Gartner: Exploring the short- and mid-term implications of ChatGPT | Computer Weekly
Summary
Its advanced capabilities in natural language processing and machine learning (ML) have already made it a valuable tool for various industries, from finance and healthcare to education and entertainment. In the coming year, it’s expected that there will be further rapid progress in the development of ChatGPT and similar solutions, as well as the emergence of complementary technologies. As a result, data and analytics practitioners should ensure that any confidential or proprietary material is properly handled by the LLM service provider. Data and analytics practitioners should take the lead in informing the risk and compliance policies related to using generative AI tools and act as subject matter experts when educating business stakeholders. In a guest blogpost, Neo4j’s Alyson Welch explains why Large Language Model AI systems can’t move beyond non-trivial applications until they are properly curated.