Transforming Your Operating Model to Support AI Adoption

A democratization puts AI into the hands of non-data scientists while making artificial intelligence accessible to every area of an organization.

With the emergence of enterprise AI platforms that automate and accelerate the lifecycle of an AI project, businesses can build, deploy, and manage AI applications to transform their products, services, and operations.

Initial Steps To Enterprise AI 

But in order to reap the rewards that AI offers, it is essential that businesses first address how their organizations are set up, from their people to their processes. Democratizing AI through your organization requires more than just software. It may require changing your operation models and finding the right guidance to realize the full breadth of capabilities.

Competing With Digital Natives

AI has become a strategic imperative. Early adopters are achieving massive returns, while others risk falling behind. Yet, with AI knowledge and resources scarce, most companies cannot copy the FAANG approach. Even if their vast resources were more readily available, it’s hard to reboot an organization without disrupting the bottom line. Most executives need to work with the resources available — their existing people, processes, and technology.

Scaling AI

This eBook illustrates that any organization can implement and scale AI today. With the emergence of enterprise AI platforms that automate and accelerate the lifecycle of an AI project, businesses can build, deploy, and manage AI applications to transform their products, services, and operations.

Read this whitepaper to realize:

• How to align AI to your business objectives
• How to identifying good use cases, and building trust in AI
• How to uncover key questions for executives and leaders to answer about their AI strategy