Machine Learning Solutions

for an Uber-Intelligent Business

We are currently in a data-driven age, where information is gathered by businesses from all walks of life. Thus, to benefit from the value hidden within that data, machines must be enabled to analyze data sets, make useful predictions, draw important patterns, and learn and adjust iteratively to improve their predictions.
Machine learning offers ways, tools and algorithms that deliver predictions with great accuracy and speed.
NextLink’s Machine Learning solutions enable you to exploit the true potential of your information. We arm our experts with tools, algorithms, and our keen business acumen to deliver promised results.

At NextLink, we utilize a comprehensive toolset coupled with our team’s expertise on various learning methods and algorithms – all tailored to deliver accurate, fast and business-oriented outcomes.

Service
Learning

  • Involves identifying inputs and outputs
  • Employs methods like classification, regression, prediction and gradient boosting

Unsupervised
learning

  • Involves data sets without historical data or the identified output
  • Employs methods/algorithms, such as self-organizing maps, k-nearest neighbor mapping, singular value decomposition and k-means clustering

reinforcement
learning

  • Involves trial-and-error to find the most rewarding outcome while connecting applications and business processes.
  • Employs methods including the exploration/exploitation tradeoff, Markov Decision Processes (MDP, Q-learning, policy learning and deep reinforcement learning

semi-supervised
learning

  • Involves the combination of labeled and unlabeled training data
  • Employs methods like classification, regression, prediction and gradient boosting

machine learning
algorithms

Dimensionality Reduction

K-Nearest Neighbor

Regression

Naive Bayes

Random Forest

Principle Component Analysis

Feedforward, Recurrent & Neural Convolutional Networks

Decision Tree Learning

Our Machine Learning Approach

Data gathering from various sources

Data cleansing to achieve homogeneity

ML Algo selection and modelling

Insights generation using obtained results

Visualization of the results for better interpretation

Recommendations and assistance with decision making

Industries we cater

Financial Services

We use machine learning to derive key insights from financial data in order to detect and prevent financial fraud. This technology finds its application not only in identifying the investment and trade opportunities but also, it becomes a great tool for trading and risk management (TRM). It also identifies those individuals or institutions that are prone to financial risk and triggers necessary action in a timely matter.

Marketing & Sales

We help our clients with consumer data analysis, understanding behavior patterns of customers, ensuring a personalized customer experience, and making the most accurate & personalized product recommendations. In addition, we help the marketing teams maximize the effectiveness of their marketing campaigns by improving the target segment definitions and identifying their triggers.

Healthcare

We facilitate the prediction of the best clinical advice for patients based on the insights generated from the patients’, drugs, trials, & other clinical information. We also help in understanding the potential effectiveness of a drug during its trials, predict epidemic outbreaks and establish the government-level medical preparedness controls to fight wider emergencies.

Transportation

We analyze the traffic data in order to predict potential problems on certain routes and utilize Game theory to identify the best alternate routes. For insurance service providers, it helps determine the optimum insurance rates based on the accident prediction probability. For the transport service providers, we help optimize the delivery times of their fleet to make their services more efficient and customer-centric.

Our machine learning toolset