2023年12月20日 · In essence, a successful AI strategy is indispensable, acting as support for business objectives, facilitating prioritization, optimizing talent and technology choices and ensuring an organized integration of AI that will support organizational success.

A well-structured infrastructure strategy ensures that your AI initiative will be able to not just launch but scale. Crafting a successful AI strategy requires a holistic approach that includes problem definition, strategic timing, planning and benefit measurement, as well as careful considerations of data, algorithms, and infrastructure.

2024年9月23日 · This article provides a deep dive into building an AI strategy, focusing on aligning AI initiatives with business goals, understanding AI readiness, and practical tips for implementation. Read more at McKinsey

2024年10月9日 · To build a successful AI strategy, focus on these key elements: Establish a clear vision: Integrate AI initiatives with your overall business strategy, aligning them with strategic...

2023年7月14日 · Companies will start by using this new technology to do “old things” before discovering the new opportunities it creates. So, how should they go about this process? They should: start by...

2023年11月1日 · In our conversations with customers, partners, and external and internal experts, we identified five steps that can help you develop a strategy for AI that will help you meet your goals. 1. Define and prioritize business needs. Successful AI projects begin with a clear, prioritized—and most importantly, valued—set of business needs.

At its core, an AI strategy involves planning, implementing, and managing AI-driven systems to achieve specific business outcomes. This includes identifying the problems you aim to solve, selecting the right AI tools and technologies, and creating a roadmap for their deployment.

2024年10月9日 · The first step to building an AI strategy is understanding how it helps achieve business goals and objectives. Iansiti and Lakhani recommend using an AI-first scorecard —an assessment of your organization's readiness to adopt and integrate AI technologies—to gauge your capabilities and align stakeholders.

2020年8月10日 · We propose an AI strategy built upon three pillars. 1. AI needs a robust and reliable technology infrastructure. Given AI’s popularity, it is easy to forget that it is not a self-contained technology. Without the support of well-functioning data and infrastructure, it is useless.

2024年5月28日 · A critical part of building your AI strategy should include developing comprehensive AI policies that help mitigate compliance risks, cover ethical considerations, and define how your organization and employees can use AI.