Overview & Vision
With a plethora of innovative technological developments continuously expanding the horizon of what is humanly and technologically possible in many areas, it truly is an exciting time to be alive, and an even more exciting time to be a tech pioneer; advancements in areas such as blockchain, artificial intelligence and IoT wield the power to both disrupt existing traditional industries and pioneer many previously unattainable technological advancements which could have profound benefits to our daily personal and corporate lives- and even on the very mechanics of our human experience. This situation presents an opportunity for innovative tech companies and blockchain projects who have the industry expertise and foresight to hone in and capitalise on a disruption-worthy or promisingly budding niche at an early stage.
DeepCloud AI is a notably impressive example of these technological pioneers, in this case targeting the gargantuan cloud computing industry; having identified edge computing for IoT and decentralised peer-to-peer applications as a glaringly promising gap in the current market, and ideal primary entry point into a niche ripe for disruption, DeepCloud AI are actively building their dynamic decentralised cloud computing ecosystem. This is to be achieved by employing a community-driven, tech-focused operational model. The notably experienced team are demonstrating an impressive fusion of tech savvy and business acumen, with an active focus on meaningful partnerships combined with relentless technological development.
DeepCloud AI’s operational mechanics incorporate the use of artificial intelligence and blockchain technology at a core level, in order to provide each element of the ecosystem’s community with an optimally beneficial experience as they utilise DeepCloud AI’s platform for their respective means- from computational resource providers to dApp developers and beyond. Spearheaded by industry veterans, DeepCloud AI’s mission is clear: to democratise and advance cloud computing through their innovative tech and community-driven operational model.
DeepCloud AI's platform services, taken from the whitepaper: https://www.deepcloudai.com/paper/Whitepaper_DeepCloud_AI_Version1_00_ENG.pdf
These may on the surface sound like grand concepts, and there are lots of vague buzzwords involved- largely reflecting the projects multi-level innovative approach to cloud computing. We are therefore going to systematically unpack DeepCloud AI in order to effectively establish its real-world potential.
Current Industry Situation: A Recipe for Disruption
The gargantuan cloud computing industry is set on an accelerating trajectory, and its widening adoption scope is presenting ample opportunity for innovative disruption. Though dominated by a handful of industry giants (including Amazon Web Services, Microsoft Azure and Google Cloud), the cloud computing sector is hugely vast, holding a plethora of industry applications and use cases which are only expanding as technology in many fields advances.
As a result of the continuous advancements in blockchain technology, 2018 has seen decentralised cloud computing become a dominant technological trend, with new market players emerging to meet specific demands involving peer-to-peer cloud networks. Examples include: Golem, whose initial focus and only currently supported use case is graphics rendering; SONM, which is a non-niche specific general-purpose cloud with vague plans to develop a marketplace but no such developments on that front as of yet; and the iExec cloud marketplace for dApps, which lacks desirable operational elements such as masternodes and AI-calculated fair incentivisation.
This landscape leaves one particular sector of cloud computing still not yet effectively catered for by existing solutions- edge computing for decentralised peer-to-peer and IoT applications. Current decentralised solutions are not built to serve this specific niche, and traditional centralised cloud computing infrastructures are unsuitable for these use cases, as they require heavy computational resources close to the edge(close proximity to the data collection point) for the efficient processing of relatively vast amounts of data generated by edge devices. Similarly, microtransactions on existing payment gateways, alongside prominent blockchains such as Bitcoin and Ethereum, are too costly for IoT use cases.
Further, from the perspective of developers, creating dApps is a currently cumbersome and complicated process- with little in the way of useful developer assistance or tools, let alone application components or templates.
Regardless of the lack of effective widespread solutions, edge computing is becoming increasingly required as IoT devices are becoming laced with AI at a staggering rate- a trajectory set to accelerate as the two technologies continue to advance.
DeepCloud AI’s Solution: A Mutually Beneficial Cloud Platform
We will not dive too deep into the project’s technical details here, sufficiently doing so would require its own dedicated article (which may potentially materialise in the near future), but we are going to outline DeepCloud AI’s platform fundamentals and synthesise the elementswhich comprise the wider ecosystem.
