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  • for Month: 2024/02
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Accelerate Enterprise Data Science in the Hybrid Cloud with MLOps Overcome the Challenges of Operationalizing AI/ML Data is an extremely valuable asset for every organization, but it is meaningless until it is used to make actionable decisions. Given the volume of data generated and collected today, using artificial intelligence with machine learning (AI/ML) is the most efficient way for... Read More

Topics: Data


Harnessing CX Automation for Elevated Experiences Executive Summary Contact centers typically operate at the extreme edge of capacity, balancing customer expectations against the imperative to control costs. Bridging this capacity gap has historically proven elusive for operations teams, often forcing compromises in either service quality or agent performance, until artificial intelligence (AI)... Read More

Topics: Customer Experience


Data Integration Considerations for ISVs and Data Providers Real-Time Data and AI Drive Businesses Today Data is an extremely valuable asset to almost every organization, and it informs nearly every decision an enterprise makes. It can be used to make better decisions at almost every level of the enterprise—and to make them more quickly. But to take full advantage of the data and to do so quickly... Read More

Topics: Analytics and Data