AI, ML, Cognitive Services

Make Better Decisions With Computational Intelligence

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MSRCosmos’ machine intelligence capabilities are equipped to address a multitude of analytical challenges.

  • Machine Learning Build models based off your corporate data, and use intelligent proofs-of-concept to test them.
  • Predictive Analytics Predict which future business events will bring positive outcomes to focus limited resources on those events that deliver optimal performance and ROI.
  • Predictive Modeling Predict outcomes and measure the values of those outcomes with MSRCosmos’ predictive modeling services. Leverage MSRCosmos’ scalable platform to manage and utilize the proliferation of data types, data points, and data sources. Now you can transform historical data into actionable criteria. But big data can mean big demands. Now you can transform historical data into actionable criteria for tactical execution.
  • Cognitive computing Cognitive computing is the future of AI. Technologists build processes that mirror human thoughts and brain functions. Examples of cognitive computing are visual recognition, speech-to-text, text and language translation.

Deploy intelligent solutions, analyze data, model faster, and orchestrate the machine learning development lifecycle with MSRCosmos.


An intelligent services infrastructure scalable to your needs – now and in the future

The MSRCosmos AI services platform

  • End-to-end Big Data and AI strategy and implementation
  • No limits on the size of the data-set or compute resources
  • No contractual lock-in – pay as you go, cancel at any time
  • Leverage HCube to streamline data preparation for analytics


Questions That Will Help SMBs Overcome Their Dilemma of Moving To Cloud


MSRCosmos at Ascend with Azure event: To equip SMBs with enhanced agility, scalability, and flexibility to innovate.

Case Study

Log retentions management

A global full-service, therapeutically focused, clinical research organization (CRO) headquartered in Raleigh (NC) running operations across six continents in more than 110 countries was helped in building a security analytics solution called “Secure Logs” using the latest Apache Metron – that ties big-data into security analytics.

Case Study SAP S/4 HANA implementation for improved organizational efficiency and bottom line

Our Virginia-based client from the food industry with operations across two continents (North America & Europe) with revenues of about $14 Bn, was helped with implementation of Simple Finance along with SAP S/4 HANA, which transformed the client’s financial operations and helped improve its bottom-line.

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