The field of artificial intelligence (AI) has been appreciated over the past few years owing to the tremendous progress. The credit goes to several advances, both algorithmic and technological. Due to this, a new wave of AI applications is forming, turning impossible into possible.
However, as rightly heard, AI has not prepared to take control of the world in the field of technology, business sciences and many more. While we have been witnessing that AI has achieved remarkable performance in tasks, which were previously considered beyond the limits of the computer. AI systems are still having limited tendency and capacity in the field of a prediction technology. But, gradually, technology is getting better day by day.
Usually, machine intelligence is not able to learn similar but different tasks, excepting human intervention and substantial work. Also, it lacks certain fundamental “general intelligence” characters such as the capability to adapt how to learn.
This wouldn’t be correct to say that AI will not be able to transform our job market and economy. However, the transformation would take time as the process is gradual. It is as Similar as the introduction of robotics machine in the factory to reduce dependency upon labor to maximize the efficiency. The process gradually delegated “human” tasks to capable autonomous systems. In this way, little disruption occurs that leads new economies to thrive—fading away old sectors of the economy. At each step of this process, tasks moved a bit further that were once considered as the beyond the capacity of computers. The process was regarded as successful and made us accomplished, but it did not help us to prepare for new technologies and its aftermath.
Machines intelligence-driven automation starts with assisting labor and gradually increase the dependency on the machine. Over time as systems evolve, more job is assigned to autonomous agents and eventually, machines take over the task to perform a job.
The impact of this process is very crucial to the people who are in the job market and whose jobs have been automated. Companies, market, and labor generally deeply impacted by these changes. As the world continues to commoditize machine intelligence, we would be able to get predictions, which will be cheaper and progressive.
It is very crucial to analyze and adopt the new paradigm of machine-intelligence. The businesses need to identify which job and task need to be automated. How the automated task would affect your employees and customers. Following are the scenarios, which needs to understand to make a good decision:
- A customer support representative handling a ticket about a common problem, which usually resolved by taking the predetermined steps.
- A salesperson is going through a long list of leads, which he needs to determine which would be qualified leads based on their several features.
- To support a diagnosis, a doctor in the hospital is analyzing a single x-ray to find a visual cue.
All the above-mentioned scenarios are examples of situations, where the sufficient information, to make a decision, is available.
It is very significant to highlight that the augmented worker will remain essential as AI is not mature enough to handle complex situations, which have multiple sources of information. For example, AI won’t be able to strike a deal with the potential customer. Similarly, a doctor is not just analyzing an x-ray analysis machine, but it is more than that. Notwithstanding, in all the above-mentioned examples, the professionals may be able to enjoy some support from machines but could not solely depend on them.
Let’s assume for a second that predictions using AI become accurate and cheap and you can have the option to automate repetitive task; how can it affect the way the company operations or the way the job is done? Following are the example where a person can use intelligence augmentation that helps to save time and the process more efficient and productive for the company:
Sales professionals can save time by using machine intelligence to determine and analyze to generate a list of qualified leads.
Generally, customer service department deals with the variety of complaints ranging from complex to simple one. A business can use machine intelligence to resolve the complains, which are not complex and are simple in nature. This would help customer representatives to more spend time on complicated issues.
Machine intelligence can play a vital role in optimizing marketing strategies as it depends upon the large volume of data. AI can allow marketers to take less time to optimize their marketing campaign.
Machine intelligence can forecast the load on servers and can warn the user well before to take appropriate action. This can help business to save money and time and also stop their systems from crashing.
It is evident that AI-powered automation will remain here to stay. Businesses need to prepare, adapt, and take advantage of AI to remain ahead of their competitors. However, the most crucial part to adapt AI is to understand your business needs and dynamics and explore an area of your business, which can prone to intelligence augmentation.