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Bridging the AI Execution Gap: Why Strong Data Foundations Make or Break Enterprise AI

Jen Stirrup

The Four Pillars of the AI Execution Gap To understand why the AI execution gap persists, we must examine the four primary data challenges undermining AI success: 1. The Business Application Research Center (BARC) found that organizations estimate the cost of poor data quality at an average of $12.9 million annually.

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From Data Lake to Data Products: Operationalising Analytics at Scale

DataFloq

Introduction The rise of enterprise data lakes in the 2010s promised consolidated storage for any data at scale. However, while flexible and scalable, they often resulted in so-called “data swamps”- repositories of inaccessible, unmanaged, or low-quality data with fragmented ownership.

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Tapping into the benefits of an open data lakehouse for enterprise AI

CIO Business Intelligence

Challenges to Effective Data Management Among the issues that surround data management and effective AI, one of the most common comes in the form of data silos that result from sprawling systems and operations. A large enterprise typically has a vast pool of data to store and manage.

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6 data risks CIOs should be paranoid about

CIO Business Intelligence

But investments in data governance, data operations, and data security — which have always been important — have all too frequently taken a backseat to business-driven initiatives, leaving AI success today in limbo. billion on marketing data in 2025.

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Top Considerations for Building an Open Cloud Data Lake

Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data.

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What is data architecture? A framework to manage data

CIO Business Intelligence

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. DAMA-DMBOK 2.

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Streamline AI-driven analytics with governance: Integrating Tableau with Amazon DataZone

AWS Big Data

With this integration, you can now seamlessly query your governed data lake assets in Amazon DataZone using popular business intelligence (BI) and analytics tools, including partner solutions like Tableau. When you’re connected, you can query, visualize, and share datagoverned by Amazon DataZone—within Tableau.