BIG DATA MANAGEMENT

Big Data Analytics and IoT

May 10, 2022

Big Data Analytics
IoT has the potential to increase delivery and supply chain by 15%. Globally, $1 trillion is expected to be spent on Internet of Things (IoT) technology. By 2025, data collected from IoT devices is expected to be 73 ZB.

Spotlight

Rulex, Inc.

Rulex Inc. offers the first-ever cognitive machine learning platform for the enterprise and the Internet of Things. The Rulex® platform eliminates the programming and math skills, speculative data exploration, and iterative experimental modeling required by conventional machine learning algorithms, dramatically accelerating, simplifying, and lowering the cost of Data Science. Rulex’s unique Logic Learning Machine software is based on groundbreaking academic and government research, and has been proven in business and IoT applications in Retail, Telecom, Healthcare, and Financial Services, and other industries. The Rulex LLM is different from other machine learning algorithms. It automatically discovers the most important source data and automatically creates the most efficient predictive models, in the form of fully transparent if-then logic rules, rather than “black box” mathematical functions. These rules can therefore be easily understood and audited by business and data analysts,

Other Infographics
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Global Data Transfer Mechanisms Infographic

Infographic | August 17, 2021

The way in which organizations can transfer personal data changed significantly following the CJEU’s judgement in the Schrems II case in 2020. This infographic highlights a number of global data transfer mechanisms that organizations can use to transfer personal data including EU adequacy decisions, Binding Corporate Rules, and Standard Contractual Clauses.

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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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Monetizing Data The Concept of Value Engineering

Infographic | April 14, 2021

Data Analytics is the way forward for organizations looking to maintain a competitive advantage. The best way to boost the bottom line and secure a bright future is by monetizing data. Start your Data Analytics journey right away and boost the economic value driven by your data.

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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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Complying with GDPR with the Help of Data Virtualization

Infographic | August 22, 2022

GDPR is the European Union’s (including the UK) data protection law that came into effect on May 25, 2018. Such a data protection law also exists in the United States,known as the California Consumer Privacy Act.

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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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Spotlight

Rulex, Inc.

Rulex Inc. offers the first-ever cognitive machine learning platform for the enterprise and the Internet of Things. The Rulex® platform eliminates the programming and math skills, speculative data exploration, and iterative experimental modeling required by conventional machine learning algorithms, dramatically accelerating, simplifying, and lowering the cost of Data Science. Rulex’s unique Logic Learning Machine software is based on groundbreaking academic and government research, and has been proven in business and IoT applications in Retail, Telecom, Healthcare, and Financial Services, and other industries. The Rulex LLM is different from other machine learning algorithms. It automatically discovers the most important source data and automatically creates the most efficient predictive models, in the form of fully transparent if-then logic rules, rather than “black box” mathematical functions. These rules can therefore be easily understood and audited by business and data analysts,

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