"Today's employees struggle with information overload, and constant change makes it's difficult to maintain reliable sources of truth. This makes it hard for employees to do their work and stay engaged," says
Kathy Krumpe, COO of Future State, a communications consultancy and Simpplr customer. "We're excited about how Simpplr's Auto-Governance Engine will help us keep content up to date with reduced effort."
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How the Auto-Governance Engine works: The platform provides a variety of backend technologies to evaluate what content gets consumed and what becomes stale over time. The engine checks for content redundancies, monitors usage, incorporates search data, and allows content authors to set archiving parameters to help surface potentially outdated content to administrators. Simpplr spent over a year with customers in beta environments evaluating how content gets consumed and how
machine learning can help reduce stale content.
"Like most software industries, machine learning and
artificial intelligence show a lot of promise for innovation in our space, but it's important first to understand what problems need solving," says
Dhiraj Sharma, founder, and CEO of Simpplr. "We've created an engine using AI on the backend to help keep intranet content up to date."
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Source – PR Newswire
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