AI for Software Developers: a Future or a New Reality?

AI for Software Developers

All who have accomplished great things have had a great aim, have fixed their gaze on a goal which was high, one which sometimes seemed impossible.” — Orison Swett Marden

Artificial Intelligence (AI), at its highest, is a machine that can be a substitute for a human, making independent decisions and choices. But, that is far into the future. Not to mention, the debate of whether robots will attack us or not, if given sentience. For now, AI is, basically, a machine that works and reacts like humans, programmed in such a manner that it can solve ingenious problems and can deliver results quickly, without assistance from humans.

AI is constantly influencing the choices made by R&D Departments across the globe. Many businesses are adapting and adding AI-formed software to their technology, for the sake of advancement. AI enables an unprecedented ability to analyze enormous data sets and computationally discover complex relationships and patterns, primed to transform the scientific research process, unlearning the new golden age of scientific discovery in the coming years, for example- Industries.

For Example – AI has become a substantial part of the Healthcare Sector. AI applications are used in Healthcare Industry, to build intricate machines to detect diseases, and chronic conditions, as well as identify cancer cells.

How AI Will Transform Software Development ?

Artificial Intelligence has already become an irreplaceable part of our life. An indisputable fact, as every house has a virtual assistant and every individual, above age 10, owns a mobile phone, containing speech & face recognition software. Both are prime examples of AI, along with some others.

The future of infrastructure management companies depends on how well they adapt AI to their industry. Artificial Intelligence offers a lot of opportunities for advancements, able to provide aid in various aspects: Detecting Errors in Cyber-Security, Predicting and Preventing Failure, Analyzing Core Reasons of Software, Autonomous Mitigation, Saves Money on Human Resouces, Reduces Dependency on Humans, etc.

Most of the famous AI Examples you hear today are an AI defeating a Chessmaster in chess or AI making self-driving cars possible. But that is not all, AI has been instrumental in the creation of Navigation apps, recommendation engines, search engines, etc.

Navigation applications

Navigation applications such as Google Maps use AI to evaluate the speed of movement of traffic. It also analyzes user-reported events, such as traffic accidents or road construction, to estimate how long it will take you to get to your location and recommend the quickest route.

Search Engines are enabled by AI, based on your search history, and personalized to you to present you with items that the algorithms believe you will value.

Banking and Finance business

In the banking and finance business, artificial intelligence is a hot topic. AI influences the banking business, from fraud detection to customer service and investing. Automated emails from banks out of the ordinary transaction are an example of the use of AI.

Relying rather heavily on Natural Language Generation & Processing and Machine Learning created Digital Voice Assistant, categorically, Deep Learning, and Natural Language Processing made it possible for AI to learn and adapt to their surrounding, for it to not repeat past mistakes.

Deep Machine Learning

Deep Learning was developed based on our understanding of neural networks. It is a subset of machine learning that uses artificial neural networks to mimic the learning process of the human brain. Machine Learning is AI that can automatically adapt with minimal human interference. Both are parts of Artificial Intelligence.

Natural Language Processing

Natural Language Processing (NLP) is another branch of machine learning that deals with how machines can understand human language. You can find this type of machine learning with technologies like virtual assistants (Siri, Alexa, and Google Assist), business chatbots, and speech recognition software, while Natural Language Generation is a subset of artificial intelligence that takes data and transforms it into language that sounds natural as if a human was writing or speaking the content.

Conclusion

Artificial Intelligence (AI)  Improves Software Development process, thanks to the continuous increase in data available to machine learning algorithms. This allows Artificial Intelligence to function more effectively because trained ML models may be molded to work better with users’ wide array of real data. The aforementioned are a few of the greatest examples of AI in everyday life that are ubiquitous and simplify the vast majority of our daily lives.

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