If you are an AI buff like me, you probably already experience the power and magic behind words. AI, as a technology, has no body and currently doesn’t have a tangible appearance other than written words, voice, and information. What it shows us is how it can change our 3D reality by creating an augmented reality and impacting our actions simply by using words that provide us new information.
Think about it: it’s an invisible force that shapes our thoughts and actions. It’s such a powerful thing. Words can do that? I guess they can.
Our AI strategy is built on words and concepts that we are all experiencing for the first time, impacting our organizations for the future by onboarding AI, our new non-human AI employee. This connection between the words in our AI strategy and their conceptual foundation shapes our AI strategy’s success before we even start, right at the planning stage.
Through conversations and smart AI strategies I have helped build, I have found that there are 5 common words we need to look at differently to determine our success. These words can be easily traced back to all the common reasons for unsuccessful AI onboarding.
The 5 magic words to guarantee a successful AI strategy
Cognitive Ability
We all know that AI stands for the ability of technology to mimic human cognitive abilities (see “cognitive computing“), but it usually stays at the level of definition without embracing the true meaning. Cognitive abilities mean the ability to think and produce thought. It’s the human ability to receive input and react to it. This is the true essence of AI—the ability to receive input and react to it in different ways based on the information. It can learn, grow, evolve, and change autonomously without us necessarily having to train it. This should be the foundation of our AI strategy.
System
If we understand that AI is a thinking mind and that information impacts its outputs and reactions, we realize that the word “system” has a new definition.
Historically, a system was something limited and defined by how we built it.
With AI, the system is defined only by the task it was designed to do, meaning it has the flexibility to think, change, grow, and evolve within the task’s boundaries.
We need to consider this unpredictability in our AI strategy and have the right safeguarding mechanisms in place, understanding where human cognitive abilities are needed and where AI cognitive abilities are sufficient.
Data
Data is a crucial factor in the success of AI onboarding!!!!
AI’s effectiveness and ongoing success hinge on the quality and variety of data it receives.
As a thinking entity, AI’s capabilities are shaped by the information it processes. Much Similar to a humans, AI’s growth and potential are constrained by the data it encounters.
Therefore, in our AI strategy, we should view “data” not merely as bits and bytes, but as representing relationships and collaborations with AI.
Our strategy must prioritize collaboration among teams, individual interactions with AI, surveys and continuous training.
Without this collaborative approach, our AI counterparts will struggle to evolve and achieve its full potential.
It’s essential to expand our understanding of “data” beyond traditional definitions of information and infrastructure. By shifting our perspective to view “data” as synonymous with relationships and cooperation with AI, we can enhance our strategies. This change in terminology underscores the importance of providing relevant, high-quality data to AI systems and it should be reflected as a word within our AI strategy.
Ultimately, the success of many AI projects hinges on the willingness to foster meaningful relationships with AI through effective data utilization. Replacing the term “data” with “relationship” in our AI strategy discourse can significantly bolster our chances of success.
Operational Maturity Level
AI reflects our organization’s operational maturity level, which pertains to how well-documented and defined our business processes are.
Simply put, can we provide documentation to support how we do business?
This level of operational maturity provides the essential data that AI requires on a regular basis. If our organization lacks this structured approach, our non-human employee, AI, may struggle to perform effectively.
Successful AI onboarding has been observed in customer service, sales, and marketing teams because these departments typically have robust data management practices already in place. While there is always room for improvement and adaptation, these foundational practices provide a solid starting point.
Part of our AI strategy should focus on assessing our current operational maturity level and reinforcing these practices throughout the business units that are integrating AI.
Success
When we onboard AI, we often have unrealistic expectations due to vendor marketing and AI hype, setting ourselves up for failure from the start.
Setting realistic expectations is crucial to ensure continuous progress with our non-human employees. Know that AI is here to stay, and like other major technological advancements, there’s no going back.
By writing an AI strategy and onboarding AI, success is already within reach.
The key factors recommended to major your success I believe to be with in this 4 words we talked about before
If we succeeded to organize your business , support a collaborative approach , reduce fear created excitement , i am not saying you should not look for effectivity and productivity those are important , but if you will have the right mindset everything else will follow into place.
Example:
Written Introduction section of an AI strategy showing the difference in approach
Traditional Introduction:
Welcome to the AI CRM Strategy Plan for [Organization Name].
This document outlines our approach to integrating Artificial Intelligence (AI) as a Customer Relationship Management (CRM) system.
As we navigate the digital transformation landscape, AI presents unprecedented opportunities to enhance customer interactions, optimize operations, and drive sustainable growth.
New way introduction :
Welcome to Our AI Strategy Plan
Welcome to the AI strategy Plan for [Organization Name].
This document outlines our approach to integrating Artificial Intelligence (AI) into our Customer Relationship Management (CRM) system.
As we navigate the digital transformation landscape, AI presents unprecedented opportunities to revolutionize our business practices.
As we embrace the Fourth Industrial Revolution, we are excited to embark on this journey of evaluating and enhancing our customer journey.
AI offers us new ways of doing business, providing opportunities for growth and innovation. This transformation will empower each of you to thrive in new and exciting ways.
While this plan marks a significant step in our journey, it’s just the beginning. Every contribution is crucial as we prepare to integrate AI into our operations. Together, we are confident in our ability to welcome and collaborate with our new non-human employee, ensuring its success in our organization.
My Thoughts:
To sum up, redefining important terms in our AI strategy can greatly influence whether it succeeds or fails. Understanding how AI thinks, adapting its systems, prioritizing teamwork over just data, and assessing our organizational maturity are all crucial steps.
As we move forward into the Fourth Industrial Revolution, integrating AI into our operations is a big step. It’s not just about adopting new technology but embracing a big change in how we work and come up with new ideas in every part of our organization. Success depends on setting clear goals and supporting a culture that encourages new ideas and getting better all the time.
Let’s remember that AI isn’t just a tool—it’s a partner in our organization’s growth. By approaching AI strategy with clear thinking, teamwork, and the ability to adapt, we can make the most of its potential and build lasting success in the digital world