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International Training Workshop on Big Data for Developing Countries 2019
Background

Industry 4.0

Industry 4.0 (sometimes referred to as the fourth industrial revolution) is basically the next stage in the digitization of the manufacturing sector. The three previous major shifts in manufacturing have been the 1970s lean revolution, outsourcing boom in the ‘90s and automation in the 2000s. Big data, advanced analytics, artificial intelligence, Internet of Things (IoT), human-machine interfaces and digital to physical transfer (3D printing) are all combining to form the fourth industrial revolution.

 

Many of these aspects are already in evidence for a lot of businesses but in the coming years are bound to become more prominent. Some will affect the whole supply chain or process while others will only impact a small part. Smart factories will be at the forefront of pushing Industry 4.0 through, making the use of such elements to improve cost-effectiveness and product quality.

 

In many developing countries, many professionals in government, in industry and serving nongovernmental organizations are challenged by the fast pace of technological change. Science and Technology is without doubt a strategic driver that contributes toward the shift from relatively lower end economic activities into high value added activities.

 

As such, professionals who understand the dynamics of science and technology within the context of economic and market development, are critical to help in designing blueprints and strategic implementation frameworks to lead strategic transformation within countries and organizations.

 

Big Data

Day by day more data generated in this new age. How knowledge should be acquired, disseminated and then serve the humans pose a new challenge. Mass data distributed across all social institutions feature different backgrounds, structures and constant growth. They are all there, but the professional in STI cannot make full use of them, due to the lack of interconnection among them. Big Data platform provides a potential solution to collect data resources, to integrate science and technology forces and to strengthen academic exchanges and collaboration to address this challenge.

 

Relevant data is necessary not only in providing required and timely information for efficient planning but also for monitoring. Within the context of the UN Sustainable Goals, big data can be utilised to get relevant high quality information with greater detail as it supports the integration of data from new technologies with traditional data.

 

 

With this in mind, ISTIC, IKCEST and CARISCIENCE are committed in ensuring developing countries are not left behind in the pursuit of economic development impeded by the absence of a technological capability to harness new opportunities, that will generate income, jobs and revenue for countries. The Big Data Application in engineering, science and technology provides a potential solution that can enhance/advance the decision making and problem solving in STI into higher level.

 

5 Advantages of Big Data:

  • Innovating new business, models, products and services
  • Creating transparency in organizational activities that can be used to increase efficiency
  • Enabling more thorough analysis of employee and systems performance in ways that allow experiments and feedback
  • Segmenting populations in order to customize actions
  • Replacing/supporting human decision making with automated algorithms

 

Objective

 

The main objective of training workshop is to provide the necessary knowledge and skills to participants in the organisation to support STI agenda through the establishment of systematic knowledge management with Big Data Technology Application.

 

Expected Outcomes

 

The outcomes of the training workshop are:

  • All participants will gain the necessary knowledge and experience on how to establish big data system for STI knowledge management strategies for their countries/organisations.
  • The establishment of networking among and between participants from the various countries in the Developing Countries.
  • Participants trained from the workshop can provide training and leadership on Big Data system formulation to other possible audience from their own organisations/countries.

 

 

 

OPENING CEREMONY & RECEPTION

 

Sunday, 22nd September 2019

Faculty of Social Sciences Lounge

University of West Indies, St Augustine,

4:00 p.m. - 8:00 p.m.

 

CHAIRPERSON: Dr Brian Cockburn, Dean, Faculty of Science & Technology, UWI, St. Augustine

 

Opening Remarks: Professor Harold Ramkissoon, President Emeritus CARISCIENCE

 

Welcome Address: Professor Brian Copeland, Pro-Vice Chancellor and Campus Principal, UWI, St. Augustine

 

Greeting from CARISCIENCE: Professor Dyer Narinesingh, President

 

Remarks from IKCEST: Ms. Liu Chang, Director of Division of International Cooperation

 

Remarks from ISTIC: Mr. Mohd Azim Noor, Programme Manager 

 

A Word from Our Sponsor: 

  • Mr. Ian John, CEO, Massy Technologies InfoCom

 

Feature Address: Senator the Hon. Paula Gopee-Scoon Minister of Trade and Industry

 

Vote of Thanks: Mrs Laura Rambaran-Seepersad, Public Relations Officer, CARISCIENCE 

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