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IBM Watson is an analytics platform that streamlines leveraging interactions, predicting disruptions, and accelerating research through the use of artificial intelligence. This advanced data analysis and visualization solution lives in the cloud and provides a reliable guide to users over the discovery and analysis of their data.

Independently unravel patterns and meaning in your data through guided data discovery and automated predictive analytics. Even without the help of a professional data analyst, you can interact with data and gather answers that you can understand using the tool’s cognitive capabilities like natural language dialogue. This means any business user can immediately determine a trend and visualize the data report in the dashboard for an effective presentation.

Why choose IBM Watson?

  1. Smart data discovery. Using your own words, you can easily type a question that will add or connect to data for you to gather understandable insights on the go. Whether you’re on desktop or iPad, you immediately get a roster of starting points.
  2. Analysis of trusted data. Since data analytics comes in many forms, the tool helps you stay in synch when exploring, predicting, and assembling data for a trusted insight.
  3. Simplified analysis. You can be prepared to act with confidence when you identify patterns and factors that can potentially drive business outcomes.

12. MATLAB

MATLAB dashboard example

MATLAB is a data analytics platform commonly used by engineering and IT teams to support their big data analytics processes. It enables you to access data from various sources and formats such as IoT devices, OPC servers, File I/O, databases, data warehouses, and distributed file systems (Hadoop) in a single, integrated environment.

Before the development of predictive models, the system empowers you to preprocess and prepare your data by automating tasks ranging from cleaning data, handling missing data, and removing noise from sensor data. You can then directly forecast and predict outcomes by building predictive models and prototypes. Furthermore, the system lets you integrate the tool with production IT environments even without recoding or building a custom infrastructure.