Articles by Lee Harland
Focus on Text analytics “Human and Machine Intelligence: Building The Future Of Text Analytics”
We believe that together, Deep Learning and semantics have a significant role in the future of text analytics. For transforming unstructured content into usable data, we recommend a synergistic approach through a consistent API that addresses concerns over change management and future-proofing existing workflows. By leveraging the best of machine learning and organisational standards, there's a bright future ahead for text analytics in the STEM domain.