AI and Machine Learning For Business - 5 common mistakes you should avoid
If you think about AI and machine learning for business now or in the future, quite often you can face certain issues or even fail completely because these projects are so different compared to regular ones that IT departments usually deal with. However, it’s possible to improve the projects’ success rate by following a simple checklist provided by Markus Lippus, Data Science Lead and co-founder of MindTitan, in the video in detail.
Timecodes:
00:00 Intro
02:08 Checklist for a machine learning project
05:04 The scientific process of a machine learning project
05:49 Business perspective of a data science project
06:22 1st сommon mistake - ask the right question
08:06 2nd common mistake - verify that your data even has a signal
12:43 3rd common mistake - confirm that you have the right data
16:22 4th common mistake - consider your labeling options
18:25 5th common mistake - assess the complexity of data volume
25:47 Why all the effort?
You’ll also see the discussion of questions concerning the data in AI and machine learning projects:
Do you have the right data for the things you want to do? Is there enough signal and why is it important?
Do you have the data required for training a machine learning model?
How can you get more data if you don’t have enough or your data isn’t right? Maybe even your current process can handle it.
The most complicated question: how do you know you have enough data?
And the last one: why spend all these efforts on just one project?
Do you have a custom AI and machine learning project in mind? Check our Turnkey AI solutions and services 👉 https://mindtitan.com/products/custom...
About the event
Tech Day - one of the largest hybrid technology conferences with the aim to unite experts, managers and people interested in IT that took place in Estonia on 15 October. All the participants got the best insights on current tech news, leadership, security and innovation approaches, how technologies help to deal with the ongoing crisis and global risks and you have an opportunity to take a closer look at least at a part of it with us.
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