A selection of smart devices. Their natural language understanding capabilities are improving all the time. But how?
A selection of smart devices. Their natural language understanding capabilities are improving all the time. But how?
The natural language understanding capabilities of smart devices are improving all the time. But how? Image: Maria Alberto, Pixabay

One of the most remarkable things I learned during my studies in Computational Linguistics was that we still don’t know how language is processed in the brain. We know that an average human has around 80,000 words in their vocabulary, and that somehow, when we speak, our brains are able to form ideas, crawl through that vocabulary to find the right words, string them together, and express them. When we listen, we must decode an incoming audio signal into words, and search our own mental lexicons in order to extract meaning from them. And all of this at breathtaking speed.

It’s easy to rationalise this wonder by saying ‘well, our brains are simply the most advanced computational structures in our known universe’. But what about ‘machines’? Have you ever wondered how the invisible ‘persona’ in your mobile phone or smart speaker manages to understand and accomplish tasks for you? …


Stock photo of a woman’s face covered in colourful paint.
Stock photo of a woman’s face covered in colourful paint.
This post is adapted from a presentation I gave on behalf of Women in AI and Brainster. Image: pixaby.

In my last post, I introduced one of the biggest trends in AI-driven marketing: personalisation. I recommend you check out the full post, but in a nutshell:

marketers have always tried to segment customer types and determine what messaging they would prefer, but in the past, the segmentation was coarse and the personalisation options were only available through simple, hand-written rules. But today’s consumers expect personalised messaging with every brand interaction, and luckily, thanks to masses of data, big data techniques, and AI, marketers can deliver it.

In this post, I’ll show you just how the marketing playbook is being rewritten, using real-world examples from both tech giants and innovative startups*. …


Stock photo of a woman’s face covered in colourful paint.
Stock photo of a woman’s face covered in colourful paint.
This post is adapted from a presentation I gave on behalf of Women in AI and Brainster. Image: pixaby.

Across the entire customer journey, AI is helping marketers provide more assistive, enjoyable experiences for shoppers and improving performance with it: from one-to-one messaging that doesn’t sound like spam, to dynamic website design that adapts to individual users, and even retail stores that recognise and welcome their visitors.

In part two of this series, I’ll show you what this looks like ‘in the wild’, with fun, innovative examples from real companies, both large and small. …

About

Katherine Munro

Data Scientist. Computational Linguist. Education Lead Women in AI Upper Austria. Sharing interesting resources on AI and our future with it.

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