• How has data science and linguistic changed the film industry?

• Do streaming shows have their own “dialogue”?

• Is language optimization in film worth the cost of linguistic diversity and creativity?

• Do words reveal out inner world?

• Can how we talk (structure) tells us more about our mental state than what we say (content)?

• Can language analysis predict clinical depression before we even realized we’re depressed?

• To what extent is it ethical to leverage AI to help identify early signs of depression?

• Why do we give things/people nicknames?

• What does a nickname do to a relationship?

• How do brand nicknames impact sales?

• What are the benefits of AI technology in mental health treatment?

• What are the dangers?

• How can we understand the differences between human responses to mental health red-flags and machine responses?

• Why do some languages have words for things while others do not?

• Does it matter that English doesn’t have words to express certain ideas?

• Are there certain ideas or experiences for which “there are no words”?

• Why do people gesture when they speak?

• Is gesture universal across languages?

• When should I leverage gesture in a conversation?

• How do words become pejorative/problematic?

• Does changing a word actually change how we feel about the thing the word represents?

• What is the Euphemism Cycle, and is there a way to break it?

• How do the different varieties of American English impact remote-first work?

• What do I need to know about dialects in the USA?

• Is it rude to acknowledge someone’s dialect at work?

“It wasn’t just the challenging gameplay that drew me in, but the richness of the narrative experience, driven by language, tone, and subtext. It made me think: what if the game could understand me, too? This is where language analytics is beginning to shift the future of gaming.”

• What are the true risks of mass LLM (Large Language Model) use?

• Is AI really after our jobs…or actually after our souls?

• What is language really FOR?

• What is Natural Language Processing (NLP)?

• How and why do business leverage NLP for analytics?

• What are the limitations of NLP? How can linguistics fill the gap?

• Does it matter that language changes?

• Why does the older generation tend to worry that English is falling apart?

• What is phatic language?

• How do businesses use analytics to stay on top of evolving internet culture and language?

• Does the internet speak its own language? If so, what is it?

• In what ways is internet culture indexed in internet language?

Language Does More: Dialect Analytics for Marketing Strategy

• What are regional dialects and how do they influence individual perception?

• What are some tools brands can use to navigate the marketing complexities of regional dialects?

• In what ways do language change and linguistic context pose challenges to many Natural Language Processing strategies for marketers?

• How linguistically diverse is the U.S., really?

• Why does the U.S. have such a strange relationship with multilingualism compared to the rest of the world?

• How can we re-define what constitutes “professional” language to better take advantage of linguistic diversity?