AI
Explore practical insights, research, and benchmarks on artificial intelligence, including generative AI, large language models, RAG, governance frameworks, MLOps practices, and AI hardware. Gain an understanding of key tools, implementation strategies, and enterprise use cases shaping the AI landscape.
AI Adoption in Manufacturing: Insights from 100 Companies
Our analysis of the top 100 manufacturing companies by revenue from the Forbes Global 2000, spanning automotive, industrial equipment, chemicals, consumer electronics, and more across 15 countries, reveals two clear patterns in how manufacturers approach artificial intelligence. We evaluated three key metrics across all 100 companies: AI partnerships, open-source contributions, and AI initiative outputs.
LLM Inference Engines: vLLM vs LMDeploy vs SGLang ['26]
We benchmarked 3 leading LLM inference engines on NVIDIA H100: vLLM, LMDeploy, and SGLang. Each engine processed identical workloads; 1,000 ShareGPT prompts using Llama 3.1 8B-Instruct to isolate the true performance impact of their architectural choices and optimization strategies.
Top 11 Open Source AI Platforms & Libraries in 2026
Deploying your own AI model or, in some cases, fine-tuning pre-existing models comes with several challenges: Open-source platforms that offer unified APIs help address these challenges by enabling multi-cloud deployment, optimizing GPU resource management.
Enterprise AI Company Landscape Breakdown in 2026
Artificial intelligence is revolutionizing every industry with various use cases. Demand for AI products grows as more companies shift their legacy systems with digital products to survive in the competitive business landscape. However, the AI vendor landscape is crowded, and most executives or decision-makers have limited knowledge of the AI landscape.
Meta AI Applications and Research Examples in 2026
Rather than existing only in research labs, artificial intelligence now shapes the tools people use to connect, work, and create. Meta AI, formerly Facebook AI, drives this transformation by linking research in vision, language, audio, and robotics with applications that reach billions across its platforms.
Alphabet's AI Investments in 38 Companies in 2026
After acquiring DeepMind, and spending more than $13 billion to build data centers Google became one of the leading players in the AI field Driven by its AI investments and search engine investments the tech giant reported a strong profit growth of 25+% in the second quarter of 2024, beating analysts’ expectations.