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Premium Research Aug 2026
... Industrial AI is disrupting the traditional OT hardware market. As AI, edge and IoT converge, value will shift from physical equipment to software-defined OT platforms. Tech product and services leaders that reposition portfolios around this transition can capture manufacturing’s next $300 billion technology ...

Analyst(s):   Scot Kim
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Premium Research Aug 2026
... AI coding assistants and autonomous agents are transforming data science and machine learning workflows by automating repetitive tasks and enhancing productivity. For data scientists, interactive tools will be used for human-centric tasks while automation tasks will be delegated to agents. Overview ...

Analyst(s):   Cuneyd Kaya
Research Aug 2026
... Access Insights Already a Gartner client? Over time, the business reason for developing data integrations, who built them, how they’re used and by whom gets lost. Mapping data integration pipelines to business processes is critical to understand the value that data integration contributes to the overa ...

Analyst(s):   Andy Lee
Premium Research Aug 2026
... Data observability tools now incorporate AI capabilities that vendors describe as “agentic.” However, without a shared definition of the term, buyers cannot effectively compare these capabilities among vendors. Data architects should evaluate the autonomy of these capabilities and determine where human ...

Analyst(s):   Prudhvi Bade
Research Aug 2026
... Gartner has identified C-level themes covering AI value and risk, AI agents, organization structure changes due to AI, sovereignty, and physical AI. Software engineering leaders use these themes to focus their decisions and actions as they deliver AI value in 2027. Analysis Research Highlights Gartner ...

Analyst(s):   Brad Dayley
Premium Research Sep 2026
... While CAEs aim to continue improving audit impact and quality, many must do so within their current budgets. This research highlights what cost-efficient audit departments do differently. CAEs can use these insights to guide decisions around how to drive cost-efficiency in their function. Insights at ...

Analyst(s):   Maria Wahlstrom
Research Aug 2026
... Access Insights Already a Gartner client? Data journey mapping is important to data integration; it also can help you better understand what data is shared and how it travels among systems, the sequence in which data flows, and the data dependencies among systems. This document describes how to begin ...

Analyst(s):   Andy Lee
Research Aug 2026
... Access Insights Already a Gartner client? Data integration may begin with enterprise architecture, updating integration tech, solving current challenges or meeting new business needs. Using proper tools and templates lowers risk, captures key metadata and maintains institutional knowledge, regardless ...

Analyst(s):   Andy Lee
Research Aug 2026
... Access Insights Already a Gartner client? Data mapping templates help clearly define data integration development requirements and retain a record of system-to-system attribute mappings including any validations, business logic, and data characteristics. Use this template to begin a data mapping docum ...

Analyst(s):   Andy Lee
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