A group of data, technology, digital services and other organizations launched Tuesday the
AI Global market.
The market is, in essence, a store of artificial intelligence applications. It will host more than 2,000 high-value AI assets focused on customer engagement and process intelligence issues for the banking, insurance, healthcare and consumer markets. digital commerce.
The introductory group includes CognitiveScale, HyperGiant, IEEE, the USAA, the Saxena Foundation, the Honorable Society of the Inner Temple, and the University of Texas at Austin.
AI Global Marketplace software assets will be based on the beta version of an open interface:
Language modeling and execution of cognitive agent, or CAMEL.
Users can log in, as well as download and enrich their own AI data, models and skills in the AI market. They will be paid if another person or company uses their app.
Future AI Global Marketplace projects include blockchain mechanisms to secure data ownership, and a new micropayment market based on digital tokens that will help transfer, buy and sell data, models , skills and agents a B2B AI economy.
The chances of success for the market are "very good," said Rob Enderle, senior analyst at Enderle Group.
"Customer support gives him legs," he told the E-Commerce Times.
The CAMEL specification
CAMEL is a standard specification, platform and agnostic language – the Open Cognitive Skills (OCS) specification that describes the composition and orchestration of skills, data, and machine learning models to define and execute a cognitive agent used to increase the human. intelligence.
It relies on standards such as the Open Neural Network Exchange (ONNX) to represent the deep learning models that can be transferred between networks. Facebook and Microsoft jointly launched ONNX last year.
CAMEL aims to align with IEEE 7000 standards to address ethical concerns when designing the system.
has been released as a family of open specifications.
"I see two worthwhile goals in the AI Global Marketplace announcement," said Doug Henschen, a senior analyst at Constellation Research.
One is "the need to ensure responsible and transparent decision making", he told the E-Commerce Times, and the other is "the need to create code blocks, templates and reusable data, development of scalable machine learning and deep learning development. "
Both are "laudable goals, but I think the second role of the market is unique, and that AI Global Marketplace could create a lot of value," Henschen said.
At present, the market appears to be at the conceptual stages of development – there is no indication that the high-value AI assets under consideration are still available.
IEEE 7000 is an ongoing project and specifications are under development.
CAMEL's alignment with IEEE 7000 "is probably more of a statement of direction than a statement of fact," said Enderle, "but they plan to be aligned and will likely relegate this aspect at the IEEE rather than developing it internally. "
CAMEL "looks like an impressive platform supported by a significant number of multi-sectoral heavyweights," he noted.
"What helps a lot here, is that this effort is supported by companies that will use the result, not just by companies that build technologies," Enderle said. "Customer-focused efforts like this one tend to attract suppliers like honey makes bears."
Richard Adhikari has been a reporter at ECT News Network since 2008. His fields of intervention are cybersecurity, mobile technologies, CRM, databases, the software development, the central and midrange computer. and the development of applications. He has written and edited for many publications, including Information Week and Computerworld . He is the author of two books on client / server technology.