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GNY Launches ML As A Service Tool In AWS Marketplace To Make Businesses AI-Ready

GNY Launches ML As A Service Tool In AWS Marketplace To Make Businesses AI-Ready

GNY ML as a Service

Studies have shown becoming artificial intelligence (AI) ready by 2022 is a major priority for the US companies, many of them fearing that they will lose market share to their competition if they don’t adapt. However, many of them lack the expertise and resources to get there. AI feeds on data, and many companies need to determine exactly what data they should be collecting.

GNY, a decentralised machine learning (ML) platform, has announced the launch of a new software-as-a-service (SaaS) tool designed to allow businesses to check the AI-readiness of their data.

The GNY Data Diagnostic analyses a company’s datasets and detects if the historical data is strong enough for an effective ML, or if weak or inconsistent datasets are skewing the predictions and weakening the business. GNY’s Data Diagnostic team offers everything a business would need to become AI-ready, from education about AI basics and how predictive analytics works, to learning about the company’s data collection practices and offering a tailored solution. The result includes a detailed analysis of the historical data — what needs to be done to support ML, as well as an analysis of the digital architecture’s ability to support the company’s business goals.



The data exploration service is offered as a flat fee service in the AWS Marketplace, and a free consultation will allow the clients to explore the service with no obligation. AWS Marketplace is a digital catalogue with thousands of software listings from independent software vendors that made it easy to find, test, buy, and deploy software that runs on Amazon Web Services.

Cosmas Wong, CEO of GNY, said, “We are excited to make AI available and affordable for small and medium businesses.” Further added, “ML services have only been available to large companies with large budgets. We believe that these services should be available to smaller and medium-sized companies who may be able to leverage the value of their existing datasets.”


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“Properly engaging ML can be a time consuming and an expensive process. Understanding how predictive your current data is will determine how much integrating ML will cost, and what your options are,” said Tom Lorenc, CTO of GNY. “Our AI uses hundreds of ML algorithms to detect complex patterns and correlations, enabling it to provide individually targeted marketing recommendations instantaneously.”

GNY has shown that it can help businesses improve their user engagement by 100% and predicted next-day sales with 75% accuracy.

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