Leading with Big Data Analytics & Machine Learning

Innovation & Transformation
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Fallon-D Han
+65 6516 1037

Overview

Harness the Potential of Big Data and Machine Learning

The convergence of big data and machine learning with technologies such as cloud services, sensors, ubiquitous computing, mobile devices and the Internet of Things has created vast new opportunities for business. Analytics has become a competitive and sustainable advantage for many organisations. To harness the benefits of big data and machine learning, however, business leaders face the pressing challenge of not only acquiring the right technologies and talent to analyse and interpret the data, but also to weave a data-centric mindset into the organisation’s structure and cultural fabric.

This five-day programme empowers you with the skills and confidence to tackle data-driven opportunities and accelerate data-analysis transformation in your organisation. Through lectures, case studies and discussions, you will gain real-world insights on various applications of big data analytics and machine learning, and how they can be used to fuel better decision-making within the context of your own organisation.

Core Focus

  • Big data analytics: Technologies, policies, analytics methods
  • Big data and actionable intelligence in business: Optimisation and visualisation techniques, engaging stakeholders
  • Tech dive: Machine learning and business applications
  • Disruptive innovation: Creating new opportunities in mature markets
  • Distilling value from analytics: Developing a strategy roadmap, privacy implications, traps and myths
  • Change management: The role of data analytics, machine learning and its applications
  • Examples and cases: Risk management, HR analytics, legal analytics, consumer and retail analytics

Key Benefits

  • Discover how big data and analytics can help your business accelerate innovation and achieve a competitive and sustainable edge
  • Be exposed to some of the most recent ideas and techniques in big data, machine learning and analytics
  • Learn to understand, interpret and trust the data that goes into your analytics to make business-critical decisions
  • Learn to build a data-driven culture across your organisation

Who Should Attend

Leaders and senior managers interested in building analytics capabilities to drive change within their organisation, including:

  • C-level executives
  • Senior managers in finance, marketing, supply chain, human resources or strategy

Although no prior experience in big data, machine learning and analytics is required, participants are encouraged to complete the set of pre-readings provided to prepare for the course.

Past Participants

  • Business Development Manager
  • Chief Operating Officer
  • Chief Technology Officer
  • Client Services Manager
  • Country Manager
  • Director, Operations
  • Director, Global Markets & Products
  • Director, HR & Regulations
  • Entrepreneur
  • General Manager
  • Head of Foundation
  • IT Manager
  • Marketing Manager
  • Operations Manager
  • Principal Engineer
  • Product Manager
  • Regional Business Analyst
  • Regional Export Manager
  • Sales Director
  • Senior Procurement Manager
  • Supply Specialist
  • Vice President

Dates and Fees

Application Deadline

  • Participants are strongly advised to apply at least 2 months in advance
  • Applications received after the deadline will be considered based on space availability