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How we measure Source Reliability

Not all the information we use to make decisions is reliable. To build knowledge we rely upon well-established sources and other providers we have learned to trust. Our determination of reliability is limited by our own bias, breadth of research and depth of understanding. Organizations are overlooking reliable but lesser-known data sources or unwittingly considering purposefully misleading sources. Businesses are unknowingly limiting their own analysis and missing valuable insights. Industry specialists can scale there expertise by empirically understanding the reliability of every piece of information to aid intelligent decision making.
Accrete has built a function that can empirically measure reliability, independent of bias. Our team has developed a dynamic scoring algorithm that can be trained to understand specific domains of expertise. The machine can understand industry-distinct language and nuance, so data can be analyzed in context. Reliability measures how fast information is propagating, how many sources have published the same content, and the nature of the content itself. It is then able to understand the difference between authentic and inauthentic information. This combination of concepts allows the function to understand source characteristics in a dynamic fashion that captures the reliability with maximal probability. Most importantly, the machine is capable of 'continuous dynamic learning’ which means it can adapt and evolve its understanding much like a human. Organizations can improve analysis, mitigate expert bias, and inform leaders to make better decisions.
  • De-couple Bias

  • Dynamic Scoring

  • Empirical Measurement

  • Discover New Insights from Highly Reliable Sources

  • Construct Micro-to-Macro Trend Views

  • Reveal the Value of Content

  • Understand the Spread of Information

  • Uncover Information Before High-Popularity Sources

Accrete Scalable Process

The Accrete architecture is purposely designed to enable the rapid development of robust enterprise AI solutions. We have developed core ‘knowledge functions’ that can be interconnected to automate analytical tasks with human-like accuracy. Accrete licenses applications that are continuously learning and adapting to dynamic environments. By scaling human expertise and adapting to dynamic information, we can provide accurate predictions needed for important decision making.