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Skilled IT pay defined by volatility, security, and AI

CIO Business Intelligence

There’s also strong demand for non-certified security skills, with DevSecOps, security architecture and models, security testing, and threat detection/modelling/management attracting the highest pay premiums. AI skills more valuable than certifications There were a couple of stand-outs among those.

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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. In business, predictive analytics uses machine learning, business rules, and algorithms.

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MRO spare parts optimization

IBM Big Data Hub

Over time, inventory managers have tested different approaches to determine the best fit for their organizations. Considering that IDC surveyed 37% of companies that manage spare parts inventory by using spreadsheets, email, shared folders or an uncertain approach, it becomes evident that this practice carries more risk than it might seem.

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The Role Of Technology In A Changing Financial Services Sector Part II

Cloudera

One of the key takeaways from recent times that should be considered into the future, is that banks need to rethink how they look at tail risk or extreme events that rarely happen. . This is critically important for predicting risk exposures. Prescriptive analytics provides decision-makers with thousands of potential future scenarios.

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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.’ Hypothesis Testing. Competitive Changes. Trends and Patterns. Forecasting. Classification. Descriptive Statistics.

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

IBM Big Data Hub

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. This post will dive deeper into the nuances of each field. What is data science? Data science is a broad, multidisciplinary field that extracts value from today’s massive data sets.

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

FineReport

These professionals collaborate with IT teams, management, or data scientists to align analytical efforts with organizational objectives across various industries. Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios.