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How has Artificial Intelligence Impacted Software Development?

Software development then vs now

The impact of artificial intelligence (AI) on software development is both significant and far-reaching. In the past, software development was a time-consuming, labor-intensive process that required developers to write lines upon lines of code in order to create even the simplest of programs. AI has now improved this process by many folds and its impact on software development will be far reaching than what it is today. 

Now, however, AI has changed the landscape of software development entirely. With AI-powered tools, developers can now create complex programs and applications with little to no coding required. In addition, AI can also be used to automate various tasks related to software development, such as testing and debugging.

Overall, the impact of AI on software development has been nothing short of revolutionary. Thanks to AI, software development is now faster, easier, and more efficient than ever before.

Major leaps in the sphere of software development in the last 10 years

With the rapid development of AI, the software development landscape has changed significantly in the last 10 years. In the past, software development was a time-consuming, labor-intensive process that required developers to write lines upon lines of code in order to create even the simplest of programs.

Timeline of the major events in the past 10-year history of software development are as follows:

  • In 2010, Google released the first version of its self-driving car.
  • In 2011, IBM’s Watson supercomputer won the game show Jeopardy! against human contestants.
  • In 2012, a team of Stanford students developed a computer program that beat a professional poker player in a heads-up No Limit Texas Hold’em tournament.
  • In 2013, Google acquired DeepMind Technologies, a leading AI company.
  • In 2014, Facebook released its artificial intelligence platform, which was used to develop chatbots.
  • In 2015, Microsoft released its Cortana digital assistant and launched its Azure cloud computing service.
  • In 2016, Alphabet Inc., the parent company of Google, announced that its artificial intelligence research company, DeepMind, had developed a program that could beat a human professional Go player.
  • In 2017, Amazon released its Echo smart speaker with the Alexa digital assistant.
  • In 2018, Google released its AutoML tool, which enables developers to train machine learning models without any coding required.
  • In 2019, OpenAI, an artificial intelligence research company, developed a computer program that can generate realistic 3D images from textual descriptions.
  • In 2020, the COVID-19 pandemic resulted in a surge in demand for AI-powered chatbots and digital assistants.

Benefits of AI in software development

In the current growing scenario of technology and machine learning Artificial Intelligence is taking over businesses from manufacturing to retailing and even in customer support Artificial Intelligence is progressing very fast in software development in terms of businesses.

Artificial Intelligence is improving the self-mode of learning from their experience without any kind of coding interruption of humans and can self-develop the machine to sense its own mistakes.

  • Decision making and prototyping
  • Data security
  • Bug and Error detection
  • Skill developing of program
  • Deployment control

Artificial Intelligence and its surge post the COVID pandemic

The COVID-19 pandemic has resulted in a surge in demand for artificial intelligence (AI)-powered chatbots and digital assistants. This is because AI can be used to automate various tasks related to customer service, such as answering frequently asked questions and providing assistance with online orders.

In addition, AI can also be used to help businesses manage their operations more efficiently. For example, AI can be used to automate tasks such as data entry and inventory management.

Overall, the COVID-19 pandemic has resulted in a renewed interest in artificial intelligence and its potential applications. Businesses of all sizes are now turning to AI to help them cope with the challenges posed by the pandemic.

Also Read: The role of AI in vaccine distribution

Applications of Artificial Intelligence in software development

Artificial intelligence can be used in various stages of the software development process, from ideation to deployment.

Some of the ways AI can be used in software development are as follows:

Ideation

AI can be used to generate ideas for new software products and features. For example, Google’s AlphaGo artificial intelligence program was used to generate new ideas for the company’s search engine.

Planning

AI can be used to create project plans and schedules. For example, Microsoft’s Project Cortex artificial intelligence platform can be used to create project plans and timelines.

Coding

AI can be used to write code. For example, Google’s AutoML tool can be used to automatically generate code for machine learning models.

Testing

AI can be used to test software products. For example, Facebook’s artificial intelligence platform can be used to test chatbots. Testing is the process of verifying the accuracy of the software product and its compliance with the requirements.

Deployment

AI can be used to deploy software products. For example, Amazon’s Echo smart speaker with the Alexa digital assistant can be used to deploy and manage apps.

There is no doubt that Artificial Intelligence (AI) has had a profound impact on the software development industry. In fact, AI has been responsible for some of the most significant advancements in software development in recent years. One of the most notable examples of this is the introduction of machine learning into the software development process.

Machine learning is a form of AI that allows software developers to create algorithms that can learn and improve over time. This has made it possible for software developers to create more intelligent and effective software development tools.

In addition to machine learning, AI has also played a role in the development of other advanced software development technologies. For example, natural language processing (NLP) is a form of AI that is used to interpret and process human language.

This technology has been used to develop software that can automatically generate code from natural language inputs. This has made it possible for software developers to create more user-friendly and efficient software development tools.

AI has also had a major impact on the way software is developed and maintained. For example, many software development organizations are now using AI-powered tools to automatically test and debug software. This has made it possible for software developers to create more reliable and efficient software development tools.

Also Read: AI to Pick Stocks

Conclusion

Overall, AI has had a profound impact on the software development industry. It has made it possible for software developers to create more intelligent and effective software development tools. In addition, AI has also played a role in the development of other advanced software development technologies. As a result, AI is likely to continue to have a major impact on the software development industry in the years to come.

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