AI and machine learning have changed how people communicate, learn, create, and consume content. With AI entering more and more facets of everyday life, some worry about losing the human element; however, experts in the field of AI are working to not only make AI work for you but also to use it to connect people better than ever before.
Jin Tang is a software engineer whose work has informed how AI functions in today's internet. With her extensive knowledge and background in machine learning, Tang has helped create AI-driven tools that have transformed the world's digital content, improving user and creator experience along the way.
Jin Tang's interest in tech was initially inspired by her father, who taught himself software development. Watching her father work exposed her to a world full of potential for creativity.
Tang started her tech journey by interning at a leading tech company in China, where she worked on their smartphone assistant product (similar to Siri) and saw that AI could transform how digital content works for its users.
Observing the digital assistant's capabilities, she realized her work was more than a fun and convenient product; it had the potential to help people with disabilities by better enabling them to connect with others through their smartphone assistant. For drivers, it could make navigation safer. It could even help children by serving as a portal to learning more about the world around them.
Inspired by these revelations, Tang embarked on a more extensive journey in tech to build products that really benefit people.
Tang attended Boston University, where she immersed herself in Mathematics and Computer Science. Ever curious about the possibilities of new technologies, she continued her education at Yale University and earned her master's degree.
After graduating, Tang was hired at a major tech conglomerate, where her skills were used in developing new technologies that could reshape how people use social media and produce digital content.
Jin Tang has used AI to transform digital content by focusing on engagement. When she began her work in AI for social media, she focused on improving the user experience. The key to this proved to be personalization. Machine learning was also crucial for producing digital content tailored to each individual's preferences.
Tang’s development of an interest-based, machine learning-driven feed significantly increased user engagement, leading to a feed session time increase of 1.3%. This demonstrated that AI resonated with users when applied in this format; rather than alienating users, the personalized spaces that AI could create made a better online experience.
Jin Tang's work focused not only on those who consume content but also on those who create it. She found that AI and machine learning could positively transform the content creator experience.
Initially, Tang needed help to identify features that would suit creators. She saw that creators have distinct needs as opposed to the users that followed their content. Through extensive research and close collaboration with experts, she developed machine learning tools that could empower digital creators.
These tools focused on allowing creators to understand their audience better and produce content that would draw in more significant numbers.
Tang built a personalized feed for influencers. The AI-powered tool led to a 10% increase in followers and a 2.2% increase in feed session time. Through machine learning, creators could more effectively connect with their audience and grow their digital presence.
Beyond users and content creators, AI and machine learning tools can be scaled up to assist businesses and digital marketers. Analyzing data and personalizing strategies for success allows for marketing that reaches broader audiences, potentially transforming how companies operate.
Jin Tang's development of professional tools for small businesses has helped empower 6 million entrepreneurs to understand and improve their marketing performance.
During the pandemic, many small businesses saw their sales plummet. AI-driven strategies helped business owners to adapt and find new strategies for survival. Staying ahead of trends is essential in a digital marketplace that continues to grow and evolve. AI-driven tools can help businesses remain adaptable and competitive.
Jin Tang believes that the future of digital content lies in its ability to adapt to users' interests. Driven by ongoing advancements in AI and machine learning, technology has changed the way the world functions.
As these technologies continue to develop, they have the potential to unlock better user experiences through more personalized and engaging content. With AI, social media can grow more responsive to its users' interests, creating a more dynamic experience.
Through her work in AI, Jin Tang hopes to continue the trend of better online experiences with personalization and user-focused content. She is also committed to further integrating generative AI into digital products.
Tang has also empowered future innovators in tech. She has mentored four interns, using her personalized approach to tailor their projects to their interests and skills. This mentorship helped them sharpen their tech skills and deepen their understanding of the industry.As a result, Tang proudly saw all her mentees receive return offers after completing their internships.
Jin Tang's expertise and work in the tech industry have demonstrated how AI and machine learning can transform today's digital content.
By better connecting people to the world through their smartphones, creating more personalized, user-driven spaces, empowering content creators with tools that help them better understand their audiences, assisting businesses with their market performance, and developing social media experiences that are more responsive to users' interests, these new tools have paved the way for a better world through technology.
Those wishing to see more of Jin Tang's work can follow her