Synthetic data can be incredibly valuable with AI and machine learning but it must be used only when it’s necessary and with caution.
Tony Uphoff makes a case for cybersecurity as a growth driver, and offers five ways that CEOs can capitalize on it today.
With rising pressure on the global healthcare industry, healthcare organizations are turning to hyperautomation technologies to provide better health outcomes.
Wayne Sadin shares takeaways from a recent panel discussion he attended, which covered topics from data management to AI and machine learning bias.
Bob Evans offers highlights from his one-on-one interview with Workday co-CEO Aneel Bhusri, who discussed the rise of AI/ML, his new role, and customers.
Oracle has laid out its new artificial intelligence (AI) strategy. Bob Evans shares details of this plan, including more intelligence and stronger business outcomes.
Enterprises that leverage technology are more likely to weather the storms of, and even thrive during, challenging economic times. Here’s how partners can help.
Workday has mapped out 38 “future of work” use cases that leverage artificial intelligence (AI) and machine learning (ML) technologies. Bob Evans reviews the use cases.
Workday’s 38 use cases that leverage AI and ML technologies focus on the growth, simplification, and innovation of businesses.
Revolut tapped Couchbase software to help it fight evolving fraud attacks. The app it developed fought fraud and much more, netting millions in savings.
How organizations can balance their expanding use of AI against the need to manage the data governance process — while increasing the value and velocity of data.
Machine learning comes with many benefits for cybersecurity, but cutting-edge bad actors are looking to exploit ML for their own gain. Chris Hughest explains how to fight “adversarial ML.”
Frank Domizio explains why cybersecurity professionals must continuously be on the lookout for ways in which the zero trust security model could become vulnerable to ever-evolving attackers.
Supply chain strategies have evolved over the years, but we’re on the precipice of a new era of innovation in this area thanks to five new technologies.
The considerable benefits of multi-cloud architecture must be weighed against challenges like complexity and governance.
AI and automation can protect against financial and reputational losses from data theft and ransomware in financial software, writes Bill Doerrfeld.
Multi-cloud is a key driver of digital transformation for many organizations, but it’s not always easy to get your workforce on board. Here’s how.
CPOs can use tools like outcome-based agreements and agile contracts, among others, to help professional services companies make wise tech investments.
AI accuracy depends on the quality of the data it is fed. Toni Witt explores ways that datasets can be cleaned, or even generated, to make AI better.
By analyzing data that athletes generate on the field, AI-and machine learning-powered predictions are preventing injuries and resulting in optimized training regimens.