OUR APPROACH

Over the past decade Machine Learning is used as a service that can help solve enterprise level business challenges. From Google’s predictive search to Facebook’s automatic photo tagging to face and speech recognition on Smartphones, machine translation, business intelligence, medical diagnosis, network security and Internet of Things – the use of Deep and Machine Learning as a service has taken quantum leaps to transform the world we live in today.

We believe that machine learning and deep learning is not just for consumer apps which is why we are helping our clients to use this technology to become intelligent enterprises. By automating processes and prioritizing routine decision making and driving process automation through advanced algorithms, we are paving the way for innovative business models and services that can be utilized for machine learning.

Removing the possibility of human error, machine learning solutions and deep learning are enabling us to shift the traditional rule-based processes to more intelligent ones which will enable the discovery of new unstructured data sets and patterns. We helps infuse continuous intelligence in your enterprise processes by dramatically improving your productivity

ML CAPABILITIES

Image Analysis
Our Machine Learning algorithms can identify faces or specified objects in a photo based on the photos that you manually tag. This can reduce redundant tasks for manual data operators. Our algorithms learn to identify a certain image as a written character and convert a scanned text document into a digital file for various uses such as data grouping and image processing.

Sentiment Analysis
Our ML method can be used to classify if the opinion expressed by the writer is positive, neutral or negative. This can be used for future marketing strategies and product development. The method can learn from the interaction and predict which way the customer is leaning and you place the appropriate products derived by this method.

Information / Data extraction:
The algorithms can extract a particular piece of information such as names, web links, addresses, keywords etc. With Machine Learning, data can be classified as a tweet, chat, post, blog or spam posts. This can help firms which have huge inflow of social content on a daily basis

Improved Content Discovery
With Machine learning, you get intelligence into what kind of content users are likely to follow and read and based on their interests and reading patterns, you can suggest articles that are aligned to their interest. In this way, you can create a more immersive and personalized experience for your users or customers.

Data Analysis – Predictions
Financial Organizations can use this to analyse credit worthiness and probability of loan defaulters. Other applications include trading, building predictive models of prices and market volatility, portfolio management and risk management.

Anomaly detection
This technique is used for fraud detection. Companies can detect which transactions are outside the usual purchasing patterns of the user and warn them at an early stage. Also, retail and e-commerce websites can use these algorithms to block fake accounts.

Data Visualization
Machine learning algorithms help to draw insights and predictions from the huge sets of data. It is not just about tracking user data but presenting it in a readable manner for decision makers to make critical business decisions. Data visualization is a very important aspect of machine learning and we at Ribus Group create models that help to extrapolate this critical information into easy readable and understandable formats.

Business Analysis
We can help you business analysts gain visibility into the performance of ML initiatives and can configure their own dashboard and statistical views. We can help them track prediction rates and usage, identify which models are providing value and what are the latest developments running in the sandbox prior to deployment. We can also help you in resource analysis by managing and optimizing cloud spending budgets and make more informed decisions regarding allocation of computing costs.

Deep Analysis and Diagnostics
We can help your data scientists draw from a rich set of charts and analysis tools with which they will be able to conduct detailed investigation into ML behavior. We help collect all data from various data sources and our ML model picks up trends and predictions which will help your data scientist arrive at the right conclusion.

MLaaS
Machine learning as a service (MLaaS) is an array of services that provide machine learning tools as part of cloud computing services. Our MLaaS services helps clients benefit from machine learning without the cognate cost, time and risk of establishing an in house internal machine learning team. Infrastructural concerns such as data pre-processing, model training, model evaluation, and ultimately, predictions, can be mitigated through MLaaS.

ML Platform
AWS – If you are already hosting your data on AWS, you are reaping the best benefits of machine learning. Ribus Group can help you harness the power of its wizards, data visualization tools and manage your AWS infrastructure.
Google Machine Learning – We can help you setup your system to extract the entire potential of Google’s ML services that analyze data and predict results. We can also obtain datasets from Google cloud storage or work with Google BigQuery.
Azure Machine Learning – Azure machine learning helps build data driven applications to predict, forecast and change future outcomes. We can help you leverage the full potential of Azure ML.

INDUSTRY EXPERTISE

ML for Sales

Our Machine Learning Solutions for Sales help sales and account managers get automatic alerts from the algorithms about specific customers who are about to turn away.

ML for Human Resouces

Our Machine Learning Solutions for HR help you in applicant tracking & assessment, attracting fine talents, behaviour tracking, attrition detection, and individual skills management/performance development.

ML for Marketing

Our Machine Learning Solutions for marketing help personalize marketing campaigns to meet the exact needs of prospective customers. You can offer customers special offers based on their previous buying patterns.

ML for Finance

Our Machine Learning Solutions for Finance help you in fraud detection, loan/insurance underwriting, algorithmic trading, portfolio management, sentiment/news analysis, and customer service. You can unearth the hidden opportunities to get more profits out of the existing systems.

RESOURCE CENTER

Case Studies

Protect corporate data by automating application security Ribus Group Cyber Security

Protect corporate data by automating application security

A global technology solutions provider, serves more than 2,900 customers worldwide in 43 countries, providing organizati
Implement Master Data Management Solutions Data management

Implement Master Data Management Solutions

Client is a global 500 company that thrives by providing the best solutions/products for their customers. They were stru

Our Approach

  • 1. Iterate Design

    We always start with people. Business is driven by human behavior. And we take a human-centered design approach to drive business results. Through observation, learning, and immersive research we are able to roadmap solutions that work for our clients and their customers.

  • 2. Validate Develop

    This is where we bring the design vision to life—uncovering and alleviating stumbling blocks that could interfere with successful implementation. Our 360-degree focus on customers and tech-agnostic approach allow us to develop flexible solutions that scale with business needs.

  • 3. Optimize Deliver

    Our global operation model and thousands of employees in 10 countries allow us to implement best practices and meet clients’ needs practically everywhere. From implementation to analysis, we go beyond solution launch to seek out continuous improvement for our clients—and ourselves.