Today, at the Alteryx Inspire conference, Alteryx announced the release of AiDIN- a part of their cloud platform suite. This new feature from LLM powered capabilities was created specifically to help businesses to get the most out of their data by obtaining actionable insights. This marks the company’s entry into the world of generative AI, with other data ecosystem players having already implemented generative AI capabilities for different purposes.
AiDIN has three features particularly directed at enterprise users: Magic Documents, Workflow Summary and an OpenAI connector. Magic Document, an Auto Insights enhancement, will automate the process of summarizing analytical insights in order to save time and focus on creating data-driven decisions.
Workflow Summary, on the other hand, was developed to efficiently condense complex Alteryx workflows into plain language summaries for purposes of auditability and governance. ChatGPT is used to summarize each logic step, as well as all associated metadata.
The third feature is the OpenAI connector, which allows teams to incorporate generative AI into their data and analytics workflows- including labeling customer calls according to product and sentiment or localizing audit logs into any language.
Alteryx is a company that specializes in Machine Learning and Analytics. They provide services that are data-driven with a focus on machine learning. Founded in 1997, the company offers a wide range of products designed to meet customer needs.
Asa Whillock, VP and general manager for Alteryx Machine Learning, spoke about the new announcements and the advancement of Magic Documents. According to Whillock, the powerful API call enabled users to swiftly synthesize their data and focus on understanding their insights with ease.
In the future, Alteryx plans to introduce more features in 2023 under the AiDIN engine to further aid in streamlining data analytics. By taking on a ‘reimagine analytics’ approach, Alteryx hopes to create opportunities that will help businesses and enterprises alike to maximize the use of their data. With the implementation of their generative AI capabilities, businesses can now be assured of data accuracy and productivity when it comes to making data-driven decisions.
