Remove Artificial Intelligence Remove Innovation Remove Structured Data
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Sprinklr named to IDG Insider Pro and Computerworld’s 2021 list of 100 Best Places to Work in IT

Sprinklr

We were selected as one of 100 top organizations due to our focus on creating an enriching workplace where professionals innovate, learn, and grow by working with cutting-edge technologies. Access to advanced artificial intelligence (AI) on a unified customer experience management (Unified-CXM) platform.

CXM 96
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How Agentic AI in Auto Finance Will Shake Up the Industry

Lightico

If you are following auto finance news you’ve probably seen that artificial intelligence (AI) continues to evolve, and we are witnessing the emergence of Agentic AI in Auto Finance a powerful iteration of AI that transcends mere content generation or structured workflows.

Finance 52
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AI-Powered Predictive Analytics: Gaining Insights from Customer Interactions

CommBox

AI technology helps businesses to exploit large amounts of data from client interactions powered by advanced analytic tools; this data gives valuable insights that help to improve service quality and drive success. Companies adopting a comprehensive approach may identify areas for improvement or innovation.

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DMG Consulting Releases 2017 – 2018 Speech Analytics Product and Market Report

DMG Consulting

Currently, there are two categories of speech analytics vendors in the market: a large group of competitors who sell basic applications that focus on identifying key words and phrases, and a smaller set of feature-rich solution providers who offer extensive business intelligence platforms that provide enterprise-level data.

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The opinion of 6 experts on the future of contact centers in a post-corona world

Steven Van Belleghem

José Teunissen, Projectleader Innovation Implementation @ bol.com. We want to keep evolving and innovating as a company, which has become harder and quicker since we are dealing with this crisis. . Having said that, what we do know is that innovation will still be needed in both dimensions. Read all about that here below.

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Supervised vs. Unsupervised Learning: What’s the Difference (Plus Use Cases)

Uniphore

Now that researchers are pushing the boundaries of artificial intelligence, AI approaches learning with similar, if still rudimentary, methods. Supervised learning is best suited for things like: Structured data. Messy data with fewer labels requires unsupervised learning. Desired outcomes (i.e.,