Zenarate Refocuses Customer Service Platform on Issue Resolution
Zenarate said in a press release that it is repositioning its customer service platform around whether customer issues are resolved across interactions handled by people and AI agents. The system groups multiple contacts about the same issue into one customer journey, including transfers between AI agents and human associates.
The platform uses interaction data to identify changes needed in employee training, AI agent knowledge, workflows, escalation rules, policies, or processes. It includes Perform for simulation and coaching, Analyze for reviewing interactions, and Evolve for automating conversations and workflows with AI agents.
Zenarate supports more than 200 enterprise customer service teams across 79 languages. Its platform has delivered more than 10 million AI simulations.
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Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
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