“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?

• 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 can we tell whether a sentence was written by AI or a person?

• Does it matter whether an email was written from a unique, creative human brain, or simple formed by data scraped off the web?

• How can we understand our creative ability to write and speak as being separate from what a machine can do? 

• What are “demographics”, what is the connection between language and demographics, and why is this important to consider in the workplace?

• What do linguists know about how individual interpretation of different speech patterns impacts our perception of demographic categories?