Throughout the history of man, there has always been the development of a medium that provides through which a major discovery is supported before the actual technology is developed to provide solutions to the problems of the day. For example, the first men discovered fire stones before they discovered fire with which they cooked their foods and warmed their bodies, the jet engine was built before the airplane, rail tracks are always built before the trains are placed on them, the camera was discovered before television, paper before the printing press, the internet was developed before the gazillions of websites, search engines and business platforms and so on. The list is endless. One interesting act to note in all of this is the fact that these “support” discoveries usually have multiple applications alongside their use in developing a major technological breakthrough.

It is no longer news that IoT and decentralized platforms apps are set to reshape the technosphere as we know it. This is, of course, evidenced by the fact that major key players in these industries are already spending quite a lot in trying to further develop both technologies to widen their applications and solve more problems.
To do this, just like every other breakthrough technology before them, they need a support platform that will smoothen their adoption process and make it easier for the everyday user to explore and enjoy. These supporting platforms not only make it easier for the existing technologies to perform much better and more efficiently but also make it easier for others to join in on the scene, thereby, growing the number of participants that in turn bring in their own new ideas and better product of their researches. This creates a kind of economies of scale that both drives down the price of technology and allows for wider adoption and reduces difficulties faced with entrepreneurs and customers alike that want to step into the new world the technology creates for them all.

LET'S TAKE A LOOK AT IoT

Taking a closer look at IOT, which stands for the internet of things. This is a term first coined as far back as 1999, to refer to a platform that allows everyday devices, appliances, and machines to communicate with one another and ease tasks for us by reducing the need for human intervention. For example, one could place motion sensors in their homes and program them to both turns on the home cameras, call the cops as well as send a message to one’s smartphone the moment they detect motion within specified hours.
This part of IoT is fairly common knowledge sure but what a lot of people don’t know is the fact that for the motion sensors to do this, three major components come into play: the device itself that generates the data upon occurrence of the programmed phenomenon, a communication “gateway” or edge device that collects the data, collates it and shares the data with a cloud (something of an offsite data bank that can be accessed by all given permission to do so) for analysis or does so to the localized sector designed to do so and then the platforms that analyze these data and take appropriate action.
The IOT technology is primarily aimed at taking away the time consumed by humans in trying to achieve certain basic tasks and help us focus that time and energy towards propelling human race into the future in other aspects of our lives. The smart cities of the future will no longer be the stuff of sci-fi movies but everyday realities as IOT is adopted more and more widely. With the right architecture in place, very many applications - and hence, benefits - of this technology such as in health care, security, finance, etc. will be ushered into our daily lives to do what technological and scientific discoveries have always strived to do; make human life easier and better.
Now just like every other technology still in its infancy it is plagued with a plethora of challenges that the huge R&D budget allocates by companies that deploy them are trying to find a way to overcome.

One of these is the lack of a cost-effective means of facilitating the microtransactions that IoT devices carry out every day as currently, some transaction fees charged are higher than the transactions being carried out by the IoT devices themselves and this is not fair to be candid. Also, these transactions need to be carried out as smoothly as possible in the least amount of time as these microtransactions shouldn’t have to wait for long while to be confirmed and hence, could lead to loss of essential time. This could be frustrating especially where these transactions are much despite their little value and the customers have to worry more about the time it takes for their device’s transactions to pull through than the actual functioning of the device.
Another task that needs to be taken off the shoulders of the IoT development companies is the need to provide storage and processing power for the local analysis of the data generated. This isn’t inherently wrong but with the long term use of IoT devices and the constant exponential growth of the data generated in them there is need to adopt a smarter and safer way of storing and processing the data being generated that doesn’t involve constant updates of the devices themselves or subscription to cloud computing services that are not only expensive and slow (if the devices are from the servers) due to their centralized nature but are prone to security breaches (which are often times tantamount to user data leaks) or downtimes which could both be very dangerous to the users of such platforms especially if the IoT devices in question are health care or security related. As is evident currently, there is no win for the IoT devices as to process data locally in order to avoid hassles of data centers, they could become overwhelmed in the future if not constantly updated. Also, with use of data centers, the devices have to keep at an optimum bandwidth with which they communicate with the devices depending on their distance away and any disruption of this communication path could render the IoT devices virtually useless.

DEEPCLOUD TO THE RESCUE!

