AI Platforms

How Will Datapao Bridge the AI Gap with Databricks Backing?
AI & Trends How Will Datapao Bridge the AI Gap with Databricks Backing?

In a significant stride forward, Datapao, a leading European data and AI consultancy, received a considerable investment from Databricks and Euroventures. This partnership aims to bridge the gap between AI ambition and execution, a challenge that plagues many enterprises striving to operationalize

Can Selto V2 Revolutionize AI Workflow Automation?
AI & Trends Can Selto V2 Revolutionize AI Workflow Automation?

In today's rapidly evolving digital landscape, businesses face increasing demands to streamline operations through AI-driven automation. Enter Infofla's Selto V2, an innovative AI automation platform poised to redefine workflow efficiency. This advanced platform leverages cutting-edge technology,

Turbocharge AI with Torch-TensorRT for Diffusion Models
AI & Trends Turbocharge AI with Torch-TensorRT for Diffusion Models

Navigating the intricacies of machine learning model deployment on NVIDIA GPUs presents challenges related to performance optimization, especially for robust frameworks like PyTorch. While PyTorch offers an intuitive interface, it sometimes falls short in leveraging full GPU capabilities. Enter

DOD Embraces DevSecOps to Modernize Software Practices
DevOps & Deployment DOD Embraces DevSecOps to Modernize Software Practices

The Department of Defense (DOD) is currently navigating an era of profound transformation in software development, with a sharp focus on adopting DevSecOps practices. This adaptation goes beyond mere technological tools, marking a strategic overhaul of the DOD’s software frameworks and

Is Continuous Discovery Key to Successful Platform Engineering?
Software Development Is Continuous Discovery Key to Successful Platform Engineering?

In the realm of enterprise SaaS technology, Vijay Raina stands out as a thought leader in software design and architecture. With a deep understanding of platform engineering and continuous discovery, Vijay shares his insights on why integrating a thoughtful discovery phase in platform development

Writing Clean Code: Essential Tips for TensorFlow 2
AI & Trends Writing Clean Code: Essential Tips for TensorFlow 2

Developing efficient and maintainable code in TensorFlow 2 demands adopting a structured approach that leverages best practices tailored to this powerful framework. The evolution from TensorFlow 1 has brought about significant changes that enable developers to write cleaner and more efficient code.

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