Artificial Intelligence Monetization
Monetizing your artificial intelligence (AI) initiatives comes in many flavours. You can focus on using AI to improve your organization’s productivity and drive down costs. You can also create new revenue opportunities with AI by making actionable insights available to clients.
This masterclass shows you how multiple aspects of the organization need to come together – from creating a data-driven culture and conceiving new datasets, to governing its data and knowing how to build data-powered products – to create a money-making factory powered by AI.
How AI Training Can Help You Stay Ahead of the Curve in Technology
If you’re looking to stay ahead of the curve in technology, artificial intelligence training can help. Artificial intelligence is constantly evolving, and by keeping up with the latest advancements, you can ensure that your skills are always up-to-date. Learning how to use AI can help you automate tasks, improve efficiency and accuracy, and make better decisions. With the right training, you can become an expert in AI and use it to stay ahead of the competition.
Expected Learning Outcomes:
At the end of this highly interactive learning course, participants should be able to:
a) Understand AI and obtain the necessary knowledge on how to leverage on the technology
b) Embrace AI in Business model to utilize on data assets using advanced analytics and AI functionality
c) Obtain in depth insights with list of “quick wins” through successful relevant industry use cases
Course Methodologies:
- Case studies
- Experiential activities
- Interactive group reflection
and brainstorming - Strategic action plan creation
Learning Duration:
- 2 Day (Offline)
- 14 Hours (Online)
Course Outline and Syllabus
- An introduction to AI technology and applications
- The stages of analytics and AI maturity and how they are related to business strategy, culture, people, process, and technologies
- Understanding the AI-powered analytics environment
- Data Ingestion
- ETL, Analytics and Reports
- Actionable Insights
- Organizational Transformation
- The roles of different data scientists, what they do and the value they create for the organization.
- Driving value from raw data to insights
- Introduction to CRISP-DM Methodology
- Examining specific AI monetization use cases and success stories that are relevant to the participants
- AI-driven monetization business case brainstorming and prioritization: A logical process of analysis and prioritization to identify “quick wins” AI business cases for the participants’ organization. The identified “quick wins” business cases will justify the AI proofs-of-concept and projects
Contact Information
+60 17-282 8183
P37, Kelana Square,
Jalan SS7/26, Kelana Jaya,
47301 Petaling Jaya, Selangor.
