How Agentic Platforms Will Redefine Enterprise Applications
Aug 24, 2024
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Explore how agentic systems are revolutionizing enterprise applications, boosting productivity and efficiency. Learn about the challenges of fragmented systems and how AI agents can break down silos for better automation. Discover the integration of legacy systems with modern tech through innovative connectors. Delve into the shift towards an open data governance model, emphasizing the importance of a semantic layer. Finally, uncover the rise of agent operations, transforming traditional frameworks into collaborative, adaptable solutions.
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Quick takeaways
The rise of agentic systems in enterprise applications is poised to surpass previous technological shifts by enhancing productivity and automation.
Integrating a harmonized data layer is essential for enabling intelligent agents to operate effectively across fragmented systems, ensuring consistent data governance.
Deep dives
Transformation of Enterprise Applications
Enterprise applications are predicted to undergo a significant transformation with the rise of agentic systems. These systems will fundamentally reshape organizations' approaches to back-end systems, data platforms, and user interfaces. The expected changes are anticipated to be more impactful than previous technological shifts brought about by GUIs, the web, or cloud computing. Companies that adopt these innovations are likely to experience a dramatic increase in productivity, with estimates suggesting that routine business processes could be completed with significantly fewer personnel.
Challenges of Current Application Systems
Today's enterprise applications are characterized by fragmented systems that often limit organizations' visibility into their overall operations. These applications typically serve specific business functions and exist in silos, making it challenging to achieve end-to-end automation across the enterprise. The reliance on bespoke systems has led to an asynchronous process for operationalizing data insights, ultimately falling short of delivering real-time analytics and business intelligence. Bridging the gap between these islands of automation is essential to build a more cohesive and efficient enterprise.
Emergence of Intelligent Agents
The implementation of multiple intelligent agents is seen as a potential solution to the problem of isolated automation systems. These agents can collaborate, learn from existing processes, and operate autonomously to accomplish specified business outcomes, all while retaining human oversight. By communicating in a standardized language, these agents can enhance their effectiveness in tackling complex tasks that span different systems and applications. The next several years will likely witness the emergence of frameworks to orchestrate these agents, facilitating a new paradigm in enterprise process management.
Integration of Data Platforms and Semantic Layers
The data layer is crucial as it serves as the historical source of truth for enterprises, providing context to guide agent activities. Current shifts are moving from a database management system-centric approach towards a metadata-centric model, opening up access for multiple compute engines and improving overall data governance. The integration of a harmonized data layer is needed to establish a consistent definition and governance of data across applications. This integration is critical for the efficiency of agents, as they will rely on a unified data framework to operate effectively and maximize productivity.