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With that as the backbone, such tools as process mining, roboticprocessautomation (RPA), and AI can help to rapidly drive value. By following the most effective steps to actionable process transformation, organizations can get the best results from their process improvement framework and chart a path to maximum value.
IBM puts it simply: “Automation is a term for technology applications where human input is minimized.”. From a 2023 business perspective, this can involve implementing AI (Artificial Intelligence) to apply rules, logic, and machine learning, or RPA (RoboticProcessAutomation) with basic programming of repetitive tasks and transactions.
Implementing AI-powered Language Models (LLMs) such as ChatGPT, Bard, and others can streamline data summaries, expediting decision-making processes across various domains. Additionally, integrating backend engines with Cloud platforms via APIs facilitates smoother data migration and integration. Later, focus on continuous improvement.
Implementing AI-powered Language Models (LLMs) such as ChatGPT, Bard, and others can streamline data summaries, expediting decision-making processes across various domains. Additionally, integrating backend engines with Cloud platforms via APIs facilitates smoother data migration and integration. Later, focus on continuous improvement.
Implementing AI-powered Language Models (LLMs) such as ChatGPT, Bard, and others can streamline data summaries, expediting decision-making processes across various domains. Additionally, integrating backend engines with Cloud platforms via APIs facilitates smoother data migration and integration. Later, focus on continuous improvement.
Implementing AI-powered Language Models (LLMs) such as ChatGPT, Bard, and others can streamline data summaries, expediting decision-making processes across various domains. Additionally, integrating backend engines with Cloud platforms via APIs facilitates smoother data migration and integration. Later, focus on continuous improvement.
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