Google Cloud Collaborates with Orange Cloud to improve AI & Cloud Computing

Google Cloud Collaborates with Orange Cloud to improve AI & Cloud Computing

A few days earlier, Google and Orange announced to the entire world that they are on to a strategic partnership. In this partnership, Google will help Orange to develop its entire IT infrastructure. In addition to that, both of them are looking forward to the development of advanced cloud services in the future. 

The agreement triggers the participation and commitment of Orange for a plan until the year 2025. The strategic agreement and plan will contain internal transformation with the widespread use of Artificial Intelligence. Not only will it accelerate the operational efficiency, but also customer experience too. 

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Google and Orange’s Handy Contribution

According to the agreement, both the tech giants will look forward to each other’s success. Google will provide the tools and software for the improvement of cutting edge Cloud technologies to Orange. Furthermore, it will also deliver world-class analytics, transformation methods, necessary resources, and AI tools. 

Orange will also provide Google with superb and deep expertise in various types of information as well as technical communication services. In addition to that, Orange will provide the multinational network infrastructure. The agreement also states that the first commitment between these two tech giants will increase the pace of transformation. 

The pace will increase for Orange domination in continental Europe delivering important data to Google’s various innovative models. Altogether, the work will help all the customers over Europe by powerful Cloud computing abilities. 

The Cyber Defence 

The works of Google and Orange will be applying value-added analytics as well as additional Cloud services to build a multi-Cloud server. This server will strengthen the defence capabilities against all types of cyberattacks. All the small, medium and large scale business organizations will be able to use the server in order to secure their business. 

Preparation for the Next-Generation Cloud Services 

As the 5G network is near the grasp, the future of Cloud computing services will be much more enhanced and improved. Experts believe that the introduction of Edge computing will also increase the benefits of both the tech giant’s integration network. Gradually, it will also draw more and more customers. 

With the combination of Google and Orange’s power of technology, the service will also provide more flexible, safe and innovative solutions. From business to business and business to customers, everybody will be able to get help. None other than that, all the retail customers will also get fruitful results. 

The Innovation Lab and Center of Excellence 

Google and Orange have agreed with each other that they will create an innovation lab with the center of excellence. These two will trigger and foster innovation and growth of the people. The innovation laboratory will help in the growth of new industry development based on an AI framework with an Edge computing integrated environment. 

The excellence center will deliver the ultimate innovation and support for Google Cloud from Orange and engage in the transformation of the Cloud. Moreover, it will also provide the data training in AI Cloud services for nearly all the Orange employees as well.

Why AI Failed to Protect us from COVID-19 Pandemic?

Why AI Failed to Protect us from COVID-19 Pandemic?

After the outbreak of Coronavirus, affected people, worldwide, are looming here and there for appropriate treatment. For the treatment, in each and every country, all the hospitals and nursing institutions have deployed intelligent machines. Those machines have an AI program to detect the virus and do various types of tests. 

Now, the question arises amongst the people, will these machines with intelligent programs are sufficient to give the right solution? Is the damage to the affected person less or more? Well in such cases, AI has failed to show its high-end expected performance. In order to cure the pandemic, only medicine will work. 

AI’s Key Roles to Avoid the Effect 

In this pandemic situation, AI programs have come up with various innovative and safe ideas. Without further ado, let’s check them out. 

Track Physical Contact 

Following the orders of the Government, in various countries, the technical community has developed an application. People have to download the application and its AI program starts showing the nearby people who can be affected. It also shows the important measures of not making contact physically. Moreover, it also shows how to keep a distance from sick people. 

In general, this is actually the disconnection between the AI domain and human reality. Keeping the ultimate faith in the government, people have downloaded the application. But unfortunately, all of these things have gone in vain. Despite developing AI applications, people got affected on a large scale. 

AI Modelling 

The concept and work of Artificial Intelligence have helped a lot in developing the models. All over the world, people know by the headlines that a particular AI program was successful in detecting the Coronavirus for the first time. It also stated how the virus will spread amongst the people. 

