Bonita Live Tour 2019 ends up today with a last session with Old Dominion University.
Here is the “menu” for this last lunch:
11am EDT: Interview of Natalie Metzger & Todd Dergenski from Old Dominion University (Education). Old Dominion has a very large number of students and staff and therefore a large volume of data with a complex matrix organisation.
Their digital transformation project lead them to full automation of account requests for better service and user experience.
Bonita Live Tour continues today with brand new sessions, with 2 news interviews and product overviews.
Here are today's “menus”:
MENU 1 - From 11 am EDT to 12 pm EDT
11am EDT: Interview of Gildas Gnidehou, CISO from McGill University Health Center (Healthcare) - McGill University Health Center has lead an automation project which includes data security, risks and certification management processes.
Bonita Live Tour is starting today and will last until thursday 15th.
This 3-day tour of live webinars across North America, 100% online, can be consumed anywhere you want: your office, your couch, during your commute…no crumbs!
Here is today's “menu”:
11am EDT: Interview of Yu-Sun Wang, Solution Architect at a pharmaceutical company - Yu-Sun will explain the company digital transformation of processes in drug discovery that has allowed scientists to focus on science and resulted in time and cost savings.
Bonitasoft is now sponsoring Alpes JUG (Grenoble) and Lyon JUG. Our goal is to support the activities of both user clubs. Every month events are organised by each of these Java User Groups on topics around Java, Docker, DevOps, and more.
Why is Bonitasoft sponsoring JUGs?
Bonita is an open and extensible platform based on Java. The Java community is very active and shares a lot of solid, shareable and reusable components.
At Bonitasoft, the R&D team is currently working on some cool stuff using data science, artificial intelligence, and business process management together.
Data Science is a relatively new practice leveraging mathematics, statistics and data visualization. This practice has emerged with the increasing data volume generated by systems over the last decade. This is what we call "BIG DATA".
By exploring huge amount of data, one is able to discover and understand complex trends and behaviours. By better understanding data one can take smarter decisions.