Post-Conference Workshops - 7 December 2017

9:00 AM - 12:00 PM Workshop C | Making Sense of Data: Effectively Translate Data into Powerful, Actionable Insights with AI

AI is nothing without data – its algorithms will be rendered futile, and the cognitive capabilities left untouched without the raw material that is data. In today’s digital age, enterprises sit on massive amounts of data from many different sources. This presents an immense opportunity for businesses to derive meaningful insights from these data to drive business growth. What is the best way to translate massive amounts of data into actionable insights? How can we collect and structure data in the most cost-effective manner? This hands-on workshop will explore best practice methods to productively preserve, maintain and present data.

Learning Objectives:
  • Understand how to effectively collect, arrange and sort out massive amounts of data
  • Effectively deal with structured vs. unstructured data
  • Develop internal knowledge and capabilities to process large data-sets
  • Build strategic steps to translate data into insights

Who is this workshop for?
  • Heads/Managers of Data/Analytics/Information
  • Heads/Managers of Technology/IT
  • Heads/Managers of Innovation/Digital/Strategy/Transformation
  • Heads/Managers of Operations/Shared Services/Service Delivery
  • Project Managers / Business Function Heads

1:00 PM - 4:00 PM Workshop D | An End-to-End Process Guide: Successfully Mapping Your AI Project

Roy Goh, Director, Analytics, Service Delivery and Management, Merck, Sharp & Dohme
An AI project is a high-stakes game. It requires greater investments in time, money and resources – and we want to get our AI project “right”. Now that you are looking to implement your AI project, what do you need to have in place to kick-start your project? How do you get your stakeholders involved and engaged in your AI project? This interactive workshop will give you a step-by-step guide to implementing your AI project, and will provide you with a clearer understanding of what you will need to be better prepared for it.

Learning Objectives:
  • Align the end-goal of your AI project with organisational objectives to attain stakeholders’ buy-in
  • Identify the infrastructural support, data and skillsets critical to the success of an AI project
  • Enhance internal knowledge and capabilities to support your AI project
  • Set clear benchmarks, KPIs for project evaluation
  • Avoid potential pitfalls in AI project implementation

Who is this workshop for?
  • Heads/Managers of Innovation/Digital/Strategy/Transformation
  • Heads/Managers of Operations/Shared Services/Service Delivery
  • Heads/Managers of Data/Analytics/Information
  • Project Managers / Business Function Heads

img

Roy Goh

Director, Analytics, Service Delivery and Management
Merck, Sharp & Dohme