Machine Learning

Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can change when exposed to new data.

Big Data

Democratizing Big Data with Visual Analytics

Turbo-charge your business analytics and address your routine to complex Big Data challenges with the truim info analytics platform. Trium info is the only platform that empowers business users with an intuitive, easy-to-use interface to leverage the full spectrum of big data analytics technology, without requiring any data science or IT expertise.

The Trium info interface remains consistent whether you are analyzing a small dataset or performing advanced analytics on a multi-terabyte big data cluster with complex data from sensor, social, Point-of-Sale (PoS), and geo-location sources. Users of any skill level navigate rich, insightful dashboards and analytical workflows simply by interacting with visualizations that represent aggregations of billions of data points.

Big Data Connectivity for High Performance Analytics

Trium info offers three primary types of native integration with Hadoop and other big data sources:

  • Visualizing Data: Native out-of-the-box data connectors that facilitate super fast interactive data visualizations.
  • Performing Calculations:
    • Bring the engine to the data: Integration with in-datasource distributed computing frameworks that enable data calculations of any complexity on big data.
    • Bring the data to the engine: Integration with external statistical engines that get data directly from any data source, including traditional databases.

    Together, these modes of integration offer a combination of visual data discovery and advanced analytics. They enable business users to access, combine, and analyze data from any underlying data structures with dashboards and workflows that are powerful and easy to use.

    Big Data Connectors

    Trium info Big Data connectors support in-datasource, in-memory and on-demand data access modes. As a result of this data access flexibility, fast interactive visualizations are made possible such that data calculations occur within the data stores and the data is moved into client memory if and when it is needed. Trium info native data connectors include:

    • Certified Hadoop data connectors for Apache Hive, Apache Spark SQL, Cloudera Hive, Cloudera Impala, Databricks Cloud, Hortonworks, MapR Drill and Pivotal HAWQ
    • Other certified big data connectors include Teradata, Teradata Aster and Netezza
    • Connectors for OSI PI historical and real-time sensor data sources

    In addition to convenient point-click SQL operations running distributed within the datasource, advanced statistical and machine learning algorithms can be initiated from Trium info to be run in-datasource on very large datasets, only returning the results needed for visualizations in Trium info:

    • Users interact with point-and-click dashboards that call scripts using the TERR instance embedded in Spotfir
    • The TERR scripts initiate distributed computing jobs via Map/Reduce, H2O, SparkR, or Fuzzy Logix.
    • These jobs drive high-performance engines deployed on the Hadoop or other datasource nodes.
    • TERR can be deployed as the advanced analytics engine in Hadoop nodes that are driven by MapReduce or Spark. It can also be called on Teradata nodes.

    Putting it all together

    Combining all these powerful functionalities means that very sophisticated and robust analytic use cases can be encapsulated in easy-to-use interactive workflows

    • Certified Hadoop data connectors for Apache Hive, Apache Spark SQL, Cloudera Hive, Cloudera Impala, Databricks Cloud, Hortonworks, MapR Drill and Pivotal HAWQ
    • Other certified big data connectors include Teradata, Teradata Aster and Netezza
    • Connectors for OSI PI historical and real-time sensor data sources

    Analytical Breadth for Big Data

    Let’s face it, in today’s interconnected world you are faced with complex problems and difficult decisions. Trium info offers powerful capabilities that empower you to transform vast amounts of diverse data into meaningful insights and make the best possible decisions, fast.

    • Advanced and Predictive Analytics
    • Content Analytics
    • Location Analytics
    • Machine Learning

    Real-time Event Analytics

    Insights from visual analytics and modeling in Trium info can be deployed, at the press of a button, to event processing systems and scored/run on real-time streaming data. This allows you to monitor real-time data and alert end users, such as marketers or engineers, when an anomaly occurs or a new trend begin to emerge. The alerts can combine recent event data with historical data, providing context to enable users to investigate an event’s importance and quickly decide on any necessary intervention.

    Trium info Streambase is integrated with Trium info for such real-time streaming analytics. Streambase does real-time math on streaming data; using rules and models published in Trium info. Streambase applies the Trium info insights to streaming data in an automated manner, pushing notifications to a wide array of channels including text, email, database, and BPM systems

    Key Features

    • Scalable data visualizations
    • Intuitive user interface
    • Flexible data architecture
    • Agile Platform



Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python’s simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.

Often, programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead, when the interpreter discovers an error, it raises an exception. When the program doesn’t catch the exception, the interpreter prints a stack trace. A source level debugger allows inspection of local and global variables, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time, and so on. The debugger is written in Python itself, testifying to Python’s introspective power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective.

Content Analytics

What is Big Content?

