When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

It seems like everyone wants to get an AI tool developed and deployed for their organization quickly—like yesterday. Several customers I’m working with are rapidly designing, building and testing ...

As artificial intelligence edges into every aspect of our life, it’s becoming clear that the broad capabilities of large language models (LLMs) like those from OpenAI aren’t always the perfect fit for ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Governments, citizens, and companies around the world are increasingly taking action to reduce greenhouse gas (GHG) emissions. For investors, monitoring the GHG emissions of their portfolio companies ...

A guide to the 10 most common data modeling mistakes Your email has been sent Data modeling is the process through which we represent information system objects or entities and the connections between ...

Introduction Demographic change is resulting in a growing number of individuals requiring nursing care, while the ...