OneGlobe: Empowering businesses with Machine Learning and Artificial Intelligence

It is evident that Machine Learning and Artificial Intelligence play a vital role in the digital transformation journey of many businesses. The benefits of these two technologies vary based on the nature of the business. From simple product recommendations to Credit Card Fraud detection, many different use cases can be implemented with the help of Machine Intelligence (Machine Learning + Artificial Intelligence).

Artificial Intelligence will have greater impact than any other innovations in the following decades. It is the field of computer science that emphasizes on the creation of Intelligent Machines that can work and react like humans. It has become an essential part of the technology industry. Some of the capabilities that Artificially Intelligent machines can acquire include:

  • Knowledge

  • Reasoning

  • Problem Solving

  • Perception

  • Learning

  • Generation (Speech, Image)

Machine Learning is an application of Artificial Intelligence (AI) that provides systems the ability to learn and improve from past experience without being explicitly programmed. The primary aim of this is to allow computers to learn automatically, but some human intervention might be needed for carrying out the process efficiently.

Machine Learning tasks can be categorized into 3 types:

  • Supervised Learning

    Supervised Machine Learning algorithms are the most commonly used. With this model, a data scientist can act as a guide, and teach the algorithm what conclusions it should make. Just as a child learns to identify fruits by memorizing them from a picture book, in supervised learning, the algorithm is trained by a dataset that is already labeled and has a predefined output.

  • Unsupervised Learning

    Unsupervised Machine Learning uses a more independent approach, in which a computer learns to identify complex processes and patterns without a human providing close, constant guidance. Unsupervised Machine Learning involves training based on data that does not have labels or a specific, defined output.

  • Reinforcement Learning (Advanced)

Choosing an Approach

It is important to choose which approach best suits your needs. Choosing a supervised or unsupervised Machine Learning algorithm usually depends on factors related to the structure and volume of your data and the use case to which you want to apply it. Machine Learning has blossomed across a wide range of industries, supporting a variety of business goals and use cases including:

  • Customer lifetime value

  • Anomaly detection

  • Dynamic pricing

  • Predictive maintenance

  • Image classification

  • Recommendation engines

OneGlobe’s approach:

Implementing Machine Learning involves:

  1. Studying the problem

  2. Exploratory Data Analysis

  3. Data Preparation

  4. Data Modeling and evaluation

  5. Design and Solution

  6. Support and Maintenance

How OneGlobe helps you in your journey

OneGlobe provides solutions that help organizations solve their data challenges, enable Machine Learning and Data Science workflows, or offer SaaS based capabilities that enhance end applications with Machine Intelligence. We offer end-to-end Machine Learning, Data Science and Implementation services. We will take care of your data from the data preparation phase to the deployment phase.

Our Capabilities

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Our Cloud Partners and offerings:

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