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The Human-Centric CDO: 3 Key Takeaways from the Gartner Data & Analytics Summit 2023 in London

Alation

D&A leaders from around the world gathered to discuss and find ways to overcome the latest challenges through strategies and innovations backed by data, analytics, and data science. Data culture can sound like a soft skill, but becoming truly data-driven requires company-wide support, buy-in, and execution.

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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

Productivity does not come through the fingers of each data engineer; it comes from building a system around those engineers that allows them to run production with minimal errors and move things into production quickly, with low risk, so they can focus on making their customers successful. What if you took another perspective?

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Data Scalability Raises Considerable Risk Management Concerns

Smart Data Collective

Are you frustrated by an increase in the quantity of the data that your organization handles? Many businesses globally are dealing with big data which brings along a mix of benefits and challenges. A report by China’s International Data Corporation showed that global data would rise to 175 Zettabyte by 2025.

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Data Observability and Monitoring with DataOps

DataKitchen

That’s a fair point, and it places emphasis on what is most important – what best practices should data teams employ to apply observability to data analytics. We see data observability as a component of DataOps. In our definition of data observability, we put the focus on the important goal of eliminating data errors.

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Your 5-Step Journey from Analytics to AI

CIO Business Intelligence

This investigation will help you identify the organizational and infrastructure changes needed to open up data access across the company. . Consolidate data . Consolidation creates a single source of truth on which to base decisions, actions, and reports. Set up unified data governance rules and processes.

Analytics 112
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The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO Business Intelligence

It’s About the Data For companies that have succeeded in an AI and analytics deployment, data availability is a key performance indicator, according to a Harvard Business Review report. [3] Protecting the data : Cyber threats are everywhere—at the edge, on-premises and across cloud providers.

Analytics 136