What is Generative AI?
Generative AI is a branch of machine learning models able to generate data similar to the data on which they were trained.
It is typically used in creative settings (e.g. for artwork, music or writing) but also in other areas (e.g. computer programming).
The expansion of generative AI is fueled by powerful foundational models such as ChatGPT, DALL-E and Midjourney.
Questions for data-driven business leaders
As generative technology is becoming more mainstream, leaders that look to use it need to be able to identify and capture the potential while also addressing important ethical and compliance-related considerations.
This includes answering questions such as:
- In which areas of our organization would it be valuable and suitable to apply Gen AI?
- What is the business potential of doing so?
- What is our plan for capturing the value?
- How to manage ethics-, data privacy-, security- and compliance-related considerations?
- How to prepare your people for an AI-driven future?
Plan for getting started with Generative AI
More on Generative AI
The CMO’s Guide to Generative AI: Why You Should Care
As a Chief Marketing Officer (CMO), you may have heard of generative AI and its potential benefits, but you may not fully understand what it is and why it matters for your marketing strategy. In this blog post, we will explore the concept of generative AI and explain why you likely should care about it.
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Catapult your Marketing Productivity with Generative AI: A Step-by-Step Plan
Creating a plan for leveraging generative AI can seem like a daunting task, given the vast array of AI solutions available and the rapid pace of technological development. As an executive, it is important to have a good understanding of the options and to develop a solid plan. Fortunately, Avaus has some proven best practices that can help. By identifying the potential, prioritizing use cases, and planning for systematic execution, you can make the most of this powerful technology.