Introduction to Artificial Intelligence And Software Development

A. Introduction to artificial intelligence

In the advent of the new tech era, artificial intelligence, a modern approach to business and life, is gaining fast popularity. AI will affect how developers are building software and how the end-user is interacting with them. With new technologies such as voice commands and notes, artificial
intelligence software has to approach the problem in real-time. As businesses shift more and more towards AI, software development is gradually changing to keep pace as well. It is predicted that in
this year, almost 80% of businesses globally are investing in AI and 47% of companies are already extensively using AI technology. However, to successfully implement artificial intelligence technology in their businesses, companies must first understand how AI tech functions. This is where software developers are imperative. Artificial intelligence technologies are already redefining how developers work. AI algorithms can be used anywhere for any purpose – from project planning, estimation, and user experience. Study shows that AI-based development can increase the productivity of a developer 10x. The future of artificial intelligence is anticipated such that AI tech will be able to write code on its own. However, it does not negate the requirement of software developers in any way. In fact, just as the artificial intelligence technology will evolve, so will the software developers to learn and perform a different set of tasks
collaborating with the AI on the job. AI can take over the simple repetitive functions freeing up the time for the developers to invest time in complex problem-solving skills. Using artificial intelligence technologies, developers are able to build more streamlined code and applications.

B. Artificial Intelligence in business

The introduction of artificial intelligence in the world of software development has far-reaching ramifications. Development is a tedious task with challenges appearing. AI makes it easier for software developers to anticipate the roadblocks in the course of the development. Artificial intelligence can study and analyze data from past projects and help determine how far accurate the ongoing project development is. One of the benefits of artificial intelligence technology is that it can automatically
detect, diagnose and repair bugs without a developer having to look into it. Once a developer creates the AI algorithm, it keeps costs down and greatly improves efficiency. Real-time data-driven inputs from artificial intelligence software would change the ways end-users interact with any web application. Job profiles in AI Development It is a rising concern that with the arrival of artificial intelligence technologies, there will be a skill gap
within the software development industry. However, developers have to acknowledge that their skill set has to evolve with the rising trend and they have to keep up with the industry. As reports indicate, the three most in-demand job profiles in the AI technologies market are software developers, data scientists, and machine-learning engineers. As a machine learning engineer, working on artificial intelligence, you’ll be responsible for creating programs and algorithms that enable machines to take actions without being directed. As a developer, you will develop the AI algorithms to execute a pre-set task. The main responsibility of an AI data scientist includes procuring, preparing, cleaning, and modeling data using machine learning models and new analytical methods. Also, as a data scientist, you’ll be responsible for Designing and creating data reports to help stakeholders make better decisions. As per a report from Gartner, it is seen that business applications for AI have grown 270% in the last four years, fuelling a level of demand that outstrips the current supply of qualified job candidates. AI-related job roles have seen a striking rise in demand, especially in the advent of the work-from-home professional culture. The skills that software developers need to be proficient in AI projects include
math, algebra, calculus, statistics, big data, data mining, data science, machine learning, cognitive computing, text analytics, natural language processing, and extensive knowledge of several programming languages. It is impossible to inculcate and be aware of every single skill required to be an AI software developer. This is why a developer must be open to learning new skills continuously as an ongoing learning process. Artificial intelligence will radically reshape software development and force software developers to acquire new skills in order to stay relevant. Those who will adapt most successfully to the coming era will get to enjoy an abundance of work opportunities.
Top AI companies dominating the business world
• Amazon Web Service: AWS offers both consumer and business-oriented AI products and services. Several of its professional services build on AI services for consumer products. Amazon Echo introduced artificial intelligence into the home through the interactive voice server, Alexa.
• Google Cloud Platform: In addition to using AI to improve its offerings, Google Cloud sells several AI and machine learning services to businesses. It has an industry-leading software project in TensorFlow and inspired the Tensor AI chip project.
• IBM Cloud: IBM has been a leader in the domain of artificial intelligence. It offers services under IBM Watson, an AI-based cognitive service, AI software as a service, and scale-out systems designed for delivering cloud-based analytics and AI services.
• Microsoft Azure: Microsoft offers a mix of consumer-facing and business/IT AI projects. On the consumer side, it has Cortana, the digital assistant that comes with Windows and is now available for smartphones other than Windows Phone, and the chatbot Zo that talks like a teenager. On its Azure cloud service, Microsoft sells AI services such as bot services, machine learning, and cognitive services.
• Alibaba Cloud: The leading cloud computing platform in Asia, Alibaba offers clients a sophisticated Machine Learning Platform for AI. Significantly, the platform offers a visual interface for ease of use, so companies can drag and drop various components into a canvas to assemble their AI functionality.

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C. Artificial intelligence: a modern approach

AI is a technology that is transforming every walk of life. It is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve
decision-making. Anduril Industries use artificial intelligence technologies for defense purposes. They develop sophisticated sensors, AI integrated vehicles, and drones to create a threat protection zone. Products from Anduril Industries include Sentry Tower (autonomous awareness), Ghost 4 sUAS (intelligent air support), and Anvil sUAS (precision kinetic intercept). Sift, formerly known as Sift Science uses artificial intelligence to provide cyber security services. The company provides multiple online fraud management services under one umbrella. Their machine learning tools, supported by data analytics, seek insight into fraud before it happens. In the field of automobiles, Nauto offers an AI-powered driver behavior learning platform. Nauto is an AI technology designed to improve the
safety of commercial fleets and autonomous fleets. The artificial intelligence platform assesses how drivers interact with the vehicle and the road ahead to reduce distracted driving and prevent collisions.
In the domain of medicine, Tempus uses AI to fight disease and bolster patient outcomes. The AI gathers and analyses medical and clinical data at a large scale to provide precision medicine that personalizes and optimizes treatments to each individual’s specific health needs. Tempus AI is also applied to neurology, psychiatry, and oncology.

