en.Wedoany.com Reported - CASA Software is helping South African enterprises accelerate data pipeline construction, simplify complex integration processes, and gain faster business insights by integrating generative AI with Broadcom's Automic Automation platform. Positioned as a leading digital transformation organization in South Africa, the company collaborates with global technology firms like Broadcom to drive AI-powered operations and automation for its clients.
Greg Harrowsmith, Pre-Sales Engineer at CASA Software, stated that as organizations grapple with the continuous growth of data across multiple systems, rapidly transforming information into actionable intelligence has become a key competitive advantage. Automic Automation is an enterprise-grade workload automation and service orchestration platform that coordinates IT workloads, applications, and business processes across on-premises, hybrid, and multi-cloud environments. The platform combines enterprise workload orchestration with generative AI to simplify and accelerate data transformation. Enterprises need trusted data delivered on demand. By integrating intelligent automation with generative AI, Automic Automation helps companies transform data faster, reduce development effort, and respond more flexibly to business needs.
Traditional data transformation relies on complex scripting, manual coding, and ongoing maintenance to integrate, clean, and prepare information for reporting, analytics, and operations. These time-consuming tasks often delay decision-making and limit business agility. Automic Automation is changing this paradigm. Its ASK_AI feature allows users to extract, summarize, restructure, and enrich data using natural language prompts within Automic workflows, reducing the need for complex custom parsing or transformation code. By embedding generative AI directly into enterprise automation workflows, organizations can significantly reduce the time and expertise required to build and maintain data pipelines.
Since generative AI outputs require validation, Automic workflows can process AI-generated results through defined controls, checks, and downstream workflow logic before using them in critical business processes. Harrowsmith noted that in many traditional ETL processes, developers still need to manually write or configure detailed transformation logic. ASK_AI allows users to describe the expected output in natural language, alleviating the burden of custom parsing and transformation. The platform can pass prompts and source data to a configured AI model, which interprets the request and returns the transformed output. Subsequent workflow steps can then validate and process it, enabling organizations to create dynamic, intelligent data pipelines in a short time.
The platform connects with enterprise applications, cloud services, databases, and APIs to orchestrate the complete data journey from extraction to transformation to final delivery, thereby providing high-quality, actionable information to support business decisions. The technology can be applied across multiple business functions, including accelerating financial reporting and regulatory compliance, creating unified customer data to enhance customer experience, improving supply chain visibility and operational efficiency, strengthening IT operations through intelligent analysis and automated remediation workflows, and supporting HR analytics and workforce planning by consolidating employee data.
Beyond simplifying data transformation tasks, Automic Automation also provides a central platform for managing millions of tasks across complex hybrid IT environments. Its integration capabilities, enterprise-grade scalability, and centralized monitoring enable organizations to automate data workflows securely and reliably while reducing operational complexity. The addition of generative AI extends the platform's low-code automation approach, specifically for data transformation tasks, allowing technical teams and governed business users to develop workflows faster and reduce reliance on specialized development resources for repetitive tasks. Harrowsmith concluded that as organizations increasingly depend on timely and trusted data, intelligent automation is becoming a fundamental business capability. By combining orchestration, integration, and AI-driven data transformation, Automic Automation helps enterprises turn disparate data into timely, actionable insights, enhancing operational efficiency, agility, and competitive position.
