... growth and differentiation. In particular, his research focuses on the operationalization of artificial intelligence techniques and practices, AI Engineering and next-generation decision intelligence systems. Mr. Brethenoux has extensive experience in the domains of AI, data science and cognitive computing ...
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... automation that is safe. Leaders responsible for decision intelligence should select vendors with critical capabilities for decision analysis, low-code engineering, decision science and decision governance. Overview Strategic Planning Assumptions What You Need to Know Analysis ACTICO Aera Technology CRIF Decisions ...
Analyst(s): Kevin Quinn | David Pidsley | Kjell Carlsson | Carlie Idoine | Gareth Herschel
... Access Insights Already a Gartner client? Technical debt remains a top pain point for software engineering leaders. While AI coding agents reduce code-level technical debt, they are also driving a huge increase in architectural technical debt. This Market Guide examines the technical debt management ...
Analyst(s): Howard Dodd | Aaron Harrison | Tigran Egiazarov
... Insights Already a Gartner client? Domain-specific reasoning models are emerging as core enablers for specialized domains like physical AI, software engineering, and bioscience and healthcare. Billions of dollars in funding investments are signaling strong industrywide bets on domain-specific intelligence ...
... Access Insights Already a Gartner client? Software engineering leaders adopting AI coding agents must minimize security risks, protect environment integrity and improve developer productivity. This research defines an emerging market that addresses these needs and outlines the capabilities required to ...
... Guide software engineering teams to scope, build, test, and deploy an AI agent that meets governance and security requirements and drives success on business outcomes. Outcome Suggested Partners Step 1 Step 2 Step 3 Step 4 Gartner Insights Abstract ...
... Software engineering leaders should kickstart platform engineering by defining their vision for platform engineering, understanding unique platform team composition needs and clarifying the skills and behaviors of effective platform team members. Session Description Learning Objectives Gartner Recommended ...
... product model more important than ever. This research offers 13 real-world examples of product model organizational structures to help software engineering leaders optimize their organizational design. Gartner Recommended Reading Gartner Insights Abstract ...
... Insights Already a Gartner client? AI code review tools are becoming commoditized, making selection simpler than vendor marketing suggests. Software engineering leaders should focus on elimination criteria, integration fit and risk appetite rather than exhaustive feature comparison. Gartner Insights Abstract ...