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Infographic: The Rise of AI in the Call Center Industry

Artificial intelligence will soon break into the call center industry even more to complement the work of human agents, and its wide potential applications are promising. The infographic below courtesy of our friends over at Executive Boutique will show you some statistics about artificial intelligence and how call centers can integrate AI into their existing business processes.

How Predictive AI will Change Cybersecurity in 2021

In this contributed article, Dr. Igor Mezic, CTO of MixMode AI explains how you can identify and stop zero-day attacks like the SolarWinds attack with the invention of this Unsupervised, Predictive AI, which uses a baseline to understand what should be occurring on the network at all times in order to catch anomalies as soon as they appear.

Deep Learning Offers the Potential to Improve the Video Streaming Experience

In this contributed article, Christian Timmerer, Co-founder of Bitmovin, describes the findings of a recent paper that Timmerer and his team presented at IEEE’s International Conference on Communications and Image Processing which explores the use of Convoluted Neural Networks (CNNs) to improve video streaming.

Why Your AIOps Deployments Could Fail

In this contributed article, Gab Menachem, Senior Director, Product Management, ITOM at ServiceNow, outlines why many organizations are still struggling to deliver effective AI/AIOps strategies in the COVID-19 era and share steps they can take to maximize the potential of these solutions.

The State of AI and Machine Learning

In the 7th edition of its annual State of AI and Machine Learning report, Appen continues to explore the strategies  employed by companies large and small in successfully deploying AI. The reports surveys business  leaders and technical practitioners ( referred to as technologists) alike to understand  their priorities, their successes, and their bottlenecks when it […]

The State of AI and Machine Learning

In the 7th edition of its annual State of AI report, Appen continues to explore the strategies  employed by companies large and small in successfully deploying AI. The reports surveys business  leaders and technical practitioners ( referred to as technologists) alike to understand  their priorities, their successes, and their bottlenecks when it comes to implementing AI.  Collectively, their answers enabled the company to paint a picture of how the AI industry continues to  evolve in a world that is more virtual, more tech-savvy, and more globalized than ever.

The 3 Reasons Enterprises Need an AI Operating System for Intelligent process Automation

This new whitepaper, “The 3 Reasons Enterprises Need an AI Operating System for Intelligent process Automation,” from Veritone highlights how evolving technology meets enterprise demand for agile, intelligence-based solutions in the shape of AI-based operating systems (OS) across three areas: (i) AI OS for automation of human work; (ii) AI OS for process automation across all data sources; and (iii) AI OS for democratization of AI across the
enterprise.

The 3 Reasons Enterprises Need an AI Operating System for Intelligent process Automation

This new whitepaper from Veritone highlights how evolving technology meets enterprise demand for agile, intelligence-based solutions in the shape of AI-based operating systems (OS) across three areas: (i) AI OS for automation of human work; (ii) AI OS for process automation across all data sources; and (iii) AI OS for democratization of AI across the
enterprise.

Mastercard’s Five Pillars of AI

Businesses are rushing to adopt AI — but they need to consider ethics right off the bat if they want to build trust and future-proof their business. This special report from Brighterion highlights how more than 60% of consumers consider brands more trustworthy if they think their use of AI is ethical — meaning today’s businesses must be able to demonstrate responsible AI as the technology becomes critical to the future of work.

Reduce Compliance Risk in Your Call and Contact Center With AI

This white paper, “Reduce Compliance Risk in Your Call and Contact Center With AI,” 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.