In Episode 32 of my weekly update, I’m sharing stories and insights about Tesla’s self-driving car computer and its two AI brains, an overview of conversational AI, and a reckoning from NVIDIA’s CEO about AI’s spread into all industries.
As self-driving tech continues to become more ubiquitous, it’s easy to lose sight of the underlying exponential technologies driving a most monumental industry shift. For Tesla, the ‘brains’ of its most prized differentiator rests in 6 billion transistors making up the processing circuitry of each of their AI chips. These chips, which perform 36 trillion operations per second, are helping Tesla distance themselves from competitors as they aim for full-self driving capacity, even on local streets. This is an important moment to realize two key things: 1) intersecting exponential technologies inexhaustibly progress innovation, and it is only our imaginations that will keep us from understanding the trajectories of future impact, and 2) as full self-driving becomes reality, consider the follow-on impacts on other traditional industries such as insurance, hotel, and entertainment.
Financial services, retail, and healthcare – a small sampling of industries that are evolving as a result of progress in conversational AI. This technology is being most actively used for intelligent voice assistants to grasp context, better capture nuance, and respond intelligently to humans. Industry leaders note that in less than two years an estimated 50% of searches will take place via voice, and by 2023 roughly 8 billion digital voice assistants will be in use, completely remodelling relationships between companies and customers. Interestingly, Facebook has been making strides in this area as well through what is called Natural Language Inference. This permits models to be trained with the aim of improving specificity, empathy, and knowledge recall. Consider the radical shifts taking place in customer engagement and interaction, both inbound and outbound, as a result of conversational AI.
From stories and insights I’ve shared over the past 31 Episodes, it’s clear that I have been making a critical effort to help you understand and contextualize just how big of a deal artificial intelligence is as a set of disruptive technologies, and the importance of thinking about its impact to your industry. ‘On-the-ground realities’ combined with expert observations and stats are showing us just how extensively key industries that impact our daily lives such as health, transportation, agriculture, banking, education and energy are being transformed across every strata, with never-before-seen industries being created almost daily. Whether it’s Gartner’s 2019 CIO Survey showing AI implementation grew 270% in the past 4 years, McKinsey’s estimates that AI could raise global GDP by close to $13T in the next decade, or a host of other key findings – one thing is for certain, AI considerations should be informing your paradigms.