• 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?

• Is everyone either a “language person” or a “math person”?

• Is language essential for learning math?

• What parts of our brain do we use to learn math vs language?

• 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?

• What are keywords, and why do they matter?

• In what ways are keywords connected to inclusive/hospitality language?

• Where do keywords get their complex meanings from?

• 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 is Gender-Neutral Language?

• How does the historical usage of Singular They impact our understanding of its usage today?

• What does language change tell us about society?

• 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?

Have you always been curious about what Memra is ACTUALLY doing? Read about some of the projects Memra has done in the Insurance/Finance Industry.

Have you always been curious about what Memra is ACTUALLY doing? Read about some of the projects Memra has done in the Biotech Industry.

• What is Standard Male Conversational Style, and how did it become the standard for workplace communication?

• Are there any disadvantages to adopting Standard Male Conversational Style?

• What can gendered language teach us about the need to balance IDENTITY and AGENCY in the workplace?

• Can speech patterns gendered? If so, why and how?

• Are there statistically significant differences between the way that men and women speak? Or is it our own flawed perception that men and women talk differently?

• If these differences are “real”, how is being aware of gendered speech patterns beneficial to us as workers?

Collaboration and cooperation are linguistic tasks.

• How can we define collaborative conversation by their language patterns?

• How do teams fail to collaborate? How do they collaborate successfully?

• What are some strategies to ensure effective collaboration?

• What are some emerging linguistic trends in the workplace, and how do these trends vary by age or position in the company?

• Where does slang come from, how do we interpret different people’s uses of slang depending of age, gender, race, and sexuality?

• What is codeswitching, why do linguists study it, and why is it important to consider in business settings?

• Who codeswitches? Is race the only relevant demographic category for code-switching?

• What is the “freedom from codeswitching” movement, and is it realistic to eliminate codeswitching in business settings?

• What is swearing? Why do humans collectively decide that some words are “bad words”?

• How is swearing interpreted differently based on speaker and context? Where does the workplace fit into all of this?

• How do younger generations impact swearing norms in the workplace?

• 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?