SAP Fieldglass VMS: Artificial Intelligence (AI) and Robotic Process Automation (RPA) are Under the Hood

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What is the best thing about the use of AI, ML and RPA in SAP Fieldglass solutions? It’s that users don’t even know it’s there. Instead, these helpful technologies work ‘under the hood’ to make processes smarter and more efficient for users in the most seamless way possible. Here are some useful ways in which SAP Fieldglass leverages AI, ML and RPA:

	RPA:  Reduces manual labor and errors for invoice consolidation SAP Fieldglass solutions leverage RPA technology which is the use of bots to automate repetitive and time-consuming manual tasks. In this case, RPA automatically consolidates invoices, saving users from having to do this task manually. As a result, errors that commonly arise by doing tedious task are eliminated, plus users are given more time to focus on higher-value activities.
	AI:   Generates better insights using O*NET codes AI is used to recommend O*NET codes when a user submits or creates a job template or an SOW role in SAP Fiedglass. What are O*NET codes? They are the United States’ primary source of occupational information, containing hundreds of standardized descriptors for almost 1,000 occupations covering the entire U.S. economy. Using AI, the O*NET codes become important underlying data when analyzing an external workforce program. They help users identify job trends, provide rate guidance, evaluate worker onboarding timelines, and recommend suppliers.
	ML:  Makes it easier to find best-matching candidates In practice, one of the ways hiring managers find a worker is to reference the skillsets or experience of someone they’ve worked with in the past. Taking this concept, SAP Fieldglass uses ML to recommend similar candidates. A reference candidate’s resume is used to identify available workers with similar skills and experience, shortening the time it takes to identify ideal candidates from a large pool.
	Conversational AI:  Helps users with tasks using In-App Assistant In-app Assistant chatbot is currently in beta and helps users navigate SAP Fieldglass solutions, which is particularly useful for new and occasional users. For example, it helps users search for and approve documents, revise worker end dates, and create job postings or statements of work. It uses Conversational AI, specifically Natural Language Processing. Like all forms of artificial intelligence, the In-app Assistant learns and gets more helpful and accurate as responses are given, evaluated, and updated over time.

In each release, more real-life uses for AI, ML and RPA are added, seamlessly making processes even better for users and program managers. For more information about SAP Fieldglass, visit our website.