by admin - 31 Mar 2021

Artificial Intelligence is one of the most rapidly emerging technologies in the current world. Every day you interact with several AI-based applications, be it for education, entertainment, digital assistance, gaming, inventions, etc. Though there are misconceptions that the implementation of AI in various industries will render humans jobless, it’s time to debunk all those myths. In fact, when humans and artificial intelligence work together, the results obtained will be splendid and out of one’s imagination. Let’s find out how to utilize the potential of human intelligence and artificial intelligence together to achieve significant results.
 
 
WHY DO PEOPLE FEAR AI?
Artificial Intelligence has ventured into various sectors and has taken up a maximum of the tasks that humans do, such as automation of repetitive tasks, initiation of conversation, diagnoses of diseases, providing good customer experience, predicting results, forecasting weather, etc. So there is a fear among people that when AI has plunged into so many human activities, it will replace people in their jobs leading to widespread unemployment. But that’s not the complete truth. After all, humans are the ones who developed artificial intelligence and hence the human brain is capable of outperforming technology. When humans and AI work together, significant results are obtained, compared to their standalone performance.
 
HOW CAN HUMANS AND ARTIFICIAL INTELLIGENCE COLLABORATE?
Instead of blindly blaming AI for wiping out jobs of humans, let’s have a look at how can AI collaborate with humans to enhance business productivity.
 
 
AI MACHINES ASSISTING HUMANS
Here are a few examples of how the implementation of AI is proving beneficial for humans.

1. SMART DECISION MAKING

   AI analyzes patterns, user behavior and records the experiences to make decisions. Unlike humans, their decisions are not biased and hence more reliable. They analyze every bit of data recorded and take the most favorable decisions.

    

2. REDUCES THE ERRORS

   Humans tend to make mistakes, and hence the saying goes, ‘To err is human’. We make mistakes when we lose our concentration, being influenced emotionally or when being disturbed. But a machine records all the previous experiences and makes decisions accordingly, thereby, considerably reducing the chances of making errors. Weather forecasting is one of the industries where a maximum of the errors have been reduced post-implementation of AI.

    

3. AUTOMATION

   In various industries, there is more repetitive work that demands much of human time. If these works automate via Artificial Intelligence, a maximum of the time, money, and energy gets saved with significant enhancing of work quality. Automation increases the productivity to meet the demands, and also the resources are free to perform other essential tasks. Thus using AI automation, productivity increases, quality of work is enhanced, time gets saved, and maximum safety gets ensured.

    

4. ENHANCES THE CUSTOMER EXPERIENCE

   AI can work on your behalf to provide good customer experiences and retain the customers. One of the best examples would be the chatbots that combine AI with Natural Language Processing. Chatbots initiate a conversation with your customers and understand their pain points. Based on the data gathered by the chatbot, you can help the customer with the best solutions.

    

5. AVAILABLE 24*7

   You would have seen businesses introducing chatbots to initiate the conversation with their customers. These chatbots are available 24*7, and hence, the customers feel as though you are always ready to hear from them. It makes them feel their importance and have a positive perspective on the company. Not only the chatbots, but other AI-based applications can also work 24*7, unlike humans who need rest after a few hours of work. Thus your work never comes to a halt, saving time and increasing output.

    

6. SOLVES COMPLEX PROBLEMS

   Developments in AI over-time has made it possible for Artificial Intelligence to solve complex problems in every industry. Whether it is the predictive analysis of weather forecasting, or detection of fraudulent activities or advancements in the healthcare sector for remote diagnosis, etc., AI is playing a crucial role in solving complex problems in every field. We have witnessed a recent innovation where doctors can detect breast cancer in women at early stages via the implementation of AI. Such complex issues put human life at stake, and hence AI serves as a boon to society.

    

At times it is risky for a human to perform a task, and such risky jobs are done easily with the help of AI. When complex problems are solved quickly and conveniently, time gets saved, productivity increases and expenses get reduced.
 
 
HUMANS HELPING THE MACHINES
Machines will be machines, they require training to perform a specialized task, someone who can assess the results and also maintain the machine. Human work does not end after building a machine, you have to take up the above three process mentioned for better results. Hence though AI machines are capable of several human tasks, it’s only human who can train the machines, program them to perform desired tasks and maintain the machines in an optimum state.

1. TRAINING PHASE

   Before an AI system takes decisions, it requires sufficient training-datasets, provided by human trainers. You have to teach the machine-learning algorithms to the machine. For instance, a chatbot must be trained how to respond to user queries, reflect a positive attitude, understand the consumer pain points, take the conversation forward and retain the customers. Most of the leading industries are hiring staff to train machines in the early stages, and hence AI is building more employment opportunities.
   If you consider the smart-assistants, a great deal of human training goes behind the development of the personalities of Alexa or Siri. After an extensive training period, these digital assistants evolve as smart-assistants reflecting the brand they represent.

    

2. INTERPRETING PHASE

   Based on the training data sets, AI systems will start taking decisions and bring outputs. But can you train them on all sorts of possibilities? Probably no! Consider a self-driven AI car that causes an accident, it is the human trainer’s responsibility to figure out why did the machine take such a decision or what exactly impacted its decision to drive in a manner that led to the accident. This is the interpretation phase.
    
   AI machines can make failures, they are not error-free. If the system is trained well, there are fewer chances of making errors. But one good thing is that machines record the errors they make and try to rectify them. If you consider Tesla cars, all the Tesla are inter-linked. If one particular car takes a harsh turn at a particular location, all the other cars get notified on how to avoid the harsh turns at that place. This all happens when humans train them and program them in that manner.

    

3. MAINTENANCE PHASE

   Any machine requires good maintenance, lack of which reduces its life and productivity. Maintenance is not a one-day work, it is an everlasting job, and this again justifies that the implementation of AI in industries will open up new alternate job opportunities for people. These engineers or sustainers make sure that the machine operates on ethics without causing any damage to humans or other machines.

    

What would be your opinion now? Can humans and AI machines bring optimum results when they work separately? Or will you get better outputs when humans and AI collaborate? You would have got your answers. So did we, and hence, we have introduced AI in our portfolio of services. To know more about Artificial Intelligence and how it can boost your business, connect with us on https://entitledarts.com