- [Narrator] There are a couple of stages where
an organization goes from building minimum viable products,
to start getting good at AI.
There's a strong support and focus from the management team,
allowing the organization to build
a high performing AI culture.
And finally, the organization can use AI
as a competitive advantage
turning AI into an innovation strategy.
This is where the true digital transformation
and disruption happens.
Organizations that adopt AI, go from predictive AI
to prescriptive AI.
The end goal for an organization,
is to make AI so much a part of doing business
that you don't think about it.
If you were using E-mail in early 2000,
I can guarantee you that you had to deal with spam E-mail
on a weekly basis at the very least.
When was the last time you had to deal with spam today?
That's AI at work, learning every day
what is spam and what isn't,
and delivering only relevant E-mail to your inbox.
Or, think about Google Maps.
Do you get out a map and look up where you are going
before you head off?
Google Maps uses deep learning to improve map data,
and we don't think about it,
even though it's incredibly complex.
Your challenge is to make AI commonplace
and deeply rooted in your organization.
If you're interested in getting into
some of the technical details of AI,
then these courses might help you get started.
Neural Networks Essential Training and Deep Learning
with OpenCV, gives you an introduction to using images
and videos with Deep Learning.
The Pandas Essential Training Course,
will help you get started at querying your business data.
The Apache PySpark by Example course,
helps you to use Apache Spark big data platform.
And finally, if you're looking at sharing work frequently
with business stakeholders,
or reproducing results from other data scientists,
then Docker might be just what you're looking for.
I hope you found this course useful.
Thanks for watching, and I'd love to hear back from you
and to connect via LinkedIn.
Thank you and Soli Deo Gloria.