With the presence of the current data, the AI models are not performing up to the mark to throw a positive light. They are now unable to detect the virus in a human body and failed to determine who has the maximum chance to show a positive effect. Right now people’s guesses are turning out to be positive. 

The Testing Process

What’s the big idea about the testing process? Did the AI make it easier for the doctors to analyse a positive test? Technically, the answer is Yes. But, it is not the actual way that one can think of. The programs are not at all worthy of testing a blood sample. And, showing the green light for the positive and red light for negative is not enough. 

The Cure 

Scientists believe that one day, the most advanced AI programs will help in discovering the chemical compounds. But, unfortunately, the best of the best AI programs of today has already failed to invent the COVID vaccine. With the help of Quantum Algorithms, Google has reached Quantum Supremacy. But, there is a big doubt whether this Quantum Algorithms will help in creating chemical discovery in the future or not.

A Perfect Software and Hardware Collaboration to Initiate Advanced AI

A Perfect Software and Hardware Collaboration to Initiate Advanced AI

In this modern digital age, the emergence of Artificial Intelligence is one of the major breakthroughs for science and advancing technology. With the help of the latest AI technology, data scientists and programmers are able to collaborate with the computer software and hardware together. 

Analyzes tell that with this collaboration, the development of the latest technology will become much easier. When people will be using this technology, they will not face any hiccups. In addition to that, they will also be able to personalize the machines for commercial purposes. 

The AI Multiprocessing 

Nowadays, researchers and scientists are busy in producing customized Artificial Intelligence chips for faster processing powers. In addition to that, making good money is also one of their main intentions. 

The world’s most famous and renowned project is the Hydra chip multiprocessor project. A person named Olukotun was the leader and people call him the father of AI multicore processors. 

MNCs Point of View

According to the technology giants, the biggest transition of technology is now in its initiation stage. The first major breakthrough was the internet, and now it is Artificial Intelligence. This technology is really helping a lot in the development of hardware as well as software. 

Most of the computer architectures in recent days are powered by AI for smooth hardware and software integration. 

The Common Issues with Modern Architecture

Scientists and engineers have detected three major issues in modern-day computer architecture. The first one is the crisis of the data center when it comes to power, cost, and sprawl. 

This issue is forcing companies to produce new architecture for data processing. The costing might become very high and the organizations won’t be able to keep up with the pace. The second one is the collection of a huge amount of data. 

But, unfortunately, people are unable to transform those data into information for the value of the business. In such cases, what really happens? The answer is data wastage, nothing else. It is very much easy to say about the transformation but doing it is a humongous task. 

Last but not the least, the companies always try to take advantage of creating such applications that will use the architecture easily. Absolutely these are not the way how architecture works. This is where AI technology comes into being. The set of programs and instructions are there to decide when and how to use the hardware architecture. 

The Ease of Development

The acceleration and development of technology will enable people to accomplish things much more easily and conveniently. In addition to that, the programmers, who created the AI will get their desired coding value. 

So, as technology is proceeding more further, experts say that people must think beyond the level of Artificial Intelligence. This development of technology will only help them do such things which are impossible for them now. 

The Transition of AI in Software and Hardware

All the data scientists and researchers, who are new to the development of AI software and hardware must transit their work. They must perform those types of transitions that the infamous data centers are following for the past few decades. 

The ease of development is all about creating and understanding the value of code faster. This is how the data scientists and the researchers should actually accelerate the development of technology. With the help of it, people will be able to do in the future what they cannot do now. 

What about the Large Datasets?

The problems that the experts face today are nothing but the large datasets. The actual matter of fact is, to make the datasets useful. That is why researchers need to compile the data in order to extract information. Beyond the usage of the compiler, people are wondering how the full data flow software stack looks like. 

Those datasets must be compiled with the help of AI software and programs in order to meet the commercial needs of the people. For that, scientists have to understand the computation procedure and software perspectives in details.