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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

With its vast assortment of sensors and streams of data that yield digital insights in situ in almost any situation, the IoT / IIoT market has a projected market valuation of $1.5 trillion by 2030. RFID), inventory monitoring (SKU / UPC tracking).

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. And you should have experience working with big data platforms such as Hadoop or Apache Spark.

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Pay for in-demand IT skills rises fastest in 14 years

CIO Business Intelligence

It is not always the newest technologies that pay the best. There is also a great deal of volatility in the rankings, making it difficult to base long-term career or IT strategy decisions on one quarter’s numbers. The data and databases segment was the most volatile, with more than half the skills surveyed changing in value, 39.7%

IT 116
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Pay for in-demand IT skills rises fastest in 14 years

CIO Business Intelligence

It is not always the newest technologies that pay the best. There is also a great deal of volatility in the rankings, making it difficult to base long-term career or IT strategy decisions on one quarter’s numbers. The data and databases segment was the most volatile, with more than half the skills surveyed changing in value, 39.7%

IT 87
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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

As the use of intelligence technologies is staggering, knowing the latest trends in business intelligence is a must. Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. Prescriptive Analytics.

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

FineReport

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

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

BizAcuity

The widespread adoption of AI technology is fueled by 3 major challenges that businesses have been facing since the last decade. By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. AI Adoption and Data Strategy.