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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

AWS Machine Learning

This post is part of an ongoing series about governing the machine learning (ML) lifecycle at scale. This post dives deep into how to set up data governance at scale using Amazon DataZone for the data mesh. However, as data volumes and complexity continue to grow, effective data governance becomes a critical challenge.

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How to Lead a B2B CX Transformation Program—And Avoid Costly Mistakes

ECXO

Governance mechanisms should be put in place early, led by leadership. For instance, some companies form a CX governance board comprising senior leaders from sales, marketing, operations, services and finance, chaired by the CX executive sponsor. analyse sentiment, and trigger alerts for immediate follow-up.

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CX 2025: The AI Revolution That Will Leave Your Business Behind

eglobalis

Instead, dynamic alternatives such as Customer Effort Score (CES) , real-time sentiment analysis, and advanced AI-powered analytics offer deeper insights into customer behaviours. Silos, inconsistencies, and poor governance impede performance. However, we are not yet close to a day when AI will take over or render CX obsolete.

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Winning Leadership Support for Your CX Program: How to Align and Drive Buy-In

eglobalis

Many B2B firms also lack a central CX team in one survey, 28% had no coordinated CX governance which underscores the challenge of breaking down departmental barriers. Leverage Customer Insights : Utilize customer feedback and analytics to identify pain points and opportunities, demonstrating a data-driven approach to decision-making.

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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Crafting and Cascading a Customer Experience Strategy Across Global Organizations

eglobalis

Data analytics is critical for processing vast amounts of information to uncover patterns and actionable insights. Organizations such as Google, Netflix, and Spotify excel in leveraging data analytics to enhance user experiences and personalize offerings. Companies like HSBC in Europe and Toyota in APAC excel in this area.

Strategy 443
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Designing and Rolling Out a Global Customer Experience Strategy

ECXO

Data Analytics : Processing vast amounts of information to uncover patterns and actionable insights. Companies like Apple, Hulu, and Pandora excel in leveraging data analytics to enhance user experiences and personalize offerings. Insights from teams at firms like IBM, FedEx, and Target highlight trends and areas for improvement.

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