For the IoT apps mentioned above, the struggle for wide-scale adoption is set to be over any time soon with the entry into the scene of a game-changing support medium that is aimed that cutting out a huge chunk of the challenges currently facing the technology. The savior to be, known as the DEEP CLOUD AI platform, is to be a platform built on the blockchain that uses a first of its kind decentralized cloud computing service that is controlled by artificial intelligence. What this means in essence is that the platform uses the free storage space and computing power of a very wide base of computers and servers all over the world known as service providers to form a network that efficiently handles the tasks assigned to it by clients without any fear of encountering the possible threats of downtimes due to overloads that traditional cloud computing services face as a result of the ever-expanding nature of the service provider base as more people participate while attracted by the opportunity to get paid by the platform for the unused storage and processing power that would have been erstwhile virtually useless to them. While doing this, the AI controller also keeps a close watch over the network and reacts in the best way suitable to any changes that could arise and also predicting possible future occurrences based on past happenings on the platform and plans on how to best address them when they do occur.

With DEEPCLOUD AI, the IoT devices can be deployed close to their storage and processing centers as the clients have a say in the location of the computing system to be used to deploy their devices and the optimum specifications to be used in the process of doing so. The AI technology of the platform then assigns the device in question to the nearest service provider close to it than meets the requested requirements. This takes away the need for having heavier bandwidths with which to communicate with cloud servers.
To truly be worthy of its status as a medium for the technology of the future, the DEEP CLOUD AI platform has to be part of the path that leads to the mass adoption of the technology it supports. To do this, not only has DEEP CLOUD AI provided a platform for smoother transactions to be carried, and reducing the stress currently placed on the app developers in finding and funding the right infrastructure with which to deploy their apps, the platform also provides a market place for the sales and purchase of verified components of applications to also take away the pains faced by developers in having to develop the entire platform from the scratch. With all these interventions put in place by the DEEP CLOUD platform, the app developers now spend considerably less time developing their apps as a lot of the unnecessary roadblocks and challenges they have to face are now taken away for them to focus more on the core algorithms of their apps. It’s just like having all the spare parts of the car you want to make constructed for you and all you have to focus on s the design and shape of the car and the modification of the engine built for you to suit your taste. Verily, this is sure to allow for more cars, I mean, apps to be built that is sure to grow the market and availability of a wide range of products which in turn facilitates the mass availability and adoption of the technology with more applications for its use being generated as days go by.

DEEPCLOUD AND THE OTHERS

Just like as happens when there’s a new attractive guy in the class or a new stall close by or even a new player in the game, the other major players in the cloud computing industry, especially “the big three” will most likely not feel threatened initially especially due to their current customer base, infrastructural strength, and marketing power. However, with the increased adoption of the DEEPCLOUD AI by the general populace, aggressive and innovative marketing campaigns, and the growth of its network as more service providers tap into the income earning opportunities it offers, coupled with the other attractive factors like the challenges it turns out to be immune from and its cost-effectiveness, the others will be forced to wake up and pay attention to the realities of the day that. And this is simply that, it’s either they shape up and take care of the problems they currently face (which of course, will involve a lot of heavy spending and lot of time) or hop on the decentralized train that DEEPCLOUD has brought to the station and ride into the future. One very important fact to note here though is that, as the saying goes, “the new broom sweeps clean but the old broom knows the corner.”

Other projects such as Solana, Dfinity, Ankr are beginning to recognize the need for a decentralized approach to cloud computing but apart from a clear advantage of that the DEEPCLOUD artificial intelligence provides in the form of effective assignment of tasks, a closer look under the hood of the other platforms portrays the presence of an easier and yet more effective decentralized cloud computing platform embodied in the DEEPCLOUD fabric.

CONCLUSION

In conclusion, just like every other supporting medium tech, the DEEP CLOUD platform has a variety of applications such as use in the deployment of decentralized apps and use by TV service providers all of which take advantage of the very large resource base of the platform as well as the availability of other advantages it offers like the application component market place, the developer community and the optimum security assured by the platform for all users. This is justification by all and sundry that this platform is set to be a pedestal on which a plethora of revolutionary technologies are launched at a much faster development pace for the benefit of mankind. I’m quite sure it now becomes more agreeable when I say that the DEEP CLOUD AI is surely setting the stage for the future of advanced human technology as we know it, today.

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