Revolutionary change brought by AI is not the “human-dummy” but the invention of automated digital operating models in the business. These digital operating models have challenged the traditional thinking of business managers. Artificial Intelligence (AI) is at the core of their operating models for firms in the race to stay relevant in this digital world. Apart from defining how businesses execute their operations, AI redefines competition.
To stay ahead of the competition, here are 4 key areas you must pay attention to while redefining your operating models:
1. Create the AI Factory
In this digital era, the core of every business is a decision factory, also referred to as The AI Factory. The role of an AI factory is to present every decision-making process as a science. The data analytics of an AI factory analyze every dataset (internal or external) systematically and present it as critical insights, forecasts, and predictions that are used to lead the automated operational systems.
To create an AI factory and become a digital firm in these competitive times, you only need digital tools or systems that can replace humans with tedious activities. Tasks that humans previously performed can easily be shifted to digital platforms to increase productivity. There are 4 key components to consider before creating an AI factory:
- Systematic data pipeline for collecting, cleaning, integrating, and securing data
- Algorithms for predicting future business processes and actions
- Experimentation platforms that can assess suggestions of new algorithms
- Scalable IT infrastructure that connects internal and external users to this process
2. Optimize scale, scope, and learning
By embracing AI in their operating models, modern industrial organizations have achieved more significant productivity levels at a much lower unit cost than their smaller rivals in the industry. With the help of a scale, these companies strive towards innovation and improvement. In this era of digital disruption, to be on top of your game, “learning” is the third element you require to survive in this digitized world.
The scalability of AI-driven procedures can be improved rapidly than any traditional business process since it provides the greater scope of connecting with other digital networks for improvement and learning purposes. The digitized operating models and AI-powered process can help you respond to emerging threats better and seek new business opportunities across industries.
3. Redesign traditional workflow
To compete and survive in this digital world of business, traditionally structured enterprises must think of redesigning their workflows. A leader needs to know that competing with their digital competitors requires more than just having a systematic data pipeline, algorithms for predicting future business status, scalable IT infrastructure, and experimenting platforms. It requires you to rebuild your whole business operating workflows and deploy AI-driven processes to optimize scale, scope, and learning.
Reshaping processing requires you to focus on data-driven procedures and analytics. It doesn’t need you to be a sophisticated software venture to impose digitization in operations. Still, you have to build the tendency to retool your culture, enhance your capabilities and confront your legacy systems.
4. Recreate business strategies
Previously, organizations adhered to businesses they knew and developed strategies based on the industries they understood. Today, business strategies do not follow any industrial boundaries with algorithms and data flow. The competitive edge in today’s world depends on how the companies construct and control their digital networks and develop strategies to leverage customer data across industries.
Enterprises like Google, Facebook, and Alibaba, who can connect AI with business, have a data-driven approach and excel in deriving crucial insights with analytics to outperform their rivals at all levels of operating systems. To be an AI-driven enterprise and survive in these challenging times of digitization, you need to recreate your business strategies. Develop connections across the industrial boundaries for data flow through your company’s networks. To compete in this new business world, you need to understand the power of data sourcing capabilities, data processing, and analytics and incorporate these in your operating models.