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Artificial Intelligence Applications and Succeeding with IAIDL

If you are new to Al, let’s discuss what Artificial Intelligence is.  Artificial Intelligence is the theory and development of computer systems to be able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.

When we just write or think about the word “Artificial Intelligence,” your mind may invoke the image of Terminator machines that are destroying the World. But the present picture of artificial intelligence is more positive.  Al has various impacts on different aspects of life, such as business, marketing, banking, etc. In this article, we will discuss how artificial intelligence helps our planet and humanity in different ways.

The following are applications for artificial intelligence.

Marketing

AI in marketing is the use of customer data, machine learning, and other computational concepts to forecast a person’s action or inaction. It can take on huge amounts of data and help marketers easily segment them.

As such, marketers can further break down data to create customized content for their audiences. With AI, businesses can craft great marketing analytics techniques to target the right potential customers. This will help digital marketers feed customers with the right content on the right channel at the right time.

One example of artificial intelligence in marketing is Netflix.  Everyone is obsessed with Netflix. The main reason behind this is that Netflix provides highly accurate forecasting technology based on customer’s responses to films.  It scrutinizes millions of records and documentation to suggest shows and films that you might like based on your previous actions and choices of films. As the data set grows, this technology is getting smarter and smarter every day.

Banking

Al in banking is growing very fast in the last few years. Many banks in the world already use Al to support their customers, detect fraud in the banking system, and other purposes. Many examples of Al are present in the banking system. The following are the functions of Al in the banking sector.

  • Front- and middle-office AI applications offer the greatest cost savings opportunity across banks.
  • Banks are leveraging AI on the front end to smooth customer identification and authentication, mimic live employees through chatbots and voice assistants, deepen customer relationships, and provide personalized insights and recommendations.
  • AI is also being implemented by banks within middle-office functions to detect and prevent payment fraud and to improve processes for anti-money laundering (AML) and know-your-customer (KYC) regulatory checks.

Agriculture

Artificial intelligence technology is bracing different sections to boost productivity and efficiency. AI solutions are assisting in overcoming the traditional challenges in every field. For example, AI in agriculture is serving farmers to improve their efficiency and reduce hostile environmental impacts.

By using the techniques of AI, farmers can now inspect a diversity of things in real-time such as weather conditions, temperature, water usage, or soil conditions gathered from their farm to better inform their decisions.  AI technologies aid farmers in optimizing planning to generate more bountiful yields by regulating crop choices, good hybrid seed choices, and resource utilization.

Health Care

The motive of Artificial Intelligence is to construct computers more functional in resolving problematic healthcare challenges, and by utilizing computers, we can elucidate data that is acquired by the diagnosis of various chronic and acute diseases like Alzheimer, Cardiovascular diseases and various types of cancers like breast cancer, colon cancer, etc.

Artificial Intelligence helps in early detection and observation of various chronic diseases, which minimizes the economic load and seriousness of the disease. Various automated operations and tools like Brain-computer interfaces (BCIs), arterial spin labeling (ASL) imaging, ASL-MRI, biomarkers, iT bra, Natural language processing (NLP)and various algorithms aids to reduce errors and control disease progression.  Computer-assisted diagnosis, decision help, support systems, expert systems, and execution of software may help physicians to reduce the intra and inter-observer variability.

To streamline the process of diagnosis with artificial intelligence methods, specifically artificial neural networks (ANN), the Fuzzy approach can be implemented to handle the diverse type of medical data. ANN technique discovers the hidden patterns and correlation in medical data and effective in designing support systems in the clinical field.

The application of AI facilitates the interpretation of results with high accuracy and speed.  Artificial intelligence and machine learning can save lives by helping individual patients beat the odds.

Artificial Intelligence Vs Machine learning Vs Deep learning

We often use two different terms when we talk about artificial intelligence. These terms are artificial learning, machine learning, and deep learning. When we think about these terms, we have an idea that deep learning, machine learning, and artificial intelligence as a set nested within each other, beginning with the smallest and working out.

Machine Learning

Machine learning is an application of artificial intelligence (AI) that provides systems the capability to automatically learn and ameliorate from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. Example of machine learning is Customer online support system.

Deep Learning

Deep learning is a subdivision of machine learning where artificial neural networks, algorithms invigorated by the human brain, learn from large amounts of data. … Deep learning allows machines to solve complex problems even when using a data set that is very diverse, unstructured and inter-connected. Deep learning is used to detect pedestrians, which helps decrease accidents.

Artificial Intelligence

Artificial intelligence is a broad spectrum capable of solving problems better than humans. So with the advancement in the field of science, AI is changing faster than its history can be written, so predictions about its future quickly become obsolete as well. The evolution and system of AI will be known.

Artificial Intelligence as a Career and Succeeding With AIDL in the Workplace

It is the age of Artificial Intelligence.  Robots are transforming our world, our workplace, our work.  Now, there are various advancements in the field of robotics.  AI is not a new topic, but it’s becoming an organizational process that needs to be understood, prepared for, and ultimately adopted. As we work with clients on digital transformation and cybersecurity projects, AI is almost always a topic of interest, if not intentional consideration.  IAIDL AI Certification is a big plus today in the workplace.

Never Stop Learning

Everyone who wants to succeed in the world of Artificial intelligence has to agree on this thing “Learn, Learn and Learn.”  Lifelong learning and personal extension are going to be elemental in securing a prosperous and enduring relationship with your AI counterparts.

Be Technologically Savvy

To be technical in the field of artificial intelligence, you have to always look for the opportunity to update yourself about new techniques. As Artificial intelligence amalgamates more and more into our work and work-spaces, we will require to speak expertly but cleverly about their behavior and mode of action – what it does and why it’s doing what it’s doing.  Become an early promoter and assimilate to talk about AI so people around you can believe in it.

 

 

 

Originally posted 2020-04-06 19:16:31. Republished by Blog Post Promoter

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