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The Progress Team
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Organizations across sectors are racing to integrate Artificial Intelligence (AI) into their business workflows. While the private sector is making significant strides in AI adoption, the federal government faces unique challenges in implementing these advanced technologies. The landscape of AI in government is rapidly evolving, with agencies seeking innovative solutions to complex challenges. This blog post explores the current state of AI adoption in federal agencies, the obstacles they face and how Progress Federal Solutions is paving the way for seamless AI enablement in government operations.
The adoption of AI technologies in the federal government has been a journey marked by both promise and hurdles. While private sector companies sprint ahead, leveraging AI to gain competitive edges and boost productivity, federal agencies often find themselves navigating a more complex terrain. Recent Federal AI policy changes are reshaping how government agencies approach AI implementation and governance.
In March 2024, the Office of Management and Budget (OMB) issued memorandum M-24-10, establishing a comprehensive framework for AI governance and risk management in federal agencies. This policy shift underscores the government’s commitment to responsible AI development, with a focus on safety, security and fairness. However, when it comes to implementing these policies, the unique nature of government operations introduces significant challenges.
Addressing the unique challenges of AI in government requires a tailored approach that considers security, scalability and interoperability. The federal government’s journey towards
AI adoption is hindered by several factors:
Recently, Secretary of Defense Pete Hegseth released an edict reinforcing the Software Acquisition Pathway, aiming to streamline software acquisitions and accelerate AI adoption. This directive marks a pivotal shift in the Department of Defense’s strategy, mandating the use of the Software Acquisition Pathway for all software development components and setting ambitious timelines for new capability deployments.
By addressing key barriers to AI adoption in the federal government, Progress Data Platform enables agencies to harness the full potential of AI technologies.
Most AI vendors approach government engagements with a one-size-fits-all mentality, attempting to extract and transform all required data into their preferred schema or format. While this approach might work for highly structured data, it falls short when dealing with the complex, unstructured data types (e.g., sensor data, emails, text documents) that often support critical government programs. Such methods typically require extensive upfront data engineering and often yield suboptimal results.
Progress Federal Solutions takes a fundamentally different approach to AI enablement in government. Our goal is not to be another AI company but to empower federal agencies to leverage AI capabilities within their existing data ecosystems. The Progress Data Platform—consisting of MarkLogic , Semaphore, FastTrack and Flux—offers a unique solution to the challenges faced by federal agencies in AI adoption.
Here’s how the Progress Data Platform components work together to enable AI in federal agencies:
The synergy of these components allows for a unique approach to AI enablement:
To illustrate the effectiveness of the Progress Data Platform, consider a hypothetical scenario involving a large federal agency tasked with improving its decision-making processes with AI.
The agency had vast amounts of data spread across multiple departments, stored in various formats ranging from structured databases to unstructured document repositories. Previous attempts to implement AI solutions had faltered due to the complexity of data integration and security concerns.
By implementing the Progress Data Platform, the agency was able to:
The result was a significant acceleration in AI adoption, improved decision-making capabilities and enhanced data utilization across the agency—all while maintaining compliance with federal security standards.
Accelerating AI adoption in federal agencies requires solutions that can work with existing infrastructure while enabling advanced capabilities. The Progress Data Platform offers a revolutionary approach to AI enablement in government, addressing the unique challenges federal agencies face. By allowing data to remain in its original format, maintaining robust security controls, and enabling sophisticated AI capabilities, we provide a pathway for federal agencies to harness the power of AI without the traditional barriers to adoption.
As the federal government continues to prioritize AI adoption and innovation, solutions like the Progress Data Platform will play a crucial role in bridging the gap between policy ambitions and practical implementation. By overcoming the barriers to AI adoption in the federal government, we’re not just implementing technology—we’re enabling a new era of efficient, data-driven governance.
For federal agencies looking to accelerate their AI initiatives while maintaining data integrity and security, Progress Federal Solutions offers a proven path forward. To learn how we can enable AI capabilities tailored to your agency’s unique needs and challenges, fill out the contact us form on our Federal Solutions page.
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The AI Adoption Landscape in Federal Government
The adoption of AI technologies in the federal government has been a journey marked by both promise and hurdles. While private sector companies sprint ahead, leveraging AI to gain competitive edges and boost productivity, federal agencies often find themselves navigating a more complex terrain. Recent Federal AI policy changes are reshaping how government agencies approach AI implementation and governance.
In March 2024, the Office of Management and Budget (OMB) issued memorandum M-24-10, establishing a comprehensive framework for AI governance and risk management in federal agencies. This policy shift underscores the government’s commitment to responsible AI development, with a focus on safety, security and fairness. However, when it comes to implementing these policies, the unique nature of government operations introduces significant challenges.
Key Challenges of AI in Government Agencies
Addressing the unique challenges of AI in government requires a tailored approach that considers security, scalability and interoperability. The federal government’s journey towards
AI adoption is hindered by several factors:
- Legacy Systems: Many federal agencies rely on decades-old mainframes and software, limiting their ability to adapt to modern AI technologies.
- Data Silos: Government data is often fragmented across departments, stored in incompatible formats and subject to strict security regulations.
