You don’t need to be a software engineer, a data scientist, or a geek to understand gen AI or speak with authority about it with technical people. But business leaders should be able to think about AI holistically. Including benefits and risks, where it fits into the company’s culture, and mission. As well as what type of governance and infrastructure it requires. What Generative AI Terms Do I Need to Understand to participate in the conversation?
Thank you for reading this post, don't forget to subscribe!Business leaders can’t help lead AI programs to success if they can’t engage with the tech teams.
We’ve put together a list of the most essential AI terms that will help everyone in your company — no matter their technical background – understand the power of generative AI. Each term is defined based on how it impacts both your customers and your team, a crucial element in understanding the power of AI.
Gen AI technologies (and adoption) are growing extraordinarily fast. As it informs more business decisions and transforms your relationships with customers, leaders at all levels must understand its potential, its use cases, and its risks. How do you do that? Start by asking the right questions about AI.
Salesforce’s most recent survey on generative AI use among the general population within the U.S., UK, Australia and India found the public is split between users and non-users. Within each country, the online populations surveyed reported the below usage (note: cultural bias may impact results):
- 73% of the Indian population surveyed is using generative AI.
- 49% of the Australian population surveyed is using generative AI.
- 45% of the US population surveyed is using generative AI.
- 29% of the UK population surveyed is using generative AI.