- Snowflake and Salesforce launch open semantic exchange
- Salesforce compares the Rosetta stone initiative of commercial data
- AI agents will use more business software than humans by 2030
In recognition to the emergence of the AFFEE and the change of traditional panels and reports, Salesforce and Snowflake have been associated with Blackrock, DBT Labs and Relationali to change things for the better when it comes to collaboration.
Together, the group is launching open semantic interchange (OSI), which Snowflake describes as a neutral framework in the supplier that allows different platforms to speak with each other in the same language.
The launch of OSI occurs when companies fight with the blockages of suppliers, which create silos and limit the potential of AI tools.
The open semantic exchange addresses the supplier blockade
“With the open semantic exchange initiative, we are proud to lead the position along with our partners to resolve a fundamental challenge for AI: the lack of a common semantic standard,” said the product of Christian Kleinerman’s snowflakes.
The key objectives of the initiative are to improve interoperability, reduce complexity and increase the adoption of AI “by standardizing how semantics are defined and exchanged.”
It is also an initiative for resistance to the future in more than one sense: Salesforce cited Accenture investigation that predicts that AI agents will be the main users of business software by 2030, ahead of humans.
“These new intelligent workers are as effective as the data they can access and understand,” said Tableau Products Director Southard Jones.
To support the exchange of bidirectional metadata, the OSI standards the data metric, dimensions, hierarchies and relationships.
The snowflake highlighted the five central principles of OSI: standardization (language and common structure); interoperability (easy exchange between tools); extensibility (adaptable to evolution needs); open source (collaborative development); and specific domain models (to combine data from various sources).
Jones compared the open semantic exchange with the Rosetta stone for commercial data: “When leading the open semantic exchange with snowflake and our partners, we are building the basis of all AI agents and the application of BI: a common semantic frame that preserves the meaning on the platforms.”
