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The Future of AI in Data Warehousing: Trends and Predictions 

Astera

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations.

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Data Science vs Data Analytics: Key Differences

Astera

On the other hand, Data Science is a broader field that includes data analytics and other techniques like machine learning, artificial intelligence (AI), and deep learning. It involves visualizing the data using plots and charts to identify patterns, trends, and relationships between variables.

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A Complete Guide to Data Analytics

Astera

The process involves examining extensive data sets to uncover hidden patterns, correlations, and other insights. With today’s technology, data analytics can go beyond traditional analysis, incorporating artificial intelligence (AI) and machine learning (ML) algorithms that help process information faster than manual methods.

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Will Data Management in Operational Technology Finally Be Standardized?

Actian

OT is an umbrella term that describes technology components used to support a company’s operations – typically referring to traditional operations activities, such as manufacturing, supply chain, distribution, field service, etc. Why operational technology data management may never be standardized.

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Better Analytics Through AI: Our Take on Gartner’s AI Trends

Sisense

How exactly is all that data going to talk to each other and come together to provide the end-to-end analysis? Knowledge graphs will be the base of how the data models and data stories are created, first as relatively stable creatures and, in the future, as on-demand, per each question. Trend 5: Augmented data management.

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150+ Top Global Cloud Thought Leaders and Next Generation Leaders of 2021

Whizlabs

Currently she works at Microsoft and concentrates mainly on cloud computing, edge computing, distributed systems and architecture, and a little bit of machine learning and artificial intelligence. Navin is the founder of WoWExp , which transforms the Industry with Augmented Reality and Artificial Intelligence.

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The Benefits, Challenges and Risks of Predictive Analytics for Your Application

Insight Software

Predictive analytics refers to the use of historical data, machine learning, and artificial intelligence to predict what will happen in the future. Predictive analytics is becoming more common across all business applications, like CRM, supply chain and marketing automation.