Agentic

AI? Agentic AI, originally introduced by Andrew Ng as AI “partners” that autonomously , is a brand new concept emerged from the burst of Generative AI applications. The term has rapidly gained popularity since...

Letting doctors  be doctorsbe doctorsCurrent ambient AI assistants, which gained mainstream traction in 2023, are already capable of record, structure, and summarize patient encounters in real time. This liberates clinicians from the time-consuming exercise of...

says that “”. That’s exactly how a variety of today’s AI frameworks feel. Tools like GitHub Copilot, Claude Desktop, OpenAI Operator, and Perplexity Comet are automating on a regular basis tasks that will’ve...

Introduction Retrieval-Augmented Generation (RAG) could have been obligatory for the primary wave of enterprise AI, but it surely’s quickly evolving into something much larger. Over the past two years, organizations have realized that simply retrieving...

The necessity for personalization extends to sales and marketing operations too as pharma corporations are increasingly needing to compete for the eye of health-care professionals (HCPs). Estimates suggest that biopharmas were in...

has received serious attention with the rise of LLMs able to handling complex tasks. Initially, most discussions on this talk revolved around : Tuning a single prompt for optimized performance on a single...

, data scientists working within the Python ecosystem would normally juggle multiple tools to perform basic project management tasks, from creating virtual environments with venv and installing dependencies with pip or conda, to constructing...

Adapting to latest and emerging technologies like agentic AI is crucial for a corporation’s survival, says Murli Buluswar, head of US personal banking analytics at Citi. “An organization’s ability to adopt latest...