The Future of Machine Learning is highly reliant on
evolution in Artificial Intelligence technology. Self-driving car, robots and
automated machines working themself can acquire the information only with the
help of machine learning. The future of Machine Learning as a
service is very bright as soon as more companies, industries and
business organizations will start adopting AI based technology into their
businesses.
Future
of Machine Learning Envisaged into following fields:
Automation in Online Marketing
Digital Marketing companies implementing the machine
learning algorithms in multiple areas will help to find the demand trend among
the customers and help companies to design and produce the products and
services accordingly. Automated marketing strategies can target online
customers on multiple platforms including desktop and smartphones etc.
Better Virtual Assistant to Customers
Machine Learning will help to make online virtual
assistance or Chatbot services to work with better efficiency in terms of understanding
customer’s query in a better way and respond accordingly. ML algorithms can
design and predict the questions raised by the customers while purchasing a
products or as after sales service while facing a problem after buying such
things.
Reducing the Cost of Services offered
Machine Learning is going to play a major role in
cutting the cost at certain stages like operational expenses, automatic
emailing and providing the precise information of distribution for offline
channels reducing the cost arise due to overproduction. Requiring few people
due to ML marketing expenses will bring down directly benefiting the company to
earn with high margins into different markets.
Drive the Innovation is Accounting
Process
Machine Learning Data
as a service can leads significant innovations in Accounting
fields. Accounting software companies would be forced to adopt the machine
learning to stay in the race and using the ML algorithms we can get real-time
insights to enhance the decision making process and capitalize our efficiency
into many folds. In accounting there are many sub-fiends where ML can automate
the process with high accuracy and quick results.
Better Allocation of Resources
With the help of better machine learning
implementation into various fields companies can allocate their resources in
better way. At employee training program better e-learning program can be
designed as per their skills and knowledge to make online training resource
custom-tailored and more cost-effective. Using the more comprehensive graphs,
charts and metrics more power eLearning contents would also help training
depart to spend time in other fields.
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