Fri.Aug 27, 2021

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Create Stock Exchange Dashboard using Dash in Python!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Dash is an open-source web framework for creating analytical dashboards and data visualizations. It helps data analysts to deploy dashboards and serve these dashboards to the main web application. Dash constitutes of three technologies: 1. Plotly.js- It is used for creating beautiful charts […].

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How DataOps is Transforming Commercial Pharma Analytics

DataKitchen

DataOps has become an essential methodology in pharmaceutical enterprise data organizations, especially for commercial operations. Companies that implement it well derive significant competitive advantage from their superior ability to manage and create value from data. They will be able to produce high-quality, on-demand insight that consistently leads to successful business decisions.

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Text Preprocessing techniques for Performing Sentiment Analysis!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview In today’s world, one of the biggest sources of information is text data, which is unstructured in nature. Finding customer sentiments from product reviews or feedbacks, extracting opinions from social media data are a few examples of text analytics. Finding insights from text […].

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Optimize the University Experience with AI

DataRobot

Organizations in different industries use artificial intelligence (AI) , machine learning , and data science to uncover deep insights about their processes and procedures that help them make predictions to allocate resources and increase productivity. These same benefits could also help universities better serve their students and protect their bottom line.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Top 3 Trends in End-User Computing Redefining the Workplace

CDW Research Hub

As work-from-home became the norm around the globe over the past year, there has been a paradigm shift from traditional workplace environments to working remotely. End-user computing (EUC) —powered by technologies such as virtualization, mobile computing and cloud computing—has played a major role in this shift. Below are three key trends in end-user computing (EUC) that are changing the face of the workforce. 1.

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Gartner re-affirms Nutanix leadership in HCI category

Nutanix

This report scores Nutanix based on criteria for HCI solutions. Nutanix continues to build its HCI stack, extend capabilities to Hybrid Multi-cloud, and grow and extend its partnerships in enterprise data centers with HPE Greenlake® and in Cloud Native and container capabilities with Red Hat OpenShift®, Google Anthos™, and Microsoft ARC™ solutions.

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Microsoft BC Connector Updated: What You Should Know

Jet Global

When a company moves from a traditional on premise ERP system to a multi-tenant cloud product such as Microsoft Dynamics 365 Business Central (D365 BC) , there are usually some fundamental changes to the way you generate reports. In an on-premise environment, you generally have complete control of your database server. You can do whatever you want with it, because no one else stores their data there.