A Reddit user has created a series of AI-generated portraits depicting what the average person looks like in each US state. The portraits feature mostly men who exhibit creative expressions aimed at representing a specific location. Commenters found the images to be relatively accurate, with the stereotypical person in Illinois being depicted as rather ordinary, leading one user to joke that it resembled Waldo.
The seemingly random creative expressions are indicative of a deep learning model like the generative adversarial network used to generate them. The exhibition of the model’s creativity is a byproduct of the dataset used to train it and is not meant to be taken as a reflection of reality. The inspiration for this project is similar to an earlier post on Burner, where a similar machine learning model was trained to generate faces of non-existent human beings.
Customer engagement improves with real-time personalization and good data quality
Twilio’s research on customer engagement indicates that real-time personalization using first-party data leads to higher levels of customer engagement, resulting in improved metrics such as retention, conversion and long-term loyalty. The study also found that companies that integrate and break down silos between sales, support and marketing applications into a unified view of the customer get better results. Twilio recommended that companies focus on activating data in real time and investing in real-time personalization to deliver the best results.
The survey showed that 92% of companies used AI to power personalization to some extent, but poor data quality hindered its successful implementation. The focus should be on delivering relevant recommendations through the desired channel and at the right time. This is consistent with a report by DigitalCommerce, stating that personalized videos can help increase customer engagement and trust.
As reported by eMarketer, personalization has become increasingly important with the rise of eCommerce and social media. Companies should consider personalization but be aware of the potential data privacy risks.
Protecting user data with Private AI and Personal AI
The risks associated with personal individually identifiable information (PII or PID) and language models that automate bias, racism, false information, and malware are not only limited to users. Providers are also responsible for managing data risks, such as data leaks and hacks. Private AI, a Toronto-based company, is addressing this issue by practising data minimisation, redacting, de-identifying, anonymising, and synthetic-ising PII or PID before insertion into databases, cloud-based systems, and language models.
Founder Patricia Thaine believes that individuals should view third parties as data risks and should take responsibility to protect their personal data. Private AI has integrated AI-powered language models to capture context and protect user privacy while authenticating responses.
Personal AI, a New York-based company, is creating a client chatbot model that learns users’ knowledge, communication style, and ‘voice’ and aspires to create the essence of their identity in code to send their avatar out as their agent. Although the company aims to provide a personalized experience, it is critical to consider the potential privacy implications of sending one’s avatar to interact with others.
KylinCloud integrates AI virtual influencers in e-commerce marketing
Antelope Enterprise Holdings has begun incorporating virtual versions of its e-commerce market influencers and promoters on KylinCloud’s platform. At first, the AI technologies will be used to create customized product videos using a single core marketing video with each virtual influencer. Following this initial phase, the company intends to create wholly virtual influencers with a far broader reach due to no language barriers, management costs, or time limitations.
In the competitive world of e-commerce, this strategy is expected to broaden KylinCloud’s offerings at a global level, giving it an advantage over other providers and providing low-cost, high-performance promotional solutions.
In conclusion, companies looking to improve customer engagement should focus on real-time personalization using good-quality first-party data. Customers should also be aware of the potential privacy implications of personalized services offered by providers. Finally, the incorporation of virtual influencers using AI technologies is expected to become increasingly popular in the world of e-commerce.
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