Data and MLOps covers the work of preparing data, evaluating models, and operating AI systems. This guide groups Databricks and Snowflake's governed data and AI workspaces with Scale AI and Mercor's work on human expertise, training data, and evaluation.
These are different roles in an AI workflow. Asking questions of business data, building a data pipeline, reviewing model outputs, and gathering expert examples all need clear context. Record which data, instructions, and evaluation conditions were used while keeping the underlying information within its approved access controls.
Databricks provides a governed data and AI workspace. Its Genie family covers business-data questions, assistants configured with trusted data and business context, and coding and data work, all governed by the organization's data permissions.
Source: Databricks
Snowflake combines a governed data platform with tools for building and using AI over enterprise data. Cortex Agents handles requests and tool calls, while current documentation describes the business application as Snowflake CoWork and the coding product as Snowflake CoCo.
Source: Snowflake
Scale AI supplies training and evaluation data and builds AI systems for enterprise and government customers. Scale Labs is its research hub, extending the earlier Safety, Evaluation, and Alignment Lab, with model leaderboards and benchmarks.
Source: Scale AI
Mercor connects people with domain expertise to contract work that trains and evaluates AI systems. Its expert work includes reviewing model outputs, creating examples, and evaluating quality, while its broader business supplies human data and evaluations to organizations.
Source: Mercor
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The group includes Databricks, Snowflake, Scale AI, and Mercor. It spans governed data workspaces, AI application tools, training and evaluation data, and the expert human work used to assess and improve AI systems.
MLOps refers to the practical work around building, evaluating, and operating machine learning systems. This guide uses a broad data and MLOps group; the companies within it do not all offer the same kind of platform or service.
Instructions and permissions are different things. For example, Databricks documents that Genie instructions do not grant access to data, and shared users still need the relevant privileges. Check the platform's data permissions before connecting sources or sharing work.