• Post Graduate Program in Analytics and Artificial Intelligence
    Co-created with Coding Ninjas
    4.8 out of 5 by 4610 learners
    12 X industry demand
  • Machine Learning and Deep Learning Prodegree
    Co-created with IBM
    4.7 out of 5 by 2750 learners
    32 X industry demand
  • Post Graduate Program In Data Analytics
    4.7 out of 5 by 3600 learners
    14 X industry demand
  • Data Science Prodegree
    Co-created with KPMG in India
    4.8 out of 5 by 6071 learners
    16 X industry demand

 
One of the biggest developments in the world of computer science has undoubtedly been Artificial Intelligence. The ability of your machine to learn and understand all about certain processes and then implement methods to improve the same is one of the most in-demand jobs today. It becomes necessary to evaluate a company’s software and see how they can implement artificial intelligence methods.
There is so much that is possible while applying artificial intelligence in marketing. By 2020, more than 30% of the companies worldwide will use AI to help streamline their sales. This will help them increase efficiency and focus more on converting sales and rates.
Here are a few other places where AI will play a prominent role:

  1. Driverless vehicles:

Automated vehicles aren’t a dream anymore. The likes of Tesla have already started implementing driverless cars on the road. The U.S. Department of Transportation has gone ahead and released certain definitions and rules pertaining to the various levels of automation which can be implemented.
Uber was also acquired by Google in order to help scale their properties and capture the driverless market in time. AI could help save lives lost in accidents and potentially save close to 30,000 people in the United States every decade.
As it is a disruptive technology, it is expected to create some big changes. It can also automate many jobs which affect people. In the near future, it is expected to be used for opportunity more than threats.
       2. Process automation:
Robotic process automation refers to the use of machine learning to automate tasks dependent on rules. It will help individuals focus on certain crucial aspects of their work and leave the routine work to machines.
Automated projects will take up a bulk of the automation work in the world of machine learning and artificial intelligence. Companies are always looking to be cost-effective and automated machinery will help them achieve that goal over the long term.
     3. Sales and marketing:
Artificial Intelligence is also being employed in so many sales and marketing sectors. AI can be used as a useful tool to make repetitive tasks much easier. This includes tasks such as scheduling, paperwork and even timesheets to make it easier.
Marketing teams will also be able to weed out fake leads from genuine ones to make it easier to choose the right people to market to. They will be able to make the process simpler and allow everyone to get better at their daily tasks.
Overall, artificial intelligence is on the route to make the world a better and easier place to live and work in. It is a disruptive technology which will create dramatic changes. It can also be used to automate a multitude of jobs, especially in the production sector and make it easier for companies to become cost-effective. Over the long run, where this will head to cannot be predicted but by the looks of it, it seems like a good place to be in.
With Imarticus, you will be able to take up an artificial intelligence course that makes it simpler for you to succeed. In the battle between machine learning vs artificial intelligence, you are the real winner!

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About Imarticus
Imarticus Learning is India’s leading professional education institute that offers training in Financial Services, Data Analytics & Technology. We’ve successfully transformed careers of over 35,000+ individuals globally through our Certification, Prodegree, and Post Graduate programs offered in association with leading and renowned global organisations in the Financial Services, Data Analytics & Technology domain.
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