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.

Machine Learning can be defined as a computer system absorbing massive pieces of data into a computer system or application, to learn these data forms.

Artificial Intelligence is enabling the computer or machine to think on its own so that it can utilize and implement whatever it has learned in the Machine learning stage.

Both concepts are related, though each is unique. Artificial Intelligence will not be possible without Machine Learning. Also, recent breakthroughs in software engineering have enabled AI capabilities to be utilized through RESTful APIs as automated cloud solutions. The existence of massive data sets in a computer system through machine learning can save a lot of time in researching and collecting this information. These data inputs can include a client's requirements, full-fledged knowledge of the latest software development tools available, the proposed timeline, number of resources, their qualifications, and more. 

Hence, the advantages of Machine Learning and AI for software development processes include,

Code Replacement:  This is the foremost advantage of integrating ML in the process. Along with artificial intelligence, Machine Learning can replace coders and developers by automating the brick laying process of software development. Hence, the code need not be rewritten each time there are changes in the programming language. The neural network or the computational system that features the code can be trained to gather information of new coding programs as they are released.

Data Storage:  With Machine Learning. systems can actually predict where data is stored or if the data exists. Besides, requirement of data storage space is reduced massively, and ML can facilitate faster processing of codes. It can also give the benefit of diagnosing and providing quicker responses to problems such as running out of memory in a Hadoop cluster.

Automated Analysis: Software tools can be developed with ML integration to enable the performance of more advanced data analytics. Exploratory data analysis is automated as well as statistical models for time series data and detailed explanations. A Machine Learning Expert company can enable automated recognition of vulnerabilities in software. 

Data Security: Cybersecurity can be enhanced, and threats can be predicted on a massive scale with Machine Learning. It can avoid false notifications, delayed warnings, and alerts.  Machine Learning can enable a system to collect data from a combination of software installed in customer terminals and network sensors. This collected data is then analyzed through machine learning to differentiate normal behaviors and irregularities. The adoption of Machine Learning can help an organization quickly observe breaches in security.

SGS has expertise in designing Machine Learning enabled software solutions for different domains. We are headquartered in Florida and have immense experience in Machine Learning, AI as well as data engineering. Also, we have offices in Tallahassee (FL) and Frisco (Tx). Get to us through mail/phone, direct visit for a quick discussion so that we can analyze the most apt solution for your firm.
 

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Advantage of Machine Learning & AI for Software Development

 5

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.

Machine Learning can be defined as a computer system absorbing massive pieces of data into a computer system or application, to learn these data forms.

Artificial Intelligence is enabling the computer or machine to think on its own so that it can utilize and implement whatever it has learned in the Machine learning stage.

Both concepts are related, though each is unique. Artificial Intelligence will not be possible without Machine Learning. Also, recent breakthroughs in software engineering have enabled AI capabilities to be utilized through RESTful APIs as automated cloud solutions. The existence of massive data sets in a computer system through machine learning can save a lot of time in researching and collecting this information. These data inputs can include a client's requirements, full-fledged knowledge of the latest software development tools available, the proposed timeline, number of resources, their qualifications, and more. 

Hence, the advantages of Machine Learning and AI for software development processes include,

Code Replacement:  This is the foremost advantage of integrating ML in the process. Along with artificial intelligence, Machine Learning can replace coders and developers by automating the brick laying process of software development. Hence, the code need not be rewritten each time there are changes in the programming language. The neural network or the computational system that features the code can be trained to gather information of new coding programs as they are released.

Data Storage:  With Machine Learning. systems can actually predict where data is stored or if the data exists. Besides, requirement of data storage space is reduced massively, and ML can facilitate faster processing of codes. It can also give the benefit of diagnosing and providing quicker responses to problems such as running out of memory in a Hadoop cluster.

Automated Analysis: Software tools can be developed with ML integration to enable the performance of more advanced data analytics. Exploratory data analysis is automated as well as statistical models for time series data and detailed explanations. A Machine Learning Expert company can enable automated recognition of vulnerabilities in software. 

Data Security: Cybersecurity can be enhanced, and threats can be predicted on a massive scale with Machine Learning. It can avoid false notifications, delayed warnings, and alerts.  Machine Learning can enable a system to collect data from a combination of software installed in customer terminals and network sensors. This collected data is then analyzed through machine learning to differentiate normal behaviors and irregularities. The adoption of Machine Learning can help an organization quickly observe breaches in security.

SGS has expertise in designing Machine Learning enabled software solutions for different domains. We are headquartered in Florida and have immense experience in Machine Learning, AI as well as data engineering. Also, we have offices in Tallahassee (FL) and Frisco (Tx). Get to us through mail/phone, direct visit for a quick discussion so that we can analyze the most apt solution for your firm.
 

Category : Machine Learning

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