Laetitia Cailleteau shares all about what Accenture is doing in voice AI and about its hyper-personalised voice AI patent.
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Hyper-personalised voice AI
The promise of voice assistants is that they become our personal assistants. This means mine should be different to yours, responding to our individual behaviour, habits and preferences.
And while Alexa and Google Assistant offer ways of personalising the way your voice assistant interacts with you – for example, by changing the voice of Google Assistant or putting Alexa on brief mode – they both don’t do much iterative personalisation as far as what they do for you.
There are different levels of personalisation that voice assistants can have. They can adjust how they interact with you, as above. They can allow you to tell them to behave in specific ways, unique to you. For example, configuring your own routines, choosing your preferred news provider or registering different smart home products.
The third way is that they could adjust their behaviour based on yours, and respond to what it learns about you, iteratively over time. This is where the primary voice assistants today fail. Everything they do relies on specific instruction from the user.
Accessibility
The other promise of voice AI is that it levels the playing field for everybody as far as access to technology and services is concerned. Whether that’s for the elderly, the physically impaired and even those with non-typical speech, voice assistants promise equal access.
Hyper-personalised voice AI patent
Those two things combined, improving accessibility and offering truly personalised services to those who need it, was the foundations for the Hyper-personalised voice AI patent granted to Accenture recently.
In this episode
In this episode, we speak to Laetitia Cailleteau, Managing Director | DATA & AI Europe Lead | Global Lead for Conversational AI at Accenture, about the origins of the patent, the problem it solves, the value of personalised voice experiences and more about what Accenture is up to in AI, and how its thinking about conversational AI’s potential to transfer customer experience.
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