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Joining Dan Neumann once again is Dr. Jerry Smith who you may remember from a bonus episode of the Agile Coaches\u2019 Corner a few weeks back!

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Dr. Jerry Smith is AgileThought\u2019s Managing Director of Analytics and Data Science. As a practicing AI & Data Scientist, thought leader, innovator, speaker, author, and philanthropist, Dr.Jerry Smith is dedicated to advancing and transforming businesses through evolutionary computing, enterprise AI and data sciences, machine learning, and causality.

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In this episode, Dan and Dr. Jerry Smith explore the topic of digital transformations. Jerry takes listeners through what the process of a six-step AI-driven digital transformation process looks like, the challenges of the process, as well as the key benefits.

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Key Takeaways

What is a digital transformation?

Changing the behavior of the organization in relation to their customers

Changing their journey map so that they can achieve the business outcomes they want

Looks at changing the behaviors to create new opportunities

It is not \u2018transforming digitally\u2019 (i.e. moving to the Cloud, etc.) \u2014 the order of words is important to note

AgileThought\u2019s AI-driven digital transformation:

It is a six-step process that gets a business to actually bend their business curve

It is implemented in a set of capabilities; there are over 67 capabilities that transition an enterprise\u2019s data and transform it into insights and actions and is a systematic process

This process puts a customer into the position of changing their business

• The six-step AI-driven digital transformation process:

(1) \u2018Data is the debris of human activity. We collect it all, but all is not important.\u2019

The first thing that is done is data collection

The most important question to ask when you begin is: \u201cWhat is data?\u201d

Data is because of us; not in spite of us

(2) \u2018We determine what data is causal to the business problem. This allows us to only focus on those areas we can control.\u2019

You need to ask: \u201cOf all this data we collect, what is causal to my business problem? What should I be focusing on?\u201d

(3) \u2018Using causal data, we build digital twins \u2014 surrogates \u2014 of the problem. We create an artificial model of the real world.\u2019

They build high-quality, predictive algorithms (from step two\u2019s causal data/input)

Changing this data changes the business outcome

(4) \u2018Within the artificial world, we organically grow perspective solutions designed to optimize the business outcome.\u2019

Now that you have the model it is important to optimize the digital surrogate

(5) \u2018We implement the prescriptive solutions, wait for change, and collect new data.\u2019

In this step, you are running through optimization, changing those inputs, and looking for a combination that results in that output achieving the business goal

(6) \u2018The cycle repeats, bending the business curve.\u2019

When you have the behavior of the people that marketing, sales, and product development will have to change, you can then wash, rinse, and repeat

When you go through the six-step process in cycles you need to give enough time to see the ripples go through to see the changes and continue to iterate and refine

\u201cThis is why this six-step process is important for customers; because for the first time we\u2019ve actually connected business and IT together.\u201d \u2014 Dr. Jerry Smith

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Mentioned in this Episode:

Agile Coaches\u2019 Corner Bonus Podcast: \u201cHow to Make AI Work in Your Enterprise with Dr. Jerry Smith\u201d

AgileThought Event: \u201cVirtual Community: Building an Agile Mindset During COVID-19\u201d

Six-Step AI-Driven Digital Transformation (Image)

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