In this special guest feature, Andrew Herman, President of CorSource, addresses data quality, a challenge facing all companies in the age of mass data collection. “Successfully tackling data quality is imperative, and achievable with a progressive, methodical approach. Your competitors are struggling with this very issue, and the question is whether this is going to remain your problem, or just theirs.”
Industry Perspectives
How We Use Synthetic Data to Improve Performance and Break Away from Dataset Constraints
In this contributed article, Jan Lunter, CEO & CTO of Innovatrics, highlights how synthetic data is an efficient technology to supplement datasets with types of data that are underrepresented. The advancements made in recent years in generative adversarial networks (GANs) allow us to leverage the benefits of generating synthetic data for a wide range of machine learning (ML) applications.
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Reduce Compliance Risk in Your Call and Contact Center With AI
This white paper from Veritone discusses how compliance represents a major risk for contact centers, with violations potentially costing organizations millions of dollars in fines and causing reputational damage to the brand. The current method of monitoring calls — using manual review of recorded conversations — does not come close to meeting the requirements for comprehensive monitoring of regulated interactions. AI text-to-speech technology provides the solution to this dilemma, with its capability to transcribe, translate, redact, find objects and generate searchable indexes of limitless hours of recorded calls in near real-time.
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