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Data engineers are vital members of any enterprise data analytics team, responsible for managing, optimizing, overseeing, and monitoring data retrieval, storage, and distribution throughout the organization.
By adding its Einstein generative AI capabilities to Net Zero Cloud, Salesforce hopes to help enterprises get ahead of new sustainability reporting rules.
Julia Anderson, chief technology and information officer at Campbell Soup Company, and Kristen Lamoreaux, president and CEO of recruitment firm Lamoreaux Search, join CIO.com’s Maryfran Johnson to discuss talent development, the benefits of sha
Defense departments around the world are exploring generative AI to modernize military capabilities and achieve breakthrough innovations.
Jennifer Hartsock, CDIO at Cargill Incorporated, joins CIO.com’s Maryfran Johnson to speak about elevating the digital and data mindset, and how the company’s ‘better together’ ethos helps to navigate its IT operating model tr
Just like large parts of the construction industry, digitization has come relatively late to Swedish civil engineering company Svevia. But here, CIO Maria Wester details how a cloud-based digital infrastructure has been built for the entire company,
On the road from data to business intelligence, Dow discovered a good first step is not only looking at where information might be used but how it can be woven into the cultural fabric of the company.
Proper data integration, modeling, and maintenance make up the unglamorous but necessary foundation for high-impact analytics and AI applications. Without it, data is too hard to access and, even if can be analyzed, will deliver inaccurate results.
Thermo Fisher Scientific CIO Ryan Snyder discusses a tiered model used to turn data into value at the $40 billion laboratory equipment and instrument maker.
With natural catastrophes on the rise, the global reinsurer is leveraging predictive analytics and AI to help its insurer clients better anticipate claims and process them quicker in a disaster’s wake.