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AI Contact Center for Lottery and Gaming: Improving High-Volume, High-Stakes Support
by Nicole Robinson | Published On March 4, 2026Customer support for lottery and gaming companies seems like it should be simple. Most interactions tend to fall into a standard set of categories, linked to account access, claims, ticket validation, or payments. However, even if the conversations seem simple, they’re loaded with urgency, suspicion, and pressure. One unclear answer can turn into three follow-up calls and a formal complaint.
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Contact Center Fraud Prevention: How to Protect Agents, Customers, and Revenue
by Nicole Robinson | Published On February 24, 2026Fraud hasn’t gone anywhere. It’s just getting smarter, harder to recognize, and much tougher to prevent, particularly in the contact center.
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Coding, Collaboration, and Career Growth: My ComputerTalk Story
by Shawn Plotko | Published On February 19, 2026Starting as a Software Developer co-op in 2022, I found a supportive environment at ComputerTalk that empowered me to grow.
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How to Master Contact Center Co-Pilot Implementation without Agent Pushback
by Nicole Robinson | Published On February 18, 2026
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Slice of ice Recap: AI in the Contact Center Part 1
by Anastasia Micic | Published On February 13, 2026On Wednesday, February 4th, ComputerTalk hosted its latest Slice of ice webinar, focusing on how AI is reshaping the customer experience before a call even reaches an agent.
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Microsoft Power BI vs Microsoft Fabric: Choosing the Right Analytics Foundation
by Gabriel De Guzman | Published On February 12, 2026Explore the differences between Power BI and Microsoft Fabric for contact centers, including architecture, data pipelines, real-time analytics, governance, and advanced AI capabilities.
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How a Contact Center Co-Pilot Helps Teams Work Smarter and Serve Faster
by Gabriel De Guzman | Published On February 4, 2026
AI promises to transform contact centers with smarter routing, faster responses, and better customer experiences - but success isn't guaranteed. This article explores why so many AI projects fail and how leaders can fix the issues before they derail results....
In a contact center, when your staff members struggle, your customers feel the impact. Small issues, like a slow system for accessing customer data, confusing policies, or a manager that never offers feedback spill straight into the calls and chats...
Banks, credit unions, and insurers have the same goal: deliver fast help that customers can trust.
