Antonio Grasso joins us to explain how he empowers some of the biggest companies in the world to use AI in a meaningful way and explains the two ways his company goes about this. You’ll hear about what Antonio believes is coming down the pipeline in terms of the Internet of Things, especially when it comes to edge computing, and why network traffic has become a huge concern. We discuss where edge computing begins and ends with regards to the difference between the device and its computational resources. In light of the fact that one can infer at the edge but not train at the edge, Antonio shares his views on why he disagrees that the ultimate goal should be to train at the edge. He also provides a helpful resource for AI practitioners to calculate an AI readiness index.
Key Points From This Episode:
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Tweetables:“‘Wow, this is really unbelievable! We can also create not code software with direct explicit instruction, we can also code software that learns from experience!’ That really me and I fell in love with this kind of technology.” — @antgrasso “I started on Social Media to share my knowledge, my experience, because I think you must share what you see because everyone can benefit of it too.” — @antgrasso “We need to shift to better understand what is the meaning of edge computing but we must divide the device itself from the computational resources that we put to harness the power of computational power in proximity.” — @antgrasso “I can not imagine training at the edge. — We can do it, yes, but my question is why?” — @antgrasso Links Mentioned in Today’s Episode:Antonio GrassoDigital Business Innovation SrlAI Singapore (AIRI Assessment)Antonio Grasso on TwitterHow AI Happens
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