- Acquisition Processes: The traditional software acquisition pathways can be slow and cumbersome, ill-suited for the rapid pace of AI innovation.
- Security and Compliance: Stringent cybersecurity requirements and complex compliance needs often extend implementation timelines.
- Workforce Skills Gap: There’s a significant shortage of personnel with the technical expertise required to implement and manage AI systems effectively.
Recently, Secretary of Defense Pete Hegseth released an edict reinforcing the Software Acquisition Pathway, aiming to streamline software acquisitions and accelerate AI adoption. This directive marks a pivotal shift in the Department of Defense’s strategy, mandating the use of the Software Acquisition Pathway for all software development components and setting ambitious timelines for new capability deployments.
Innovative Federal AI Solutions for Streamlined Adoption
By addressing key barriers to AI adoption in the federal government, Progress Data Platform enables agencies to harness the full potential of AI technologies.
Most AI vendors approach government engagements with a one-size-fits-all mentality, attempting to extract and transform all required data into their preferred schema or format. While this approach might work for highly structured data, it falls short when dealing with the complex, unstructured data types (e.g., sensor data, emails, text documents) that often support critical government programs. Such methods typically require extensive upfront data engineering and often yield suboptimal results.
Accelerating AI Adoption in Federal Agencies with Progress Data Platform
Progress Federal Solutions takes a fundamentally different approach to AI enablement in government. Our goal is not to be another AI company but to empower federal agencies to leverage AI capabilities within their existing data ecosystems. The Progress Data Platform—consisting of MarkLogic , Semaphore, FastTrack and Flux—offers a unique solution to the challenges faced by federal agencies in AI adoption.
Here’s how the Progress Data Platform components work together to enable AI in federal agencies:
- Progress MarkLogic: This powerful database is designed to handle unstructured data, allowing agencies to work with complex data types without extensive transformation. It provides a flexible foundation for AI applications, accommodating the diverse data formats common in government systems.
- Progress Semaphore: At the heart of our solution, Semaphore creates a centralized metadata catalog. This catalog is crucial for organizing and making sense of data across different silos, enabling efficient cross-silo searches and analysis.
- Progress MarkLogic FastTrack: This component streamlines the AI implementation process, addressing the slow adoption rates typical in government agencies. It provides a rapid deployment framework that aligns with the new Software Acquisition Pathway guidelines.
- Progress MarkLogic Flux: Moving data is paramount, and MarkLogic uses an extensible application called Flux . Flux supports importing, exporting, copying and reprocessing data via a simple command-line interface. Flux can also be easily embedded in your own application to support any flow of data to and from the MarkLogic platform.
The synergy of these components allows for a unique approach to AI enablement:
- Data Integrity: Unlike traditional methods, our platform allows data to remain in its original format and location. This approach significantly reduces the need for extensive data engineering and transformation.
- Security Compliance: By maintaining existing security controls, we enable your AI implementation to align with federal cybersecurity standards.
- Cross-Silo Intelligence: The centralized metadata catalog enables vectorization and storage of vector embeddings, facilitating cross-silo LLM vector searches. This capability allows agencies to derive insights from disparate data sources without compromising data integrity or security.
- Flexible AI Integration: Our platform supports integration with your LLM of choice, providing agencies with the flexibility to use or switch between different AI models as needed.
AI Enablement in Action
To illustrate the effectiveness of the Progress Data Platform, consider a hypothetical scenario involving a large federal agency tasked with improving its decision-making processes with AI.
The agency had vast amounts of data spread across multiple departments, stored in various formats ranging from structured databases to unstructured document repositories. Previous attempts to implement AI solutions had faltered due to the complexity of data integration and security concerns.
By implementing the Progress Data Platform, the agency was able to:
Leave data in its original locations and formats, eliminating the need for costly and time-consuming data migration.
Create a unified metadata catalog using the Semaphore and MarkLogic platforms, enabling comprehensive cross-silo searches.
Maintain stringent security protocols while allowing for AI-powered analysis across previously isolated data sets.
Rapidly deploy AI capabilities using FastTrack, aligning with the new Software Acquisition Pathway guidelines.
The result was a significant acceleration in AI adoption, improved decision-making capabilities and enhanced data utilization across the agency—all while maintaining compliance with federal security standards.
Conclusion: Empowering Federal AI Initiatives
Accelerating AI adoption in federal agencies requires solutions that can work with existing infrastructure while enabling advanced capabilities. The Progress Data Platform offers a revolutionary approach to AI enablement in government, addressing the unique challenges federal agencies face. By allowing data to remain in its original format, maintaining robust security controls, and enabling sophisticated AI capabilities, we provide a pathway for federal agencies to harness the power of AI without the traditional barriers to adoption.
As the federal government continues to prioritize AI adoption and innovation, solutions like the Progress Data Platform will play a crucial role in bridging the gap between policy ambitions and practical implementation. By overcoming the barriers to AI adoption in the federal government, we’re not just implementing technology—we’re enabling a new era of efficient, data-driven governance.
For federal agencies looking to accelerate their AI initiatives while maintaining data integrity and security, Progress Federal Solutions offers a proven path forward. To learn how we can enable AI capabilities tailored to your agency’s unique needs and challenges, fill out the contact us form on our Federal Solutions page.
Continue reading...