In this technical demonstration, we showcase the World's first personality-driven marketing content generation platform, called SoMin. ai. The platform combines deep multi-view personality profiling framework and style generative adversarial networks facilitating the automatic creation of content that appeals to different human personality types. The platform can be used for enhancement of the social networking user experience as well as for content marketing routines. Guided by the MBTI personality type, automatically derived from a user social network content, SoMin. ai generates new social media content based on the preferences of other users with a similar personality type aiming at enhancing the user experience on social networking venues as well diversifying the efforts of marketers when crafting new content for digital marketing campaigns.
Human personality traits are the key drivers behind our decision-making, influencing our life path on a daily basis. Inference of personality traits, such as Myers-Briggs Personality Type, as well as an understanding of dependencies between personality traits and users' behavior on various social media platforms is of crucial importance to modern research and industry applications. The emergence of diverse and cross-purpose social media avenues makes it possible to perform user personality profiling automatically and efficiently based on data represented across multiple data modalities. However, the research efforts on personality profiling from multi-source multi-modal social media data are relatively sparse, and the level of impact of different social network data on machine learning performance has yet to be comprehensively evaluated.
The technological revolution marked by the shift from using a mouse and keyboard to touch screens has transformed our interaction with devices. In this rapidly evolving landscape, humans communicating with familiar applications using natural language has emerged as the most intuitive and effortless solution to bridge the gap between humans and machines, making life easier for customers and expanding the market. OpenAI, a trailblazer in AI development and advocacy, has ventured into the realm of venture capitalism through its subsidiary, the OpenAI Startup Fund, dispersing substantial investments to four promising DeepTech startups: Descript, Harvey, Mem, and Speak. Three of these companies harness the power of large language models (LLMs) to revolutionize human-machine interaction, raising the question: Why were these particular startups selected out of thousands of companies worldwide?
The technological revolution marked by the shift from using a mouse and keyboard to touch screens has transformed our interaction with devices. In this rapidly evolving landscape, humans communicating with familiar applications using natural language has emerged as the most intuitive and effortless solution to bridge the gap between humans and machines, making life easier for customers and expanding the market. OpenAI, a trailblazer in AI development and advocacy, has ventured into the realm of venture capitalism through its subsidiary, the OpenAI Startup Fund, dispersing substantial investments to four promising DeepTech startups: Descript, Harvey, Mem, and Speak. Three of these companies harness the power of large language models (LLMs) to revolutionize human-machine interaction, raising the question: Why were these particular startups selected out of thousands of companies worldwide?
As technology continues to evolve and become more integrated into our daily lives—and as the internet and social media have opened up new ways for consumers to publicly voice their opinions on products—the user experience has become a critical factor in the success of any tech product. Companies are now focusing on providing seamless and intuitive experiences that cater to their users’ needs and preferences.
This growing emphasis on UX has led to new trends expected to become table stakes in the next five years. Below, 16 Forbes Technology Council members explore some of the upcoming UX trends that will be crucial for the success of tech products and why they will be so important.