Call Summarization: an AI Solution for Customer Service Providers

August 4, 2020

According to 36% of survey respondents, the most frustrating aspect of a poor customer service experience is when an agent lacks the knowledge or ability to solve the customer’s issue. Whereas, 31% say it is having to repeat or provide their data multiple times.

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Why should you measure the cost of bad data?
July 30, 2020

Poor Data Quality can result in less accurate AI/ML models and consequently incorrect insights and increased costs.

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Taking a Proactive Approach to Managing Company Data
July 17, 2020

Changes in consumer demand have made managing each aspect of the supply chain increasingly complex. As a result of the Amazon Effect, the supply chain industry is being pressured to evolve.

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Chat with Cognistx Data Scientist Tom Bu During Covid-19
July 13, 2020

Holly Weaver and Tom Bu chat live during the pandemic of 2020 about the future of Artificial Intelligence.

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Insurance Industry Transformation with AI/ML
June 11, 2020

Customers want most things at their fingertips, including insurance services. From comparing policy quotes to filing a claim, they want everything online, not waiting in a queue.

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Chat with Cognistx Software Engineer Francis Carayol During Covid-19
June 5, 2020

Holly Weaver and Francis Carayol chat about New Mexico, travel and the differences between American and West African culture.

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Chat with Cognistx Data Scientist Uxue Zurutuza During Covid-19
May 7, 2020

Holly Weaver and Uxue Zurutuza chat live from Pittsburgh about the Covid-19 crisis and what it's doing to AI, along with some classic Spanish recipes.

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Chat with Cognistx Data Scientist Roshan Bhave During Covid-19
April 23, 2020

In this conversation between Holly Weaver and Roshan Bhave, a Data Scientist explains how Artificial Intelligence affects all of us and how to adapt in the new norm of Covid-19.

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Demand Forecasting: Preparing Your Business for Global Events and Uncertainty
April 8, 2020

Demand can change significantly due to external or internal events. The COVID-19 pandemic is a huge global external event. Can you plan accordingly?

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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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