep into the trends shaping how modern systems move, process, and act on data, from the rise of Apache Kafka and event-driven architectures to the new wave of intelligent agents and AI-driven automation. Hosted by the team behind Condense, this podcast brings together engineers, architects, designers, and innovators to explore how data streaming is powering the next generation of applications faster, smarter, and more connected than ever.

Koniecznie odwiedź stronę podcastu i wesprzyj twórcę: www.zeliot.in

Autor

Condense by Zeliot

Kategoria

Technology

Strona podcastu

www.zeliot.in

Ostatni odcinek

20 cze 2026

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Odcinki

Why Great Products Still Need Great Partners 20.06.2026

In this episode of Condense Streams, Yash sits down with Akshay from Zeliot to discuss how the company is building its partner ecosystem, how Zeliot identifies the right partners, what value customers get from these collaborations, and what partners can expect when working with the Condense platform. Condense is positioned as a real-time data streaming platform for mobility and IoT use cases, and...

Mobility without the side effects w/ Hanna Cordes, Bosch MPS 19.04.2026

In this episode of Condense Streams, Yash Kulkarni is joined by Hanna Cordes, Global GTM Head at Bosch Mobility Platform and Solutions, to explore how mobility is evolving from hardware-centric systems to software-defined, data-driven ecosystems. They discuss the role of digital orchestration, the rise of AI in solving mobility challenges, and why vertical data streaming is becoming essential for...

Real Time Data Streaming Market - Industry Trends 26.03.2026

Building the future of real-time data starts with understanding the trends shaping it. In this inaugural episode of Condense Streams, Yash talks with Sudeep about: 1. Real-Time streaming: New laws accelerate BYOC/single-tenant for compliance + isolation. 2. Kafka's 40% dominance holds, but Condense evolves to full-stack (beyond brokers). 3. Build vs buy solved via verticalization, industry con...

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