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How we Track Rumors

rumorHound-showcase
Problem
Keep pace with the exponential growth in data using continuous dynamic learning. Vital information relevant to your industry or domain emanates from many different sources. Humans are unable to know every source and don’t have the cognitive bandwidth to distill this vast amount of data. Nevertheless, experts are expected to stay up-to-date with significant events, pertinent developments, and relevant innovations. Organizations that remain situationally aware sustain a competitive edge.
Solution
Accrete can continuously search for relevant data sources and surface information experts will care about. For the machine to conduct in-depth research just like a human, the model is tuned to read and understand a specific subject. It becomes smarter over time as the in-built ‘noise’ function continuously learns to reduce non-relevant outputs. By utilizing the latest machine-learning techniques the AI remains situationally aware, gaining more knowledge and keeping track of only relevant sources of information. As the system becomes increasingly autonomous, the level of human effort decreases allowing the experts to scale their expertise in a non-linear way. Businesses can now efficiently monitor an ever-expanding universe of data, experts can conduct deeper analysis, and discover valuable insights far in advance of competitors.
Benefits
  • Autonomously Discover Relevant Information

  • Continuously Grow the Number of Sources

  • Disseminate Only Content of Interest

  • Intelligently Refine the Data Surfaced

  • Adaptive Learning for Improved Research

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. Working closely with our clients, Accrete builds 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.

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