For C-level leaders worldwide, the challenge lies in making sense of the AI disruption. Many are exploring use cases while struggling to align AI with broader business goals. The biggest ‘make or ...

In sum, the data corroborate Snowflake’s assertion that its revamped go-to-market engine is landing meaningful net-new ...

Wonder what is really powering your ChatGPT or Gemini chatbots? This is everything you need to know about large language ...

Andrew Ng explores AI’s future at LangChain 2025, from autonomous agents to human-machine collaboration reshaping industries.

Technical decisions that advance inference capabilities can help deliver the promise of ubiquitous, accessible AI.

Yesterday, we shared three ways to begin structuring work for AI-human teams. Today, we’re back with four more tips to help you build a scalable workforce strategy that treats agentic AI as a core ...

AI is no longer just a tool; it’s part of your workforce. If you want to lead effectively in this new era of “agentic AI”—AI systems that can act independently, without constant human ...

ServiceNow is adding agentic AI to its CRM platform The company criticized the market for being "outdated" and "overbuilt" AI agents promise contextually-aware resolutions for happier customers ...

“Artificial intelligence and machine learning play a crucial role as transformative tools in pharmaceutical research and microbial engineering,” according to Ayaz Belkozhayev, PhD, associate ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches ... from different methods to improve existing AI models or come up with new ones.

Reinforcement learning leverages analytical models and algorithms that “learn” from past data, patterns, interactions, and trends. AI enables CRM systems to make adaptive decisions and offer actions ...