Data Quality Engine (DQE)

December 11, 2019

In any company with large amounts of data, it is critical to ensure that the highest level of quality is met within the data in order to guarantee precise and worthy business decisions. Anomalous data refers to information that is inaccurate or lacking data integrity.

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Artificial Intelligence: Hype vs. Reality

November 12, 2019

AI is growing in prevalence and businesses are getting more and more excited to jump on the bandwagon and start gaining business insights with Data Science. But is all the hype surrounding AI worth it?

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How Do I Manage Large Amounts of Data?

October 19, 2019

Unstructured data is widely prevalent in business. You interact with tons of it on a regular basis, including text files, email, social media, websites, communications, and more. So where does AI come in?

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AI in Supply Chain: Anomaly Detection

September 3, 2019

Supply chain and logistics companies have a high velocity and volume of data. It is not possible to track data quality with human personnel. This makes automation essential.

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Demand Forecasting with AI

August 22, 2019

Demand forecasting is a method to predict future consumer demand for products based on historical data. With big data and AI, we are able to achieve new levels of accuracy in our predictions, enabling businesses to allocate resources optimally and bring in higher profits.

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Golf and Artificial Intelligence

August 16, 2019

Cognistx developed SmartCourse™, and AI platform that enhances the golf playing experience for everyone involved!

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Cognitive Computing in Retail

August 12, 2019

Cognitive computing can dramatically enhance the retail experience for both companies and customers. Cognistx is successfully leveraging such technology for companies, big and small.

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Cognistx... Who We Are

May 13, 2019

Our website will tell you we are “leading researchers in cognitive computing and machine intelligence with deep expertise across multiple industries.” Sounds like a mouthful to me. In simple terms, this means we are experts in Intelligent Information Systems (IIS).

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