Gartner® Research:
How to Accelerate AI Enablement of Custom Software Applications

Software engineering leaders face mounting pressure to embed AI into applications. And they need to do it fast. But without the right strategy, implementation stalls, expectations go unmet, and risks multiply.
Latest research from Gartner offers a phased approach to AI enablement that prioritizes speed, quality, and long-term success.
Download to access:
- A phased approach to embedding AI in custom applications
- Best practices for leveraging cloud AI services, AutoML, and GenAI
- Common challenges and roadblocks in AI implementation—and how to overcome them
- Risks associated with AI-powered applications and how to mitigate them
“Cloud resilience is not a given. Effective resilience must be intentionally architected and implemented throughout applications and services."¹
Akka is offering you complimentary access to this Gartner® report, packed with key insights and practical guidance on:
- Designing resilient cloud-native applications to anticipate and manage potential failures
- Adopting a risk-based approach to effectively prioritize and mitigate common cloud risks
- Using automation and cloud-native features to meet strict recovery and availability needs
Download this report to learn the nine principles you should adopt to improve your organization’s cloud resilience. No email required.

In a recent Gartner survey, participating leaders and managers reported that only 48% of AI proofs of concept (POCs) make it into production, and they take an average of 8.2 months to go from POC to production.
How to Accelerate AI Enablement of Custom Software Applications
8 January 2025. Gartner®
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