The AI hype is winding down, so where are we now? How far along are most companies in terms of AI adoption? Do they have working applications in production? What tools are they using? What are the biggest bottlenecks? How much has changed since last year, and what does that tell us about the future of AI? If you're curious about the state of AI today, or just want to see how your organization compares to others, check out this new O'Reilly report....

In this third article in a series of four, the researchers behind the 2023 MIT Sloan Management Review-BCG Artificial Intelligence and Business Strategy Big Ideas research project explore how using AI to refine KPIs leads to smart KPIs that are forward-looking and encourage organizational alignment. They define three types of smart KPIs and provide practical advice to help leaders use AI-enriched KPIs to increase strategic alignment.

Delivering AI projects and building an AI organization are two big challenges for enterprises. They determine whether companies succeed or fail in establishing AI and integrating AI into their digital transformation. This book addresses both challenges by bringing together organizational and service design concepts, project management, and testing and quality assurance. It covers crucial, often-overlooked topics such as MLOps, IT risk, security and...

Developing AI systems based on neural networks can require large volumes of labeled training data, which can be hard to obtain in some settings. New techniques for reducing the number of labeled examples needed to build accurate models are now emerging to address this problem. These approaches encompass ways to transfer models across related problems and to pretrain models with unlabeled data. They also include emerging best practices around data-centric...

¿Estás pensando en empezar a trabajar con big data, analítica o inteligencia artificial pero no sabes por dónde empezar o qué esperar? ¿Has comenzado tu viaje de inmersión en el mundo de los datos y te preguntas cómo llegar al siguiente nivel? ¿Quieres saber cómo financiar tu estrategia de datos, organizar tu equipo, medir los resultados y escalar? A Data-Driven Company analiza 21 decisiones clave a las que se enfrenta cualquier organización...

This IBM® Redpaper publication helps the line of business (LOB), data science, and information technology (IT) teams develop an information architecture (IA) for their enterprise artificial intelligence (AI) environment. It describes the challenges that are faced by the three roles when creating and deploying enterprise AI solutions, and how they can collaborate for best results. This publication also highlights the capabilities of the IBM Cognitive...

What happens when you incorporate artificial intelligence into your analytics portfolio? A decade ago, business intelligence applications were simply trying to become more visual. Now, analytics software provides intuitive search and AI-driven features as an integral part of the experience. This practical ebook explains how business professionals like you can AI to find insights buried in your corporate data to make the right decision. Sean Zinsmeister,...

Much in the same way that software transformed business in the past two decades, AI is set to redefine organizations and entire industries. Just as every company is a software company today, every company will soon be an AI company. This practical guide explains how business and technical leaders can embrace this new breed of organization. Based on real customer experience, Microsoft's David Carmona covers the journey necessary to become an AI Organization-from...