Essentially, DeepCloud AI are systematically overlapping the realms of cloud computing and the P2P sharing economy, and infusing the resulting solution with blockchain and AI-based security and functionality. The result is the construction of a reliably self-sustaining and dynamically evolving decentralised cloud computing ecosystem, and a platform which is able to offer cheaper, faster and richer operational functionalities than traditional centralised solutions.
This approach wields huge disruptive potential for a variety of industries, but especially stands to benefit those which require low latency in order to function optimally. Notably promising use cases include: decentralised applications; solutions for IoT devices; AR and VR solutions.
Use case examples of DeepCloud AI's decentralised clous computing solution
Community-Powered Ecosystem
DeepCloud AI specialise in providing resources at the edge, alongside a plethora of developer tools and a cutting-edge marketplace, through an innovative model of mutually incentivised community participation.
A platform user’s network experience is centred around DeepCloud AI’s two-sided marketplace; this is the hub at which computational resources can be sold and purchased, as can pre-validated developer-made apps and app components. Resource providers (both individuals and businesses) are able to now effectively monetise their spare computing resources whilst helping developers, who themselves can seamlessly utilise these resources for building their application, whilst enjoying access to DeepCloud AI’s innovative feature-rich marketplace and the operational benefits that it brings.
Enterprises with relevant use cases are inherently incentivised to onboard with DeepCloud AI and take advantage of their network of local resources, in order to increase the computational speed of their operations and overcome traditional issues regarding latency. Importantly for the acceleration of developer adoption, the DeepCloud AI platform is ‘reverse compatible’, meaning that traditional centralised applications can seamlessly integrate into the network as they currently exist, and can gradually transition to blockchain at a pace that suits their specific operational needs.
DeepCloud platform elements, taken from the whitepaper: https://www.deepcloudai.com/paper/Whitepaper_DeepCloud_AI_Version1_00_ENG.pdf
AI Matching Engine
DeepCloud AI’s implementation of artificial intelligence from the very beginnings of their journey has meant the ability to integrate AI as a valuable foundational element of the network. The network’s AI matching engine evaluates the specific attributes of each resource-contributing machine in the network, allocating resources to optimally service the needs of the applications running on DeepCloud AI’s platform. A binary will run on each resource provider’s machine, collecting vital data (such as proximity, available network bandwidth and machine behaviour) which is then sent to the AI matching engine where the specific requirements of network applications are evaluated, and resources are intelligently assigned based on these parameters to maximise network performance.
From a broader perspective, by embracing the innovative potential of the emerging field of AI at this early stage in its own development, DeepCloud AI will able to capitalise on their pre-established industry foothold as AI becomes more necessary and commonplace within technological advancements.
Why Blockchain?
Microtransactions are the main use case of blockchain within the DeepCloud AI ecosystem; transactions within the network are an intrinsic part of its operational model, and therefore need to be seamless, efficient, and deeply integrated into the platform. DEEP tokens, therefore, will be the universal mechanism of network value transfer when trading computational resources and when making additional purchases, or sales, within the marketplace. Costs and rewards are intelligently determined by the network’s AI controller, providing a truly fair network incentive structure.
This blockchain-based economic structure is an integral part of DeepCloud AI’s decentralised solution, which helps to foster an active, happy, and thriving multi-faceted decentralised ecosystem.
Team Overview: The Innovators Behind DeepCloud AI
As I always say, anybody can write an impressive whitepaper and create a persuasive website; the idea is the easy part, it’s implementing the idea which is difficult. In the Wild West of crypto, ensuring that the team has the experience and capability required is crucial- especially when evaluating a project as tech-heavy and fundamentally grand as this.
In the case of DeepCloud AI, the team is a truly impressive collaboration of industry veterans. Led by pioneer and CEO Max Rye, who wields over 10 years of industry experience managing large teams of enterprise IT networks, the passionate individuals comprising the DeepCloud AI team are each impressively talented and experienced in their own right. CTO Geeta Chauhan is particularly notable, who is pushing DeepCloud AI’s tech forwards utilising her impressive 25 years of experience (including time spent as CTO of Nokia) in building 14 resilient, anti-fragile, large scale distributed platforms with up to 1 billion plus active users, alongside developing countless applications.
