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3 Things Citizen Data Scientists Need in Predictive Analytics!

Smarten

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Competitive Changes. Market Changes. Trends and Patterns.

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Disrupt and Innovate in a Data-Driven World

Cloudera

If you do an internet search for ‘data-driven disruption’ you can find articles about almost every industry being disrupted by digitalisation and new applications of data. Identify those most at risk or most affected by a problem more accurately by using predictive analytics.

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Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

This article explores the data analyst job description, covering essential skills, tools, education, certifications, and experience. Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. JPMorgan Chase & Co.:

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Some examples of data science use cases include: An international bank uses ML-powered credit risk models to deliver faster loans over a mobile app. An AI-based medical assessment platform analyzes medical records to determine a patient’s risk of stroke and predict treatment plan success rates.

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

In this article, we will explore the importance of Big Data, why enterprises need Big Data tools, how to choose the right Big Data analytics tools and provide a list of the top 10 Big Data analytics tools available today. However, the per-node cost of the Hadoop cluster is around $1000 to $2000 per terabyte.

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Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

Along with the massive growth in sensor data (including location-based and time-based streaming data), there have emerged some special analytics categories that are growing in significance. Data scientists work with business users to define and learn the rules by which analytics models produce high-accuracy early warnings. (c)

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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

There have been so many articles published about AI and its applications, you can find millions of articles from broad concepts to deep technical literature on the internet. This article (like thousands of other articles), is aimed at presenting consolidated information about AI for business in simple language.