Emerging HR Use Cases For Machine Learning And Generative AI

Document search and synthesis

Scores of organizations want to harness generative AI so employees can easily find the most relevant documents through improved search results and summaries. For example, your organization can reduce the time it takes employees to find answers to common HR- and process-related questions. Internal manuals and sites are ... See more

An LLM’s abilities are amplified when combined using emerging agent frameworks like BabyAGI, AutoGPT and ChatArena. These frameworks break down workflows into a series of discrete roles each handled by AI agents, which are given a defined objective and work together to automate a complex task.

Initially, this will take the form of human-AI collabora... See more

Over time, this progression leads to the potential for AI-driven co-pilots for life sciences and healthcare that greatly scale skilled labor or that uplevel less-skilled labor. For example, AI could suggest answers or ideas, allowing trained humans to choose the best ones, curating results and skipping over any wrong answers. This approach integrat... See more

Generative AI is quite good at certain parts of the value chain of knowledge work, but thinks quite differently from humans. Anthropic, a company that focuses on understanding how AI works, has found that humans working side-by-side with expert AI assistants to perform various tasks produce superior performance compared to either the AI or a human

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- The generative AI revolution is swiftly giving rise to a myriad of startups, with an increasing need to categorize them by their function in the AI landscape, including foundational model providers, infrastructure enablers, and application developers.

- Generative AI is transforming industries across the globe, not just in Silicon Valley, with imp... See more

When it comes to identifying where generative AI can make an impact, we dig into challenges that commonly:

• Involve analysis, interpretation, or review of unstructured content (e.g. text) at scale


• Require massive scaling that may be otherwise prohibitive due to limited resources


• Would be challenging for rules-based or traditional ML approaches

Customer empathy makes a comeback. Companies will move beyond the “best gen AI model” rat race by radically transforming everyday consumer and enterprise workflows with a rich and deep pipeline of category-specific capabilities for the long-tail of professional needs. I like how my friend Aaron Levie, founder of Box, recently described these layers... See more