Generative AI - The Basics for Content

Like many, until recently, I had a limited understanding of generative Artificial Intelligence (AI). I understood basic concepts, but even those I did not fully grok. Two years ago, I decided to educate myself more about this area. Today, I want to help others in my industry understand how AI will impact us and what it means for business. On my latest Podcast, I sat down with two experts who work with generative AI, Megan Gilhooly and Rob Sylvester from Reltio.

I began by asking them to define the core concepts:

"People often interchangeably use the terms Artificial Intelligence and Machine Learning…they are different." – Rob Sylvester

What is generative AI?

"There's two major kinds of machine learning out there: One is a generative model, and one is discriminating." Rob Sylvester

We also answered what natural language processing (NLP) is:

"Anytime a computer is doing anything with text data or language data…all that umbrella term boils up into NLP…anything about those computational linguistics." Rob Sylvester

And how about large language models (LLM's)?

"Fundamentally, all it is, just a model that tries to learn which words appear around other words…" Rob Sylvester

Where does deep learning fit into the picture? "a tool within machine learning…what it means is a machine learning model that is built using deep neural networks…" Rob Sylvester

Of course, we provide more detail around these definitions with actual examples before turning to the impact of generative AI on the business and customer.

Why is this important? "This isn't Amazon, we are not that big of company," Megan Gilhooly explains when explaining how Reltio leverages generative AI.

But how do you start? "Ask: What are you using this AI for...Bring the right people to the table…think through the user flow…come up with a purpose for your AI…keep it slim at first…find one use case." Megan Gilhooly.

Where do you start?

"We started with our doc portal…[because it] answers questions that customers have, so it was a natural starting point." Megan Gilhooly.

After clarifying the basics, we discuss pitfalls to avoid while using AI and specific realistic and actionable use cases.

You can view or listen to it here:

YouTube: https://ow.ly/H3kZ50Ruc45

All Other Platforms (Spotify, Apple, etc.): https://ow.ly/5AjJ50Ruc4a

For further reading, I recommend the following:

Accenture: A new era of generative AI for everyone: The technology underpinning ChatGPT will transform work and reinvent business: https://bit.ly/44vRlLy

Accenture: The Artificial Intelligence Glossary: https://bit.ly/4acJZxE

David Baum: Generative AI and LLMs For Dummies®, Snowflake Special Edition: https://bit.ly/3WuKQqi

McKinsey & Company: Four essential questions for boards to ask about generative AI: (Written by: Frithjof Norman Lund, Dana Maor, Nina Spielmann, Alexander Sukharevsky): https://bit.ly/3UyHsIA

Gartner: Emerging Tech: Primary Impact of Generative AI on Business Use Cases (Written by: Annette Jump, Anthony J. Bradley, Eric Goodness, Radu Miclaus ): https://bit.ly/4bsVuCo

Snowflake: DATA + AI PREDICTIONS 2024: How generative AI is radically reshaping data science, cybersecurity, applications—and every organization's business strategy: https://bit.ly/3y5EVOh

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