Automation is everywhere. When you hear the word “automation,” you might think of factories building cost-effective robotic assembly lines or e-commerce companies running sophisticated operations in large-scale fulfillment centers.
An entirely separate area of automation called workload automation (WLA) is largely invisible. Retailers use WLA to track and update inventory data for their brick-and-mortar and online stores. Brokerage firms might use WLA to reconcile daily financial transactions before the market opens. In large organizations, WLA is essential for employee payroll, customer invoicing, customer onboarding, employee onboarding, and more. The list is endless.
WLA has been an integral part of core business processes for years, enabling companies to keep operations on schedule, orchestrate complex workflows, and improve audit and compliance through centralized management. WLA is critical to extending enterprise automation that is essential for digital business operations – what can be automated, will be automated.
Introducing artificial intelligence (AI) into the world of automation.
As AI becomes integrated into critical enterprise technology portfolios, the symbiotic relationship between AI and WLA will enable the combined strengths of each to deliver greater business outcomes.
Enterprise flagship products in different colors
Automation tools are common in today’s enterprises. In recent years, many tools have emerged to address new and improved processes: robotic process automation, business process automation, workflow automation, etc. The descriptions of these tools are very similar to those of WLA, but their scope is limited to specific domains and use cases.
WLA has been an essential part of enterprise IT environments since it was developed in the 1970s to manage batch processing, and has now evolved into a solution that orchestrates complex business and IT processes across the diverse ecosystems that define today’s hybrid IT environments.
WLA acts as a “manager of managers” for various automation and orchestration technologies to ensure business processes are orchestrated end-to-end and data is processed with integrity and compliance. It orchestrates and monitors processes involving hundreds or even thousands of task dependencies across mainframes, enterprise resource planning, data pipelines, cloud service providers, and other mission-critical cloud-native and on-premise technologies.
Today, WLA, powered by rapidly evolving AI, can empower your business with exponential power.
WLA Powers GenAI: Compiling Clean, Compliant Data
Machine learning (ML) is an application of AI that uses algorithms to extract knowledge from data, allowing generative AI (GenAI) to mimic how humans learn.
The integrity of an AI system depends on the quality of this underlying data. The saying “garbage in, garbage out” applies directly to ML and AI. Poor training data quickly becomes evident when the AI responds with “hallucinations” and presents inaccurate or misleading data as fact.
Having clean, accurate and reliable training data is crucial: companies can suffer in many ways from poorly trained AI, both internally and in the public eye, reputational damage and financial impact.
In many organizations, information critical to training AI is locked in fragmented, niche or legacy systems scattered across the environment. WLA orchestrates the data pipeline from these siloed technologies, ensuring all ML data is delivered in a trusted, secure and compliant manner.
GenAI Powers WLA: Automation at Scale
GenAI can create a variety of content, including text, images, videos, synthetic data, etc. GenAI combined with WLA gives you the power to put your strategic vision into action and accelerate your innovation efforts.
Translating strategies and new ideas into business outcomes requires the ability to create and manage automated processes, ideally quickly and at scale, to gain and sustain competitive advantage.
To automate at scale and speed, non-expert users need to be able to contribute to automation without needing to know the ins and outs of the automation technology – and that’s when automation can be truly democratized.
As ownership of automated business processes moves closer to functional business areas, these teams depend on the speed and efficiency of their automation platforms. But they often lack the technical skills needed to create and manage automation, and there can be a steep learning curve.
GenAI solves this challenge, guiding users to create automated processes using a natural language interface and taking steps on their behalf based on conversational interactions. Implementing such a system can dramatically reduce time to value, enabling businesses to realize the benefits of innovative ideas that can change their trajectory.
The ability of GenAI technology to scale automation, combined with automation’s role in enhancing GenAI initiatives by orchestrating the supply of clean and compliant data, marks the beginning of a new automation renaissance.
Learn how Through automation Broadcom We help organizations automate critical business processes to increase efficiency and reduce costs.
