AI building AI is not a dream but a reality now. AI has changed the way humans were doing things a decade ago.
Artificial Intelligence is so advanced that it can even handle calls. Instead of reciting the programmed commands, it can interact with the caller.
Social media platforms have become dependent on AI completely. They use AI to provide better suggestions and engaging content to their users.
But up until now, AI can only get better with time. They cannot create or build another AI. Recent discoveries are proving this wrong.
AI and Machine Learning
AI and Machine Learning go hand in hand. They work in complete sync in a lot of applications. They can even pilot an entire ship now on their own. AI building AI is here now!
The construction of an Artificially intelligent system is not an easy task. There are various tricky areas which a programmer must pay attention to. AI can help us identify these areas and help us overcome them.
Programmers are assigned new roles
The programmers and people with a career in IT should show interest in effectively utilizing the data.
Data is the key with which both AI and ML operates. But when these people work in AI they get clogged.
AI building AI can help change this situation. It can free these engineers from boring and challenging work.
Autonomous Data Management
Gaining insights from huge heaps of unorganized data is the future. AI and ML are already efficient in utilizing the available data.
The algorithms which can manage the data on its own has also become quite common. But there is one major area which needs improvement.
An AI must autonomously start to manage data. This is pretty much any AI would do. But steps which make this AI to act on their own should come into play.
We can see that interaction between humans and machines have grown. Machines and humans can work and understand each other better. They can interpret what we say, and we are about to say with a reduced effort.
The day where the databases would do the same is not that far away. The major motto of any AI or Machine learning algorithm is to reduce the processing time.
This processing time is nothing but the time required for data from unorganized to redefined.
When databases become smart and intelligent, they can initiate data cleansing on their own. Engineers, no matter how developed the current AI is, sometimes do the same boring tasks over and over again.
This can help them save time and put it to good use. They can optimize the server in the meanwhile.
Although it sounds like a great idea, it must fit into the current model in order to make it into production.
We need more emerging AI and Machine Learning engineers who can help in automating the creation of AI.
But strong knowledge in AI and ML is the key. Any deviation from this might leave the system vulnerable to risks. But every tech industry faces risks. These risks are no different than them.