How to Build a Winning Artificial Intelligence Strategy

4 min readDec 27, 2022

The Need for Artificial Intelligence

As with every Industrial Revolution that has altered the course of humanity’s history, Industry 4.0 is currently rewriting the global landscape on a second-by-second basis. As we know it today, life has become inextricable from the defining technologies of the 4th Industrial Revolution, most notably Artificial Intelligence.

Artificial intelligence (AI) is rapidly transforming the productivity and GDP of the global economy. AI could contribute up to $15.7 trillion to the global economy by 2030, more than the current output of China and India combined. AI is driving this economic growth by making prediction and automation cheap, reducing cost, uncertainties, and inefficiencies in many processes, and enhancing the quality of services with hyper-personalization at scale. AI is doing this in every imaginable sector and facet of today’s world.

The Need for a Winning AI Strategy

The success of your organization in today’s fiercely competitive market rests on how well it can outperform others in the areas of hyperpersonalization, quality service, and cost savings.

The challenge is not that executives are unaware of AI and its potential benefits but rather that they have no idea how to craft transformative or winning AI strategies. This leads to a cycle of failed deployments and cash burn that further weakens the competitive position of the organization.

The goal of this article is to deconstruct the technicality of AI implementation by showing the building blocks upon which successful AI implementation rests.

Building a Winning AI Strategy

“Everyone has a plan until they get punched in the mouth.” — Mike Tyson.

This quote is as true in boxing as it is in the corporate world. A single setback can knock off strategies. This makes it essential to build an expansive and in-depth system as far as AI adoption is concerned.

At Stallion AI, we build winning AI strategies by utilizing our proprietary AI Readiness Assessment & Strategy (AIRAS) framework.

AIRAS is an industry-focused comprehensive and practical methodology that measures the ability of an…




A digital ecosystem that enables everyone to easily learn, create, explore and monetize AI.