CONFERENCE AGENDA DAY ONE

• Overview of vision and strategy plans of government authorities on the optimization and usage of data in the region.

• Discussing goal setting, benchmarking, and establishing a reference point to measure your progress.

• Recognizing the transformative potential of data analytics and its role in innovating
  smart services and improve quality of life for citizens and residents.

• Leveraging data analytics to unlock key information, improve transparency and
  efficiency in citizen management.

• Identifying and providing the necessary and accurate data for the private sector to
  support economic development.

• Addressing different regulatory frameworks to manage risks and optime data usage and potential in the region.

• Potential in the region
  
  

• Understanding data sharing capacity from a national data platform perspective to provide effective and easy user access to all available resources.

• Overcoming data silos to build and empower cross-functional teams.

• Utilizing data to validate a course of action before decision making.

• Identifying the right combination of data solutions to make data-driven decisions and create excellent citizen experiences.

• Unlocking the value of location data insights using visualization and other geospatial technologies.

• Discussing the best models in Machine Learning to be applied on collected data to optimize government smart services.

• Exploring latest AI techniques to extract insights and new patterns from new data to enable predictive analysis.

• Classifying the algorithms utilized to update the probabilities after the initial data analysis is generated.
  
  

• Exploring intelligent technologies (ML, AI, RPA, blockchain, augmented analytics, etc.) to understand and achieve operational excellence.

• Leveraging full potential of data virtualization to maximize advanced analytics in
  modern data architectures.

• Deriving insights with cognitive and predictive analytics to accomplish set goals.

• Aggregating and analyzing data in real time to align critical processes, manpower and technologies.

• Evaluating IIoT technologies to automate and process data which will help optimize decision making and enable transformation
  
  

• Utilizing spatial data analytics to solve complex geo-based problems and fact-based decision making.

• Leveraging advanced spatial analytics to effectively examine large data sets and eliminate errors.

• Looking at the analysis of visuals of 2D and 3D spatial technology to understand the corresponding properties and implications.

• Reviewing state-of-the-art technology of spatial modelling to identify key achievements and challenges.

CONFERENCE AGENDA DAY TWO

• Understanding data sovereignty framework of the region and discovering data law challenges.

• Discussing data analytics regulatory framework to ensure optimization of data usage.

• Addressing the need for a data-driven strategy to establish regulatory requirements and internal policies.

• Identifying new and emerging risks to data privacy and security and the right policies to prevent them.
  
  

• Exploring key data security challenges related to infrastructure, connectivity, manpower, and technology lag.

• Addressing data governance as a key to manage the security and privacy of data and citizen information.

• Identifying data security controls that can support the quality and accuracy of data
  insights.

• Implementing most efficient techniques of information privacy on regional data
  platforms to ensure trust among citizens and residents.
  
  

• Understanding the interplay of statistics and computation to measure the impact of missing data value.

• Discussing latest imputation methods and their implementation in different stages.

• Classifying data exploration and mining, and handling missing values by applying
  detection techniques to data sets.

• Exploring successful use of predictive analytics in optimizing information interpretation and data organization.

• Looking at the best practices in data security and privacy to understand the levels of violation and security failure.

• Understanding the common regulations in compliance for data security and privacy.

• Exploring tokenization to virtually eliminate the risk of data theft in both data security and privacy spectrums.

• Identifying different measures to ensure data security that will lead to sensitive information privacy.
  
  

• Driving innovations in enterprise data management to enable advanced analytics.

• Exploring the key dimensions of the hybrid environment to understand the hybrid data analytics process (internal and external data, operational data, self-service access and exploration, data lake, and cloud and on-premises etc.)

• Leveraging the power of hybrid data to overcome key challenges related to on-premise and cloud storage.

• Exploring data monetization strategies to drive process improvement and financial returns.

• Adopting augmented data management performance as the key function to boost
  productivity and efficiency.

• Exploring self-service tools to manage data assets effectively and efficiently without requiring specific technical expertise or training.

• Upgrading your visualization techniques to convert data into stories and convey the importance of the analyzed information.

• Adopting blockchain and distributed ledger technology to increase transaction
  security
  
  

• Connecting applications to reduce human effort and error, and improve data quality and value.

• Evolving towards cloud integration for a flexible and scalable infrastructure.

• Understanding the planning for metadata management to increase the value of
  granular data integration.

• Leveraging and combining more data types while analyzing datasets to generate useful insights for integration.
  
  

• Government Stakeholders

• Consultants

• Public Sector Specialist

• Solution Providers

• Data analytics solutions AI and ML solutions providers
• System Developers Cyber Security Solutions
• Data Protection and Data
• Privacy Solutions
• Data centers
• System Integrators