Application Development - Blueprints
Topics
Master Systematic Application Replacement With a Fit-for-Purpose PlanApplication replacement succeeds or fails based on how well you onboard the new and sunset the old. If onboarding doesn’t deliver early value, adoption slows. If sunsetting... |
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Defend Against Defects and Technical Debt in Your AI-Generated CodeAI is here to stay. The real question is not whether you use AI, but whether you use it responsibly. By implementing necessary guardrails on your AI tools, you can ship... |
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Right-Size Your Enterprise Application Support TeamEnsuring application support teams are at their optimal size and structure is critical when running major enterprise apps like ERPs or CRMs. But this challenge becomes even... |
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Develop a Plan to Overcome Your Microsoft Power Apps ChallengesUse this four-step research framework to properly address these critical issues before scaling Power Apps across your organization. |
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Applications Priorities 2026The Applications Priorities 2026 report explores four critical initiatives to reinforce applications team fundamentals, drive AI-enabled value, and ensure consistent,... |
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Develop Your Agile Approach for a Successful TransformationAgile transformations can be difficult and complex to implement. That’s because they require fundamental changes in the way an organization thinks and behaves (and many... |
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Deliver Digital Products at ScaleThe need for business agility is growing, but many organizations still focus on product delivery at a tactical level. How well are individual product teams' changes aligned... |
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Transform IT, Transform EverythingLearn more about leveraging exponential technology to meet socio-political and cultural uncertainty head on and explore other transformative insights on Exponential IT in... |
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Building Info-Tech’s ChatbotIf you had to start entirely from scratch, with no team or AI technology, how would you start building an AI chatbot? How would you do it in 12 months? |
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Assessing the AI EcosystemThe AI ecosystem is much more than just an AI model, requiring configuration, data collection, machine resource management, and more to drive value. |
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