OVERVIEW

This comprehensive Data Strategies for Artificial Intelligence (AI) Projects workshop is designed to equip professionals with the essential knowledge and tools to successfully integrate AI into their business operations. By covering key principles of data management, AI project execution, and data governance, this intensive program empowers participants to harness AI technologies effectively for business growth and innovation.

Participants will learn how to develop and implement a data strategy that ensures high-quality data for AI applications, navigate challenges in data management, and overcome organizational and technical barriers. With practical sessions focused on risk management, data governance, and the successful execution of AI projects, this workshop provides participants with data strategies they can apply immediately to drive business innovation and success through AI.

A special emphasis is placed on driving marketing outcomes through AI. Attendees will explore how a strong data strategy can transform marketing efforts, from improving customer segmentation and campaign targeting to enhancing predictive analytics for sales and customer engagement. Through real-world case studies and tailored assignments, participants will discover actionable ways to integrate AI into marketing tools, enabling them to design data-driven strategies that maximize ROI and deliver measurable results.

5 REASONS WHY YOU MUST INVEST YOUR TIME

• Hands-On, Practical Learning
  Engage in interactive sessions and real-life case studies to deepen your understanding of AI data strategy and governance.
• Proven Frameworks and Tools
  Receive valuable templates, such as AI data strategy plans and risk management frameworks, to streamline your AI implementation.
• Expert-Led Insights
  Learn directly from Ville Kulmala, who has over 20 years of experience in AI and data strategy.
• Comprehensive Knowledge
  Master data governance, risk management, and the fundamentals of AI project execution.
• Immediate Application
  Walk away with actionable strategies and tools you can implement right away to integrate AI into your organization’s business processes.

KEY TAKEAWAY

• Gain the ability to create and implement a data strategy that enhances AI-driven marketing and business development initiatives.
• Develop a comprehensive risk management plan to ensure responsible AI and data governance.
• Understand key AI project execution elements and how to overcome challenges in applying AI to sales, marketing, and business growth efforts.
• Learn how to foster collaboration between marketing, sales, data, and IT teams to drive AI-enabled innovation and achieve business objectives.
• Analyse and design AI use cases tailored to marketing and business development, such as customer segmentation and predictive analytics for practical, real-world impact.

OUR DISTINGUISHED TRAINER

Ville Kulmala
President, Data Management Association (DAMA) Singapore

Ville Kulmala has built a career in the technology industry for over two decades, with a focus on data strategy in his various roles. Ville sees data as crucial not only in creating effective digital platforms, AI models, and data-driven operations, but also as a productivity tool for business experts to scale and strive for both business and personal growth. His main goal is to deliver coherent data strategies that empower companies to understand, manage, and optimize their data assets.

With a background that includes collaborations with enterprise technology vendors, leading business consulting firms, and venture capitalists, Ville has successfully executed technology projects across diverse sectors such as finance, telecommunications, and more. These include Nokia, Heineken International, Papyrus Software, BNP Paribas, Accenture Management Consulting, LogicaCMG, KPN Telecom, Uno Digital Bank, ING Investment Management, Areva, Nets, Krungthai-AXA, Nissan and ABN AMRO Global Markets. He currently serves as President of DAMA Singapore (dama.org) and Data Tuesday platform. He also lectures on data and AI governance in leading regional universities.