Earlier I had written about the key themes on the agenda of major governments worldwide for the United Nations Global E-Government Forum. From my prior post, you can see that Big Data, machine learning and analytics are high priorities. Closely underlying this is Hadoop or similar platforms and machine learning (and deep neural networks). This underscores the post by T.K. Rengarajan, corporate VP, Data Platform where he talks about real-time analytics for Apache Hadoop in Azure HDInsight, new machine learning capabilities in the Azure Marketplace. Rengarajan goes on to say that Big Data, including Hadoop and advanced analytics, is changing the way customers do business. He also goes on to add that “Microsoft Azure Machine Learning helps customers and partners rapidly design, test, automate and manage predictive analytics solutions in the cloud. For example, search engines, online product recommendations, credit card fraud prevention systems, GPS traffic directions and mobile phone personal assistants all use the power of machine learning to provide people with valuable insight. Today, we are introducing new machine learning capabilities in the Azure Marketplace enabling customers and partners to access machine learning capabilities as Web services. These include a recommendation engine for adding product recommendations to a website, an anomaly detection service for predictive maintenance or fraud detection and a set of R packages, a popular programming language used by data scientists. These new capabilities will be available as finished examples for anyone to try.”
These are significant additions and highly recommended supported by my experiences at the GeGF last week, underlying the strong need for these Microsoft solutions.
I just returned from the United Nations-supported Global E-Government Forum and Scientific Practical Conference (GeGF). The first two UN-GeGF were hosted in South Korea and the third was granted to Astana. I chaired (moderated) and keynoted the opening session of the conference and was invited to the international Ministers Roundtable discussion. The Ministers Roundtable speeches and discussion items appear in the final report from the forum and are submitted to the United Nations General Assembly. It was an interesting experience with two television interviews and two media/online press interviews which were quoted in the final reports appearing with the forum as illustrated by this example: Recommendations worked out at Global E-Government Forum 2014 will be included in UN member states development plan.
The ultimate goal of the Forum was to enhance government capacity through presentations, discussions, and peer-to-peer learning. There are four objectives towards this goal:
· to increase knowledge of e-Government policies, trends, solutions and best practices of countries;
· to enhance global network to exchange ideas and cooperate for e-Government development;
· to make recommendations and suggestions to provide guidance for governments so they could adopt them for realizing Smart Government and Smart Society; and
· to renew the commitment of policy makers to utilize their acquired knowledge and expertise for elaborating innovative e-Government development strategies fit for their countries.
As a part of the Forum, the International Scientific Practical Conference brought together global scientific experts in ICT. The main aim of the Conference was to determine the significance and role of new ICT trends and their adoption in public sector for effective governance.
The conference consisted of three sessions:
1. Data science for Smart Government;
2. Smart convergent technologies;
3. Use of architectural approach in the public sector.
Topics are interest include:
Data Science for Smart Government:
- Open Data;
- Open Government Data;
- Big Data Science and Foundation;
- Big Data Analytics;
- Big Data in e-government;
- Big Data in Smart city;
- Big Data in industry;
- Big data in Healthcare;
- Sensor Data, Streaming Data;
- Metadata and public information;
- Business Intelligence;
- Information retrieval;
- Data Privacy and Security;
- Acquisition, Modeling and Processing of Data;
- Data Structures and Algorithms;
- Data mining and data warehousing etc.
Smart convergent technologies:
- Grid and Cloud Computing;
- Hybrid information technology;
- Mobile computing;
- Digital convergence;
- Convergent technologies for smart government;
- Intelligent communications and network;
- Multimedia convergence;
- Internet of Things;
- Digital citizen cards;
- Smart Card and RFID Technologies;
- Electronic signature;
- Geographical information systems (GIS);
- Cross Domain Interoperability;
- Interactive decision making;
- Knowledge management, intelligent systems;
- Open source solutions for e-government;
- Ubiquitous Computing and Embedded Systems etc.
Use of architectural approach in the public sector:
- E-government enterprise architectures;
- Information systems architecture;
- Service-oriented architectures, web services;
- E-gov framework;
- Government collaboration patterns;
- Business Process Management in E-government etc.