Artificial Intelligence
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.
Explore Artificial Intelligence
- AI FoundationsInsightOct 13
Top 20+ Predictions from Experts on AI Job Loss
As a McKinsey consultant, I helped enterprises adopt new technologies for a decade. My quick answers: Note: The size of the plots is correlated with the size of the job loss prediction. The percentages referenced in our analysis are derived from assumptions about overall job displacement. In specific scenarios, these assumptions included potential job gains…
- AI in IndustriesInsightOct 13
Top 11 AI in Fashion Use Cases & Examples
Faced with creative bottlenecks, inefficient supply chains, and rising consumer expectations, fashion brands are seeking smarter solutions. McKinsey estimates that generative AI could boost operating profits in the fashion, apparel, and luxury sectors by up to $275 billion by 2028. Explore the top 11 use cases of AI in fashion to help fashion brands cut…
- AI FoundationsBenchmarkOct 13
Top 20 AI-Generated Text Detectors Comparison
We conducted a benchmark of the most commonly used 10 AI-generated text detector. Here’s a quick summary of our findings: Explore detailed feature & pricing comparison of the top 20 AI-content detectors, along with benchmark results, and the AI detection models powering these tools: For details on the benchmark, read AI content detector tools benchmark…
- LLMBenchmarkOct 13
LLM Latency Benchmark by Use Cases
You can find details on how we measured latency here. We report reasoning and non-reasoning models separately. Reasoning models spend several seconds thinking before the first visible answer, so comparing them directly with non-reasoning models on latency would be misleading. Some models also change behavior by task: GPT-5.2 answers Q&A without reasoning but reasons on…
- AI HardwareFeature ComparisonOct 13
Top 30+ AI Chip Makers: NVIDIA & Its Competitors
Based on our experience running AIMultiple’s cloud GPU benchmark, we compare chip makers by product, availability and architecture, covering data center GPUs, mobile chips, edge accelerators and foundries. Each row names a representative product, its type and its availability. Availability distinguishes hardware offered for sale, cloud services, internal deployments and announced products. Dates refer to…
- Healthcare AIInsightOct 12
20+ Healthcare AI Use Cases with Examples
A recent study shows that hybrid teams of human clinicians and AI systems make more accurate medical diagnoses, largely because they tend to make different and complementary errors that help correct one another. These findings indicate strong potential of AI to enhance patient safety and promote more equitable healthcare. How do healthcare AI systems perform?…
- AI ProductivityOpen World EvaluationOct 9
AI Web Browsers: Selection Guide
We tested 10 AI-powered browsers by running identical tasks across each platform: webpage summarization, multi-site research, form automation, and cross-tab workflows. We documented which features worked as advertised and which failed during actual use. A comparison of 10 browsers tested across 4 categories, updates on product launches, and concrete examples of what each browser can…
- AI FoundationsInsightOct 9
No-Code AI: Benefits, Industries & Key Differences
No-code AI tools allow users to build, train, or deploy AI applications without writing code. These platforms typically rely on drag-and-drop interfaces, natural language prompts, guided setup wizards, or visual workflow builders. This approach lowers the barrier to entry and makes AI development accessible to users without a programming background. Recently, no-code AI has expanded…