DataScava

DataScava commissioned named IBM Distinguished Engineer Scott Spangler to discuss his views on the importance of fully utilizing Unstructured Data in Business Intelligence analytics. Scott is a former IBM Watson Health Researcher, Chief Data Scientist, and the author of the book "Mining the Talk: Unlocking the Business Value in Unstructured Information."

This article provides an overview of the most common current approaches to analyzing unstructured information in BI — Machine Learning, Generic Taxonomies and Text Mining — highlighting the specific drawbacks of each. It then explains the importance of subject matter expert-driven taxonomies and illustrates how DataScava can be used to build and deploy these taxonomies at scale and mine unstructured data to maximize business value.

The Key Ingredients for Game-Changing Business Intelligence (BI) from Unstructured Textual Data DataScava commissioned named IBM Distinguished Engineer Scott Spangler to discuss his views on the importance of fully utilizing Unstructured Data in Business Intelligence analytics. Scott is a former IBM Watson Health Researcher, Chief Data Scientist, and the author of the book "Mining the Talk: Un

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.

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.

DataScava's patented “Weighted Topic Scoring” finds the most relevant documents from large data sets, providing highly precise results you can see, control and measure. Visit our website to learn how https://datascava.com/.