Beyond the Bit Episode 01 Why Cloud AI Is No Longer Enough
Ambient Scientific introduces Beyond the Bit, a new podcast series created to move past AI buzzwords and explore what it actually takes to deploy intelligence in the real world.
In the inaugural episode, Saharsh Singhania sits down with Pete Bernard of the Edge AI Foundation to discuss why AI cannot remain entirely dependent on centralized cloud infrastructure and what changes as intelligence moves closer to where data is generated. LinkedIn
Moving AI from the Cloud to the Real World
The conversation explores the practical forces driving edge AI adoption, including latency, power consumption, connectivity, economics, and real-world reliability.
Pete and Saharsh also discuss why hardware architecture matters as AI workloads diversify, the importance of high-quality datasets, and why industry standardisation will be critical to deploying edge AI at scale. The episode looks beyond theoretical performance metrics to consider what actually determines whether an AI system succeeds outside the lab. LinkedIn
From healthcare and industrial systems to connected devices and other operational environments, the discussion highlights why the edge is becoming an increasingly important part of the AI computing landscape.
Beyond the Bit continues this conversation by bringing together industry leaders and builders working across AI hardware, semiconductors, software, and real-world deployment.
Watch Episode 01 on YouTube:
