Welcome to Crosser and Top Data Science joint webinar.
The vision of AI-driven prediction and decision-making within industrial processes is getting closer. Global industries are already utilizing their first AI-projects within various fields and applications - for enhanced efficiency and optimizations.
But how can you use AI for your business? What are the necessary considerations and preparations to make your project successful? How do you start, and what ROI can you expect?
In this episode, Crosser CTO Goran Appelquist (Ph.D.) and Top Data Science Sales Director Vesa Jaakola will walk you through the strategy, development, and scaling of an Industrial IoT AI project.
During the 30min presentation, you will learn the essential steps of:
Agenda
Setting up the right infrastructure - data pipeline - for your AI project
How to choose a development Strategy for different AI applications
How to scale your AI project into production
Duration
30 minutes
Price
Free
Language
English
OPEN TO
Everyone
Dial-in Number
Please register for this Webinar to view the dial-in info.
Johan has 15 years background working with marketing in all possible type of projects. A true entrepreneurial spirit operating between strategic and hands-on details. He leads our marketing efforts as well as the product UI design.
Vesa is a seasoned sales executive with 20 years’ experience in international sales and management roles in leading technology companies. Last 5 years he has been actively involved in AI & IoT field helping customers to deploy solutions to...
Hung Ta, CTO & co-founder. Hung holds a PhD in Data Mining and Bioinformatics. His 15-year work experience includes senior technical roles in companies such as Accenture, Siili and Avaus.
Hung has several years experience in leading demanding AI...
A technology driven executive with extensive international experience in general management, stake holder management, strategic/global account management, sales management, complex system offerings and high tech start-ups.
My career started in the academic world where I got a PhD in physics by researching large scale data acquisition systems for physics experiments, such as the LHC at CERN. After leaving academia I have been working in several tech startups in...
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