Beyond conventional Big Data, there exists a tsunami of information in the big data universe that has largely remained untapped. Big Data Analytics has morphed into a world of unstructured machine-generated data and human-generated content that is referred to as ‘Big Content.’ Nearly 80% of the information captured by organizations (regardless of industry) is comprised of human-created unstructured content, which continues to grow exponentially. Some examples of big content include chat logs, emails, documents, sales and service notes, CRM case notes, support tickets, weblogs, social media feeds, and more. This contextual value-adding information has remained under-used due to lack of recognition and inadequate technologies.

Explore Big Content

Access and assemble unstructured human-generated text-based information from any source in any format. Visualize and analyze big content within a single data analytics interface to derive contextual value and dig deeper beyond the norm to understand your business.

Get a 360 ? View of Your Business

Mashup and encapsulate unstructured content with structured data to get a complete picture of all aspects of the business, including information captured from both internal and external sources. Empower business users to have a positive impact on operational performance.

Know the ‘Why’ Behind the ‘What’

Transition from the traditional directed (know what you need) analytics to discovery- based (don’t know what to look for) analytics. Uncover new dimensions, trends, or patterns in your data to understand root cause. Seize every opportunity and be prepared to take preemptive actions to mitigate risk.

Make Holistic Decisions

Correlate all of your human-generated content in context with other structured data and realize deeper insights and value from your corporate data. Revolutionize the decision- making process across the enterprise by empowering users with previously unavailable knowledge that transparently considers all relevant information.

Key Features

  • Rich Text Analytics

    Leverage the broad spectrum of comprehensive text analytics capabilities that provide structure to unstructured content and greater insight.

  • Semless Visualization

    Experience the seamless user interface within for visualizing text analytics output augmented with full-text search.

  • Agility

    Process content from different sources with extensive configurable transformation functions.

  • Diverse Content Sources

    Extract and load content from varied data sources using out-of-the-box connectors for incredible performance.

Predictive Analytics

Predictive Analytics with Triuminfo

Predictive analytics–learning from the collective experience of your organization to make better decisions in the future–have entered the mainstream of business analytics, and Trium info has been at the forefront of this transformation. With Predictive Analytics, you can anticipate emerging trends, take preemptive action to minimize risk, and make better decisions with much greater confidence. Whether you’re leveraging your existing predictive models from other applications, creating new models from scratch using Trium info Enterprise Runtime for R R or S+, or using Predictive Modeling Tools to create new predictive models, predictive capabilities will help you quickly improve customer satisfaction and gain competitive advantage.

Having the strategic advantage of predictive analytics allows your company to be the leader when changes happen, and to minimize risk when the expected changes are on the downslide. Being able to make predictions accurately from data analysis means you are ready long before the competition realizes what’s happening. You get first crack at results due to emerging trends and can move forward confident that you are not stepping off into unknown territory. Accurate predictions are valuable in business, just as in weather forecasting. Go enjoy the beneficial markets and take cover when those markets slide. Predictive analytics is just good business!

Trium info Statistics Services

  • Easily provide targeted, relevant predictive analytics to business users
  • Leverage a Predictive Analytics Ecosystem through seamless integration of your existing investments in R, S+, SAS® and MATLAB®
  • Integration into Trium info and custom applications
  • Leverage in-database predictive analytics through Teradata Aster
  • Empower more effective decision-making across your organization

Trium info Enterprise Runtime for R (TERR)

  • Enterprise-class, R-compatible statistical engine
  • Deploy and integrate through Trium info, TSSS, and custom applications
  • Combine the agility of the R language with the speed and reliability of an enterprise platform

Trium info Predictive Modeling Tools

  • Provide deep predictive insights into your data
  • Enhance your ad hoc analysis
  • No scripting required

Insight Platform

Deeper Insight and Best Action Changes Everything
Leap ahead with best-in-class visual, predictive, and streaming analytics technologies.
The Trium info Insight Platform fuses our visual, predictive, and streaming analytics technologies providing a tool suite for optimizing business operations. Like a digital nervous system, it lets you build intelligence in your business, generates actionable insights in real time and let’s you capitalize on them. The platform lets you source the right data, analyze it with various techniques, and implement the resulting insights as a closed-loop solution with built-in continuous learning.

Featured Benefits

Speed insight for all your people

Shorten the cycle from data analysis to insight—from building and scoring predictive models and performing root-cause analysis to taking action. The Insight Platform connects people to smart systems for real-time decision support, automated action, and continuous learning.

Up your game

Analyzing and acting on real-time streaming data can change everything: uptime, innovation, revenue, and customer relationships—especially in high ROI business cases: connected vehicles, customer analytics, dynamic inventory, fraud detection, FX pricing, intelligent equipment, track and trace logistics..

Start fast, learn fast, run fast

Get your analyses into production quickly with freely available resources from the Trium info Community: accelerator frameworks with product templates and example solutions, product tips and tricks, videos, wiki articles, and access to professionals also deploying to production.


  • Big Data Analytics
  • Unlock the Value from ALL your Data
  • Rich Analytic Apps
  • Predictive Analytics Your Way
  • Immersive Data Preparation
  • Execute on Insights at Business Speed