Remove 2026 Remove Data Analysis Remove Predictive Analytics
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What is AI Marketing? A Complete Guide

Data Science Dojo

AI marketing refers to the use of artificial intelligence technologies to make automated decisions based on data collection, data analysis, and additional observations of audience or economic trends. Gartner predicts that by 2027, 25% of all customer service interactions will be handled by AI-powered chatbots.

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Navigating the 2024 Data Analyst career growth landscape

Pickl AI

Summary: The blog delves into the 2024 Data Analyst career landscape, focusing on critical skills like Data Visualisation and statistical analysis. It identifies emerging roles, such as AI Ethicist and Healthcare Data Analyst, reflecting the diverse applications of Data Analysis.

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Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

Patterns, trends and correlations that may go unnoticed in text-based data can be more easily exposed and recognized with data visualization software. Data virtualization is becoming more popular due to its huge benefits. billion on data virtualization services by 2026. Prescriptive analytics.

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Understanding the Synergy Between Artificial Intelligence & Data Science

Pickl AI

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Introduction Artificial Intelligence (AI) and Data Science are revolutionising how we analyse data, make decisions, and solve complex problems.

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Skills Required for Data Scientist: Your Ultimate Success Roadmap

Pickl AI

This strong influence has increased the demand for skilled Data Scientists, making it one of the most sought-after professions. million new jobs by 2026. By understanding the core competencies and the typical Data Science syllabus, readers will gain a clear path to developing the necessary skills to become successful Data Scientists.

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Maximizing SaaS application analytics value with AI

IBM Journey to AI blog

And by 2026, more than 80% of companies will have deployed AI) ) AI-enabled apps in their IT environments (up from only 5% in 2023). They may also struggle to fully leverage the predictive capabilities of app analytics. Predictive analytics. Predictive analytics are equally valuable for user insights.