Intentional innovation and agile thinking…
Introduction Artificial intelligence (AI), machine learning (ML), and deep learning (DL) are terms that are commonly used in the technology industry. While these terms are often used interchangeably, they are not the same thing. Each technology has unique features, advantages, Continue reading Comparing Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL)
MIT press has provided a free book on Algorithms for decision making. You can download it from MIT Press here, or alternatively it is available from this site if the original link fails. From the data science website: The book Continue reading Algorithms for decision making: Free book download from MIT
I recently read a paper from the Mckinsey global institute, titled “NOTES FROM THE AI FRONTIER, APPLYING AI FOR SOCIAL GOOD”. (Linked below) The paper defines AI as “Deep Learning” for the purpose of categorization on this particular research. While the definition Continue reading AI use cases – broad applicability
This post covers the same ground as the link in the papers section of the site, but I think it is worth dropping into a post as well. Robotic Process Automation brings together classic Business Process Management (BPM) approaches, and Continue reading Getting started with Robotic Process Automation (RPA)
Robotic Process Automation brings together classic Business Process Management (BPM) approaches, and macro or scripted automation, with a simpler approach to the automation development. In simple terms, RPA is about making the automation accessible without deep development-based integration. RPA allows Continue reading Getting Started With RPA
