All Eyes on Gen AI, But Industrial AI will Get a Huge Piece of the Action
Industrial AI is enhancing automation, predictive maintenance, and quality control, leading to improved efficiency and cost
Topic: Generative AI
The Build vs. Buy AI Dilemma in 2025: Lessons from DeepSeek’s Emergence
DeepSeek’s emergence reinforces the reality that AI success isn’t solely about who builds the biggest model – it’s about who deploys AI in the most …
Transforming Data Chaos into Clarity with A Semantic Layer
As BI applications embrace Gen AI, the clarion call for providing them with well-defined data becomes even more pertinent. With a robust semantic layer that …
History Repeats: Cloud Technology’s Blueprint for Generative AI Adoption
The patterns of technology adoption continue to be predictable, with GenAI following the same path cloud computing blazed before it. Just as cloud architecture …
In Defense of Keeping a Human in the AI Loop
Does every AI application need a human in the loop? No. Of course not. The challenge is determining which applications need human input and
Real-time Analytics News for the Week Ending April 5
In this week's real-time analytics news: The latest round of MLCommons Inference benchmark tests show that hardware and software advances optimized for …
New Survey Shows Cautious Optimism for AGI
The AI community outlines where we are in achieving artificial general intelligence (AGI) and what’s important on the
Revisiting Root Cause Analysis in the Age of AI
By leveraging AI and comprehensive data management, organizations can enhance the efficiency and effectiveness of root cause analysis in industrial operations, …
Top 5 Challenges When Integrating Generative AI
Instead of focusing on AI model comparisons or rushing to deploy AI across all business users, leaders should build structured frameworks that guide AI …
Exploring the DeepSeek Conundrum
DeepSeek’s rise has created a significant disruption in the AI space, challenging traditional models that rely on expensive infrastructure.