This Technique Uses AI to Fool Other AIs

  • “Jin and colleagues devised an algorithm called TextFooler capable of deceiving an AI system without changing the meaning of a piece of text. The algorithm uses AI to suggest which words should be converted into synonyms to fool a machine.
  • This caused the algorithm to classify the review as “positive,” instead of “negative.” The demonstration highlights an uncomfortable truth about AI—that it can be both remarkably clever and surprisingly dumb.”

https://www.google.com/amp/s/www.wired.com/story/technique-uses-ai-fool-other-ais/amp

ILLUSTRATION: CASEY CHIN; GETTY IMAGES

How AI in Ecommerce Enables True Personalization: Q&A With Elizabeth Gallagher of Lineate Staff Writer

“What are your top 3 tips for legacy brands who are starting to explore AI/ML in e-commerce marketing? How can marketers integrate AI and ML from inception through to measuring performance?

1) Get informed about what ML can do for marketers and what you need to get started. Like all exciting technologies, there is a lot of noise out there and some over-inflated claims. A dose of realism will help guide you forward.

2) Start small! For example, implement AI-driven upsell recommendations based on the page of one of your more popular products rather than your entire catalog.

3) Define a clear hypothesis about which metrics indicate improvement and how much improvement you expect to see. It’s crucial to follow a scientific method to avoid getting lost in the complexities and possibilities of ML. And, automate collecting the performance data so the results are transparent and easily measurable.

4) Outsource for expertise – it is unrealistic (and time-consuming) to spin up a data science and ML group for these kinds of complex initiatives. When outsourcing or purchasing off the shelf tools, get a proof-of-concept tailored to your use case before committing to long term costs.”

https://www.martechadvisor.com/amp/interviews/ecommerce/elizabeth-gallagher-lineate-ai-in-ecommerce/

A day in the life of… Mark Douthwaite, AI Engineer at Peak

Which marketing or ecommerce has impressed you lately?

I’m particularly proud of our work with Footasylum, a UK-based sportswear retailer,

We created bespoke algorithms that distributed hyper-personalised product recommendations. Our work achieved a 28% uplift in revenue per email sent by Footasylum

In another solution for Footasylum, we achieved a massive 10x higher than industry average return on ad spend (ROAS) across the campaign.”

A day in the life of… Mark Douthwaite, AI Engineer at Peak


How SMEs can emulate the success of Amazon through ecommerce personalisation

“So much so that it was recently reported that they (Amazon) have more than a 30% share of the UK’s ecommerce market.

Here are just a few of the practices of Amazon which can be emulated by SMEs through investment in an ecommerce personalisation platform.

  • Personal references – ‘Hello John’
  • Recently viewed – link to their recent browsing history
  • Intelligent search – predict what products their customers are searching for as soon as a letter is typed
  • Recommenders – recommend other products
  • Product Recommendation Types – bundling recommendations into many different types
  • Cross selling and upselling – suggests additional purchases”

How SMEs can emulate the success of Amazon through ecommerce personalisation

How artificial intelligence and machine learning are revolutionising eCommerce experience?

  • “Algorithms were used to generate creative descriptions of each product via optical character recognition (OCR) and image processing. With this artificial-intelligence (AI)-enabled solution and natural language processing (NLP), automated product descriptions were generated. This reduced the time spent on this task and the retailer was able to reclaim lost online sales worth $6.9 mn, annually.”

How artificial intelligence and machine learning are revolutionising eCommerce experience?