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From project to product: Architecting the future of enterprise technology

CIO Business Intelligence

For CIOs leading enterprise transformations, portfolio health isnt just an operational indicator its a real-time pulse on time-to-market and resilience in a digital-first economy. In todays digital-first economy, enterprise architecture must also evolve from a control function to an enablement platform.

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Announcing Open Source DataOps Data Quality TestGen 3.0

DataKitchen

Now With Actionable, Automatic, Data Quality Dashboards Imagine a tool that can point at any dataset, learn from your data, screen for typical data quality issues, and then automatically generate and perform powerful tests, analyzing and scoring your data to pinpoint issues before they snowball. DataOps just got more intelligent.

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Generative AI in the Enterprise

O'Reilly on Data

In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI. Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. What’s the reality? Only 4% pointed to lower head counts.

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The Race For Data Quality in a Medallion Architecture

DataKitchen

Next, data is processed in the Silver layer , which undergoes “just enough” cleaning and transformation to provide a unified, enterprise-wide view of core business entities. Data is typically organized into project-specific schemas optimized for business intelligence (BI) applications, advanced analytics, and machine learning.

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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO Business Intelligence

With the AI revolution underway which has kicked the wave of digital transformation into high gear it is imperative for enterprises to have their cloud infrastructure built on firm foundations that can enable them to scale AI/ML solutions effectively and efficiently.

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The DataOps Vendor Landscape, 2021

DataKitchen

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Testing and Data Observability. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Testing and Data Observability. DataOps is a hot topic in 2021.

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How IT leaders use agentic AI for business workflows

CIO Business Intelligence

Agentic AI is the new frontier in AI evolution, taking center stage in todays enterprise discussion. Though loosely applied, agentic AI generally refers to granting AI agents more autonomy to optimize tasks and chain together increasingly complex actions. Testing is something weve been spending a lot of time on, says Salesforces White.

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