Discussions around generative AI are shifting as technologists and business leaders learn more about the potential of the technology. In a Gartner webinar poll of more than 2,500 executives, 38% indicated that customer experience and retention are the primary purpose of their generative AI investments. This was followed by revenue growth (26%), cost optimization (17%) and business continuity (7%).
At present, generative AI is being used in:
Written content augmentation and creation: Producing a “draft” output of text in a desired style and length
Question answering and discovery: Enabling users to locate answers to input, based on data and prompt information
Tone: Text manipulation, to soften language or professionalize text
Summarization: Offering shortened versions of conversations, articles, emails and webpages
Simplification: Breaking down titles, creating outlines and extracting key content
Classification of content for specific use cases: Sorting by sentiment, topic, etc.
Chatbot performance improvement: Bettering “sentity” extraction, whole-conversation sentiment classification and generation of journey flows from general descriptions
Software coding: Code generation, translation, explanation, and verification
Gartner global chief of research, Chris Howard, explores how humans relate to machines and why language itself is the key technology that underpins our evolving relationship to AI. He looks at the promise of generative AI and how we can use it to make better decisions and reach more favourable outcomes.
Click here to watch Howard talk about generative AI for real-world business productivity.
