Poor information quality wastes monetary resources, squanders data's underlying value to the enterprise, and significantly increases risk in the form of regulatory compliance or litigation.
The capacity for machines to understand human language, courtesy of natural language technologies fortified by deep learning, results in limitless enterprise value across use cases and industries. Whether those involve the creation of content, querying it, or acting on it, this combination is the means of making IT infinitely more accessible—and useful—than it's ever been.
Cloud-based KM requires a careful balance of innovation and restraint. The best results ensue when companies combine aggressive adoption of advanced technology with strong central oversight, traditional taxonomy, and flexible implementation to accommodate different parts of the business.
Microsoft Modern Workplace Supportability Engineer Ross Smith compares the potential impact of AI to replace human work to earlier landmark technologies in this clip from the opening keynote at KMWorld 2019.