3 Promising Ways to Fix Artificial Intelligence Breakdown Amid COVID-19 Pandemic

3 Promising Ways to Fix Artificial Intelligence Breakdown Amid COVID-19 Pandemic

The interactive programs of Artificial Intelligence are becoming more and more unreliable due to the Coronavirus outbreak. Various multinational companies have suffered a huge loss owing to the current situation. 

The necessary items of daily needs are becoming unavailable, thus affecting the logistics. Because these logistics are built with complicated AI algorithms. 

The algorithms generally update and replenish the stock and predict the needs of the common people. But, in this crisis, the algorithms fail in the prediction, as the demand for daily life goods is much higher than anyone has imagined. It has changed the common people’s daily life completely. 

Algorithms in Daily Life

AI algorithms always help the common people in their daily life. Starting from mail inboxes, money transfers, and social media, it has become a vital part. The integrated AI programs tackle the money launderers, hackers, and help people to protect their vital information. Not only it helps all the large scale business owners to trade but also protects their money during the process of transfer. 

The outbreak of this silent killer has taught people that they are too weak to handle such situations in the future, too. But on the other hand, the advancement of technology is also taking place. As the automation system is becoming fragile, tech experts are in the process of advancing them to avoid widespread disruptions. 

What are the exact reasons behind this failure?

The process of Artificial Intelligence and Machine Learning is actually the behaviour of following and exploiting various patterns. These patterns are interrelated with large sets of data. When the programmed algorithms are trained on huge data sets, the patterns help them to create predictions. 

In addition to that, it also makes a forecast of what will happen in the future. Somehow, it doesn’t always work logically. This pandemic situation has made people so needy that the algorithm’s prediction is not matching the preference of the people. This is just because the customers have changed a lot. They just need the essentials, required to meet the day to day need. What the AI algorithms predict doesn’t matter to them anymore. 

For example, when a person wants to eat outside, the AI algorithm asks for his/her taste and shows a collection of food accordingly. But now, fewer people are eating outside and the algorithm is no longer useful for the owner. 

As the customers had to change their habits, the supply chain of a particular business is broken. The old and maximum positive prediction programs have lost their relevance. As a result, the materials in the warehouses are getting depleted, and there is a delay in delivery, too. This same impact has occurred in the case of banks. 

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How to Fix the Issue?

As the AI and ML models are not working up to the mark and unable to satisfy the needs of the current customer, that doesn’t mean they are wrongly programmed. No, absolutely not. 

This happened just because the programs of the AI models are not at all familiar with this kind of situation and features. Now, each and every engineer of the AI platform is fully aware of this. 

  • Understanding the Limits 

Before setting a program, the programmers and engineers have to understand the initial limit of it, before deploying. In addition to that, the engineers must continuously train the programs with the help of new data analysis and scenarios. 

  • Initiate Good and Bad Credits

The AI models must have the concept of good and bad credits to perform in any type of situation. For example, if a machine is accepting any type of application, its AI program will decide which one is good and which one is bad. 

In this pandemic, the maximum number of applications will be a part of bad reports due to extreme needs. So, the programmers must make some necessary changes in the codes and make those aspects acceptable with poor credentials. 

As the situation is forcing people to face devastating consequences in terms of credits, the automated system should have a new set of rules to follow the priorities. This will help the programs to take perfect decisions regarding the credits and reduce high risks. 

  • Upgrade the AI Programs 

The causal structure of the on-going AI programs will not be fruitful for now. That is why the programmers have to upgrade the codes and redefine it. In this rapidly changing world, the upgraded programs will fix all the issues and solve the problems in a realistic way.

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.