Today's Picks

Applications & Impact

Identifying and Prioritizing Artificial Intelligence Use Cases ... - Medium

This article delves into the systematic process of identifying and prioritizing high-impact AI use cases for enterprise implementation, covering strategic imperatives, alignment with core strategies, measuring business value, feasibility, data readiness, risk management, ROI, scalability, ethical considerations, talent and skills, sustainability, adoption, and customer impact. It provides a comprehensive blueprint for leaders navigating AI adoption in organizations.

Adnan Masood

Frameworks & Platforms

Why Your Enterprise Needs Google Agent Space | by Biswanath Giri

Google Agent Space, a platform by Google Cloud, empowers enterprises to create, deploy, and manage AI agents leveraging Google's advanced AI technologies. This article highlights how Agent Space facilitates seamless integration with popular apps, enables multimodal search across enterprise data, drives impact through content generation and automation, and unlocks innovation with AI agents, emphasizing enterprise-grade security and compliance.

Biswanath Giri

Frameworks & Platforms

Inside Google Cloud Agentspace: Overview and UI Walkthrough

Google Cloud's Agentspace is a powerful Enterprise Search and Assistant platform that utilizes intelligent agents powered by Gemini reasoning to enhance productivity by tackling information silos. This article provides an overview and UI walkthrough of Agentspace, offering insights into how it can transform enterprise information access and boost productivity, making it valuable for AI developers interested in building AI assistants and enterprise search solutions.

Jamie Thompson Follow Jamie Thompson 73 followers Senior Cloud Architect specialising in GCP and author of www.CloudBabble.co.uk GCP blog site. Jamie Thompson

Build & Tooling

Inside Amazon SageMaker Unified Studio: A Unified Data, Analytics ...

Amazon SageMaker Unified Studio is a cutting-edge all-in-one development environment that integrates data analytics and machine learning workflows, addressing the need to unify disparate tasks in modern enterprises. This article explores the technical architecture, core capabilities, and governance features of SageMaker Unified Studio, offering valuable insights for AI developers and builders.

Nicolò Grando