Artificial Intelligence Archives - Page 5 of 11 - | ̽��Ƶ| ̽��Ƶ

Enabling Rapid Compliance with Sysfleet’s RPA Tools

Posted on by Sam Timothy

As technology evolves, Government agencies seek to modernize effectively, securely and efficiently. By utilizing Sysfleet’s RPA tools, agencies can reach compliance, automate workflows, embed data loss prevention and promote solution-based, application life-cycle models.

The Power of RPA

Robotic Process Automation (RPA) tools refer to automation software that performs repetitive, rule-based tasks. In Government agencies, increasing efficiency is a primary concern, as it enables agencies to deliver solutions in a timely fashion.

There are three main benefits to RPA tools. RPA tools:

Shorten the life cycle of requests
Eradicate human error by automating menial tasks
Improve security by detecting anomalies

Traditionally, Government struggles with high-risk projects; projects require an investment of time to gain approvals, and market monopolies result in high premiums. RPA enables Government to shorten the life cycle of projects, which reduces costs and expedites delivery time.

With the added capabilities of artificial intelligence (AI) and machine learning (ML), RPA tools can replace old-school application program interfaces (APIs) development, which can be draining and slow. Through hyper-automation, RPA enables users to carry out operations swiftly.

Meeting Government Needs with RPA

Before onboarding new technology like RPA tools, the Government expects certain inherited features, such as web content, accessibility controls, guidelines and FedRAMP certification. Sysfleet Consulting LLC, a technology solutions company that simplifies business processes, automates workflows and improves efficiency through system integration, is equipped to address the unique needs of Government agencies and enterprises.

Sysfleet helps Government agencies and enterprises gain compliance and audit readiness with its RPA solutions. Sysfleet’s RPA solutions have a unique focus on compliance automation. By transforming manual workflows into controlled, automated processes, Sysfleet embeds audit readiness and data security directly into agency workflow. Additionally, Sysfleet’s RPA tools can modernize with existing legacy systems without disrupting ongoing operations, cutting down on modernization costs. Sysfleet has delivered measurable results, enabling agencies to cut down on processing time by 30-70%, saving hundreds of labor hours quarterly.

Products to Enable Rapid Compliance

As an official Microsoft partner, Sysfleet utilizes applications such as , and to help customers automate repetitive tasks. Through the Power Platform’s ��Center of Excellence (CoE), a Microsoft product that enables data loss prevention, Sysfleet automatically captures data, enabling users to follow and trace data trails. Additionally, Power Platform maps to and�� , and can operate within existing Government cloud boundaries and other external systems.

Benefits of the RPA-Enabled Automation

Sysfleet improves operational performance through automation. Traditionally, State Government approvals take years, draining time and resources. With Sysfleet’s RPA tools, agencies can shorten internal approval time by 55%, gaining a return of investment within just six months. The tools automate safely and are easy to scale to existing applications. Additionally, Sysfleet’s RPA tool can expedite long manual processes that traditionally contain human errors due to their complexity.

̽��Ƶ and Sysfleet

Through strategic partnerships, Sysfleet ensures secure, scalable, future-ready solutions. Sysfleet has proven leadership in Government automation projects, delivering measurable results in mission-critical workflows. By partnering with ̽��Ƶ, Sysfleet is further empowered to support the Public Sector. ̽��Ƶ enables Sysfleet to reach Government customers nation-wide, to help agencies expedite the procurement process, scale and reach marketing and offer solution bundling.

agencies can accelerate modernization and embed security into every workflow.

̽��Ƶ. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, including Sysfleet, we deliver solutions for Geospatial, Cybersecurity, MultiCloud, DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the ̽��Ƶ Blog to learn more about the latest trends in Government technology markets and solutions, as well as ̽��Ƶ’s ecosystem of partner thought-leaders.

Embracing Human Intelligence into Digital Learning

Posted on by Erik Crawford

Artificial intelligence (AI) delivers scale and efficiency, but human intelligence adds empathy, creativity and critical thinking to create a balanced, impactful learning environment. Adding human interaction into digital learning offers advantages that AI alone cannot provide. First and foremost, humans are consuming the information, and humans learn in a variety of ways, so training is often not a one-size-fits-all endeavor. There is also contextual judgement and nuance that might be missed by AI. Training should include an emotional connection to help drive learner engagement. Finally, the social learning aspect of open-ended discussions, engaging in the hive mind, mentorship and creating an ecosystem of peers delivers a more human experience. Let’s look at how Adobe Captivate, Adobe Learning Manager and Adobe Connect can help you deliver training that embodies human-driven content with AI efficiency.

Course Creation – The Perfect Combination of AI and the Human Touch

Creating courses from scratch can be a daunting task, and scaling them as your need for more training grows can be even more overwhelming. What topics to cover, which training methods should be used and how to deliver the courses is only the tip of the iceberg. The latest version of Adobe Captivate incorporates AI to help you create tailored training through simplified workflows that include content presets, slide templates and text to speech generation. For added interactivity, Captivate includes the capability to add interactive videos, choose from a built-in multimedia asset library and dynamic widgets. Once the core content is created, the information can be massaged to create story driven training based on real world experiences that span from soft skills to software simulation and everywhere in-between. Lastly, information retention can be supported through graded or knowledge check-type assessments to create quizzes with varied criteria to provide a fully polished training course. In short, let AI automate the more tedious tasks and keep the human touch as a core to add relatability to the final deliverable.

