Call Summarization: an AI Solution for Customer Service Providers

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

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.

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

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.

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

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.

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.

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

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.

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?

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?

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.