machine learning

Infosmart provides AI software development for our partners who want to apply smarter solutions to their business problems. Together we open up new AI opportunities that can – in a very real way – change the future.

Our machine learning software development services involve creating self learning algorithms that can minimize errors and maximize accuracy with time. Systems powered by ML analyze data and learn new things from them which results in fast and reliable insights delivered without any human intervention.

Artificial intelligence

app development

As an artificial intelligence consulting company we can help you spot AI opportunities and eliminate barriers to AI innovation. With our expertise in applied AI and software development you can build intelligent systems that replicate human tasks but do these tasks quicker and cheaper, anytime and anywhere

Data mining

Dirty data, unstructured data, data that is hard to access – converting large amounts of these "trouble" data into meaningful information is a challenge we can help you solve. We collect raw data, examine and segment them, and deliver it to you in a suitable format so you can collate this information and generate insights.

Data science

We provide data science services to help our partners find patterns in data and extract relevant insights by using statistical methods. The types of tasks our big data specialists solve in data science include data collection, data processing, building predictive models using machine learning algorithms, and deployment.

Infosmart offers machine learning consulting that brings modern machine learning tools to your organization. Our consultants can help you to:

Detect anomalies in your business processes and operations using intelligent machine learning algorithms.

Leverage our artificial intelligence development skills to build adaptive, intelligent IOT products.

Use recent advances in deep learning and neural networks to find structure in noisy and complex data sources, Risk Modeling for financial institutions, Artificial Intelligence.

Infosmart has helped companies to:

Adapt AI to exploit the combination of human and machine intelligence.

Develop automation strategies to use self-learning and self-governing machines for competitive advantage.

Create new and disruptive business opportunities using the power of AI

Accurately measure the return on your AI investments

Statistical / Predictive Modelling

Infosmart’s predictive analytic service helps organizations solve complex issues that enable them to make decisions based on facts that enhance value. Infosmart has years of experience in the analytics and business performance management area, Our services range from software selection to implementation.

We believe that the power of technology combined with new processes will give our customers better analytic capabilities and a better understanding of key performance indicators. Our service model helps customers to better understand the solutions developed for them and how to maintain them in the future.

Vertical Solutions

app development

Analytics allow you to understand the meaning behind your data. Machine learning and deep learning enable you to predict and act on that prediction with confidence. Underpinning both is the presence of big data that is captured, managed, optimized, and then used to train models that learn and can be used to make decisions.

Machine learning systems are beginning to transform industries: improving operational efficiency, creating new customer experiences, improving customer satisfaction, and increasing company value through competitive differentiation. Underlying this, IT infrastructure must address some constants:

  • Never-ending accumulation and digitization of big data
  • Steady growth of a machine learning portfolio as new use cases emerge
  • Unyielding need for faster and more accurate results

We’ve taken some of the most widely used machine learning tools and platforms and made them available in our portfolio of supercomputer-powered systems.

Production-grade machine learning workflows – data preparation, model development, model training, model testing and inference/classification — are data-heavy and computationally intensive. The same supercomputer systems used to predict the weather, explore the cosmos, find and manage oil reserves, and make automobiles safer and quieter are ideally suited to power the discovery and automation being made possible by machine learning.

Machine learning platforms

Our agile analytics platform is an integrated system designed for complex machine learning workflows:

  • Data collection using tools like Apache® Kafka®
  • Data cleansing, preparation and enrichment using data Apache® Spark™
  • Machine learning using tools like MLlib and BigDL
  • Advanced pattern matching and discovery