Datamation

Nov 3, 2024 | datamation.com | Anina Ot

Data simulation is the process of generating synthetic data that closely mimics the properties and characteristics of real-world data. Simulated data has the advantage of not needing to be collected from surveys or monitoring software or by scraping websites—instead, it’s created via mathematical or computational models, offering data scientists, engineers, and commercial enterprises access to training data at a fraction of the cost.

Aug 2, 2024 | datamation.com | Kezia Grace Jungco

The best data analytics tools do more than just pull different types of data and help users prepare and analyze them to glean insights. They go beyond the basic functionality, integrating artificial intelligence and machine learning (AI/ML) to streamline data processes with robust workflow automation and transform complex data into actionable information. We compared the most popular platforms on the market to see how they matched up on key features and prices.

Jun 24, 2024 | datamation.com | Kezia Grace Jungco

The top AI companies are leading the way in developing and deploying cutting-edge artificial intelligence applications across nearly every sector, from healthcare and finance to e-commerce, cybersecurity, and manufacturing.

May 26, 2024 | datamation.com | Liz Ticong

Data-driven decision-making is an approach that emphasizes using data and analysis instead of intuition to inform business decisions. It involves leveraging such data sources as customer feedback, market trends, and financial data to guide decision-making processes.

May 15, 2024 | datamation.com | Kezia Grace Jungco

AI certifications provide you with the expertise you need to work in the field of artificial intelligence while demonstrating to potential employers or customers that you possess a baseline level of knowledge and experience in AI development. Most certification curricula focus on the programming and math behind the fundamental topics within AI, with a heavy emphasis on machine learning (ML), deep learning (DL), natural language processing (NLP), and their practical applications.