DataScava

Here's our new article "Machines in the Conversation: The Case for a more Data-Centric AI."

DataScava commissioned named IBM Distinguished Engineer Scott Spangler to discuss his views on the latest developments in generative AI. Scott is a former IBM Chief Data Scientist and author of the book "Mining the Talk: Unlocking the Business Value in Unstructured Information."

In this article, he argues that too much focus on generative AI distracts from the important value a more Data-Centric AI approach can provide to business applications. He then discusses the key technologies that we use to enable such an approach within the organization:

✔️ Topic models which reflect the primary areas of focus;
✔️ Flexible topic scoring to encode the organization's priorities;
✔️ Customized text processing that mirrors the way people actually communicate in the industry.

Learn more at https://datascava.com/

Machines in the Conversation: The Case for a more Data-Centric AI DataScava commissioned named IBM Distinguished Engineer Scott Spangler to discuss his views on the latest developments in generative AI. Scott is a former IBM Chief Data Scientist and author of the book Mining the Talk: Unlocking the Business Value in Unstructured Information.

This is the * first * in a series of articles DataScava commissioned from the brilliant Scott Spangler, former IBM Watson Health Researcher, Chief Data Scientist, and author of the book 💥 “Mining the Talk: Unlocking the Business Value in Unstructured Information.” 💥

Scott discusses how DataScava's patented domain-specific approach to unstructured text data mining complements real-world applications in AI, ML, RPA, BI, Talent and Research. Read his Q&A and the full series on our website.

Janet Dwyer on LinkedIn: Who's in Charge of Your Business: The Humans or the Machines? DataScava commissioned named IBM Distinguished Engineer Scott Spangler to discuss how our patented domain-specific approach to unstructured text mining…

Got unstructured text data? Check out our guest post for KDnuggets describing how our Domain-Specific Language Processing and patented Weighted Topic Scoring can be your alternative or adjunct to NLP to mine valuable information from data by following your guidance and using the language of your business.

Domain-Specific Language Processing Mines Value From Unstructured Data Processing unstructured text data in real-time is challenging when applying NLP or NLU. Find out how Domain-Specific Language Processing can also help mine valuable information from data by following your guidance and using the language of your business.