In the simplest terms, AI which stands for artificial intelligence refers to systems or machines that mimic human intelligence to perform tasks and can iteratively improve themselves based on the information they collect. AI manifests in a number of forms. A few examples are:
- Chatbots use AI to understand customer problems faster and provide more efficient answers
- Intelligent assistants use AI to parse critical information from large free-text datasets to improve scheduling
- Recommendation engines can provide automated recommendations for TV shows based on users’ viewing habits
AI is much more about the process and the capability for superpowered thinking and data analysis than it is about any particular format or function. Although AI brings up images of high-functioning, human-like robots taking over the world, AI isn’t intended to replace humans. It’s intended to significantly enhance human capabilities and contributions. That makes it a very valuable business asset.
What is Deep Learning, Machine Learning ?
- Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks.
If you are just starting out in the field of deep learning or you had some experience with neural networks some time ago, you may be confused. I know I was confused initially and so were many of my colleagues and friends who learned and used neural networks in the 1990s and early 2000s.
The leaders and experts in the field have ideas of what deep learning is and these specific and nuanced perspectives shed a lot of light on what deep learning is all about.
In this post, you will discover exactly what deep learning is by hearing from a range of experts and leaders in the field.
- Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
2. How does Artificial Intelligence benefit people or businesses today? What are the possible disadvantages? Advantages of Artificial Intelligence
In real-world applications, AI is revolutionizing various industries through many advantages it has to offer in the following ways:
A. By Reducing Human Error
It is likely for humans to make mistakes in tedious and monotonous tasks, but computers can avoid such errors if programmed correctly.
AI models make predictions by applying algorithms to the compiled data, thereby reducing errors and improving accuracy.
Hence, achieving better results and fewer mistakes is possible. This can save both time and resources. So, organizations tend to increase their investments in AI for leveraging big data.
B. Allows Automating Repetitive Tasks
Repetitive tasks and processes continue to be a significant aspect of many occupations today.
This does not allow using the full potential of human employees.
AI enables automation of routine monotonous tasks in different areas of data collection and entry, email responses, customer support through chatbots, factory operations such as visual quality inspection, software testing, invoice generation, and many more.
This can undoubtedly free up the employees' time to focus on creativity or other areas that require distinctively human abilities.
C. Easily Handles Big Data
AI can process and make sense of big data in very less time.
It can quickly capture data and extract relevant data for analysis. However, that's not all, as AI can also further process this data through interpretation and transformation.
 
D. Faster Decision-Making with Continuous Availability
Organizations are always keen on faster decision-making to respond to today's dynamic markets.
But for faster decision-making, it is essential to have reliable insights available at a faster pace.
AI, along with various technologies, enables machines to bring consolidated information and predictions to assist in faster decision-making.
Additionally, AI also improves the process every time with previous predictions. Besides, AI systems can be continuously available, ensuring continual availability 24/7 with breaks (other than planned maintenance activities). This significantly impacts the company's productivity.
E. AI-powered Digital Assistants
Many businesses today have implemented digital assistants (chatbots) for customer interactions.
A chatbot can significantly reduce the need for excessive customer service staff for routine and simple customer queries.
Chatbots can smartly interact with the customer and provide relevant information on demand.
Voice assistants like Alexa and Siri are examples of voice bots that respond to voice commands and assist users with queries and personal management tasks. 
F. Mitigates Risks 
A highly notable advantage of AI application is in areas that are hazardous to humans.
AI systems can minimize the risks involved for humans in such tasks. For example, AI-enabled robots can undertake risky tasks such as coal mining, marine life exploration, assisting in rescue operations during natural disasters, and so on.
 
G. Pattern Identification
AI outperforms human talents when spotting patterns in words, figures, or images.
AI effectively discovers trends and patterns in a dataset and, as a result, can generate more accurate predictions faster.
This is crucial for companies as they can visualize the bigger picture for better decision-making.
For example, with such trends and patterns, AI can improve the marketing analytics capabilities of any organization.
H. Improving Processes and Workflows
Companies strive to find ways to work more efficiently, increase productivity, and boost revenues.
An important part of this includes developing better human workflows. It might be possible to achieve higher efficiency by designing workflows that reduce error and rework by humans.
 
I. Medical Applications and Treatments
The best thing that has ever happened to humans is AI being involved in medical applications and treatments.
Doctors can assess their patients and their health risks quickly with AI. The growing applications of AI used in medical science also help educate the machines regarding the side effects of various medicines.
Nowadays, medical professionals are trained with artificial surgery stimulators that help monitor and detect neurological disorders and stimulate brain functions.
AI also helps in radiosurgery. It is used while operating on tumors without damaging the surrounding tissues.
The growing applications of AI used in medical science also help educate the machines regarding the side effects of various medicines.
J. 24x7 Availability
Many studies have been conducted, and it has been proved that humans are productive only for three to four hours a day.
They demand breaks and time off to maintain a healthy work-life balance. This is where artificial intelligence (AI) enters the picture.
AI can work indefinitely without taking a break or vacation. Machines can think much faster than humans and perform .
Disadvantages of Artificial Intelligence
1. High Costs
The ability to create a machine that can simulate human intelligence is no small feat. It requires plenty of time and resources and can cost a huge deal of money. AI also needs to operate on the latest hardware and software to stay updated and meet the latest requirements, thus making it quite costly.
2. No creativity
A big disadvantage of AI is that it cannot learn to think outside the box. AI is capable of learning over time with pre-fed data and past experiences, but cannot be creative in its approach. A classic example is the bot Quill who can write Forbes earning reports. These reports only contain data and facts already provided to the bot. Although it is impressive that a bot can write an article on its own, it lacks the human touch present in other Forbes articles.
3. Unemployment
One application of artificial intelligence is a robot, which is displacing occupations and increasing unemployment (in a few cases). Therefore, some claim that there is always a chance of unemployment as a result of chatbots and robots replacing humans.
For instance, robots are frequently utilized to replace human resources in manufacturing businesses in some more technologically advanced nations like Japan. This is not always the case, though, as it creates additional opportunities for humans to work while also replacing humans in order to increase efficiency.
4. Make Humans Lazy
AI applications automate the majority of tedious and repetitive tasks. Since we do not have to memorize things or solve puzzles to get the job done, we tend to use our brains less and less. This addiction to AI can cause problems to future generations.
5. No Ethics
Ethics and morality are important human features that can be difficult to incorporate into an AI. The rapid progress of AI has raised a number of concerns that one day, AI will grow uncontrollably, and eventually wipe out humanity. This moment is referred to as the AI singularity.
6. Emotionless
Since early childhood, we have been taught that neither computers nor other machines have feelings. Humans function as a team, and team management is essential for achieving goals. However, there is no denying that robots are superior to humans when functioning effectively, but it is also true that human connections, which form the basis of teams, cannot be replaced by computers.
7. No Improvement
Humans cannot develop artificial intelligence because it is a technology based on pre-loaded facts and experience. AI is proficient at repeatedly carrying out the same task, but if we want any adjustments or improvements, we must manually alter the codes. AI cannot be accessed and utilized akin to human intelligence, but it can store infinite data.
0 Comments