Tag

Knowledge Management

All articles tagged with #knowledge management

AI Needs Humans in the Loop to Preserve Workplace Wisdom
technology26 days ago

AI Needs Humans in the Loop to Preserve Workplace Wisdom

A Smartsheet-commissioned global survey finds Gen X (67%), Millennials (66%), and Gen Z (84%) fear AI replacement within five years, and 92% of Gen X say they must gain AI skills to stay relevant. The bigger risk is the loss of institutional knowledge as experienced professionals retire, since AI can misinterpret data and lacks the nuanced judgment built from decades of experience. The answer is a strong human-in-the-loop: teach, debug, and customize AI with knowledge graphs and governance so AI outputs reflect context and support decision-making rather than replace humans.

Humans in the Loop Are the Secret to Making AI Work
technology29 days ago

Humans in the Loop Are the Secret to Making AI Work

As experienced professionals retire, organizations risk losing tacit know-how and judgment. The piece argues AI’s value depends on humans teaching, debugging, and guiding it—through knowledge graphs, governance, and structured knowledge transfer—else they’ll fall into a “deployment trap” where automation fails without human oversight. The message: invest in people and infrastructure to train AI, not replace them.

Maximizing Human Productivity with Generative AI and Secure Browsing
technology2 years ago

Maximizing Human Productivity with Generative AI and Secure Browsing

Companies are exploring the use of generative AI models, such as ChatGPT, to leverage their proprietary knowledge for improved innovation and competitiveness. Training these models from scratch requires massive amounts of high-quality data and computing power, making it a less common approach. Instead, companies can fine-tune existing models or use prompt-tuning to incorporate domain-specific content. Fine-tuning requires less data and computing power, while prompt-tuning is computationally efficient and does not require extensive data. Content curation and governance are crucial to ensure high-quality knowledge, and evaluation strategies are necessary to maintain accuracy. Legal and governance issues surrounding LLM deployments are complex, and companies should involve legal representatives in the creation and governance process. Shaping user behavior and promoting transparency and accountability are essential for successful implementation of generative AI-based knowledge management systems.