Despite all the talk of modernization and cloud migration, the multigenerational IT landscape is here to stay. Yet with the right road map and strategic partnerships in place, it is possible to streamline the transition and gain value from data wherever it resides. Global cloud adoption continues its rapid expansion: IDC forecasts total worldwide spending…
The key goal of a data-centered architecture is data accessibility. Accessibility can impact future business innovation, improve the ability to generate metadata and new data sets, enable search and discovery of the data, and further empower data scientists to deploy said data for machine learning and AI. If captured data is brought to a specific…
Bias in artificial intelligence development has been a growing concern as its use increases across the world. But despite efforts to create AI standards, it is ultimately down to organizations and IT leaders to adopt best practices and ensure fairness throughout the AI life cycle to avoid any dire regulatory, reputation, and revenue impact, according to…