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Machine Learning

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Machine Learning Solutions for an Uber-Intelligent Business

Businesses today are able to collect massive volumes of information. In order to reap the value hidden in the gathered information, you need to enable machines to analyze the data sets, make useful predictions, draw important patterns, learn and adjust iteratively to improve the predictions. Machine learning offers ways, tools and algorithms, that drive the real business results having potential to tremendously impact the future of your organization – delivering predictions with great accuracy and speed.

PureSoftware’s Machine Learning solutions enable you to join and lead the organizations that breathe innovation – leveraging the true potential of the information and putting at work the best talents, tools, algorithms, and a keen business acumen to deliver the results that speak for themselves.

At PureSoftware, we utilize a comprehensive toolset backed up with the expertise of our team on various learning methods and algorithms – all tailored to deliver accurate, fast and business-oriented outcomes.


Machine Learning Methods

Supervised Learning

  • Involves identified 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.

Semi-Supervised Learning

  • Involves combination of labelled and unlabelled training data
  • Employs methods like classification, regression, prediction and gradient boosting.

Reinforcement Learning

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

Machine Learning Algorithms We Employ

Machine Learning Algorithms

Our Machine Learning Approach

Industries We Cater

Financial Services

We use machine learning to derive key insights from the financial data in order to detect and prevent financial fraud. Machine learning 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 which are prone to financial risk and triggers necessary action on time.

Marketing & Sales

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

Healthcare

Machine learning facilitates prediction of the best clinical advice for patients based on the insights generated from the patients’, drugs, trials, & other clinical information. It helps understand the potential effectiveness of a drug during the 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, 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

Machine Learning Toolset

Latest

Updates

Events and Webinars

CSUN Assistive Technology Conference

Date: 19-23 March 2018 | Location: San Diego, California

IDC Asian Financial Services Congress

Date: 1-2 March 2018 | Location: Marina Bay Sands, Singapore

Singapore Fintech Festival

Date: 13-17 Nov 2017 | Location: Expo, Singapore

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