Authors: Kerrie Holley and Manish Mathur Disclaimer: The views expressed in this briefing doc are those of the authors and do not represent the publisher's views. The information and instructions presented here are for informational purposes only and should not be considered medical advice. Main Themes This book
LLMs offer exciting potential to revolutionise patient experiences, making healthcare more engaging, efficient, and individualised. Here are some key areas where LLMs can make a significant difference: Improved Understanding and Education: Patients often struggle to comprehend complex medical jargon or navigate the intricacies of their health conditions. LLMs can bridge
LLMs are poised to transform healthcare delivery and patient experiences in several ways. For Healthcare Providers: ● Reduced administrative burden: LLMs can automate tasks like scheduling appointments, managing patient records, generating reports, and coding and billing, freeing up healthcare professionals to focus on patient care. For instance, HCA is using Google&
Machine learning (ML) systems are complex, involving multiple interconnected components that work together to create, deploy, and maintain ML models. This blog post explores the key components of a real-world ML system. Core Components 1. Client: The application used by end-users, which requests predictions from the ML system. 2. Orchestrator:
A Machine Learning (ML) system architecture refers to the structure and organization of the various components and processes that make up a machine learning system. It defines how data is handled, models are trained and evaluated, and predictions are generated. Key Components of an ML System Architecture 1. Data Ingestion:
As we move further into 2025, artificial intelligence continues to play a transformative role in boosting productivity and reshaping the way we work. From AI-driven content generation to interactive learning, the array of tools available is vast and impactful. Let’s explore some of the most innovative AI productivity tools
In the rapidly evolving world of artificial intelligence, three prominent AI assistants have emerged as frontrunners: ChatGPT, Perplexity, and Claude. Each brings unique strengths to the table, catering to different user needs and preferences. Let’s dive into a comparison of these AI powerhouses, exploring their strengths and weaknesses. ChatGPT:
In preparing individuals for the future, it is increasingly clear that specific technical skills and knowledge will become outdated or irrelevant over time. However, the ability to learn and adapt will remain critical. Focusing on foundational skills that foster critical thinking, adaptability, and self-reliance will enable individuals to thrive in
Understanding the Business Model Canvas The Business Model Canvas (BMC) is a strategic management tool that provides a visual framework for developing, describing, and analyzing business models. Created by Alexander Osterwalder, it simplifies the complexities of business planning into a single-page format that outlines the essential components of any business.
Key Methodologies Market analysis is a fundamental aspect of product management, providing insights that guide the development, positioning, and marketing of products. By utilizing various methodologies, product managers can effectively understand customer needs, assess market opportunities, and evaluate competition. Here’s an overview of the key methodologies employed in market
Understanding North Star Metrics and OKRs In the realm of business strategy, two concepts have emerged as vital tools for guiding organizations toward success: North Star Metrics (NSMs) and Objectives and Key Results (OKRs). While they serve different purposes, their integration can significantly enhance a company's focus, alignment,
AI is significantly reshaping the landscape of product management, enhancing efficiency and decision-making while allowing product managers to focus on strategic initiatives. Here’s an exploration of how AI is transforming this critical function. Automation of Routine Tasks One of the most profound impacts of AI in product management is
