insideBIGDATA’s latest “Heard on the Street” round-up column which highlights thought-leadership commentaries from members of the big data ecosystem featured Teresa O’Neill, Director of Solutions Architecture for Natural Language Understanding at iMerit.
Here are 3 key takeaways:
- While data quality has historically been a pain point for businesses, it doesn’t have to be. Taking advantage of lineage tools that offer pipeline visibility enables organizations to identify where quality issues might arise and address them before they become problematic.
- Natural Language Processing will play a huge role in operational efficiency moving forward. Whether NLP is being used to extract insights from meeting recordings and voice calls in the conversational intelligence space, distill information in medical documents, such as patient records, in the healthcare sector, or identify harmful speech behavior in the gaming industry, the technology is enhancing operational efficiency and improving critical processes across the board.
- The key to successful digital transformation is marrying current strategies with a modern data platform that can quickly and securely make information available where and when it is needed. No need to start from scratch and reinvent the wheel.
Read the full column here.