Linda Ivy-Rosser, Vice President for Forrester, outlines the evolution of business applications and forward thinking predictions of their future.
Topics Include:
- Linda Ivy-Rosser has extensive business applications experience since the 1990s.
- Business applications historically seen as rigid and lethargic.
- 1990s: On-premise software with limited scale and flexibility.
- 2000s: SaaS emergence with Salesforce, AWS, and Azure.
- 2010s: Mobile-first applications focused on accessibility.
- Present: AI-driven applications characterize the "AI economy."
- Purpose of applications evolved from basic to complex capabilities.
- User expectations grew from friendly interfaces to intelligent systems.
- Four agreements: AI-infused, composable, cloud-native, ecosystem-driven.
- AI-infused: 69% consider essential/important in vendor selection.
- Composability expected to grow in importance with API architectures.
- Cloud-native: 79% view as foundation for digital transformation.
- Ecosystem-driven: 68% recognize importance of strategic alliances.
- Challenges: integration, interoperability, data accessibility, user adoption.
- 43% prioritizing cross-functional workflow and data accessibility capabilities.
- Tech convergence recycles as horizontal strategy for software companies.
- Data contextualization crucial for employee adoption of intelligent applications.
- Explainable AI necessary to build trust in recommendations.
- Case study: 83% of operators rejected AI recommendations without explanations.
- Tulip example demonstrated three of four agreements successfully.
- Software giants using strategic alliances as competitive advantage.
- AWS offers comprehensive AI infrastructure, platforms, models, and services.
- Salesforce created ecosystem both within and outside their platform.
- SaaS marketplaces bridge AI model providers and businesses.
- Innovation requires partnerships between software vendors and ISVs.
- Enterprises forming cohorts with startups to solve business challenges.
- Software supply chain transparency increasingly important.
- Government sector slower to adopt cloud and AI technologies.
- Change resistance remains significant challenge for adoption.
- 69% prioritize improving innovation capability over next year.
Participants:
- Linda Ivy-Rosser - Vice President, Enterprise Software, IT services and Digital Transformation Executive Portfolio, Forrester
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