Use of Artificial Intelligence to solve challenges in different fields

Healthcare:

According to (IBM, 2023): One benefit the use of AI brings to health systems is making gathering and sharing information easier. AI can help providers keep track of patient data more efficiently.

Examples: Administrative work, virtual nurse assistants, less invasive surgeries.



Sports:

According to: (avcontentteam, 2023)With the help of AI algorithms, coaches and players can analyze vast amounts of data about games, opponents, and their own performances.

It is also used to evaluate the support that the team is receiving from their fans in social media

Security:

According to (Forbes, 2023) Enterprises employ SIEM systems that use AI algorithms to analyze and categorize security incidents in real time.

AI is constantly learning about new attacks and how they act to prevent them.


SIEM (Security Information And Event Management)

Fashion:

According to (Ginsberg, 2023): With AI algorithms predicting trends and analyzing customer preferences, fashion businesses can create designs that are more likely to be popular with their target market 

It can help to reduce the risk of making a product that is not going to sell.


Manufacturing:

According to (Simplilearn, 2023): Creative Generating In generative design, machine learning algorithms are employed to mimic the design process utilized by engineers. Using this technique, manufacturers may quickly produce hundreds of design options for a single product.



Comments

  1. kekofranco66November 22, 2023 at 4:45 PM

    According to (Simplilearn, 2023) not accurate.

    Do something like this:

    According to Ginsberg (2023) ... and then add your own comments.

    ReplyDelete

Post a Comment

Popular posts from this blog

Ethical problems of Artificial Intelligence

Image
AI creating art According (Unesco, 2023) : While AI is a powerful tool for creation, it raises important questions about the future of art, the rights and remuneration of artists and the integrity of the creative value chain.  Example: Some students have to do a drawing of their house and the one who made the best drawing is going to win a prize. A kid did his homework with all his effort and it was a nice drawing. But another kid did his homework with an AI and he won the prize. The teacher didn’t notice that the drawing was made by Artificial Intelligence. Plagiarism in content creation According to (Microsoft, 2023) : AI bots can’t create fully original work. They scour a database or the internet (whichever they’re programmed for) to learn how to create content based on what already exists. For example, the song that was created by an Artificial Intelligence simulating Bad Bunny singing it, was more viral than his whole album. Social Manipulation and Misinformation: A
Read more

Efficiency and effectiveness of Artificial Intelligence

Image
1.Efficiency: Acording to (grupokorporate, n.d.) :   T haks of the AI, In companies where in the future themonotonous, simple and repetitive tasks will be assigned to machines, while humans will be left with diferents skills , which will bring better results in the long run.  2.  Effectiveness: Acording to (nexusintegra, 2023) :  The effectiveness of artificial intelligence has marked a great milestone anywhere in the world, this effectiveness brings different advantages such as Automate processes, Reduces human error, Reduce the times spent on data analysis. According to (gamco, n.d.): Automate Processes: Through the use of new cognitive technologies are key to helping companies optimize their processes, employee productivity, inventory and relevant information.  Thanks to automation, too many errors can be avoided and the effectiveness of the processes is increased. According to (analyticsinsight, 2023): Reduces human error: AI can help prevent sampling errors by auto
Read more

Challenges of Artificial Intelligence

Image
1. Unknown nature of the information  According to ( Vadapalli , 2022): One of the most important factors that are a cause of worry for the AI is the unknown nature of how  deep learning models  predict the output . For example: A student was doing homework and searched for the information in an AI. When the teacher checked the homework, noticed that the information was wrong because the AI got the information from a non-trusted website. 2. Displacing jobs According to ( AI for good, 2018 ) : AI can deepen inequalities by automating routine tasks and displacing jobs. For example, a group of people that worked in customer service for a company were fired because de IT department developed an AI chatbot that can handle customer complaints and basic support.  3. Attacks According to ( MalwareBytes, n.d . ) : Experts say that attackers can use generative AI and  large language models  to scale attacks at an unseen level of speed and complexity For example: Some users received an ema
Read more