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In the era of digital transformation, artificial intelligence (AI) is revolutionizing how organizations operate, make decisions and deliver services. For AI to be effective, it requires high-quality, well-prepared data. CGI Federal leverages its extensive expertise in data management and AI to help federal agencies harness the power of AI.

Preparing data for AI is a complex and multifaceted process that requires expertise in data management, governance, and advanced analytics. CGI Federal’s comprehensive approach ensures that federal agencies can leverage high-quality, well-prepared data to drive impactful AI solutions. By integrating robust data collection, cleaning, annotation, governance, and continuous management practices, CGI helps agencies unlock the full potential of AI, enhancing decision-making, operational efficiency, and mission success.

 

Data Analytics

CGI Federal provides comprehensive data analytics solutions that transform raw data into actionable insights, enabling federal agencies to make informed decisions and optimize their operations. By leveraging advanced analytics techniques, including machine learning and artificial intelligence, CGI ensures that agencies can harness the full potential of their data to drive mission success and operational efficiencies.

Data Collection and Integration

The first step in preparing data for AI is collecting and integrating data from various sources. Federal agencies often have data stored in disparate systems, including legacy databases, cloud platforms, and third-party applications. CGI employs advanced data integration techniques to consolidate this data into a unified, accessible format.

Data Cleaning and Preprocessing

Raw data is often incomplete, inconsistent, and noisy, making it unsuitable for AI applications. Data cleaning and preprocessing are crucial steps to ensure data quality and reliability.

Data Annotation and Labeling

For supervised learning models, annotated and labeled data is essential. CGI employs various methods to label data accurately, ensuring that AI models can learn from high-quality examples.

 

 

 

Data Governance and Security

Data governance and security are paramount, especially for federal agencies handling sensitive information. CGI implements robust data governance frameworks to ensure data integrity, privacy, and compliance with regulatory requirements.

Data Augmentation and Synthesis

To enhance the diversity and volume of training data, CGI employs data augmentation and synthesis techniques. These methods generate new data samples, improving the robustness and generalization of AI models.

Data Validation and Quality Assurance

Before feeding data into AI models, it undergoes rigorous validation and quality assurance checks. CGI ensures that the data meets the required standards of accuracy, completeness, and consistency.

Continuous Data Management

AI models require continuous learning and adaptation to stay relevant. CGI implements ongoing data management practices to ensure that AI models are regularly updated with new data and insights.

 

Data is essential for every aspect of federal agency operations. Today, data flows in constantly from an ever-expanding range of sources, and agencies must store it, analyze it and turn it into actionable information. In this conversation with Pete Tseronis, CGI Federal experts Brad Schoffstall and Donna Seymour explain the proliferation of data and how agencies can most effectively make use of it.

 

Continuing their conversation with host Pete Tseronis, CGI Federal’s Brad Schoffstall and Donna Seymour talk about how to prepare for future problems. Brad and Donna share experiences and insights for federal agencies and other organizations as they modernize data and systems. Any modernization project has desired outcomes, but most also have unintended consequences—sometimes unexpected benefits, occasionally counterproductive. “Future-proofing” requires thinking ahead, anticipating potential developments and preparing to meet them.