Overview:  Bigger models don’t automatically perform better in supply chains. For routine operations like inventory checks, routing, and documentation, sma ...

The release marks a significant strategic pivot for Google DeepMind and the Google AI Developers team. While the industry continues to chase trillion-parameter scale in the cloud, FunctionGemma is a ...

Enterprise voice AI has fractured into three architectural paths. The choice you make now will determine whether your agents ...

Databricks says Instructed Retrieval outperforms RAG and could move AI pilots to production faster, but analysts warn it could expose data, governance, and budget gaps that CIOs can’t ignore.

SK Telecom will unveil a hyperscale artificial intelligence model at a presentation for the government-led national AI ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

Protege, an AI data platform focused on unlocking trusted, real-world datasets for AI development, has raised a $30 million ...

AI data trainers who ensure the accuracy and viability of training data going into AI models are well-compensated, in-demand professionals. Two new studies projected potential annual incomes ranging ...

First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...

Rai shares his insights on how the AI business is changing, and how the focus is now shifting from developing more and more sophisticated foundational models to smaller, more cost efficient models ...

Real-time insights and self-service analytics have become critical for survival in a rapidly evolving data landscape.