Dive Brief:
- Salesforce bundled AI and data governance tools into two solutions to ease enterprise security concerns, the company said Tuesday.
- The CRM provider’s governance bundle enhances data preparation, configuration and management capabilities, Salesforce said. The tools also alert customers to internal and external anomalies and streamline data retention policies.
- The AI implementation bundle includes employee training tools designed to promote generative AI safety and security, and model customization capabilities, Salesforce said.
Dive Insight:
There’s no enterprise-grade generative AI without governance. These tools and models bring risks that are only magnified by poor practices, pushing CIOs to lay an adequate foundation before rushing into implementation plans.
But executives want certain assurances before green lighting broad adoption.
“The possibilities with AI are vast, but so are the decisions that accompany every aspect of its development and implementation, from data governance to use case testing,” Alice Steinglass, EVP and GM of Salesforce Platform, said in a statement.
CIOs can bridge the leadership gap, as 1 in 5 organizations said no one was responsible for overseeing AI adoption in October, according to an Info-Tech Research Group survey.
Salesforce wants its bundled solutions to level AI entry barriers for companies concerned about safety as they begin testing the technology, Steinglass said. The solutions, which are native to the Einstein 1 Platform, work with Data Cloud and the Einstein Trust Layer.
Other popular enterprise tech providers have embedded governance controls to encourage enterprise adoption. IBM attached a governance toolkit to its multimodal AI platform watsonx in November. SAP expanded its partnership with Collibra to integrate the data company’s AI governance with SAP’s data assets in March.
Clarification: This article has been updated to reflect the bundled solutions are native to the Einstein 1 Platform.
