Podcast ¦ Next In Queue: There’s Only One Thing Wrong with this Car featuring Alyona Medelyan

Summary

In this podcast episode, Eilene Melios discusses her journey in the field of AI and machine learning, her founding of Thematic, and the role of AI in understanding customer feedback. She mentions the difference between AI and machine learning, as well as the terms computational linguistics, natural language processing, text analytics, and semantic analysis. Eilene also addresses the underrepresentation of women in AI and the struggles they face, but encourages more women to pursue their dreams in the field. She shares how Thematic started by solving the problem of analyzing Net Promoter Score feedback and the importance of focusing on solving real problems in customer experience. Eilene highlights the benefits of AI in enhancing customer experience, such as autocomplete features and voice recognition technologies.

Key Points

• Machine learning is a method to implement AI algorithms.
• Text analytics involves analyzing text in a business setting, while natural language processing is used in research and academia.
• A language model, like GPT, can make sense of text and generate text.
• There is a lack of women in tech, including AI, but many talented women are making their mark in the field.
• Thematic started by analyzing Net Promoter Score feedback, helping companies understand the drivers of NPS.
• AI has the potential to improve customer experience by providing seamless and positive interactions, such as autocomplete and voice recognition.

Key Statistics

• No key statistics mentioned in the podcast episode.

Key Takeaways

• Machine learning is a popular method used in AI to make sense of data.
• Text analytics and natural language processing are used to analyze and understand text.
• Language models like GPT can detect sentiment, generate text, and provide solutions to various problems.
• The field of AI still lacks representation of women, but there are talented women making their mark in the industry.
• Thematic started by analyzing Net Promoter Score feedback and has evolved to help companies understand customer feedback in various domains.
• AI has the potential to enhance customer experience by offering seamless and efficient interactions.
• Companies should focus on solving specific problems and providing meaningful solutions in customer experience.
• AI technologies like autocomplete and voice recognition improve user interfaces and make interactions more convenient for customers.
• Women in tech should share their stories and inspire others to pursue their dreams in AI and other STEM fields.
• It is essential to understand customer problems and develop AI solutions that address their specific needs.
• Thematic’s journey shows the importance of starting with a problem worth solving and gradually building a solution with real market demand.
• AI continues to evolve rapidly, and it is crucial to stay updated with the latest advancements to utilize its potential in customer experience.