DATA SCIENCE

Insights at the Speed of Business

Accelerating development and management of machine
learning models


We help customers address the labor-intensive process of getting models into production by providing an end-to-end data science system for developing, deploying and managing predictive models and real-time decision APIs.

Advanced Business Analytics

Machine
Learning

Data
Visualization

Advanced Business Analytics

Advanced business analytics software is infused with cutting-edge, innovative algorithms that can help you solve even your most intractable problems. Make the best decisions possible. And unearth opportunities you would otherwise miss. Use advanced modeling functions to measure and monitor risk metrics associated with physical or financial energy assets and contracts – value-at-risk, cash-flow-at-risk, potential future exposure – and run risk-factor sensitivity, pre-deal what-if trade analytics, and portfolio stress testing. Common uses include:

  • Data mining and big data predictive analytics
  • Statistical analysis for the most accurate answers
  • Forecasting and planning for the future
  • Text analysis of unstructured content and organizational data
  • Optimization and simulation for identifying potential scenarios and the best outcomes

Machine Learning

More and more organizations are turning to machine learning to increase their bottom line and competitive advantage. Growing volumes and types of data, and more interest in using data to produce valuable insights, and tougher economic conditions and a need for competitive differentiation are just some of the drivers. Machine learning helps solve difficult problems and uncover new opportunities. Common uses include:

  • Detecting fraud
  • Optimizing marketing campaigns
  • Improving operations
  • Reducing risk

Data Visualization

When processing information, using charts or graphs to visualize large amounts of complex data is easier than pouring over spreadsheets or reports. Data visualization is a quick, easy way to convey concepts in a universal manner – and you can experiment with different scenarios by making slight adjustments. Data visualization can also:

  • Identify areas that need attention or improvement
  • Clarify which factors influence customer behavior
  • Help you understand which products to place where
  • Pinpoint emerging trends and predict sales volumes
  • Comprehend information quickly
  • Identify relationships and patterns

OUR INSIGHTS

Cloud-Native Meets Hybrid Cloud: A Strategy Guide

July 20, 2020

This guide is a helpful primer for enterprise architects and IT leaders tasked with mapping out approaches to tackling modern IT strategies. Brought to you by *[$profile.organization], it focuses on the convergence

Cloud Pak for Integration Overview: Integration Made Simple

July 15, 2020

Creating innovative solutions to drive engaging customer experiences has never been easier with the IBM Cloud Pak for Integration. Watch this video to see the solution come alive with a no-code approach

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