AI & RoboticsNews

AWS doubles down on infrastructure as strategy in the AI race with SageMaker upgrades

AWS seeks to extend its market position with updates to SageMaker, its machine learning and AI model training and inference platform, adding new observability capabilities, connected coding environments and GPU cluster performance management. However, AWS continues to face competition from Google and Microsoft, which also offer many features that help accelerate AI training and…
Read more
AI & RoboticsNews

Solidroad just raised $6.5M to reinvent customer service with AI that coaches, not replaces

Solidroad, an artificial intelligence startup that promises to solve one of customer service’s most persistent problems, has raised $6.5 million in seed funding to expand its platform that automatically trains customer service representatives and improves AI agents. The Dublin-founded company, led by First Round Capital with participation from Y Combinator, addresses a fundamental challenge…
Read more
AI & RoboticsNews

Beyond single-model AI: How architectural design drives reliable multi-agent orchestration

We’re seeing AI evolve fast. It’s no longer just about building a single, super-smart model. The real power, and the exciting frontier, lies in getting multiple specialized AI agents to work together. Think of them as a team of expert colleagues, each with their own skills — one analyzes data, another interacts with customers, a third manages logistics, and so on. Getting this team to…
Read more
AI & RoboticsNews

The TAO of data: How Databricks is optimizing  AI LLM fine-tuning without data labels

Databricks is tackling the challenge of AI model performance by addressing the critical issue of data labeling. While labeled data has long been essential for training AI models, enterprises often face a significant bottleneck—not in technology, but in the lengthy process of collecting, curating, and labeling domain-specific data. This “data labeling tax” forces technical leaders to either…
Read more