By 2026, it is predicted that 30% of new applications will use AI to create personalized and adaptive user interfaces. This substantial increase from the current less than 5% is driven by the boundless capabilities of intelligent applications, with benefits like improved customer experiences and improving product stickiness forcing this change.
Intelligent applications’ capabilities
Intelligent applications have the phenomenal capacity to learn from data and user interactions, adapt their responses, and autonomously improve decision-making processes. Generative AI consists of a broader range of applications.
Built in intelligence lets applications grow and improve constantly, setting them apart from traditional applications. The ability to analyze vast datasets, identify patterns, and make informed decisions is one of the most important features of intelligent applications.
Three unbeatable benefits of AI in applications
- Intelligent decision-making: As mentioned above, the first and most important benefit of AI in applications is the ability for a systematic approach to decision-making. These decisions are continuous, contextual, and interconnected. Unlike traditional applications, which rely on predefined rules, intelligent applications can adapt and refine their decision-making processes based on real-time data and changing circumstances.
- Adaptive experiences: AI-driven applications are unbeatable in their user experiences. Through technologies like chatbots and natural language interfaces, these applications create more impressive, interactive and immediate responses to user needs.
- Process augmentation and transformation: AI applications have the potential to automate and improve business processes in ways traditional apps cannot. These applications can analyze workflows, identify bottlenecks, and suggest improvements. They automate repetitive tasks, freeing up human resources for more strategic and creative endeavors.
Drivers of popularity
The integration of intelligence into applications is a nearly unbeatable strategy. Companies can offer distinct selling points that resonate with customers seeking more tailored and efficient solutions.
Adopting intelligent applications almost always leads to cost reduction. Over time, the expenses associated with developing and implementing AI technology have significantly decreased. This cost reduction has made AI accessible to a broader range of players in the market.
As success stories continue to surface, organizations are growing more confident in the potential of AI to deliver positive outcomes. This increased confidence is building the momentum behind AI-enhanced solutions, as businesses strive to make the most of the capabilities of intelligent applications.
What can tech leaders do?
For tech leaders maneuvering through the exciting yet challenging field of intelligent applications, here are some strategic guidelines:
Focus on impactful use cases: Start by identifying well-known, challenging problems that your intelligent application can address effectively. Target areas where AI can make a significant difference.
Develop a strategic decision model: Building intelligent applications demands careful consideration of whether to build capabilities in-house, acquire technology from external sources, or form strategic partnerships. A well-thought-out decision model helps lead to informed choices that align with an organization’s goals.
Assess revenue potential: Assess the value an intelligent application can bring to customers and the unique outcomes it can deliver. Understanding the revenue potential of solutions will guide pricing strategies and revenue generation efforts.
