The power of modern analytics in Smart and Safe Cities: interview

AvantiKumar

How can Malaysia make up for skills gaps in vital areas of building information technologies behind smart cities?
 
It is extremely important to the supply side economies needs to be balanced with the growing demand side economies of the IoT era. I firmly believe when it comes to IoT, kick-starting the supply side would provide the competitive advantage to Malaysia in its endeavour to become the Regional Hub.

If we see the technology components of IoT, analytics and mobile applications constitute around 70-80 percent , sensors & hardware constitute around 10-15 percent, communications and networking around 5-10 percent  and computing storage around 5-10 percent.

  The innovation potential is maximum in the first two components. So also as seen in many other countries the skill gaps in terms of availability and expertise in these two areas are maximum.

Globally, Institutes of Higher Learnings are playing a significant role in addressing this skill gaps by collaborative offering masters / graduate programs in advanced analytics and sensor/networking technologies. As regards to Analytics Programs in Universities / IHL, SAS has been working with various universities to offer degree programs in advanced analytics with support in designing of curriculum, software, training, evaluation, pilot IoT project participation and SAS certification process.

Joint Certificate programs have significant industry recognition, with potential of campus recruitment by leading product and services companies.

A similar approach can be rolled out by Universities in Malaysia with the support in form of governance and budgets from multiple ministries such as Education, Natural Resources and Environment, Science Technology and Innovation, Energy, Road Transport, Urban Wellbeing Housing and Local Government and ICT.

"Context Hubs" for Energy, Waste, Environment, Health, Mobility, and Citizen Services as Research and Innovation Centres of Excellence can be created in universities such as University of Malaya, University of Tenaga and others.
 
With the need to practise environmentally sustainable policies, can you draw some case-study examples from around the world that also show the business and social benefits of smart cities from cutting edge innovative use of advanced analytics?
 
Advanced Analytics has been equally applied in all the "context areas" - Energy including Water, Environment, Mobility and Lifecycles.

One of the most important demographic events occurred in the 21st century is the increasing number of older persons in community through a demographic event, known as demographic aging, or population aging. Like many of the developed economics, Malaysia's population also is ageing due to increase in life expectancy, changing demographic and family structure.

It is common to see elderly people requiring round‐the‐clock care from caregivers due to declines in physical and mental abilities. Elderly people who are frail and disabled spend most of their time in bed. Therefore Smart Health Care for elderly citizen integrating hospital data, treatment data, body sensor data of vital parameters, transport/traffic data is one of the most important use cases being pursued in many of the countries round the globe.

Advance analytics plays a very big role in the overall process right from hospital to home and during the transit in areas such as identifying readmission rates, generating early warning alerts and situational awareness using streaming analytics to name a few.

Another phenomenon that we see is that 50-60% of energy consumption is in the buildings and 30 percent of energy consumption is by transport. It goes without saying that environmental pollution, especially large amounts of greenhouse gas emissions, are a serious threat to the life and health of people.

Therefore Energy Efficiency programs under 'Smart Buildings or Smart Townships or Smart Data Centres or Smart Public Transportation' are seen as a practical and cost-effective means of mitigating carbon dioxide emissions while sustaining economic development amidst changing global scenarios and energy economies. Application of analytics on HVAC systems of Buildings plays a major role in reducing energy consumption of the buildings.

Mega cities in both developed and developing countries face big challenge in maintaining safety in transportation safety, smooth traffic flow, and an environmentally friendly and sustainable urban environment.

Advanced Smart Transportation systems including emergency call systems, electronic toll collection, and systems for preventing accidents are being deployed by various countries. Intelligent traffic light lighting systems need self-adaptive analytical capabilities with simulation capabilities and large scale integration of GIS data to deliver a congestion free transportation network greatly reducing the productive hour lost and reducing the environmental pollution and saving energy.

Predictive Asset maintenance is an area that smart cities are focussing targeting the increase of the assets lifecycle industry, government and private asset. Smart Plants initiatives are being taken up by automotive manufacturing industry, power plants, upstream oil producing companies, refineries and petrochemicals specifically around asset and process performance optimization.

Having the IoT infrastructure part already in place, these companies are now ramping up their advance analytics capabilities to generate actionable intelligence around assets, customer and processes.

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