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Artificial Intelligence embedded in applications – AI functionality will dominate IT development market. Artificial Intelligence will enhance the application development by creating faster, more accurate, including flexible and instantaneous features harmonizing with the customers’ requests. Artificial intelligence encompassed in most recently created software tools requires best practices to embed AI, to implement and coordinate between the groups of assigned developers and scientists.
For years, application development took a boost from AI being more prominent in the most recent years when some trends are emerging based on the involvement of infrastructure and platform developers and data specialists/scientists on one hand, and the production of AI-based solutions empowered by the possibility of customization at the particular customer site performed by independent developers on the other hand.
HOW IS IT DONE?
The outlook of building AI-powered solutions presents the aspects which would likely have a potential impact on the development of labour, service markets and consumers trends:
Upon creating the AI-based software, part of the tools employed refer to AI infrastructure, AI platforms and AI frameworks thus used by data scientists and other tools become utilized by the professional developers who build targeted applications at the AI platform and AI services levels. The artificial intelligence platform is so powerful that the professional AI developers encompass AI-driven capabilities without the assistance of data scientists.
The professional developers apply capabilities of AI-based software to automate development tasks in a variety of areas of AI solution development: automated code generation, augmented analytics, automated testing, and automated solution development to deliver solutions according to the customers’ requests and provide users with relevant tools so that they can continue developing AI-driven applications upon acquiring these deliverables.
PLATFORMS USING AI BASED DEVELOPMENT
From their inception to present day, AI-powered tools which, initially revealed assistance and feature automation functions have improved extensively incorporating business domain and functional generation expertise while allowing for more complex automation in the process of Application Development.
Applications embedding artificial intelligence using NLP – Natural Language Processing – and emotions analytics continue to evolve and reach higher quality compared to previous AI software so it can assist the services industry in incredibly more efficient ways. Sectors, where the NLP machines would be employed, vary and some specific AI-powered tool are mentioned below:
- machine translation tools to perform translations between different languages
- chatbots used for the optimization of HR work, for instance, to answer the employees’ common questions “how many vacation days I have in one year?”
- hiring assistants to help employment managers to sort through thousands of job applicants’ resumes
- conversational search tools to assist employees or managers to instantly find information related to Key Performance Indicators (KPI) or critical financial information frequently needed in regular meetings for reports, analysis and growth which in a usual setting would take from minutes to hours to unravel.
Since AI-enabled application can perform tasks which were traditionally completed by humans, a shift in labour is expected. Traditional labour will upgrade its skills and the present performing AI tools will improve as well. The AI-powered tools delivered to business entities as services, continue to be enhanced and customized by independent developers who receive the predefined models from the data specialists and professional developers.
Empowering independent developers to tailor AI-enabled tools for their own business models represents a notable step forward to the generation of powerful applications based on artificial intelligence. The role of independent or “citizen developers” increasing frees up time and other resources such that professional AI developers and data scientists can work for the task at hand: discovering the fascinating power of artificial intelligence to serve the advancement of humankind.
Artificial Intelligence Driven Application Development - Trends
#1 Increasing Demand for AI-powered business applications
Machine learning and deep learning are becoming the driving force for the development of many enterprise-level applications. These are used to personalize customer experience and thereby helps to gain profitable business. Intelligent AI apps enormously functional for the growth of technology in the future.
#2 Merge Of AI With Blockchain, Cloud, & IoT
A mix of AI, Blockchain, cloud, and Internet of things (IoT) is going to explode the technology market worldwide. All these technologies are very much popular for their features and capabilities. Together these technologies can build advanced solutions that helps application developers. These technologies meets the computational and automation requirements of projects.
#3 Added Business Value With AI Is Ensured
From the starting of the year, leading marketers have already understood the importance of using AI systems, tools, and apps in their business. The marketers realized that AI can reduce revenue loss, improve customer experience, and renovate various processes, and this results more profits for the business.
#4 Development Of AI-based Hardware And Software
In 2020, we will definitely observe a significant growth in the design and development of AI-based applications. The demand for chipsets that can execute AI applications with no latency. This is due to increasing scale of data used by Artificial Intelligence apps to do complex tasks.
#5 Tools and technology for data being accessed by enterprises
The main reason behind the implementation of data analytics and data-driven decision making in the last few years was the growth of AI applications that accessed the power data. These AI apps put the data as a significant component for enterprises to execute operations without any huddles.
#6 Formulation Of Policies Adopting AI
China announced a National Policy and encouraged other people to involve Artificial Intelligence in their business. This year, along with China many countries are coming forward with their versions of policies that promote and expand AI technology.
#7 NLP to get revolutionized by Speech Recognition
For the last few years, Natural Language Generation (NLG) and Natural Language Understanding (NLU) have been making large steps. Now, NLP algorithms can decode human feelings, emotions, and images. The voice assistants can easily understand from voice and uses deep learning to narrate the words spoken with feelings.
#8 The Development Of Explainable AI
The explainable AI demand is growing. Explainable AI helps business officials get detail understanding of AI. Transparency and confidence are the main reasons behind the growth in the development of explainable AI.
#9 Power Of Integrating AI And Analytics
The blending of Artificial Intelligence and data analytics enhances the decision making power of a business. They can comprehend and perform complex tasks and deliver insights from large amounts of datasets.
#10 AI is also useful for cybersecurity
#10 AI is also useful for cybersecurityFinally, AI technology is also applied for cybersecurity. It will provide security to your networks and avoids threats. Machine learning models can find out the irregularities and reduce attacks in very little time.
In this technological era, it is becoming very essential for the brands to win the faith & trust of the customers. Artificial Intelligence is the most advanced technology which has shown the most impact to the consumers nowadays and undoubtedly, it will rule the technology world very soon.
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