Salvatore Salamone

The release of the new Chinese chatbot DeepSeek-R1, which uses lower-powered processors, sent shockwaves throughout the industry. Some have called it a Sputnik moment for AI.

In this week’s real-time analytics news: C3 AI and McKinsey team to help businesses accelerate Enterprise AI transformations at scale.

By integrating AI, automakers not only streamlining their operations but also lay the groundwork for transformative changes in the industry.

In this week’s real-time analytics news: Informatica and Databricks announced deeper integrations of their respective offerings.

The new electric vehicle technologies showcased at CES provide a glimpse of what is possible in the coming years.

For manufacturers, mastering EV thermal management through design innovations is not just a technical necessity but also a competitive advantage.

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.

vPLCs offer a shift from traditional hardware-dependent systems to software-centric solutions. Industry analysts expect them to gain traction in the coming years.

Enterprise data quality needs sophisticated, proactive data management approaches that leverage observability data (e.g., data lineage) to automatically apply monitoring, identify data quality issue impacts, and summarize observability insights using Generative AI.

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.