In this episode of The Metaverse Podcast, Daniel Svonava, CEO and founder of Superlinked, joins our host Jamie Burke.
The conversation covers essential aspects of Daniel’s journey, the evolution of Superlinked, a startup at the forefront of turning data into vectors.
Listen to a discussion that unlocks the power of data and unveils the potential of vectorization in shaping the future of machine learning and data-driven solutions.
Tune in to:
- Understand Daniel’s background, including his tech leadership at YouTube, and explore how Superlinked evolved from after their time in our accelerator program to a Web3 adjacent startup.
- Uncover the bottleneck in unlocking the true value of data due to the scarcity of skilled machine learning engineers and data scientists.
- Understand the concept of turning data into vectors, akin to points in multi-dimensional space, and how this process becomes the native language of machine learning models.
- Explore the application of vectorization in addressing challenges with open-ended user interactions, such as chatbots, and balancing control and relevance.
- Gain insights into broader industry trends, including the rise of language models like GPT, and the role of vectorization in enhancing machine learning workloads.
- Learn about Superlinked’s position as a computational framework bridging the gap between raw data and vectorized data, simplifying the complex process of creating and managing vectors.
Want to be a guest on The Metaverse Podcast? Get in touch with Laura Stancescu by emailing firstname.lastname@example.org!