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4 Key Elements of Enterprise AI Strategy

bridgei2i

Enterprise AI automates the end-to-end journey from data to value. However, due to a lack of foundation to embed AI capabilities, companies cannot successfully leverage AI into their data and operational strategy. Strong Data-Driven Culture. Data is at the core of AI. Compliance.

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Engaging External Stakeholders With Your Data Platform

InsightOut

The power to access, analyze and present data sets from complex statistical programs lay only within their restricted reach. Data is now accessible to more and more stakeholders xe2x80x93 both internal and external. Data analytics plays a crucial role in the digital transformation of the organization.

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The art and science of data product portfolio management

AWS Big Data

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. All of this complicates the processes and collaboration needed to perform DPPM effectively.

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How to Choose the Best Analytics Platform, and Empower Business-Driven Analytics

Grooper

ISL is also the foundation for the process of transforming data into wisdom and successful master data management. Fear of disruption and growing digital transformation initiatives have created a demand for business-driven analytics. Applied analytics Business analytics Machine learning and data science.