There are numerous
classifications and definitions for Artificial Intelligence (AI) and these are evolving
almost daily but, my simple view splits the technologies into 2
categories:
- Machine Learning, which includes automation and robotics (a.k.a. bots).
- Analytics, which includes decision support (data manipulations to diagnose, optimize, or provide a result) and predictive support (forecasts and simulations to identify patterns, trends, and outcomes).
Data literacy skills are
essential to validate assumptions, confirm accuracy and ensure proper use of
data in all areas of AI. Be sure your Data Scientist is more than just a
statistician. The completeness, context and content of the data must be constantly appraised.
So, once the number crunching is done, the results are available and the data-driven decisions are made, what's next? The next exciting challenge is to actually USE the results to improve your business. A few things to consider:
So, once the number crunching is done, the results are available and the data-driven decisions are made, what's next? The next exciting challenge is to actually USE the results to improve your business. A few things to consider:
- Impacts: Prepare for strategic and tactical changes, and roadmap rewrites. This is an area of short-term disruption: keys are knowing how to use the data and how to apply technologies in different ways. This affects all aspects of strategy, organization design, training, products, processes and more. This is true whether teams are augmenting tasks with robotics or conceiving a new product category.
- Speed: The amount of data is doubling every two years so decisions have a limited useful life. Also, AI hastens the availability of decisions and predictions. The impact analyses and redesigns should be swift and continuous.
- Change Management: Teams must be agile and adaptive in anticipating and dealing with continuous change and new uses for technologies. So, cultivate the necessary skills, and set up infrastructures and processes that minimize and manage ongoing disruptions.
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Related: Executive Support: Meet Your New Sales Team
Related: Executive Support: Learning to Co-Exist With Robots
(c) Stephany Kalil 2018. All rights reserved.
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