Machine Learning
What It Is Machine Learning
Global AI and ML software revenues are expected to grow to $39B by 2025. Businesses would be entirely transformed by advances in the following technologies including:
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Machine Learning (ML)
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Natural Language Processing (NLP)
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Computer Vision
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Machine Reasoning
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Strong AI
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Deep Learning
Glimpses of the future are already visible in trials of self-driving cars by Tesla and Google, face unlock by Apple and face recognition in photos by Facebook.
What We Offer
MG Cloud Technologies offers comprehensive chatbot development
services. Chatbots can be incorporated into:
1. Websites
2. Mobile App
3. Social Media
MG Cloud Technologies has experience in building chatbots on the
following platforms:
Wit.Ai (Facebooks’s free chat BOT engine platform)
API.ai (Google’s conversational user experience
platform)
Kik codes
Pandorabots
Using Machine learning and Artificial Intelligence algorithms, businesses can optimize and uncover new statistical patterns which form the backbone of predictive analytics. Neural Networks based computing frameworks are playing in critical role in Predictive Analytics. Neural networks can be used to solve some interesting business problems in an everyday life. For example, a model of neural network for a mortgage lender can be built using training data set and using inputs such as age, income, current debt, education, credit score etc. that predicts debtor risk. MG Cloud Technologies experts can work with you to build neural networks based predictive analytics models to accurately predict business or transaction outcomes.
Competition in online-selling sites has never been as fierce as it is now. Customers spend more money across all their providers, but they spend less per retailer. The average size of a single cart has decreased, partly due to the fact that competition is just one click away. Offering relevant recommendations to potential customers can play a central role in converting shoppers to buyers and growing average order size. Online buying example above is also relevant in other industries example buying a flight ticket, booking a car or hotel. MG Cloud Technologies can help your enterprise build a product/content recommendation engine based on your business needs.
Machine learning has been recognized as a successful measure for
cyber intelligence and fraud detection. Machine learning works on
the basis of large, historical datasets. Based on this historical
data a model can be created and trained.
The model could use various data points such as the age and value of
the customer account, as well as the origin of the credit card.
There can be hundreds of inputs and each contributes, to varying
extents, towards the fraud probability. Note, the degree in which
each input contributes to the fraud score is not determined by a
fraud analyst, but is generated by the artificial intelligence of
the machine which is driven by the training set.
Such features in machine learning-based systems make it possible for
fraud analysts to identify the most significant contributors.
Feedback from users to confirm the system’s decisions by marking
customers as genuine or fraudster improves the machine’s learning
ability, adding to accuracy.
Three steps to predict fraud using machine learning
Extract features from a dataset
Provide training set
Build models
How We Do It
Staff Augmentation / Extended Team
MG Cloud Technologies sets up a team of experts, functional specialists, data experts, data scientists and software engineers in your office or our offices, and you manage the deliverables by using the team.
Managed Teams
We not only setup the team, but also manage the delivery responsibilities.
Project Delivery
Just tell us what needs to be achieved, and we deliver on a pre-agreed price and schedule.