Embracing Innovation and Adaptation in Enterprise AI

Embracing Innovation and Adaptation in Enterprise AI

In 2024, it's clear that enterprise AI will continue to evolve rapidly. Recently, I watched Gartner's insights on the future of enterprise applications, which outlined pivotal trends that will transform how businesses operate and innovate. Here's a closer look at these trends and what they mean for enterprise AI.

Adaptive Experience: Redefining User Interaction

Adaptive experiences are one of the most exciting trends. CRM and ERP applications have historically lagged behind consumer apps when it comes to user experience. To accomplish simple tasks, we have faced cumbersome interfaces and a high number of clicks.

Imagine a world where all user interactions are based on prompts. Using tools like ChatGPT, this vision envisions interacting with enterprise applications using natural language queries rather than navigation through endless menus. With this adaptive experience, not only is the interface personalized according to user roles, but it also adapts and learns based on individual preferences and needs.

Autonomous Orchestration: The Future of Automation

Automation has long been a cornerstone of enterprise efficiency, but the future holds even more promise. With autonomous orchestration, traditional automation tools are augmented with AI capabilities. In this trend, RPA (Robotic Process Automation) is no longer limited to isolated tasks; it envisions an ecosystem where robots work together in harmony.

Imagine a unified solution that integrates RPA, low-code platforms, and business process automation. This approach streamlines operations and empowers organizations to respond quickly to changes, making their processes more resilient and future-proof.

Embedded Intelligence: Contextual and Insightful

Enterprise applications are also being embedded with intelligence. With embedded intelligence, you don't have to switch between multiple tools to gather data and insights. Making decisions is easier with this context-aware approach.

As an example, the system could provide real-time insight into how your decision might affect supply chain cycles or strategic plans. This "intelligent coach" within your applications ensures that every decision is informed by the latest data, enhancing efficiency and accuracy.

Composable Architecture: Building a Future-Proof Platform

Composable architecture is the final trend, and perhaps the most transformative. Using this concept, you can integrate multiple tools and applications into a cohesive platform that will evolve with your business requirements. Instead of relying on a single vendor for all solutions, businesses can mix and match the best tools available.

Future-proofing your enterprise requires choosing the right platform. It's about finding the right balance between leveraging comprehensive suites from major vendors and incorporating best-of-breed solutions to address specific needs. This strategic approach reduces dependency on a single vendor and enhances innovation.

Embracing the Future

Enterprise AI will be more intelligent, adaptive, and interconnected than ever before as a result of these trends. By embracing these innovations, businesses can unlock new levels of efficiency, agility, and insight.

As a marketing leader in the AI space, I see immense potential in these trends to revolutionize how we approach enterprise applications. If you’re keen to explore these topics further, I highly recommend attending Gartner’s upcoming conference in London this September.

Let’s embrace the future of enterprise AI together and drive our businesses towards success.

#EnterpriseAI #AITrends #FutureOfWork #Automation #DigitalTransformation #ComposableArchitecture #EmbeddedIntelligence #AdaptiveExperience

To view or add a comment, sign in

More articles by Kirsty Mckenzie

Explore topics