backend.ai

PureStorage and Lablup delve deeply into case studies and A to Z strategies of companies that have already experienced AI platform optimization and project success.
The strategic choice for successful AI implementation in enterprises has become a new challenge and daily routine for many companies and decision-makers. Many companies are investing resources for successful artificial intelligence projects and striving to build the best infrastructure. However, there are still many cases where they find the method difficult or lack confidence in the data solutions they can choose.
So, how about we find the answers by examining the cases of companies that are one step ahead in pursuing, investing in, and succeeding with AI projects? We aim to provide insights that we can share by closely examining real company cases: What are the common difficulties companies face when pursuing AI projects? What strategies were used to overcome these difficulties and build the best platform? How did they validate AI architecture and design, and with what solutions did they implement them?
Joining us are PureStorage and Lablup Inc., who have excellently supported AI consulting and led projects to success in various industries including large enterprises, startups, universities, hospitals, and public institutions.