In the present conditions of a highly competitive and
ever-changing business environment, digital transformation is very crucial for
all businesses for future growth and expansion. Artificial Intelligence (AI) is
considered a central enabler for the digital transformation of many
The transformation process of businesses requires leveraging digital technologies to enhance customer experience, business process and culture to meet the changing customer needs and the market environment.
Artificial Intelligence is the primary driver of significant
digital transformation of businesses because of its cost optimization, ease and
high-speed performance. Despite most people considering it as future
technology, many organizations are already using it to optimize their
AI plays a crucial role in the digital transformation of many business strategies because of its possibility of automating various daily tasks and integrating different systems and efficient for faster business operations. Since AI allows better use of data collected by the company, it is an essential technology for transforming business.
The Six AI Design Principles in Digital
AI helps organizations reduce labor costs, improve business process and customer service and generate new business models. However, some of the AI technologies remain immature. To overcome this problem, the Chief Information Officer (CIO) needs to ensure that applications are intended to serve a strategic business purpose.
There are six design principles that help organizations evaluate
all AI applications proposed to help organizations achieve overall business
results strategically than just improving the functional movements.
The six Design Principles for AI in Digital business are as
1. Connect to the customer
Digital Businesses thrive on knowledge of customers and markets.
AI applications need to be close to customers to support the digital
initiatives of the business. The chief information officer (CIO) needs to
properly use popular AI-powered technologies to get between customers and
Alexa and Siri, for instance, are frequently used by consumers to access other companies’ capabilities, and as a result, Apple and Amazon can gather better data about customers. Similarly, strategic AI applications need to be used by organizations to capture critical customer information and build a connection with the customers.
2. Act Autonomously
AI applications help automate manual processes of organization and go a step further, enabling business processes automation. Strategic AI application can act autonomously without human direction or intervention enabling business with significant productivity gains by augmenting human tasks allowing them to perform more personalized tasks.
Companies need to ensure that AI application is located close to
the area where the work is being done, especially when designing AI
applications for autonomous operations, to understand what is going on and make
intelligent decisions on the spot.
3. Elevate the physical
Strategic AI applications should make a difference in the physical world and enhance other technologies’ power by having a physical impact. GE Aviation, for instance, is now using 3D printing to create fan blades, a critical part of jet engines. Adding AI can extend 3D printing for even more complex use cases like adjusting print processes to accommodate manufacturing where many factors need to be controlled.
4. Detect the invisible
AI helps manage business operations in a way humans cannot, and
strategic AI applications can take much faster decisions than humans in
increasingly complex situations. For example, high-speed trading applications
are powered by algorithms that take into account variables like political
development, stock prices, and weather enabling traders to execute millions of
dollars in just a matter of seconds, thereby providing a considerable advantage
to their organization.
5. Anticipate the Future
AI generates insights in digital business that directly leads to
business execution. Strategic AI applications help companies with granular
insights on what enterprises can do to influence customers and what customers,
other companies and markets are likely to do in specific situations in future.
With trustworthy insights, enterprises are more likely to rely on them for
future execution systems.
6. Risk Management
Risk, privacy and security are the most significant barriers for developing AI applications and are even more severe when AI applications serve strategic business purposes. Therefore, risk management is crucial because a mistake disrupts operations and tends to harm the enterprise and the brand.
These design principles can be used to evaluate the proposed AI
application for your organization. Depending on the business’s specific needs
and requirements, the Chief information officer (CIO) needs to prioritize these
Artificial Intelligence (AI) is the top protagonist of the digital transformation of businesses, and most of the digital tools that are developed recently are based on AI. This technology provides increasingly effective and innovative solutions for businesses that directly impact the competitiveness and acceleration of the market and customer expectations.