Remove 2034 Remove Business Intelligence Remove Predictive Analytics
article thumbnail

Must Know Differences Between Data Science and Data Analytics

Pickl AI

Predictive Analytics This forecasts future trends based on past data; businesses use it to anticipate customer demand, stock market trends, or product performance. For example, a weather app predicts rainfall using past climate data. billion by 2034, with an annual growth rate of 16.2%.

article thumbnail

Exalytics, Exalogic, and Exadata

Pickl AI

million by 2034, growing at an impressive CAGR of 14.2%. Exalytics: The In-Memory Analytics Machine Oracle Exalytics is a pioneering solution for in-memory analytics and business intelligence. From advanced modelling to strategic forecasting, Exalytics transforms how organisations approach business intelligence.

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. For example, it helps predict patient outcomes, optimise hospital operations, and discover new drugs. Finance: AI-driven algorithms analyse historical data to detect fraud and predict market trends.