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Advantage of Machine Learning & AI for Software Development

Technology and specifically software development is progressing at unimaginable speeds and automation has become a crucial element of this. That is, repetitive tasks which are at present manually performed can be handed over to a system or software application.  This will maintain accuracy of time, volume and quality. Technology is getting more advanced every day and it will be futile to ignore the benefits that Machine Learning and Artificial Intelligence can give to software development.

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Advantages of AI & Machine Learning in Software Development

Artificial Intelligence

Software is the root of any technological advancement in today’s world. It is a set of instructions that tells a system (computer/mobile/android) or a cloud application how to work. The field is vast and has witnessed several innovations in the field of web applications, mobile applications, IoT development, along with cloud computing, among others. Nevertheless, a hidden aspect is the integration of Artificial Intelligence and Machine Learning with every element of technology.

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Benefits of Robotic Process Automation

Robotic

Robotic Process Automation (RPA) can be described as process automation software that enables outlining a set of instructions for a robot or 'bot' to perform a specific task. These bots can be physical or even digital assistants such as chatbots and virtual reality robots. RPA can automate everyday processes that require human action.  Examples are automated responses to customer support, forms entry/processing, scheduling applications, data extraction, and more.

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Machine Learning Solutions for the Economy

Machine Learning Solutions for the Economy

Businesses and legal structures have gradually climbed back to normal.  But they may never be the same again as measures of social distancing are maintained. Moreover, the U.S. had witnessed its biggest drop of employment in the earlier months of this year. Considering all these developments and with immense knowledge on the latest advancements in technology, SGS Technologie predicts that machine learning along with Artificial Intelligence can offer right solutions to get the economy as well official government work back on track.

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Choosing an AI Software Development Company

Choosing an AI Software Development Company

Business growth and plans of expansion will generate loads of data that need to be managed as well as analyzed well. However, it may be time-consuming and could require unnecessary expenditure while using manual methods for these. A better alternative would be adopting Artificial Intelligence technology. That is, the services of AI software development company can be procured. Choosing the right AI development company important for customized solutions. SGS Technologie makes the process of selection easier for you.

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Machine Learning; what it means for you?

SGS

Machine Learning is actually a data analytics technique.  It consists of algorithms that use computational methods to “learn” information directly from data without relying on a predetermined equation as a model.  It is also a concept which allows the machine to learn from examples and experience, and that too without being explicitly programmed. 

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Impact of Machine Learning on Software Development

SGS

It has been ascertained that Artificial Intelligence is increasingly being deployed as a key component of modern software systems. Facial recognition cameras, automated customer support, smart email categorization, and business forecasting are just a few of them. This is just the beginning and there is still long distance to cover. However, Artificial Intelligence wouldn’t have been possible without Machine Learning. These are two different concepts that are related to each other.

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How will Machine Learning improve Mobile Applications?

SGS

Machine Learning is a subset of Artificial Intelligence that enables computers and software versions to learn as well as predict outcomes automatically without human interference. But its usage while developing mobile applications hasn’t been explored much until now. The immense popularity of mobile devices needs to be considered at first. There still are many aspects of a mobile or a handheld device such as androids and tablets that users are not familiar with. What if Machine Learning can help improve the user experience as well as the responsiveness of users to mobile applications?

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