We’re reaching a perfect storm point with artificial intelligence (AI). This isn’t the AI that existed back in the 80’s or that culture of movies that we thought the world of AI would have driven our society to be under the control of machines. This artificial intelligence storm is happening under the eyes of everyone making our machines and existing technologies smarter and unlocking the power of all data gathered through years of data collection of enterprises. What that means: Is a spread of systems that can reason, problem solve, knowledge and represent, plan, learn, natural language, perception, motion and manipulation, social intelligence, creativity and general intelligence. Our evolution in cloud services has made the consumption based model of systems with applied Machine Learning a fast track to create narrow AI.

For enterprises, the understanding of  useful artificial intelligence applications can manifest in all sorts of different ways, depending on your industry and organizational needs and the business intelligence Opens a New Window. (BI) insights derived from the data collected. The implementation of Enterprises that can employ AI is vast and large and usually comes derived by a business requirement to either optimize and transform the industry that business resides on. As a strategy, an enterprise might think:

1. Introduce the enterprise to artificial intelligence and embrace its culture…

Take the time to become familiar with what’s out there and what benefits it provides. Create a team that focuses on accomplishments that are short but meaningful. A team that covers all areas of the organization that is to be optimized. Take advantage of  vast online information and resources available to familiarize yourself with the basic concepts of AI. Do not spend time in offerings but rather spend time getting familiar with the concepts. Increasing knowledge in machine learning, predictive insights and data manipulation are keys to understand what your enterprise system might look like.

2. Understand the problem the enterprise is trying to resolve with artificial intelligence.

Once you have managed the concepts, then the next step for any enterprise is exploratory analysis of the vast ideas the different teams have and how AI capabilities can adapt to the organization. More importantly, the team should have goals in mind of specific use cases in which AI could solve business problems or provide demonstrable value. Again, look for short but meaningful ideas.

A design thinking session is a good way to start the identification of a meaningful use case that can capture a lot of value by adding machine learning to a process or natural language among others.

3. Define concrete value.
   A value assessment of potential business and financial value of the various solutions for artificial intelligence implementations identified. You will find that it’s easy to get lost in etherical discussions around AI the key here is that those business opportunities drive a direct business value to the organization.

 

4. Learn and understand the gap in your organization capabilities.
   The enterprises ability to accomplish and the desire of what wants to be achieved is a major milestone in every company in the world, some might think that services is a way out of the inevitable that is the organizations ability to learn and understand an AI system that will help assist an enterprise process. Acknowledge the capabilities from both technology and business process before you immerse into a journey in AI.

5. Search for the experts and establish the pilot based on your design thinking session.
   Once design thinking Hills have been identified your enterprise is ready from a maturity perspective and technological understanding from a theory point of view. Now you are ready to start your pilot and build and integrate keeping in mind that pilots are not to become production systems but rather prove to the business the necessity and opportunity in the works. The most important factor is to start small with agile iterations and project goals in mind. Also keep in mind that bringing outside experts can be invaluable to see from the outside what can be achieved. Usually a 2-3 month project is an achievable goal.

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