AI MONETIZATION STRATEGIES MASTERCLASS
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.
KEY TAKEAWAYS
Attendees will learn how-to and practice:
- Monetize their data assets using advanced analytics and AI
- Construct “quick wins” AI-powered monetization business cases that can be developed almost immediately
- Relevant industry hands-on case studies
TRAINING TOPICS
- The Artificial Intelligence landscape: An introduction to AI technology and applications
- Organizational big data analytics and AI maturity: The stages of analytics and AI maturity and how they are related to business strategy, culture, people, process, and technologies
- The AI ecosystem: Understanding the AI-powered analytics environment from Data Ingestion, ETL and Analytics, to Reports, Actionable Insights, and Organizational Transformation
- The operations and money-making data scientist: The roles of different data scientists, what they do and the value they create for the organization.
- Setting up a data factory to create your blue ocean of data variety and competitive advantage
- Building a data-driven culture, handling cultural conflict, and dealing with people and machines
- AI and data monetization: Driving value from raw data to insights
- Ethical AI considerations: The role of big data in AI development and its moral and ethical dilemmas surrounding businesses, individuals, and governments
- Data governance: How to ensure better and cleaner data for superior AI-driven analytics and better business results
- Creating AI-powered data products: From standalone black boxes to end-to-end solutions
- A systematic approach to starting an AI-driven project: Introduction to the CRISP-DM Methodology
- AI-driven industry use cases: Examining specific AI monetization use cases and success stories that are relevant to the participants
- Group activity: 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
Who should attend
This professional training is designed for Technical Professionals as below:
- CEO/Managing Director
- Business Owner
- CTO
- CIO
- Data Scientist
- Data Engineer
- Data Analyst
- Big Data Department Staff
- Big Data Project Lead
- Solution Architect
- Big Data Executive
From various local and global organizations. It is suggested to
attend this masterclass as a group, so that we can create an Action Plan for your organization as a team.