DataScava is an unstructured text data miner built on patented deterministic methods that keep the Human in Command. We power TalentBrowser. #DSLP#TTT#WTS
Reupping our ever-relevant piece in CDO Magazine @magazine_cdo "Machines in the Conversation: The Case for a More Data-Centric AI"
https://t.co/K02SNNBevT
Scott Spangler 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.”https://t.co/mbHBwH0qKA
Executive Q&A: DataScava, AI and ML with Scott Spangler, former IBM Watson Health Researcher, Chief Data Scientist, author of "Mining the Talk." https://t.co/zJcqY11F8i
In this Executive Q&A our CEO @JANETDWYER2 discusses with former IBM Chief Data Scientist Scott Spangler how our patented domain-specific approach to unstructured text mining complements real-world big data applications in AI and Machine Learning. #AI#ML https://t.co/ebFEjiwMxI
DataScava mines raw unstructured text data using your business language that you control. We're joining Chief #Data & #Analytics Officers at #CDAOFall 2020 NEXT WEEK: https://t.co/EH0bk9iOlo
Only 3% of financial services firms use #ML to analyse unstructured data, which is 80% of the data they hold. @DataScava makes unstructured textual data accessible and actionable for use in #AI#ML#RPA and other data-driven systems,/ using #DSLP and #WTS. https://t.co/zcmg4q0jw9
Was on the edge of my seat as I read real-time the predicted text - seemingly smart but actual "gobbledygook" - from @OpenAI's GPT-2 tool in this superb article by @jmseabrook@NewYorker, an overwhelming case for hybridized Human Knowledge + #ML systems! https://t.co/Tv3edAZD6x
Excited to be @strataconf today and share how @DataScava mines messy unstructured data using Domain-Specific Language Processing and patented Weighted Topic Scoring tuned to your business as an alternative or adjunct to #NLP#NLU
Learn more https://t.co/T8oO5ZDV2K #StrataConf