Posts In Category

Data Science

While the field of data science is not tied directly to Big Data, advances in one tends to produce advances in the other. Big Data increases our ability to harvest and process data, while data science allows us to dig into it for insights.

Applied Data Hackathon
EventsData ScienceFeaturedTechnology & IT

From February 28 to March 7, 2022, the Applied Data Hackathon welcomed data scientists with entrepreneurial spirits from multiple backgrounds. Participants tackled three challenges or brought their own, intending to solve some of the most pressing real-world problems we face today. The satisfaction of coming up with original and inspiring

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Erp Vs Crm A Comprehensive Comparison
BI & AnalyticsData ScienceFeaturedTopics

Delving into ERP vs CRM, one needs to make a detailed comparison to decide as Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM) are the most common software tools businesses use to automate core business activities. ERP connects a company’s financial and operational systems to a central database, allowing

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Artificial Intelligence Call Center Ai'S Impact On The Customer Service
Data ScienceArtificial IntelligenceFeaturedRetail & Consumer

The Artificial Intelligence Call Center era has begun. Call centers have long used cutting-edge technology, from call routing systems that sent consumers to the first available agents to interactive voice response (IVR) systems that millions of customers interact with today. With artificial intelligence (AI) gaining traction in the early 2000s,

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Parallel Computing In Data Mining And Analysis
Data Science 101Data ScienceFeaturedTopics

Parallel Computing, also referred to as Parallel Processing, is a computing architecture that uses several processors to handle separate parts of an overall task. The architecture divides complex problems into small computations and distributes the workload between multiple processors working simultaneously. Parallel computing principles are employed in most supercomputers to

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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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What Is Data Redundancy?
Data Science 101Data ScienceTopics

Data redundancy means keeping data in two or more locations within a database or storage infrastructure. Data redundancy can occur either intentionally or accidentally within an organization. In case of data corruption or loss, the organization can continue operations or services if conscious redundancy is provided. On the other hand,

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What Is Data Governance?
Data Science 101Data ScienceTopics

Data governance is becoming increasingly essential as businesses confront new data privacy regulations and rely more on data analytics to optimize operations and make business decisions. Data governance is the process of collecting, managing, and utilizing data to provide improved business decision-making. It encompasses everything a company and its teams

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Energy And Environment Data And Ai Startups
Energy & EnvironmentArtificial IntelligenceContributorsData ScienceFeatured

Energy and the environment were significant threads covered at Web Summit and garner additional importance when considering the travel and accommodation footprint created by almost 44,000 attendees. It calls for greater awareness of the CO2 produced by the event and its participants. While Web Summit took place on the same

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Python For Data Engineers
Data ScienceContributorsFeaturedResources

Python is one of the most popular programming languages worldwide. It often ranks high in surveys: for instance, it claimed the first spot in the Popularity of Programming Language index and came second in the TIOBE index. The chief focus of Python was never web development. However, a few years ago, software engineers realized

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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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