Agenda

Keynote: Adopting a Whole-of-Government AI Strategy to Increase Efficiency, Reduce Operational Costs, Improve Service Delivery and Increase Citizen Engagement

• Augmenting policy and resource allocation decisions thereby improving effectiveness of policy with optimized staff and resource allocation and citizen satisfaction from predictive citizen sentiment
• Optimizing staffing and resource availability with improved efficiency of better staff and infrastructure utilization from service and resource demand forecasting

AI in Enhancing Government’s Productivity: How AI and Robotic Process Automation Will Slash Paperwork Burdens, Reduce Manual and Repetitive Tasks with Bots

• Reducing administrative burden and workload with Robotic Process Automation and Intelligent Automation while improving public service quality with decreased response time and increased accuracy and consistency

The AI Journey Begins with A ‘Single View of the Citizen’

Developing Next Generation Hospitals and Healthcare Delivery with AI and Machine Learning: How AI, Chatbots and Virtual Reality are Transforming Patient Care and Experience

How Predictive Analytics and AI Can Data Mine Public Sentiments and Help to Improve on Policy-Making

• Opinion mining, which uses the latest advances in artificial intelligence (AI) to mine public opinion for sentiment. By analyzing online public opinion, governments can now access a set of insights that can shape strategy and better measure the public’s experience of their policies and services.
• Combining AI and human understanding provides the ability to gather and process huge data sets and still gain an accurate understanding of public sentiment.
• By tapping into the text analysis powers of artificial intelligence, and by overlaying it with the refinement of crowd-based analysis, the world of opinion mining is set to change the way governments conduct research, make decisions and measure the impact of these decisions

Roundtable: Sector-specific AI Case Studies:

Citizen-centric Delivery of Services: How AI Can Improve the Citizen Journey with Government

Citizen Experience: Conversational AI Chatbots in Government Improve Customer Experience and Reduce Waiting Time

Using Predictive Analytics and AI to Do Audit Targeting and Improve Public Safety

Ways to Think About AI: Mental Models for Deeper Engagement

ABS Case Study:  A ”Next Generation” Analytical System Called GLIDE

• City of Casey has won a major category award at the 2018 Victorian iAwards for APSone, an ambitious program to digitize and transform local government services. It was awarded the Artificial Intelligence or Machine Learning Innovation of the Year of Australia’s longest-running innovation recognition program.
• Vision is to satisfy residents and provide services before they know they need it.
• This Melbourne smart cities solution, has identified millions of dollars in savings and performance improvements, each year, across the municipality.

CSIRO Case Study: How AI And Big Data Analytics Can Transform Urban Transport Networks and Improve Transport Efficiency

• Using machine learning techniques to create tools including an integrated traffic database created by fusing multiple private and public sector data sources together, large scale transport modelling platforms, and comprehensive machine learning libraries for traffic data analysis.
• Monitoring the entire traffic network, including suburban streets to provide quantitative measures of operational performance, quantifying and resolving the impact of traffic incidents, influencing the behaviour of travellers through real-time information, and being able to evaluate transport projects in terms of their impact on traffic demand and distribution.

Case Study: How NSW government is tapping on AI To Transform its Procurement Costs

• NSW government is working with Microsoft to develop a new machine learning tool to automatically monitor its annual procurement budget and track when money is being wasted and explore ways to cut costs.
• The technology is being developed in partnership between Microsoft and NSW Data Analytics Centre (DAC), with hopes of turning it into a commercial software service which can later be sold to other governments.
• Aim is for this AI categorization tool with demonstrated proof-of-concept to help NSW government save annually in its procurement budget, thereby driving efficiencies into other critical areas of public policy

• Business processes are central to the operation of enterprises. Recently, the continuous improvement in connectivity, storage and data processing capabilities allow access to a data deluge from open, private, social and IoT data. Accordingly, these have made Data-Driven and Knowledge-Intensive processes more prevalent.
• The first step to build/use an AI application, to support such processes, is to understand the big data generated around the processes; and prepare them for analytics and decision making. To address this challenge, we have introduced the novel notion of “Knowledge Lake”. This talk gives an overview on the Knowledge Lake and presents the prototypes/tools we have developed to assist knowledge workers in Policing, e-Saftey and Budget Analysis processes.

• Predictive maintenance is achieved through connected sensors, switches and AI-enabled tools that can analyze thousands of variables at play to find insights that would otherwise go undetected. Data from various sources can be collected, combined and analyzed in real time so that faults can be anticipated before occurrence, thereby substantially reducing and controlling maintenance costs.
• AI systems, with machine learning algorithms that can examine large troves of disparate data, learn from examples, recognize patterns and draw on previous examples, can deliver analysis of all that information in close to real time. Predictive maintenance takes data from multiple and varied sources, combines it, and uses machine learning techniques to anticipate failure before occurrence.

• Agencies and project teams should first discuss the role of artificial intelligence in the organization, tasks that AI could make easier and outcomes to expect
• Once agencies and project teams have identify areas where AI can help to achieve missions, resources, AI experts, staff time and budgets to support implementation of AI technology should be mapped out
• Start small on a smaller scale before full deployment of AI. Using a pilot program enables familiarization with the technology, and error-spotting and correction for system improvement

• Start small. Artificial intelligence, like most new technologies, is best tested on a small scale before it is deployed fully
• Using a pilot program enables people to familiarize with the technology and catch errors and correct course. And it enables the system to improve

• A huge volume of commitments since 2014 and analyzing them with respect to certain topics was a challenging area
• AI decision-making system integrated with Social Media listening platform to extract key problem areas of Victorians
• Accessibility options provided by AI, introduced a platform to segment the commitments and select the desired commitments based on key problems
• AI and human understanding provide the ability to create reports and briefs for the MPs, departments, and Ministers

• Each year VAGO undertakes around 550 audits of financial reports.  To do this we collect similar datasets year on year and undertake rules based testing (also known as computer assisted audit techniques) over these datasets.
• Audit procedures such as Benfords analysis and relative size factor only take us so far.  Here at VAGO, we are examining ways in which we can use AI to further reduce the false positives that arise from audit procedures undertaken.

Lessons Learnt in AI Implementation: Interpreting Information From Technical Perspective

This post conference program will help you develop the skills necessary in utilizing data analytics to lead and impact different parts of your government organization.

Framework for delivery:

• Key capabilities and components
• Teradata’s experience
• How to delivery citizen-centric digital services

Amanda Purdy
Senior Industry Consultant
Teradata

Delegates will also see how AI could be used to improve the job satisfaction of public servants, and to increase the quality of services offered.