For many companies AI is high risk, high cost and uncertain ROI. We are going to market as an Intelligence Exchange in which we offer our members artificial intelligence solutions at low cost and the ability to rapidly test, trust and deploy solutions. Think of us as a 'membership warehouse' for AI.
Solutions have a life-cycle. They are born, grow and then deteriorate. There is need for continuous testing, optimization and evaluation. Most businesses are not able to support continuous trial and optimization.
Businesses seeking new revenue streams are looking for ways of monetizing their analytic assets. Marketplace functions enable businesses to create, market, and manage the sale of solutions to business vendors, partners, and customers to drive loyalty, stickiness, and grow revenue.
Cooperatives and federated learning
Sparse data, high cloud computing costs, and challenges to accuracy and impact create high risks for businesses to implement AI strategy independently. Cooperative development and federated learning creates cost-effective, high accuracy, low risk solutions for businesses who seek to manage risk and maximize impact.
Improving ecosystem coordination and efficiency requires businesses to provide ground truth and common view of intelligence, activation and optimization opportunities. Sharing functions that enable services to be shared without sharing data is a key factor in driving transformation.