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Learn How to Design & Deploy Responsible AI Systems

KDnuggets

Learn how to design & deploy responsible AI systems with this white paper from Teradata.

Designing 109
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Learn How to Design & Deploy Responsible AI Systems

KDnuggets

Learn how to design & deploy responsible AI systems with this white paper from Teradata.

Designing 106
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Why Legacy CCM Systems Are Costing You Customers and Employees

Precisely

Key Takeaways Legacy CCM systems are damaging to customer satisfaction and employee productivity and are no longer sustainable. But many organizations continue using outdated legacy CCM systems, which can significantly hinder both customer satisfaction and employee productivity and retention.

Systems 52
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9 Mainframe Statistics That May Surprise You

Precisely

More specifically, these companies use IBM Z systems. This growth is driven by the ongoing need for reliable, high-capacity computing systems, particularly in sectors like banking, finance, and government​. An IBM Z System mainframe can survive an earthquake having a magnitude of at least 8.0 during the period from 2024 to 2032.

Banking 116
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Building end-to-end security for Messenger

Engineering at Meta

We are beginning to upgrade people’s personal conversations on Messenger to use end-to-end encryption (E2EE) by default Meta is publishing two technical white papers on end-to-end encryption: Our Messenger end-to-end encryption whitepaper describes the core cryptographic protocol for transmitting messages between clients.

Building 144
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How to Accelerate Digital Adoption and Reduce Costs with Better Customer Communications

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Consider these questions: Do different departments within your organization have their own systems for customer communications – all drawing from different data stores? White paper Need to Accelerate Digital Adoption and Reduce Costs? Can your current system alert your customers in real time – saving them money and stress?

Retail 59
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Insurance Organizations Depend on the Quality of Their Data

Precisely

Top performers are much more likely to use technology systems to validate addresses and other geographic data points. Only 26% regard this tactic to be highly effective, whereas more than 40% indicate a strong preference for automated systems and scalable data validation tools.