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Choosing the Right Generative AI Tool for Your Company

Evaluating which generative AI tools are right for your company isn't easy. To help with that process, Trust Insights' CEO and co-founder Katie Robbert, and co-founder/Chief Data Scientist Christopher Penn, have created a two-by-two matrix for executives. This matrix helps decision-makers prioritize which tools to add and how to implement them. It allows organizations to compare tools that optimize against tools that innovate. The two-by-two matrix also separates tools used internally versus public-facing processes.

Organizations are at different stages of digital maturity and use AI for different functions. Knowing this, decision-makers can prioritize which tools to add and how to implement them. To help identify potential use cases for your organization, there are six main generative AI categories: Generation, Extraction, Summarization, Rewriting, Classification and Answering Questions.

Generation is creating text and images for blog posts, emails and other digital media. Extraction gets data out of a document or other data source without having a human read over it line-by-line. Summarization takes a large document or transcript and asks the AI to summarize for key points. Rewriting takes an existing document or other piece of content and asks genAI to take the information and reframe it in another style, for another purpose. Classification identifies blocks of text and classifies them. Answering questions is asking the AI about a document it has ingested.

Once these cases are graphed on the two-by-two matrix, organizations can identify the ones that will address urgent needs. Knowing the categories will help decision-makers identify what use cases their organisation can benefit from, and where to start in their search for adopting a new tool.

Originally reported by Martech: https://martech.org/how-to-decide-which-generative-ai-tools-fit-your-organization/
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