AI Technology: The Future is Now

Have you ever thought why it takes just a couple of seconds for Siri to answer your queries or how Google Maps on your cell phone directs you precisely to your destination? Do you wonder how your Instagram explore feed is filled with celebrity posts, memes, animals and trends that you love?

Well, AI is the answer! 

From creating artificial bots to seamless user experiences to letting driverless cars move freely, Artificial Intelligence stimulates the core cause. Sundar Pichai, the CEO of Alphabet Inc., once quoted, “Artificial Intelligence will have a more profound impact on humanity than fire, electricity and the Internet.” Considering the current global situation, Pichai’s quote seems distant from reality but not a myth. With a boost in AI along with machine learning across the globe,  technology is now optimised to operate on its own.

With this blog, Square Yards will highlight the upcoming Artificial Intelligence trends for the following years. It is expected that these trends will have a profound impact on all sectors of business worldwide.

 Discovering AI Magicians

With an evident acceleration in Artificial Intelligence Technology, the need of the hour is to discover more AI talents. Organisations have now realised the lack of AI experts in their respective workplaces. As the world is adopting new strategies & technology, hiring more people in the AI sector is a must. The employment of professionals in this particular sector was initially a barrier but a major portion of the human workforce have noticeably been found to learn the talent of AI. Hard work can’t be the key to success alone, therefore AI is now expected to contribute in the form of smartwork.

 Assembling Data through AI

Robotic Process Automation (RPA) is a software that is designed to program repetitive tasks in applications. This technology functions by deploying a multitasking software robot which can operate other softwares as well. RPA is among the rapidly growing segment of the software industry, yet it faces only a single obstruction, which is only being able to utilise structured data. Now it’s AI who is expected to step up to resolve this significant issue. With the assistance of machine learning along with natural language processing, AI is expected to organise the unstructured data into a structured form which will eventually lead to providing significant results.

Contributing to Cybersecurity

The harm caused by cyber attacks is much more devastating and sinful than we could ever imagine. In 2021, the monthly hit caused by ransomware was estimated to be around a whopping 102.3 million dollars! Imagine the annual figure- shocking, isn’t it?

Now that technology has been an integral part of human lives, it’s no less than an emergency to control cyber-attacks.

The reason why AI and Machine Learning could play a significant role in clearing this obstruction is because it has the potential to predict upcoming trends by reading patterns that look for oddities. AI holds the capability to stay cautious for every sort of suspicious activity by creating specific algorithms. 2022 will surely be the year when Artificial Intelligence & machine learning will tackle heinous crimes.

AI: Making Augmentation Popular

Talk about data science and AI covering the major aspects of automation along with innovation. As per renowned data engineer Ana Maloberti, organisations are expected to step up to optimise their respective augmented business including development operations. With the assistance of AI, the software development operations can be optimised as per the requirement as the world expects a strong collaborative intelligence. The goal is to break the shell of experimental levels and transform into a completely organised program.

Natural Language Processing

Natural Language Processing is known to top the list of technologies when it comes to artificial intelligence. This technology has a feature that helps in turning human language or words into system codes with the help of applications and effective programs. This kind of technology reduces the need to type and also reduces the screen time of an individual.

An open artificial intelligence recently released a GPT-3 that is known to be the most advanced natural language processor. This GPT-3 involves 175 billion-plus parameters that are required in the process of language. Open artificial intelligence is now working to introduce a new GPT known as the GPT-4 and is assumed to contain about 100 trillion variables. The aim of the introduction of this GPT-4 is to create machines that can help in engaging with individuals for real.

Localised Artificial Intelligence or ML Models

The strength that an AI or ML model brings is not a hidden fact for anyone. It is fed to the systems according to the information provided. The fact that there are various organisations that depend on the ML or AI models for their business to grow, makes it important for individuals to be aware of all the external factors that can harm their desired results. Hence, it is advised to the corporations to keep experimenting with their localised AL or ML models. This is considered important so that organisations get a brief idea about the demographics that an individual is dealing in.

The initial version of this AI or ML model tends to bring in success but as time passes the chances get higher for the difficulties to increase, as there might be chances that the model does not work well when considered for some other scenario. For instance, you may see your AI model working just perfectly for say North Korea but might fail to perform well when looking in the other direction. That’s when localised artificial intelligence comes into play. It helps you adjust the features right and tries to cover the differences in the same model.

 More Job Opportunities in Governance

One of the common problems that your AI model might develop is the problem of biases in algorithms which takes place normally because of the proper governance over the model. Therefore, it is considered a major concern for the year 2022 and the future. It is important to assess your AI or ML models so that the algorithms do not forge biassed decisions which may lead to making unfavourable decisions. If you remember the case with Amazon in the year 2015, where the algorithm was developed against the women staff, you will realise the derogatory impact of unregulated AI Technology. The reason behind this muddled algorithm was that the machine picked according to the data from the resumes that were registered 10 years back. Considering the same information the machine picked only CVs that were registered by men and not women. Similarly, Twitter also registered an issue where their machine only picked the information that was related to wing politicians and news outlets. 

Quantum Artificial Intelligence

Quantum Artificial Intelligence helps in calculating results of algorithms for machine learning that is not easily achievable on your traditional computer. It is true that there has been great progress that artificial intelligence has witnessed for the past few years but there are still technological challenges that pose a hindrance. However, with the help of quantum artificial calculation, the hurdles of achieving the AGI get eliminated.  Artificial intelligence that is associated with quantum intelligence can easily complete analysis in a short span of time. 

Conversational Artificial Intelligence Chatbot

 A conversational chatbot is a technology that has completely transformed the way a conversational Artificial Intelligence chatbot functions and how it has worked for customer satisfaction. This kind of intelligence comprises virtual assistants that work according to the guidelines set in place and tend to also carry a natural conversation as a part of it. This technology does everything from responding to customer queries, resetting users’ passwords and now also understanding the queries made by humans. Therefore, the changes that they have created are completely incomparable.

It has actually managed to replace the agents working as customer support which have landed up in reducing the cost of operational challenges faced by the business on a huge scale.

Apart from this, a conversational artificial intelligence chatbot can develop marketing strategies, give support to the operation team of the organisation, and even read data that has already been installed in order to provide solutions to its customers. According to Comm 100, the chatbots can handle 68.9% of chats. 

The End is the Beginning

All these examples lead to an increase in the management of Chief Artificial Intelligence Officers along with a diverse set of positions in the AI Technology sector. Such governance was established to keep a close check on such situations that resulted in bad decisions in the end. 

AI is associated with skipping boundaries once imagined by mankind. However, this technology must be used with utmost care to create an accountable future.

“The coming era of Artificial Intelligence will not be the era of war, but be the era of deep compassion, non-violence and love.”