The terms ‘Physical AI’ and to a lesser extent ‘AIoT’ have entered the lexicon of the Internet of Things, reflecting the fact that the traditional sensing and actuating capabilities of IoT will increasingly be supplemented by AI and adapted to reflect its demands. This takes several forms: AI as a driver of demand for more operational data, AI embedded on IoT devices to enhance performance, and AI as a mechanism for optimising IoT. All promise to stimulate significant changes in IoT adoption and change how it is delivered and supported.
In this fireside chat webinar, Transforma Insights and Aeris will examine topics related to how the growth of Physical AI will have implications for how enterprises should rethink their IoT connectivity needs, including the following:
Terminology – Unpicking the terms of “Physical AI”, “AIoT”, “redaction at the edge” and other key new parameters for how AI is being integrated into IoT deployments.
What does the opportunity look like? – How will enterprises benefit from greater integration of AI into their IoT applications, for instance in enabling new use cases or making applications more efficient, and how does this vary by application?
How does the advent of more AI integrated with IoT change the commercial models for IoT deployments? – What happens to product development lifecycles, charging models, customer relationships, and other considerations?
What are the implications of more distributed intelligence and how it is managed? – The architecture of IoT deployments will change with the ability to place more intelligence on the edge device, including particularly the need for functionality to manage distributed AI models.
What does this mean for connectivity? – Increasing redaction at the edge has implications for approaches to connecting devices and the capabilities demanded of the network, e.g. in latency or data localisation. Similarly AI demands greater reliability and resilience of connectivity.
How does the network need to adapt to reflect the needs of AI? – What are the optimum approaches for providing a network that is tailored to the growing need to support AI?
What are the implications for other aspects of IoT deployments – The changes to the enriching of IoT deployments with AI have implications for diverse other areas such as security and compliance.
We webinar will take place at 08.00 Pacific / 11.00 Eastern / 16.00 UK / 17.00 Central Europe
