November 12th, 2020 | 3pm GMT, 11am EDT
Despite all the hype around chatbots, strong business cases remain limited when compared to the number of chatbots created.
Spoon Guru is a smart search tool that finds foods and recipes to match your unique dietary needs.
The overhype of artificial intelligence seems to have died down, replaced with a new clarity regarding its real potential.
AI, more often machine learning, is now being widely adopted rather than merely talked about.
It’s no secret that AI and machine learning is topical right now in the PPC world with several large agencies bringing out their own AI and machine learning tools, with some even promising that they outperform humans.
In fact it is becoming commonplace for agencies to claim that they are driven by AI, but in reality this is very often not the case.
Language isn’t an exact science. Often, there is no “perfect” answer.
While much is logical, many elements are harder to explain, untethered as they are to any fixed set of rules. For instance, when is a thought expressed with an indicative vs a subjunctive mood? When to use polite vs casual phrasing in languages such as Korean or Japanese? How to articulate an expression that doesn’t exist in a target language?
84% of marketing organisations are using machine learning, according to industry sources.
One of the most notable areas where machine learning is burgeoning and delivering fast-paced impact is improving conversion – and it’s easy to see why, considering the value machine learning can add to the performance optimisation process.
Despite the fact that more money than ever is being invested in digital advertising, being an ad-supported digital publisher is not easy. And that isn’t just because of ad blockers, ad fraud and the countless number of providers, technologies and formats in the ecosystem.
Indeed, even seemingly basic activities such as determining how many ads to display, and which types of ads to display, usually aren’t straightforward and the wrong assumptions and decisions can result in significant lost revenues.
‘An automated world is coming!’ the headlines inform us. It’s a daunting prospect. Technology develops apace, and the path of automation seems to lead inexorably towards humans being replaced by machines.
There are clear use cases for machine learning-powered image recognition in ecommerce – namely visual search, product tagging and content curation.
Fashwell is a company that provides such technology, so I asked a few questions of CEO and co-founder Matthias Dantone.
Machine learning is having a big impact on fashion retail.
We recently caught up with senior data scientist Joe Berry at retail tech company Edited and asked him about trends in this area, as well as how the Edited product uses machine learning to help set retail strategy.