Multi-cloud provides flexibility, scalability, and cost efficiency, but securing this architecture requires a comprehensive approach. Frank Domizio explains.
To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making.
This article, by George Trujillo, Principal Data Strategist, DataStaxfocus, focuses on why these three elements and capabilities are fundamental building blocks of a data ecosystem that can support real-time AI.
Gediminas Rickevičius, VP of global partnerships at Oxylabs, says with the help of modern technologies today, businesses can get the most out of public data.
Defenders rightly expect attackers to lie and cheat to achieve their goals, but sometimes we forget that lying and cheating can work both ways
The term ESG emerged in the 2000s as investors examined the role of environmental, social and governance value drivers in asset management and financial research.
A look at how AI and ML-driven techniques can address data management challenges for modern enterprises.
The possibilities for speech tech in the enterprise will require communications professionals to rethink what role "voice" communications will play
When UK-based credit reference agency Callcredit needed a solution to ensure the security of applications developed in-house and by third parties, it added Micro Focus SCA into its development lifecycle. Read the case study to learn how Micro Focus Fortify SCA enables the company to reduce development costs, ensure time-to-market and improve PCI compliance posture.
Predictive analytics plays a crucial role in precision medicine, an approach to healthcare that uses an individual's genetic, lifestyle and environmental data to develop personalized treatment plans.
By analyzing data that athletes generate on the field, AI-and machine learning-powered predictions are preventing injuries and resulting in optimized training regimens.