Where do we have a lot of relevant data?
• AI depends upon the information you feed it. While that could ultimately come from all manner of sources, the early phases of identifying promising AI opportunities will likely be better served by considering areas in which you have robust, reliable, and accessible data. Data is step process for uncovering good AI opportunities.
• Determine which processes you have the most information on, prioritizing those where you have the most relevant information about the elements and relationships involved. That “relevant information” is of fundamental importance. Without it, you might be pursuing problems rather than results.
• Make sure you have access to data - Labelled data that captures the desired outcome is the single most important ingredient for success. Ideally, this data is present inside your enterprise because that type of data is much more digestible than trying to scrape data from across the Internet.
WEDNESDAY 16th JUNE, MONTPELLIER
19:30 - 23:00 Networking cocktail on the beach
THURSDAY 17th JUNE, IBM Montpellier
09:00 - 09:15 Introduction & objectives
09:15 - 10:15 Presentation : Introduction to AI Solutions : From Big Data to AI (High Performance Analytics) & What is Machine Learning / Deep Learning, Watson Machine Learning community edition.
10:15 - 11:15 Presentation : IBM AI Solutions: Positioning Watson and PowerAI.
11:15 - 12:15 Hands-On : Build your first AI Model : scoring your client.
12:15 - 14:00 Lunch
14:00 - 17:00
Hands-On 1 : Data Science in a box with Watson Studio (Auto AI)
Hands-On 2 : Build your first Chatbot with Watson Assistant
17:00 - 17:30 Q & As and Next Steps
19:30 - Networking dinner on the beach
FRIDAY 18th JUNE, IBM Montpellier
9:00 - 12:00 Departures or B2B meetings with the IBM Experts.