DeepCloud AI team snapshot, taken from the website: https://www.deepcloudai.com/
The project’s specifically-selected board of advisors are also actively contributing invaluable expertise and utilising their network connectionsfor the benefit of propelling DeepCloud AI forwards; advisor Hitters Xu (founder and CEO of Nebulas, and historically dominant actor in China’s blockchain industry), for example, is consistently pushing real-world adoption and is facilitating entry into Chinese markets.
Very few projects can boast such combined team experience and valuable connections; this advantage, combined with DeepCloud AI’s value-focused partner adoption strategy, is aiding massively in propelling their rate of real-world adoption and meaningful development.
Partners & Expansion Strategy: A Value-Focused Approach
DeepCloud AI is focused on employing network growth methods geared explicitly towards active integration and real-world development; working closely with enterprises and institutions to foster and build truly valuable partnerships is a key emphasis of the team from the very start- there’s zero fluff when it comes to the project’s impressive partner line-up.
Currently, DeepCloud AI have 18 established enterprise partnerships- ranging from CGI companies in Hollywood to giants such as TV Azteca, one of Mexico and Latin America’s largest television channels. The main acquisition incentive for enterprises to make the switch from traditional cloud computing services is the plethora of benefits provided by DeepCloud AI’s innovative platform; those with relevant use cases are inherently incentivised to onboard and take advantage of local resources, thus increasing computational speed and solving the issue of latency. For instance, TV Azteca routinely utilises DeepCloud AI’s specialised services as part of their operational model. Additionally, the launching of tiered services developed by the DeepCloud AI team- such as the recently launched DeepTransfer file sharing service- enable the effective earning of enterprises’ trust, which is key to establishing long-term valuable industry relationships.
DeepCloud AI's current enterprise partners, taken from the website: https://www.deepcloudai.com/
DeepCloud AI also pursues valuable partnerships with relevant institutions for the purposes of research and development; a partnership with the University of Singapore was recently agreed, for example, which will entail a professor and team of research assistants assessing the latency issues faced by VR and AR-based games in relation to how DeepCloud AI’s platform can actively provide real-world solutions. In addition, the university team will also be working to build apps on the DeepCloud AI fabric.
DeepCloud AI's platform has been designed with operational scale and active development explicitly in mind.
Verdict & Summary
DeepCloud AI is clearly one of those rare spectacles only occasionally spotted in the blockchain space: a project which is heavy on genuine innovation, yet light on hype. Though still at the beginnings of their revolutionary journey, the technical implementation and operational model of DeepCloud AI harness the potential to not only capitalise on and revolutionise an exponentially growing gap in the cloud computing market, but also demonstrate the implementation of an advanced model of P2P sharing- enabling optimal mutual community benefit and advanced operational functionalities through the use of blockchain and AI.
DeepCloud AI specialise in effectively providing resources at the edge, alongside a plethora of developer tools and a cutting-edge marketplace, through an innovative model of mutually incentivised community participation. The platform’s blockchain-based economic structure is an integral part of DeepCloud AI’s decentralised solution, which helps to foster an active, happy, and thriving multi-faceted decentralised ecosystem. The ecosystem’s AI matching engine optimally allocates network resources to the needs of platform users, in order to facilitate optimal running of the network.
Though the technology being developed is impressive, it’s the synthesis of this tech-based advancement alongside systematic value-based adoption strategies which is particularly commendable. The team at DeepCloud AI clearly understand the value of active networking, meaningful partnerships and continuous real-world development of their solution, and are consistently making impressive progress on this front.
I will be following DeepCloud AI closely on their exciting journey to democratise the cloud computing space.
Have any questions relating to DeepCloud AI? Join their active community on Telegram where you can discuss anything DeepCloud AI -related: https://t.me/deepcloud_ai
DeepCloud AI whitepaper, if you want to dig in deeper: https://www.deepcloudai.com/paper/Whitepaper_DeepCloud_AI_Version1_00_ENG.pdf
Get connected to DeepCloud AI on social media:
Twitter: https://twitter.com/DeepCloud_AI
Author : Cing ciripit
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