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InMoment : The Case for CX Investment White Paper

Corinium

Download this paper to learn: How to realise the full potential and prove the value of your CX program. An ROI model that allows you to make quick wins and meet long term goals. Tangible ways to quantify the financial benefits of customer experience.

ROI 195
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Value Stream Management for digital transformation: A new maturity model

CIO Business Intelligence

New research 1 underscores the common challenges many enterprises face in advancing their Value Stream Management (VSM) maturity levels for digital transformation, emphasizing the crucial need for effective guidance. Recognizing this need, we have created a cutting-edge VSM maturity model.

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Making sense of zero trust – why a managed SASE solution is the ideal option for enterprises

CIO Business Intelligence

But it also revealed a lack of clarity about the best way to implement SASE, leading to a need for managed SASE solutions which ensure businesses fully leverage the benefits of this technology. In fact, the report found that more than half (52%) of respondents considered engaging a managed service provider (MSP) for rolling out SASE.

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Trust: The foundation for successful digital transformation

CIO Business Intelligence

Recalibrating enterprises around cohesive digital operating models sustained by a singular real-time data source is essential in establishing a solid foundation for trust. These digital operating models help enhance visibility, foster trust, and deliver tangible value. Digital Transformation

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Gartner: Operational AI Requires Data Engineering, DataOps, and Data-AI Role Alignment

DataKitchen

In this report, Gartner outlines recommendations to effectively operationalize AI solutions that involve the core management competencies of ModelOps, DataOps, and DevOps. Blog: Deliver AI and ML Models at Scale with ModelOps. On-Demand Webinar: Your Model is Not an Island: Operationalize Machine Learning at Scale with ModelOps.

Testing 130
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How A Data Catalog Enhances Data Risk Management

Alation

But data leaders must work quickly, and use the right tools, to understand, manage, and protect data while complying with related regulations and standards. Download the complete white paper now. Download the complete white paper now. The Increasing Focus On Data Risk Management. From DCAM To Data Catalog.

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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.