Why do Transformer models like BERT use GELU instead of the traditional ReLU activation function? The answer lies in how these functions process information. While ReLU completely removes negative inputs, GELU uses a smooth, input-dependent mechanism to decide how much information should pass through. This small mathematical difference can influence how neural networks learn complex […]...
The Business Intelligence & Analytics (BIA) market is being reorganized. Cost pressure is making companies more careful about what they invest in. New data platforms also often bring their own capabilities for data modeling, semantics and analytics. That puts the role of the BIA platform up for debate.
“Governance” has become a fixture in enterprise AI announcements. Identity, security, orchestration, infrastructure, and data platform vendors offer products for agent safety, governance, and control, bringing welcome attention to a problem enterprises need to solve. As the claims grow broader, CIOs and risk leaders need to get more precise about what they are buying. Look...
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When an AI agent fails to complete a task, upgrading the model can seem like the obvious next step. Yet an agent’s performance also depends on how it receives instructions, uses tools, and manages its work. Understanding those factors can reveal opportunities to improve reliability with the model already in place. Google Research’s Harness² examines […]
The post Harness²: Improving AI...
Retiring workers can take operational knowledge with them, while difficult-to-use enterprise systems leave other information underused. In this episode, Vaibhav Kumar, Global Chief Technology Officer at IFS, joins Emerj's Eysan Yazici to examine how conversational AI could help industrial teams capture knowledge and access business information more directly. He discusses reducing...
GPU clusters sit idle and budgets balloon when storage can't keep pace with how fast AI workloads are scaling. In this episode, Cameron Bahar, GM of Scale AI at Everpure, explores how storage architecture must shift from rigid, single-purpose systems to flexible, cloud-like models built for constant change. The conversation covers the move from training to inference and agentic workloads,...
This summer, hundreds of OpenAI agents tried to cheat on a cybersecurity test. They broke out of their test environment and successfully hacked Hugging Face, a site that they believed held clues about how they’d be graded. Around the same time, another OpenAI agent accessed private files from an Australian government website. It’s a problem…
When preparing for a presentation, most people run through slides at their desk, perhaps talking to their screen and making updates here and there. But what if you could walk and talk to your slides and make changes as you move? Could you find a way to rehearse on the go, one slide at a time, using an AI system capable of actually helping?
Python, APIs, cloud deployment. You’ll find these skills in both forward deployed engineer and AI engineer job descriptions. Yet the two jobs can lead to very different working days. An FDE might spend the morning tracing a customer’s approval process before writing an integration. A product AI engineer might spend it investigating why the same […]
The post FDE vs AI Engineer: Roles,...
In this special episode, we bring you highlights from three talks at the Midwest AI Summit. Heidi Porter explores how to build reliable AI-augmented workflows using the right tools, evaluations, and guardrails. Kevin Solorio shares why building AI with frontline workers, not just for them, is key to earning trust and driving adoption, emphasizing collaboration and continuous feedback. And...