According to the Gartner Hype Cycle, blockchain isn’t going through its best moment.

If Gartner is right, most blockchain technologies are still between five to 10 years away from having any meaningful impact.What is the Gartner Hype Cycle?Enterprise research firm Gartner is well-known for its informative reports and predictions across industries and business verticals.

The company developed the Gartner Hype Cycle in a bid to analyse new technologies and try to distinguish marketing and “hype” from actual use cases and progress.Gartner hype cycleWhen it comes to blockchain technology, as far as the company is concerned, there’s still a long way to go.

In fact, if you check out the cycle above, you’ll see how blockchain was thrust into the public domain and then incessantly hyped by the media using words like ‘immutable’, ‘decentralised’, and ‘secure’.The whole ICO phase took on a life of its own.

In fact, it is sliding into the “trough of disillusionment”.Many blockchain projects are failing to deliverOf course, the multiple scams and mismanaged projects that came out of the ICO craze would eventually lead the regulators to quash it.

However, as we head towards the end of another full year, some of the larger projects and companies are starting to struggle.Clearly, interest in blockchain is waning as many experiments and ideas have failed to come to fruition.

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The industrial sector in the US, driven by high labor costs and the quick time-to-market, has been pushing to enhance production efficiency and lower operation costs, leading to an increase in the use of industrial artificial intelligence (AI) applications, according to a new report from ABI Research.The total installed base of AI-enabled devices in industrial manufacturing will show a compound annual growth rate of nearly 65% through 2024.US manufacturers have been aggressive with the adoption of industrial AI solutions; this has given birth to pure-play AI players in the US and will keep the US as the global leader in industrial AI solutions for some time to come.

Over time, however, China will catch up, as investments are poured into AI and related technologies, says Lian Jye Su, principal analyst at ABI Research.Cloud service providers, smart manufacturing platform vendors, pure-play industrial AI platform and service providers, edge industrial AI gateway and server vendors, and chipset vendors are partnering with each other to bring AI into industrial manufacturing.

Major cloud players, including AWS and Microsoft, have established a wide range of partnerships with industrial AI development platform vendors, software vendors, and system integrators to provide “end-to-end, cloud-to-edge solutions,” according to Su.Using AI-enabled technology, companies are able to improve operational efficiency, reduce materials waste, predict interruptions, take advantage of predictive maintenance, and optimize resource consumption.Additionally, AI algorithms can be used to help anticipate market changes, giving management an advantage by helping them move “from a reactionary/response mindset to a strategic one,” wrote CIO magazine last year.Tokyo Techie Going Hand-in-Hand with Industrial Solutions ProvidersIndustrial artificial intelligence in the United States are more mature than their global peers.

Tokyo Techie is a highly recognized Company with proven solutions in AI development platforms, material synthesis, machine vision, and operational efficiency enhancement, according to the report.

Being vendor agnostic, they can coexist with some well-established industrial solution providers such as ABB, GE, Siemens, and Honeywell, thus lowering upfront cost and reducing the barrier to adoption.Through their partnership with system integrators and regional distributors, this company has also ventured into India.