Posts Tagged

Big Data

The Future Of Healthcare Data Security
HealthcareBig DataContributorsFeaturedInternet of Things

The healthcare industry, like many sectors, is undergoing a substantial data-driven transformation. New technologies like telehealth platforms and the internet of things (IoT) generate more granular medical data and make it more accessible. While this has many benefits, it also raises considerable healthcare data security concerns. There were 714 healthcare

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Artificial Intelligence In Sports
Data ScienceArtificial IntelligenceBig DataFeatured

Artificial Intelligence in sports makes its presence felt in every corner of the world, from post-game analysis to in-game action to fan experience. If you watched the movie Moneyball, you must be in your element about how data-driven performance optimization in sports works and changes the games we dearly love

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Researchers Developed A New Model In Order To Enable Ai To Detect Occluded Objects. These Systems Must Make Assumptions Based Only On The Parts Of Things That Are Visible In Situations Where Objects Are Not Entirely Visible.
Artificial IntelligenceFeaturedNews

Researchers developed a new model in order to enable AI to detect occluded objects. These systems must make assumptions based only on the parts of things that are visible in situations where objects are not entirely visible. This partial information causes detection mistakes, and large training data is required to

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Database Paradigm Shift
Big DataContributorsFeaturedStartupsTechnology & IT

The amount of data we create is increasing by the hour, which has resulted in organizations struggling to deal with data accumulation and analysis. Things can get chaotic pretty quickly with IoT devices, applications, manual entry, and many other sources constantly generating data with different or no structures. Anyone who

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What Is Data As A Service, Daas Definition, How Does It Work, Benefits, Challanges, Pillars Of Advanced Daas Solutions...
Data ScienceBI & AnalyticsBig DataFeatured

Data as a service (DaaS) is a data management approach that uses the cloud to offer storage, integration, processing, and analytics capabilities through a network connection. The DaaS architecture is based on a cloud-based system that supports Web services and service-oriented architecture (SOA). DaaS data is stored in the cloud,

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What Is Data Curation, Definition, How Is Data Curated, Benefits , Difference Between Data Curation Vs Data Governance, All About Data Curator &Amp; Data Steward
Big DataData ScienceFeaturedUnderstanding Big Data

Data curation is the active management of data throughout its lifecycle of interest and usefulness. The lifespan of data is determined by how long analysts and researchers are interested in it, which means as long as it can be reused to create more value. What is data curation? The process

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Is Dataops More Than Devops For Data?
Data ScienceData Science 101FeaturedTopicsUnderstanding Big Data

DataOps and DevOps are collaborative approaches between developers and IT operations teams. The trend started with DevOps first. This communication and collaboration approach was then applied to data processing. Both methods argue that collaboration is the primary approach for application development and IT operations teams, but they target different operation

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Smes Can Benefit From Big Data Just Like An Enterprise
Big DataData ScienceFeaturedTopics

Although Big Data is primarily thought of as a technology used by large companies, many benefits can be derived from big data technologies by small and medium-sized companies (SMEs). Big Data benefits for SMEs at a glance One of the primary benefits of Big Data is the ability to gain

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Enterprise Data Sovereignty
Big DataContributorsFeatured

Data sovereignty is becoming a hot topic, but almost all articles on the subject and the bulk of the proposed solutions focus on consumers and their ability to own their data. Enterprise data sovereignty is a different beast, but it operates on the same principle – making data “free.” By free, we

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Top 6 Trends In Data Analytics
Big DataBI & AnalyticsContributorsData ScienceFeatured

For decades, managing data essentially meant collecting, storing, and occasionally accessing it. That has all changed in recent years, as businesses look for the critical information that can be pulled from the massive amounts of data being generated, accessed, and stored in myriad locations, from corporate data centers to the cloud

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