Remove 2034 Remove Analytics Remove Business Intelligence
article thumbnail

Must Know Differences Between Data Science and Data Analytics

Pickl AI

Summary: The difference between Data Science and Data Analytics lies in their approachData Science uses AI and Machine Learning for predictions, while Data Analytics focuses on analysing past trends. Data Science requires advanced coding, whereas Data Analytics relies on statistical methods. What is Data Analytics?

article thumbnail

Exalytics, Exalogic, and Exadata

Pickl AI

Summary: Oracle’s Exalytics, Exalogic, and Exadata transform enterprise IT with optimised analytics, middleware, and database systems. AI, hybrid cloud, and advanced analytics empower businesses to achieve operational excellence and drive digital transformation. million by 2034, growing at an impressive CAGR of 14.2%.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Understanding the Synergy Between Artificial Intelligence & Data Science

Pickl AI

Healthcare Data Science is revolutionising healthcare through predictive analytics, personalised medicine, and disease detection. Businesses use data to predict trends, personalise marketing efforts, and increase conversion rates. Comprehensive Coverage: Encompasses various topics from Machine Learning to business intelligence.

article thumbnail

Business Analytics Process: Essential Steps for Smart Strategies

Pickl AI

Summary: The business analytics process transforms raw data into actionable insights through a structured approach. It helps businesses optimise operations, forecast trends, and improve decision-making. Learn business analytics through Pickl.AIs expert-led courses. billion by 2034. billion in 2025 to $124.93