Insight Session

Harnessing the Power of Big Data and Analytics for Better Governance and Improving Citizens’ Lives

The Taj Mahal Hotel
May 8, 2018
India

Harnessing the Power of Big Data and Analytics for Better Governance and Improving Citizens’ Lives

Enabling World-Class Citizen-Centric Services with Intelligible Big Data Analytics

Event Date:
May 8, 2018
through
Contact:
Ellen Quek
ellen.quek@opengovasia.com
Event location:
Delhi
India

Harnessing the power of big data is the next frontier for governments. Big data analytics uses data science and machine learning for better understanding. OpenGov invites you to an exclusive Insight Session to learn and discuss the application of analytics to derive insights and drive program efficiency.

Registration

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Speakers

Venue Location

The Taj Mahal Hotel

 No.1, Man Singh Road, New Delhi, Delhi 110001, India

https://taj.tajhotels.com/en-in/the-taj-mahal-hotel-new-delhi/
Delhi
India
The Venue details have yet to be announced.

Agenda Information

Interested in getting the Agenda for this event? Request a copy from our staff (opengov@opengovasia.com):

Who should attend?

This is a closed-door invitation only to an interactive session with India’s top government agencies and industry experts

Who Should Attend :

  • Chief Information Officer
  • Chief Data Officer
  • Director General
  • Permanent Secretary

Topics Covered

  • How to support digital transformation by modernising your infrastructure and adopting new architectural approaches and platforms for machine learning and analytics optimised for cloud
  • How governments can better tackle data collection and curation,to glean insights through a broad spectrum of tools and enhance services
  • Reducing backlogs and performing end-to-end business processes on a massive scale
  • Producing models that can analyse bigger, more complex data and deliver fastermore accurate results 
  • Identifying hidden opportunities, detecting fraud, and avoiding unknown risks through intelligible analysis of available data
  • Overcoming the hurdle of resource constraints using cognitive technologies

Event Summary

                               

Do you wish that you have access to data that you can trust, analytics you can rely on and the insights needed to make game-changing and faster decisions?

Data is growing at an exponential rate. In fact, by 2020, it is indicated that there are going to be more than 30 billion connected devices and that there will be 440 times more data than there is today.

Harnessing the power of big data is the next frontier for governments. Big data analytics uses data science and machine learning for better understanding. It helps in tracking and prediction of trends to improve government delivery of existing public services in areas of national defence, education, healthcare, transportation, taxation, and civic engagement.

With these insights, governments will be more empowered, informed and confident to make decisions around planning and policy formulation to promote economic growth, public safety, improve citizen welfare and infrastructure.

As Prime Minister Modi mentioned, "With over one lakh villages linked with optical fibre, 121 crore mobile phones, 120 crore Aadhaar and 50 crore internet users, India is best placed to leverage the power of technology and leap-frog into the future while ensuring empowerment of every citizen." 

With India being one of the most tech-friendly populations, this only means that with better connectivity and rising internet users more data will be generated and hence the need to structure it and use it constructively to make a positive difference in people’s lives.

With various ministries and departments taking a lead in deploying Big Data Analytics, Machine Learning and Artificial Intelligence, India is all set to revolutionise the use of these cognitive technologies to march ahead and have better governance models in place.

Some notable examples of Indian Government using Big Data Analytics, Machine Learning and Artificial Intelligence for better state outcomes:

  • Income tax Department is using Big Data to  identify tax evaders by implementing “Project Insight”
  • Bangalore Water Supply and Sewerage Board (BWSSB) uses  data to address the critical issue of equitable drinking water distribution. Kerala is another such state making use of data analytics for better water management and distribution
  • Commerce and Industry ministry constituting a task force on artificial intelligence (AI) to ensure “India’s economic transformation”
  • NITI Aayog, the premier policy think tank of the Government of India, will initiate a national program to direct efforts in the area of artificial intelligence, including research and development of its applications
  • The Aarogyasri Health Care Trust (health insurance schemes to Below Poverty Line families), developed by the Telengana Government is using Healthcare Analytics to track and monitor health, track disease patterns, and launch proper healthcare facilities in needy areas, manage free medicines, etc.

Governments around the world are beginning to utilise big data to solve a range of pressing policy problems. Notable among them are Australia, New Zealand, Singapore, South Korea and United Kingdom. The Australian Ministry of Finance, for instance, has developed a big data strategy, which provides a holistic approach to use big data in order to enhance existing services, deliver new services and provide better policy advice, while incorporating best practices for privacy protection.

OpenGov Insight will focus on the application of analytics to derive insights and drive program efficiency.

You are invited to this exclusive Insight proudly brought to you by OpenGov platform to learn and discuss:

  • How to support digital transformation by modernising your infrastructure and adopting new architectural approaches and platforms for machine learning and analytics optimised for cloud
  • How governments can better tackle data collection and curation,to glean insights through a broad spectrum of tools and enhance services
  • Reducing backlogs and performing end-to-end business processes on a massive scale
  • Producing models that can analyse bigger, more complex data and deliver faster, more accurate results 
  • Identifying hidden opportunities, detecting fraud, and avoiding unknown risks through intelligible analysis of available data
  • Overcoming the hurdle of resource constraints using cognitive technologies

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