Top Artificial Intelligence Technologies for UAE Companies

Midhun Menon P

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HLB HAMT - Accounting Firm in UAE

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    With innovative technologies, artificial intelligence has transformed the way we live. AI has taken over every industry and is having a significant impact on every aspect of society. In 1956, the phrase “artificial intelligence” was coined at a conference. Interdisciplinary information technology and natural language generation technology emerged from the conference discussion. The internet has contributed to the rapid advancement of technology. Artificial intelligence was a stand-alone technology thirty years ago, but it now has widespread applications in all aspects of life. Artificial intelligence, or AI, refers to the process of recreating human intelligence in machines.

    According to the Gartner report, artificial intelligence adoption increased from 4% to 15% between 2018 and 2019. Numerous new and emerging technologies are incorporated into artificial intelligence. Everyone is racing to implement artificial intelligence for operational excellence, data mining, and so on, from start-ups to large corporations. Let us look at the most recent artificial intelligence technologies.

    Most recent innovations in Artificial Intelligence

    Generation of Natural Language

    Machines process and communicate in ways that the human brain does not. Natural language generation is a popular technology for converting structured data into the native language. Machines are programmed with algorithms that convert data into the user’s preferred format. Natural language is a subset of artificial intelligence that enables content developers to automate content creation and delivery in the format of their choice. To reach the targeted audience, content developers can use automated content to promote on various social media platforms and other media platforms. Human intervention will be significantly reduced as data is converted into desired formats. The data can be represented graphically in the form of charts, graphs, and so on.

    Speech Recognition

    Speech recognition is another important subset of artificial intelligence that involves computers converting human speech into a useful and understandable format. Speech recognition enables communication between people and machines. The technology understands human speech and translates it into several languages. Siri on the iPhone is a classic example of speech recognition.

    Virtual Assistants

    Virtual agents have evolved into useful tools for instructional designers. A virtual agent is a computer program that interacts with people. Chatbots are used as customer service agents in web and mobile applications to interact with humans and answer their questions. Google Assistant can help you organize meetings, and Amazon’s Alexa can help you with your shopping. A virtual assistant also functions as a language assistant, taking cues from your preferences and choices. IBM Watson understands common customer service questions that are asked in a variety of ways. Virtual agents also serve as software-as-a-service.

    Management of Decisions

    Modern organizations use decision management systems to convert and interpret data into predictive models. Enterprise-level applications use decision management systems to receive up-to-date information and perform business data analysis to help organizations make decisions. Decision management aids in making quick decisions, avoiding risks, and automating processes. The decision management system is widely used in the financial and healthcare sectors, as well as in trading, insurance, and e-commerce.

    Biometrics

    Deep learning is another branch of artificial intelligence that operates based on artificial neural networks. This method teaches computers and machines to learn by example, just like humans. Because neural networks have hidden layers, the term “deep” was coined. A neural network typically has two to three hidden layers but can have up to 150 hidden ones. Deep learning works well when training a model and a graphics processing unit with large amounts of data. Algorithms work hierarchically to automate predictive analytics. Deep learning has spread its wings in a variety of domains, including aerospace and military applications to detect objects from satellites, worker safety by identifying risk incidents when a worker comes into contact with a machine, cancer cell detection, and so on.

    Machine Learning

    Machine learning is a subset of artificial intelligence that enables machines to understand data sets without being explicitly programmed. The machine learning technique aids businesses in making informed decisions by analyzing data using algorithms and statistical models. Machine learning is being heavily invested in by businesses to reap the benefits of its application in a variety of domains. In healthcare and the medical profession, machine learning techniques are required to analyze patient data for disease prediction and effective treatment. In the banking and financial sector, machine learning is required for customer data analysis to identify and recommend investment options to customers, as well as for risk and fraud prevention. Retailers use machine learning to forecast changing customer preferences and consumer behavior by analyzing customer data.

    Robotic Process Automation

    Robotic Process Automation is an artificial intelligence application that allows a robot (a software application) to interpret, communicate, and analyze data. This artificial intelligence discipline aids in the automation of repetitive and rule-based manual operations.

    Peer-to-peer Network

    The peer-to-peer network connects different systems and computers for data sharing without requiring data to be transmitted through a server. Peer-to-peer networks can solve the most difficult problems. Cryptocurrencies make use of this technology. The implementation is cost-effective because individual workstations are linked, and no servers are installed.

    Deep Learning Platforms

    Deep learning is another artificial intelligence branch based on artificial neural networks. This method teaches computers and machines to learn by example, just like humans. Because neural networks have hidden layers, the term deep was coined. A neural network typically has two to three hidden layers but can have up to 150 hidden ones. Deep learning works well when training a model and a graphics processing unit with large amounts of data. Algorithms work hierarchically to automate predictive analytics. Deep learning has spread its wings in a variety of domains, including aerospace and military applications to detect objects from satellites, worker safety by identifying risk incidents when a worker meets a machine, cancer cell detection, and so on.

    AI-optimized Hardware

    In the business world, there is a big demand for artificial intelligence software. As the demand for software increased, so did the demand for hardware to support it. A standard chip cannot support artificial intelligence models. A standard chip cannot support artificial intelligence models. A new generation of artificial intelligence chips for neural networks, deep learning, and computer vision is being developed. AL hardware includes scalable workload CPUs, special-purpose built-in silicon for neural networks, neuromorphic chips, and so on. companies such as Nvidia and Qualcomm. AMD is developing chips capable of performing complex AI calculations. These chips could benefit the healthcare and automotive industries.

    To summarize, artificial intelligence is a computational intelligence model. Intelligence can be defined as structures, models, and operational functions that can be programmed for problem-solving, inference, language processing, and so on. Many industries are already benefiting from the use of artificial intelligence. Artificial intelligence companies should conduct pre-release trials to eliminate biases and errors. The models and design must be robust. Businesses should continuously monitor artificial systems after they are released in various scenarios. Organizations should develop and maintain standards, as well as hire experts from various disciplines to improve decision-making. Artificial intelligence’s goal is to automate all complex human activities while eliminating errors and biases. To know more about AI Technologies, please contact our experts today!

     

     

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