McKinsey - Six critical capabilities for a successful AI and digital transformation.
The C-suite can build organizations that will outperform competitors by building six critical capabilities for a successful AI and digital transformation.
Industrial AI market: 10 insights on how AI is transforming manufacturing
In short The global industrial AI market reached $43.6 billion in 2024 and is expected to grow at a CAGR of 23% to $153.9 billion by 2030, according to the Industrial AI Market Report 2025–2030 (published August 2025). Although Industrial AI spending today only represents 0.1% of revenue, most manufacturers now have a CEO-driven AI strategy with several industrial AI focus areas emerging: industrial data management/architectures, AI for quality & inspection, edge AI, industrial copilots, and employee training and upskilling, along with the first trials of agentic AI. Why it matters For industrial AI vendors: The market is highly dynamic,
Edge AI refers to the deployment of AI models directly on local edge devices to enable real-time data processing and analysis without reliance on cloud infrastructure.
Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax an...
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA.Speakers:Hannah Moran, Applied AI at @anthropic-ai Christian Ryan, App...
After nine years of grinding, Replit finally found its market. Can it keep it? | TechCrunch
While AI coding startups like Cursor close brow-raising rounds on barely three years of existence, Replit's path to a $3 billion valuation has been anything but swift.
+reddit - GitHub - ageron/handson-ml3: A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2. - ageron/handson-ml3