D. AI assured software development: benefits

• Automated code review:
Artificial intelligence can be a tool for software developers to use and optimize for repeated processes and tasks. AI-enabled coding programs can auto-complete a code during the software development process and boost the efficiency and accuracy of the produced code. At the same time,
recurring errors and bugs can be reviewed and fixed by the AI tech.
• Automated DevOps
AI technologies can be used in software development, especially in the deployment of simultaneous upgrades on multiple platforms. Since software needs to be regularly updated, it is a crucial time for
developers. With the help of artificial intelligence-enabled in the software, timely upgrades and subsequent deployments become easy.
• Automated security
Software security is a critical feature that has to be taken into consideration throughout development. During the running of a program, data gets collected by the system from network sensors and software
installed on the user’s end. Companies can use AI to study data and use machine learning to discern anomalous behavior from typical behavior. Additionally, software development companies that incorporate AI into their development process avoid delayed warnings and alarms.
• Automated testing
The function of artificial intelligence in software testing is becoming increasingly important for the quality assurance procedure. Quality assurance testing has always been a time-consuming, manual
process with a wide margin of error. One of the most significant advantages of artificial intelligence software is that it allows for quick, accurate testing, which improves the process where bugs get found
and addressed before a product is published, shortening the development cycle and guaranteeing a higher-quality end product.
• Designing
Project planning and software design require specialized knowledge and experience. Designers often face a difficult problem in deciding on the best plan for each step. AI technologies can be used to automate some recurring tasks. Designers can, for example, employ an AI design assistant to understand the client’s wants and preferences and then use that information to design a suitable web application as per the specifications.
• Accurate estimation
Software development frequently exceeds the pre-determined budget and deadlines. Reliable estimations necessitate a high level of expertise, a thorough awareness of the context, and familiarity with the implementation, team to deal with this.
• Strategic decision making
With so much time spent on different products and features, it is easier for developers to evaluate which ones need to get prioritized and which ones may get eliminated. Companies can train such an artificial intelligence platform by accumulating experience from past development project
errors to aid in reviewing the performance of existing apps.

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E. Why should you know about AI and machine learning

Machine learning algorithms will allow software developers to gauge how specific users behave and interact with an application, and how to respond to the multiple variables. Using this knowledge, they can make the required adjustments in a very short time based on concrete data. This will result in dynamic software development and web applications which will attract real-time user interaction and engagement. Artificial intelligence software enables to form of a continuous feedback loop with real-time data from the responses of the end-users. Machine learning helps facilitate the training of data from previous projects. These projects can include user stories, feature descriptions, and estimations to anticipate work and funds. Considerable amounts of time and strategy are required to transform
business requirements into technical solutions. As a result, with the help of machine learning, developers can shorten this process by allowing fewer technical domain professionals to design innovations using natural language visual interfaces. Python and machine learning for organizations and businesses, machine learning is one of the leading technologies that is encouraging them to evolve and involve it in their day-to-day running of the business. Machine learning is not just used by the IT industry but also plays a crucial role in transport, banking, advertising, and many other sectors. Many developers believe that Python is an ideal programming language for Machine learning to obtain innovative results. Here are a few benefits for it:

  1. Integrated frameworks and libraries: Python is a popular language that has several integrated frameworks and libraries that developers can use. These libraries help in saving a lot of development time making it easy for developers to add new features.
  2. Reliable data validation: Machine learning is used for identifying the data patterns to obtain results. ML engineers work on refining, harnessing, cleaning, processing, deriving insights, and sorting out of data, with the help of algorithms. In such a case, Python makes it easy to come up with the ideal solutions.
  3. Ease of coding: Machine learning engineers must know authentic mathematics to read the code and outside libraries. This can be unobvious and troublesome to some of the developers as they need to think about what to code before writing it. Python can be used since it is strict about appropriate spaces, is of multi-paradigm nature, and uses adaptable approaches.
  4. Extensible: Python can easily perform cross-language tasks due to its extensible and portable nature. The versatility of Python makes it easy for Data Scientists to train the ML models utilizing GPUs.

F. Future of artificial intelligence

Artificial intelligence has become a part of our lives. Knowingly or unknowingly, we come across AI tech every day. In reality, AI is already at work all around us – from our homes to our cars, to our banking and professions. Artificial intelligence is the future of software development as well. In fact, it is expected that there will be complete automation in the field of research, planning, design, and development in a few years. With automation taking over the repetitive tasks, software developers will have more independence for creativity. We already see a lot of businesses involved and investing in AI technologies in various fields like cybersecurity, basic programming, and development. Also, fields like pharmaceuticals, automotive industries, and defense systems are also incorporating artificial intelligence. Software technology companies will invest in the expansion of data centers to collect and collate data while AI will be incorporated in every aspect of the running of the business. With artificial intelligence advancing, better and advanced cybersecurity will also be provided by businesses.