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[RECORDED] Unlock the Value of Data Discovery Using Knowledge Graphs and Hybrid AI

Successful knowledge management, risk management and process automation initiatives use Knowledge Graphs and Text Analytics for data discovery to extract value from documents and transform them into actionable insights and data.

Knowledge Graphs aka Semantic Networks are the bedrock of an organization’s Information Architecture - modeling an organization’s products, services and people. Such semantic approaches, leveraging Natural Language techniques, have been the backbone of Text Analytics. Recently, advances in Machine Learning (ML) are augmenting such traditional approaches to create Hybrid AI.

Attend the next Earley Information Science webinar to understand the key steps to set up your next data discovery initiative for success using the latest methodology and technologies. We’ve partnered with Expert.AI, a recognized leader in document-oriented text analytics platforms to explain the technical and methodological advances that enable better data discovery.

In this webinar we discuss:
  • Hybrid AI – Combining Machine Learning and Natural Language
  • Information Architecture and Knowledge Graphs
  • Real World Examples and Business Impact – Expert.ai

Speakers

  • Seth Earley
    Founder & CEO, Earley Information Science

  • Christophe Aubry, Global Head of Value Creation, Expert.aiREGISTER

Earley Information Science Team
Earley Information Science Team
We're passionate about enterprise data and love discussing industry knowledge, best practices, and insights. We look forward to hearing from you! Comment below to join the conversation.

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