Data Pipelines

Data Pipelines·Machine Learning (ML)·News-EN·xIT

The Surprising Truth About Machine Learning: What Happens When It Goes to Production?

As the excitement around artificial intelligence continues to grow, businesses are increasingly relying on machine learning (ML) to drive innovation and efficiency. But while the potential of ML is vast, deploying these models in production environments comes with its own set of

November 6, 2024

Artificial Intelligence (AI)·Computer Vision·Data Pipelines·Natural Language Processing (NLP)·Neural Network·News-EN·Protein Folding·Transfer Learning·xPL

A Comprehensive Guide to Tensor Processing Units (TPUs)

In the rapidly evolving field of artificial intelligence (AI), the demand for effective and efficient computing power has led to significant advancements in hardware technologies. Among these innovations, Tensor Processing Units (TPUs) have emerged as pivotal components designed specifically for machine learning

October 1, 2024

$$$·AI Governance·Data Pipelines·Edge AI·GPT-4·xPL·xTR

Shift in Focus: The Decline of GenAI Enthusiasm

Interest in Next-Generation AI Models Evaporates Enterprises are shifting their focus away from the allure of cutting-edge AI models like Google Gemini, Anthropic Claude, Amazon Bedrock, and OpenAI GPT-4. Instead, the spotlight is now on tangible returns on investment (ROI) as organizations

August 22, 2024