LEVERAGING BIG DATA FOR PATIENT-CENTRIC HEALTHCARE

Experts estimate that by 2020, the universe of health data will expand to 25,000 petabytes. 50x more than existed in 2012. Gaining actionable insights requires aggregating data from disparate sources Some of this data is structured But almost 80% is unstructured Electronic health records Medical claims data Data from wearable devices, Physicians’ notes Lab and medical image data Patient reported outcomes (e.g., survey data) Big data analytics tools are helping healthcare organizations make quality of care improvements for both common and chronic conditions

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Gurucul

Gurucul is a global cybersecurity company that is changing the way organizations protect their most valuable assets, data and information from insider threats and external cyberattacks, both on-premises and in the cloud. Gurucul’s real-time Cloud-native Next-Gen Security Operations and Analytics Platform provides customers with Open XDR, Next Generation SIEM, UEBA, and Identity & Access Analytics. It leverages machine learning behavior profiling with predictive risk-scoring algorithms to predict, detect and prevent data breaches, fraud and insider threats. It also reduces the attack surface for accounts and eliminates unnecessary access rights and privileges to increase data protection.

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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Data Science vs Computer Science vs Data Analytics

Infographic | May 14, 2021

With the rapid development of the technology sector, it can be quite a challenge to keep up with all the niches and stay current on their advancements. Of the many fields that are responsible for the increasing buzz in the sector, Data Science, Computer Science, and Data Analytics are three critical domains that spearhead the revolution in technology.

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5 Biggest Enterprise Data Science Trends to Unlock Success in 2022

Infographic | June 1, 2022

Data science is a powerful source of innovation and business value.

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Is Business Intelligence Worth the Hype?

Infographic | June 24, 2022

33% of large-sized businesses will practice decision intelligence by 2023. In 2011, mobile business intelligence saw a jump of 260% in tablet sales. The global business intelligence market is expected to grow to over $33.3 billion by 2025.

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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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Spotlight

Gurucul

Gurucul is a global cybersecurity company that is changing the way organizations protect their most valuable assets, data and information from insider threats and external cyberattacks, both on-premises and in the cloud. Gurucul’s real-time Cloud-native Next-Gen Security Operations and Analytics Platform provides customers with Open XDR, Next Generation SIEM, UEBA, and Identity & Access Analytics. It leverages machine learning behavior profiling with predictive risk-scoring algorithms to predict, detect and prevent data breaches, fraud and insider threats. It also reduces the attack surface for accounts and eliminates unnecessary access rights and privileges to increase data protection.

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