In our work with Fortune 500 companies, we have found IT organizations ... end of a project The increased frequency and quality of customer interactions is a hallmark of product-based IT.

Here's how to apply the five stages of design thinking in your data science projects ... data and analytics as products. Instead of building many one-off data tools based on people’s requests ...

Allegion SVP and chief information and digital officer, responsible for IT and security, data and analytics ... begun to pivot their organizations from project to product portfolio management ...

Drawing from my experience in creating teams across products and ... what "value" means for the organization, using specific, measurable outcomes that data science projects will enhance.

As tech firms become increasingly involved with using data and data science ... director of product, Caitlin Augustin, and Afua Bruce, the organization's chief program officer, said it is important to ...

AI was of interest only to a small team of people in the data science organization with advanced degrees in statistics or computer science. AI—and especially its newest star, generative AI—is ...

The last decade has seen an explosion of data generation from individuals, businesses and institutions worldwide. As these organizations ... Computer Science and Information Science guide students ...

The authors describe the development and organization ... projects formerly managed by the Drug Product and Drug Substance Technical Committees. Manufacturing Technical Committee (MTC). The MTC ...