|
Enterprise AI deployments are?only as good as the knowledge that feeds them. Knowledge Managers relying on manual KM processes will find themselves unable to keep pace with the demands of AI-powered customer engagement. Knowledge Automation provides the solution?a continuously optimized, trusted knowledge layer powering both human agents and AI.
|
RELATED ARTICLES | | | | |
|
Bloomfire is your governed Enterprise Intelligence layer: infrastructure that sits between your AI applications and your enterprise data. We connect fragmented knowledge pools, enrich your internal knowledge with trusted external sources, continuously clean and curate content, and ensure that AI responses are grounded in verified, up-to-date institutional knowledge with clear citation and context.
|
|
AI's impact on KM strategy is omnipresent and includes recognizing its potential, particularly for enhancing existing knowledgebases and automating existing processes, while acknowledging the critical role of accurate, clean data to which organizations have access. Consider it a two-way street when setting organizational strategies.
|
|
Generative artificial intelligence (genAI) has become a focal point for many organizations over the past year, so it should come as no surprise that the technology is moving into the enterprise mobility space, including unified endpoint management (UEM).
"Generative AI is the latest trend to impact the UEM space," says Andrew Hewitt, principal analyst, Forrester. "This has been the main topic of interest in the last year. We see generative AI having impacts in multiple areas, such as script creation, knowledge-based article creation, NLP [natural language processing]-based querying of endpoint data, and help desk chatbots. All of these are considerations for inclusion within the UEM stack."
To read this article in full, please click here
|
|
