The future of cybersecurity will be defined by new threats emerging from AI and machine learning and evolving cloud vulnerabilities. As such, organizations will need to focus on Zero Trust and supply chain security to remain agile, proactive, and resilient.
The true value of intelligent manufacturing technologies like AI, digital twins, IoT, and more is unlocked when people are empowered to oversee, adapt, and optimize their use.
As the demand for real-time insights and decision-making continues to grow, the ability to process and analyze data instantly is becoming a competitive differentiator for organizations across all industries.
In this week's real-time analytics news: MLCommons released the results of its latest benchmark tests.
By adopting data-driven training solutions like XR, the aviation industry can effectively ensure engineers and mechanics have the necessary skillsets required for the most advanced aircraft while maintaining the highest standards of safety and efficiency.
As capital markets continue to evolve, the adoption of AI, digital twins, and data immediacy will be critical for firms looking to maintain their competitive edge. Such technologies are needed to drive superior outcomes in an increasingly complex and dynamic market environment.
In this week's real-time analytics news: FICO improves real-time decision-making with enhancements to its FICO Platform.
Businesses need an AI strategy that fosters a culture of innovation and collaboration, requiring multiple teams to break silos across data, processes, and workflows.
Digital twin and other technologies are essential for the design and engineering of an electric drive. Combined, they allow different types of engineers to collaborate within a single environment.
It’s not 2014 anymore. It’s 2024. Real-time analytics are available now. A decade of innovation has produced an Apache Pinot that is enterprise-ready and can even integrate directly with your Gen AI initiatives as a vector index datastore.