FOUR REASONS WHY YOU NEED A DATA SCIENTIST

Most organisations understand by now how Big Data can boost their customer centricity, efficiency and innovation. Yet it’s important that those who plan to launch their first Big Data projects.

Spotlight

Parallel Domain

Training and testing autonomous systems in the real world is a slow, expensive and cumbersome process. Parallel Domain is the smartest way to prepare both your machines and human operators for the real world, while minimizing the time and miles spent there. Connect to the Parallel Domain API and tap into the power of synthetic data to accelerate your autonomous system development. Parallel Domain works with perception, machine learning, data operations, and simulation teams at autonomous systems companies, from autonomous vehicles to delivery drones. Our platform generates synthetic labeled data sets, simulation worlds, and controllable sensor feeds so they can develop, train, and test their algorithms safely before putting these systems into the real word.

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How is Data Virtualization Shifting the Tailwind in Data Management

Infographic | April 17, 2023

Learn how data virtualization is shifting the tailwind in data management and understand its significance for businesses looking to streamline their data management processes. The infographic provides critical insights into the benefits and impact of data virtualization.

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Benefits of Data Modeling for Businesses

Infographic | February 3, 2022

Data modeling makes it easier for developers, data architects, business analysts, and other stakeholders to view and understand relationships among the data in a database or data warehouse. Benefits of data modeling helps companies take fast data-driven decisions and enhance the business processes at a higher rate.

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Who Should Opt for Business Intelligence Tools?

Infographic | June 24, 2022

In 2020, 54% of enterprises said that cloud BI is very important. Companies with less than 100 employees were more likely to opt for BI.

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Difference Between Data Science and Data Analytics

Infographic | March 12, 2020

Dealing with unstructured and structured data, Data Science is a field that comprises everything that related to data cleansing, preparation, and analysis.Data Science is the combination of statistics, mathematics, programming, problem-solving, capturing data in ingenious ways, the ability to look at things differently, and the activity of cleansing, preparing, and aligning the data.In simple terms, it is the umbrella of techniques used when trying to extract insights and information from data.

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How Big Data is Revolutionizing Healthcare

Infographic | May 2, 2023

The healthcare industry is currently experiencing a significant transformation, as Big Data continues to be leveraged in unprecedented ways. The availability of vast quantities of electronic health records, medical claims, and other health-related data has allowed healthcare providers to harness the power of Big Data in order to drive innovation and improve patient outcomes.

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8 BIG DATA ANALYTICS TRENDS TO EXPECT IN 2021

Infographic | February 12, 2021

Organizations collect huge volumes of data and use efficient methods, including digitization by data entry companies, to turn this data into usable information. Big data analytics refers to the use of advanced techniques to analyze data for constructive use. Emerging technologies such as artificial intelligence and machine learning are driving changes in big data analytics. Let’s take a deeper dive into what’s in store for big data analytics in the coming year.

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Spotlight

Parallel Domain

Training and testing autonomous systems in the real world is a slow, expensive and cumbersome process. Parallel Domain is the smartest way to prepare both your machines and human operators for the real world, while minimizing the time and miles spent there. Connect to the Parallel Domain API and tap into the power of synthetic data to accelerate your autonomous system development. Parallel Domain works with perception, machine learning, data operations, and simulation teams at autonomous systems companies, from autonomous vehicles to delivery drones. Our platform generates synthetic labeled data sets, simulation worlds, and controllable sensor feeds so they can develop, train, and test their algorithms safely before putting these systems into the real word.

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