Today’s economy is rapidly becoming an A.I. economy

Getting started with A.I. requires a commitment to creating a data-centric culture, educating leaders and investing in technology. Getting A.I. ready will move us closer to the cutting edge, where many of our competitors are today.

For many businesses there are 3 things that cause us all pain, Dirty Data, Manual Processes, and Outdated Information. To address these pain points, we will develop an A.I. framework that we can use in our business and bring about massive success.

Section 1 – Good Data Governance requires us to collect, store, access, and analyze our data in an orderly way. Additionally, A.I. is not a standalone software. A.I. is designed to be used as part of a well-organized system; to accomplish a set of tasks using algorithms. This allows us to use A.I. in three different areas of our business processes.

• Data is the currency of an A.I. driven organization. 
• A.I. Process #1 - Augmentation
• A.I. Process #2 - Automation
• A.I. Process #3 - Machine Learning

Section 2 – Business Intelligence - A simple conversation about the data collected in a business, how it is stored and accessed, what can be done with it will lead you towards A.I. Demonstrate the ability to ride the A.I. wave, rather than be rolled over by it, which all starts with augmenting your data analytics.

Section 3 – Process Automation - Sometimes the most powerful function of A.I. in a business is simply automation. We have to be able to either delegate, outsource or automate every part of our business that is manual, human resource heavy and/or repetitive. Automation saves time and money, but of course can come at a human cost.

Section 4 – Influencing Customer Behavior – Machine Learning involves building mathematical models that A.I. will use for predictive data analytics and for learning. We then merry ML with Data Storytelling to craft narratives that drive a desired outcome from our customers. 

Participants will have a deeper understanding of A.I. terminology, including Big Data Analytics, Deep Learning, Natural Language Processing, Neural Networks, Predictive Modeling and Supervised Learning. 

The end results of attending the one-day training will include the following:

1. An Assessment of your Current Analytics Maturity & a Plan to Level Up

2. A Map of your Data Lake, including Identified Data Silos

3. Learning about the Data Families/Skills Need for A.I.

4. A list of what manual processes you can Automate (Collection, Blending, Modeling, Analysis)

5. Tips on how enhance your Data Visualization & Data Storytelling skills

6. Identify the Key Customer Behavior Influencers you need to maximize business profits.