Leo Liang, GNY’s Head of Blockchain, has a strong pedigree in blockchain development. Leo was previously senior developer on Asch before the GNY’s Founders sought him out to head up the development of their blockchain. Leo is an expert in JavaScript, Python, MySQL and MongoDB; languages and programs that have aided him in actively developing blockchain technologies (especially side chain technology). His book, “Blockchain Development, Javascript-based public chain and DApp Development” was published by China Machine Press in Mandarin towards the latter part of October 2019.

As a group, GNY’s communications so far have focused a lot on our ML technology, but for the rest of this year the majority of our technical milestones will be focused on blockchain. So with this to the forefront of our mind we caught up with Leo on behalf of the community and dug deep on the blockchains development. …

GNY is the world’s first decentralised machine learning platform. We use blockchain technology to deliver a secure, collaborative platform for machine learning, data capture and analysis.

Our proprietary machine learning technology prepares data for analysis, helps select which algorithms provide the best correlations, predictions, and results, then helps deploy those results to guide future actions. By decentralising machine learning on a blockchain, we are building data environments for better collaboration while providing superior security.

Machine learning technology has been extremely transformative and widely adopted by businesses and state services such as healthcare. However, traditional machine learning technologies require large pools of data to be transferred to, held and processed in a central location, referred to as a data lake. These data lakes often contain sensitive information and are a prime target for cyber fraud. This has caused cybersecurity experts, business owners, and service providers to become progressively more concerned regarding data security. …

According to Forbes, demand for Machine Learning is growing at an astonishing rate, with the large majority of organizations surveyed reporting that they were using or investigating Machine Learning in their operations. This trend is seen across verticals, markets, organization sizes, geographies and public-private boundaries. For all practical purposes, where there is data, there will soon be a need for AI.

But is your business ready for Machine Learning? This question can be intimidating to growing small to mid-sized companies that lack a dedicated data scientist.

To help companies successful (and economically) prepare for Machine Learning, GNY.io has launched a SAAS service on the Amazon Web Service Marketplace. The Data Diagnostic was created to help companies assess the health and readiness of their datasets for Machine Learning. …

MLaaS; Amazon offers it, as does Google, Microsoft, IBM and many other leading tech providers. It is being used throughout industries such as healthcare, finance, retail etc, but what exactly is MLaaS? Let’s take a closer look at this important tool which many believe will have a significant influence on how the world does business going forward.

You have probably heard of SaaS; software as a service, also known as “on-demand software” or “Web-based software”. …

Leo Liang, GNY’s Head of Blockchain, has a strong pedigree in machine learning and blockchain development. He hails from China where AI and Machine learning are already very popular. This popularity is seen especially amongst large companies who have access to massive quantities of data, which shrewdly they seek to turn to their advantage.

Leo is an expert in JavaScript, Python, MySQL and MongoDB; languages and programs that have aided him in actively promoting blockchain technologies (especially side chain technology) right across China. Asch was one of the major projects Leo acted as senior developer on. This was the first Chinese blockchain project that introduced the element of sidechains alongside a blockchain’s mainchain. The project also boasted data fragmentation and parallel processing enabling 1500+ TPS in each single application chain. On Asch one token could be used on multiple chains, and one chain could hold multiple tokens. …

On the 12th and 13th September 2019 GNY’s Chairman of the Board, Peter Davies, was among the two thousand attendees at the second OECD Global Blockchain Policy Forum in Paris. The OECD event was a major coming together of interested parties from governments, academia, NGO’s and the private sector and it offered some fascinating insights into the potential for distributed ledger technologies and some of the political and regulatory challenges that lie ahead. Below are some of Peter’s key take-aways.

1. Investment is big and getting bigger. The European Union’s Joint Research Centre used the Forum to introduce its July 2019 report titled “Blockchain — Now and Tomorrow”. This quantified the rapid growth of investment in blockchain start-ups since 2009. Seriously strong levels of funding began to appear in 2014 with €450 million and rapidly increased to €3.9 billion in 2017, and over €7.4 …

Why blockchain? A very valid and relevant question. One that is often posed to those pioneers attempting to add a currently existing technology to the immutable record of data secured by cryptographic principles known as “The Blockchain”.

To help answer a question such as this it is helpful to look at it from a number of angles. On this occasion we will firstly look to the views of a representative of the GNY.io team, and secondly we discover the views of a representative of the Microsoft team working on researching AI and Machine Learning.

Cosmas Wong, CEO of GNY.io, the first company to decentralize advanced machine learning software across the nodes of a blockchain. …

The Annual CIO Review named GNY.io a top 10 AI service provider again in 2019. CIO Outlook scours the globe for the most innovative technical teams working in retail and e-commerce for their annual review. GNY.io is thrilled to be listed again as one of the 10 AI solution providers in 2019 alongside such great companies as 4R systems, LocateAI, Newmine and others.