Real-time Analytics News for the Week Ending January 25
In this week's real-time analytics news: C3 AI and McKinsey team to help businesses accelerate Enterprise AI transformations at scale.
In this week's real-time analytics news: C3 AI and McKinsey team to help businesses accelerate Enterprise AI transformations at scale.
The rise of the intelligent interface is a monumental step in the ongoing digital transformation journey. As AI systems continue to develop, they will reshape the way businesses operate, redefining the boundaries between the physical and digital worlds.
Human-machine collaboration in smart manufacturing drives consumer-focused innovation, enabling personalized designs, sustainable practices, and faster production.
2025 promises to be a turning point for IT metrics, sustainability, and security. Organizations that proactively address these challenges will emerge stronger and more resilient in an increasingly competitive landscape.
In this week's real-time analytics news: Multiple companies partner to improve advanced auto safety features using AI and other emerging technologies.
For those industrial organizations in the early stages of a digital transformation, condition-based maintenance represents a significant step forward. It can help enhance operational efficiency, reduce costs, and improve safety.
Keys to Industry 4.0 success: Aligning digital transformation initiatives with clear business goals and investing in both technology and people.
Data lineage has evolved from a compliance tool into a key enabler of data reliability and trust. By making lineage a central part of their observability practices, organizations can resolve issues faster, improve operational efficiency, and build trust in the decisions driven by their data.
By prioritizing data literacy, investing in education, and continually reassessing the role of humans in an AI-driven world, companies can achieve a productive balance between technology and human creativity.
Today’s data lakehouse requirements can include real-time data sources and high-performance queries to provide almost real-time insights. Learn how Kafka streams and powerful query engines can extend a lakehouse’s capabilities.