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Slice of ice Recap: AI in the Contact Center Part 2
by Anastasia Micic | Published On March 13, 2026On Wednesday, March 4th, ComputerTalk hosted its latest Slice of ice webinar, diving into how AI is reshaping customer interactions and giving teams more context and clarity than ever before.
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Canadian Data Residency Requirements for Contact Centers: What CCaaS Buyers Need to Know
by Nicole Robinson | Published On March 11, 2026Data residency sounds straightforward until someone asks where the data actually goes. “Canadian hosting” usually means storage, and that’s where confusion starts for Canadian contact center leaders.
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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, 2026
Spend just one week in a utilities contact center, and you’ll understand the pressure. Calls spike without warning. A transformer blows, or a storm rolls through, and suddenly the lines are packed with worried customers. Everyone wants answers right now,...
Traditional metrics don't always reflect how customers actually feel. Sentiment analysis uses NLP to uncover the emotions behind every interaction, helping contact centers improve experiences, not just outcomes.
This guide introduces the top contact center AI solutions, from agent assist to AI self-service and conversational analytics, primed to support customer-focused teams in 2026.
