How Composability and AI are Reshaping the Business Landscape
Ali Akhtar
Practice Head
December 17, 2024
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The ever-expanding nature of AI presents avenues for greater intelligence, insights, and automation. To capitalize on this, contemporary organizations need a scalable AI strategy based on trusted data with secure and stable integrations. This adaptability hinges on composability, allowing organizations to integrate and take advantage of AI improvements without excessive effort. What, then, is composability, and why should something integral to successful AI have something wordy associated with it? Now, let’s see how composability can enable organizations to thrive in an accelerating AI ecosystem.
What is composability?
Composability refers to the ability to design modular, reusable components that can be quickly combined to deliver innovative customer experiences or business solutions. It is central to the concept of a composable enterprise, where organizations can adapt and innovate rapidly by leveraging a mix of pre-built and custom components.
This approach integrates various systems and data sources using APIs, automation, and other tools to build a flexible, scalable architecture. Composability reduces complexity and fosters agility by breaking monolithic systems into manageable, interconnected modules. It means reusing what’s already built, eliminating the need to start from scratch. This improves efficiency, allowing organizations to streamline development processes and avoid repeatedly building the same functionalities.
The Evolution of AI
AI’s development can be understood through four distinct waves: predictive, generative, autonomous agents, and artificial general intelligence (AGI). Each wave represents an advanced stage of AI capabilities and requires reduced human intervention.
The Four Waves of AI Development:
- Predictive AI: The first wave centers on forecasting outcomes using data. At this stage, human involvement is crucial for analyzing and interpreting predictions, ensuring that insights are applied effectively.
- Generative AI: The second wave introduces AI that can create content or generate responses, reducing the human input required in the creation process. This stage marks a significant shift towards automation in creative tasks.
- Autonomous Agents: In the third wave, AI systems evolve to act independently, performing tasks without requiring constant human oversight. These systems execute actions autonomously, diminishing the need for direct human intervention.
- Artificial General Intelligence (AGI): The final wave represents the pinnacle of AI development, where systems operate almost entirely independently. AGI systems can learn, adapt, and apply their capabilities across various tasks and environments with minimal human input.
Critical Distinctions Between the Waves
The primary difference across these waves lies in the level of human involvement needed to achieve desired outcomes. While Predictive AI relies heavily on human input for guidance and application, AGI functions relatively independently.
The Role of Composability in AI Development
As AI systems progress and require less human intervention, they demand more sophisticated training encompassing best practices, anomaly detection, and domain expertise. This advancement allows them to build on existing skills and apply these capabilities across various tasks without starting from scratch.
This ability to reuse and extend previously developed skills embodies the essence of composability in AI, enabling more efficient and scalable application of AI capabilities across domains.
Three Ways Composability Helps Users Adapt to New AI Waves
Composability enables organizations to build flexible, modular architectures that can quickly adapt to the evolving capabilities of AI. Developers can efficiently create and scale new features and services by leveraging APIs as foundational building blocks. Here’s how composability drives AI adoption:
This ability to reuse and extend previously developed skills embodies the essence of composability in AI, enabling more efficient and scalable application of AI capabilities across domains.
Compose Human Skills into Reusable Actions
Organizations can enhance their AI systems by teaching them to replicate tasks humans can perform, including understanding processes, detecting anomalies, and ensuring security. To succeed in AI transformation, it is critical to provide AI with comprehensive knowledge of processes and the ability to operate across systems and architectures.
By embedding these human skills into reusable components, organizations can upskill their AI to handle tasks across various applications while ensuring efficiency and consistency.
Implement Custom Actions Using an AI Skills Framework
Humans excel at managing complex systems with legacy architectures, unstructured data, and external partners. However, these environments often need to be more suitable for AI. Composability simplifies this challenge by creating reusable components—akin to “Lego bricks”—that can be assembled in different ways to perform tasks at the system or application level.
A composable framework integrates several key elements:
- Salesforce Data Cloud for a robust data foundation.
- Agentforce for a generative AI framework with a conversational user interface.
- MuleSoft’s Anypoint Platform for connectivity and integration.
Robotic process automation (RPA) and intelligent document processing (IDP) also streamline repetitive tasks such as incident reporting, refunds, and customer communication. This reduces the burden on human workers and improves operational efficiency.
Package Reusable Actions as APIs
After creating reusable actions, these can be packaged as APIs and shared in environments like Anypoint Exchange. This marketplace enables multiple AI agents or human engineers to use APIs to access and upskill AI systems. Organizations can continuously enhance their AI capabilities by leveraging these shared, modular skills to perform diverse tasks.
Preparing for AI with MuleSoft
MuleSoft’s platform empowers organizations to design composable architectures that are ready to embrace the next wave of AI. By following composability best practices, teams can maximize the impact of AI and scale it across their operations.
How Royal Cyber can assist ?
Royal Cyber makes sure that ventures in new technology will be durable, making it a reality by constructing your organization with the components of composability with AI. Your business may quickly embrace digital transformation with the help of Royal Cyber’s expertise in Artificial Intelligence.
Our services are supplied using cutting-edge methodologies, technologies, and products that can hasten the adoption of Composability which enables AI, and they are tailored to the demands of our clients. We have an expert team who can assist our clients in creating an integration platform that is future-proof. Get in touch with our specialists to get started on your journey toward digital transformation, which is currently a reality. For more information, you can email us at [email protected] or visit www.royalcyber.com.
Author
Benjamin Samson
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