Machine Learning in Logistics
Discover why and how AI subset is changing Logistics.
The era of Industry 4.0 defined gave the new power for the progress-driving force - data. That's why its proper and efficient collection, processing and analysis became a key to the success on the market for any business model.
Data Science introduced more advanced algorithms and techniques for analytics and statistics and enabled the wider application of such technologies like AI, ML, IoT, etc. Discover why the scope should become a part of your company culture and how it can contribute to business workflow optimization and service improvement.
Learn how ML will continue transforming the field this year.
Who are machine learning engineers and where to find them.
Learn why it’s time to bring some science to your data flows in 2019.
When your retail business is driven by data you should know how to help it drive you to success.
If you feel that your business data needs some science find out who you should hire and how to find the best match for that position.
Find out how to give depth to the learning in your project
Find out where to look for pros who can ensure the understanding between machines and humans.