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Oscar:DataScience

An AI Platform Designed to Solve Real World Big Data Problems in Any Industry

Three Editions, Two Deployments

Viewer

Executive view, consume data and insights via storydashboards

Cloud

Deploy on the cloud with either AWS or Azure

Studio

Business users, deploy machine learning, models and AI then upstream insights to management

Data Scientist

Data scientists, build prediction models and automate workflows to be deployed by studio users

On-Premise

Deploy on-premise with Massive Analytic's own intelligent, hyperfast infrastructure - Zetta

Reduce Uncertainty with Precognitive Analytics

Traditional predictive analytics has it's limits because it doesn't address the uncertainty in big data. Uncertainty can take many forms, it can be missing values, incorrect values or just junk. Uncertainty also comes from the possibility of rare events that aren’t in the historical data. This is where Artificial Precognition, Massive Analytic 's patented AI technology comes in with the unique precognitive analytics. 

Oscar’s precognitive analytics addresses the uncertainty in traditional prediction models, with proprietary algorithms  using a combination of possibility theory, uncertainty theory and traditional statistics. Precognitive analytics empowers users to make the right decisions by providing more accurate prediction models and what's more it's scripting free and can be deployed by business users in the Oscar studio edition.

Too Much Data and Not Enough Data Scientists

With connected people, machines and processes, we’re producing more data than ever before. It's because of this that more companies are realising that they need to make use of AI and machine learning to keep up with the curb. Until now only data scientists have been able to navigate big data and find the buried insights that can affect real business change, in essence they’ve become the bottleneck.

 

The optimal use of big data requires knowledge of coding, statistics, machine learning, database management, visualisation techniques and industry-specific knowledge, Oscar Studio Edition combines the technical skills in a single platform so business users who are experts in their field can get insights all by themselves. By automating the machine learning algorithms data scientists use to analyse big data, Oscar empowers ordinary business users with its studio edition to become citizen data scientists, able to act and find buried insights in support of company data scientists.

 Digitally Transform Your Business

The goal of empowering business users to be citizen data scientists isn't to replace current data scientists, but to transform company processes by complementing them with a set of power users who can use the Oscar Studio Edition to pick up where data scientists leave off and fill in any skill gaps. Oscar links the efforts of trained data scientists with citizen data scientists, once a process is in place, the traditional barriers that data scientists face to buy-in  (both upstream to management and downstream to staff) will begin to fall off as information democracy puts more data into more hands. 

In practice, it makes sense for data scientists to stick to the work of advanced analytics and statistics which they trained for, creating workflows for data preparation and modelling. The data scientists create analytical models, train them, score them, prepare them to go into production and export them as code. When those workflows are ready to test or take into production, the data scientists use the Oscar Data Scientist edition to push them to the citizen data scientists, who run them in the studio and ensure they work as designed. By transforming operations in this way company productivity can be massively improved by Oscar.

Built From the Ground Up for Big Data

Typically most data scientists will use Python and ‘R’ to analyse big data, but these languages require lots of time and resources to analyse large data sets. The whole process requires manually intensive data science and ends up giving far from optimal decision outcomes. This happens because those languages weren’t designed for big data, which means that they don’t scale easily.

 

Oscar was built from the ground up to be a platform for big data, this is why it runs on top of Spark – a superfast framework for processing big data, that can run up to 100 times faster than Hadoop. What’s more Oscar’s processes are coded in Scala, a programming language that does scale to big data. By running on top of a designed for big data architecture Oscar provides much faster answers to business queries and can provide those answers no matter how big your business grows.

Increase Productivity With User Centric Features

All Oscar’s features have been designed to be intuitive and user friendly to increase productivity and reduce the decision episode. Oscar’s GUI makes navigating user directories easy and sharing data, dashboards and models can be done in just a few clicks. This ease of use extends to uploading data as well, as Oscar makes data preparation straight forward by automating the scripting usually necessary to deal with nulls and other problems with the data.

 

Oscar’s storydashboards combine self-service machine learning with infographics in a browser. Reduce complicated dashboards to just a few key charts and infographics to accelerate understanding and the decision episode. Collaborate by sharing storydashboards and insights on personal and group levels with ease. Create a culture in your business where insights and data are shared and productivity is maximised.

Case Study: Identifying Cancer Cells with Machine Learning Using Oscar:DataScience

The early diagnosis and prognosis of a cancer type has become a necessity in cancer treatment. Massive Analytic Limited developed new algorithms for use in precision medicine for personalised treatment of cancer victims.

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