We operate in a hybrid, multi-cloud environment with fragmented teams and tools, and the complexity is only expected to grow. Relying on isolated automated processes will amplify inefficiencies and isn't sustainable.
Business and application teams require the flexibility of self-managed automated processes with access to the best practices of workload teams. Self-service improves time to value, but leads to more automation tools and more complexity.
If enterprises want to realize the promise of digital transformation and remain competitive, workload automation needs to scale at the speed of modernization in a sustainable way—and modern solutions need to empower teams to automate more. One way organizations will do this is through GenAI.
HARVARD BUSINESS REVIEW: AI is Impacting Everything, including Workload Automation Read Article >
Insights from a survey of over 500 automation professionals shed light on the real cost of fragmented automation solutions – and the opportunity for a more modern approach.
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Orchestrate automated processing across hybrid cloud environments.
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Gain actionable insights and predictions across islands of automation to improve business outcomes.
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Accelerate big data and AI initiatives by integrating data sources, streamlining data flows, and making data trustworthy and actionable.
WEBINAR: Data Pipeline Orchestration in the Cloud
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Modernize ERP platforms like SAP and Oracle while achieving end-to-end business process orchestration.
BLOG POST: Maximizing Your ERP Investment with Automic Automation
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Investing in a state-of-the-art automation platform is a strategic step that acts as a catalyst for establishing automation excellence that propels the business forward.
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Is your automation platform built for the future while meeting today's needs? Automic SaaS optimizes cost of ownership while seamlessly managing workloads and orchestrating workflows across mainframes, ERPs, data systems, applications, and the cloud.
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Consider whether your organization’s workload automation is aligned with strategic priorities and identify opportunities to streamline and advance automation.
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