Applications Priorities 2027
AI has raised the ceiling on application delivery. The applications practice must catch up now.
Based on Infotech research data and insights from enterprise case studies, this research outlines the key initiatives for applications leaders in 2027 and recommended steps to execute each one successfully. This research examines four priorities to help applications leaders turn AI-enabled capacity into sustainable application value: Tame AI-Generated Technical Debt, Build an Agent-Ready Workforce, Turn Power Users Into Developers, and Embrace Multi-Agent Development in Your SDLC.
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Applications Priorities 2025
Rationalize Your Application Portfolio
Extend Agile Practices Beyond IT
Integrate Portfolios to Create Exceptional Customer Value
Automate Your Software Delivery Lifecycle
Build Your BizDevOps Playbook
Modernize Your Applications
Embrace Business-Managed Applications
Build Your Applications Practice Strategy
Review Your Application Strategy
Assess the Value Drivers Within Your Solutions
2020 Applications Priorities Report
Applications Priorities 2022
Make the Case for Product Delivery
Satisfy Digital End Users With Low- and No-Code
Select a Sourcing Partner for Your Development Team
Applications Priorities 2023
Make the Case for Enterprise Business Analysis
Decide if You Are Ready for SAFe
Adopt Generative AI in Solution Delivery
Applications Priorities 2024
Build Your Exponential IT Product Practice
Insights Into Software Selection 2025
Stay Relevant in the Era of AI-Powered Search
Transform IT, Transform Everything
Building Info-Tech’s Chatbot
Assessing the AI Ecosystem
Building the Road to Governing Digital Intelligence
Bring AI Out of the Shadows
The AI Vendor Landscape in IT
An Operational Framework for Rolling Out AI
Applications Priorities 2026
Develop a Plan to Overcome Your Microsoft Power Apps Challenges