When to Leverage AI for Training Scalability

When your organization is growing and the need for high-volume repetitive training arises, AI can allow you to scale by helping you manage data-driven improvements and efficiencies. Adobe Learning Manager is a learning management system that can help you automate course assignments, track learner progress and generate a multitude of reports to measure the effectiveness of your training program. AI can be used to help create logical learning paths to help team members navigate organizations that have hundreds or thousands of course offerings with blended content types, such as self-paced, virtual training, in person or submission-based. Through Adobe Learning Manager, individual courses can be grouped into learning paths spanning a longer period, covering related topics and increasing the learner’s expertise in associated skills levels. Such learning paths can be configured with automated enrollment triggered by specified events, such as a learner’s registration to the LMS, their onboarding, promotion, re-location, upskilling and more. ̽��Ƶ recently completed a case study* on Adobe Learning Manager that cited a 96% increase in growth over the last four years. It was a huge turning point in how training was delivered company-wide, and the number of courses and modules exploded to over 5600. Whether you are delivering on-demand, instructor-led or hybrid-style training, Adobe Learning Manager serves as a centralized hub where team members can complete compliance courses, engage in continuing education, develop new skills or renew their yearly certifications.

*Please click here if you would like to read more about how ̽��Ƶ leverages Adobe Learning Manager to deliver over 5600 learning modules, 952 courses and 35 learning paths.

Virtual Classrooms – Where AI and Human Interactivity Join Forces to Provide Deep Learning Experiences

The key to any great virtual classroom experience is interactivity. Get your audience to the keyboard and the screen and keep them there. Adobe Connect provides numerous ways to achieve this, including breakout rooms, webcams, quizzes, multiple simultaneous screenshares, whiteboarding and persistent virtual environments. Humans tend to learn better when they feel seen, and are engaged in the training, this is the human element at work. Turn on webcams to create empathy, break into smaller groups to promote the sharing of ideas, leverage creativity by drawing on the whiteboard and start building an environment that is enhanced by AI but not solely driven by it. Once the human element is operating in full force, you can engage the power of AI to offer live support during a training session or to create post-training blogs to keep the conversation going after the course has ended.

When you learn to combine the power of AI with the relatability of the human touch, your training programs will scale, engage, educate and drive results in ways that were unimaginable a few short years ago. The future of training will incorporate hyper-personalized learning paths that include bite-sized microlearning modules, adaptive assessments, immersive learning experiences and AI assistance throughout the entire process.

To learn more about digital learning and AI, watch the webinar series, “Embracing Human Intelligence into Digital Learning.” To take a deeper dive into Adobe’s eLearning products contact us to schedule a complimentary demo today!

̽��Ƶ. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, including Adobe we deliver solutions for Geospatial, Cybersecurity, MultiCloud, DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the ̽��Ƶ Blog to learn more about the latest trends in Government technology markets and solutions, as well as ̽��Ƶ’s ecosystem of partner thought-leaders.

The Role of AI Infrastructure in Government��

Posted on by Mike Adams

To maintain its place as a leader in AI advancements, and to comply with the latest White House guidance, Government agencies must harness AI capabilities, such as secure cloud computing platforms, high-performance data processing systems and scalable machine learning frameworks, for critical functions such as cybersecurity, predictive analytics and economic competitiveness. As with any new technology, AI requires updated infrastructure to power these advanced capabilities.

The Capabilities of AI Infrastructure

AI infrastructure refers to the hardware and software needed to create and deploy AI-powered applications and solutions. It enables both AI, the technology that simulates the way people think, and machine learning (ML), a focus area of AI that utilizes data and algorithms to imitate the way humans learn, increasing the accuracy of its results the more data you input. AI infrastructure enables users to create and deploy AI and ML apps, such as chatbots, facial and speech recognition and computer vision.

Building the infrastructure for AI requires data storage and processing, compute resources, ML frameworks and MLOps platforms to acquire the processing capabilities needed for AI, and also to train ML models.

AI Infrastructure Deep Dive

Below are the six pillars that define a strong AI foundation, each continuously evolving to keep pace with the next generation of AI capabilities.

Specialized Compute��
In 2025, AI solutions rely on more than GPUs, they use a mix of processors designed for different types of AI tasks. This makes it faster and more cost-effective to train, update and run today’s complex models. As AI systems are becoming more advanced, many models are becoming larger and require HPC solutions. On the other hand, smaller models can run on cloud-based architecture for lower compute needs.��

Data Preparation

The success of an AI solution can tie back to how well the data is prepared before it’s used. Modern AI infrastructure now includes built-in tools to clean, label and organize data at scale, sometimes using AI itself to automate the work. This ensures models are trained on accurate, relevant information, while also tagging and tracking data to meet security, compliance and transparency requirements.��

Data Storage��
Because today’s AI solutions are becoming more and more advanced, additional data is required to train the models. AI now depends on lightning-fast data storage that can easily grow alongside datasets. New tools also make it possible to keep sensitive data in specific locations or environments, meeting strict privacy and Government requirements without slowing down AI workflows.��

Networking
As AI models get bigger, the speed of moving information between systems is critical. New high-speed networks reduce delays so AI can process and deliver results in near real-time, even across large environments.

Software & Orchestration��
Managing AI today requires controlling the entire process from development to deployment. Modern platforms help teams easily update models, track their history and ensure they run efficiently whether in the cloud, on-premises, or in secure Government networks.��

Security & Governance��
AI infrastructure in 2025 is built with security at its core. It goes through rigorous testing to ensure it meets Government compliance standards and protects sensitive information. It is important to choose solutions from providers that continuously monitor their models, ensuring they’re safe, reliable and ready to be audited at any time.��

All these AI Infrastructure features will be utilized by Government agencies to enable AI solutions that improve workflows and maintain global competitiveness.

AI Infrastructure: A National Priority

names AI infrastructure, including data centers and compute clusters that are powered by clean energy, as a national priority to upholding U.S. leadership, national security and competition.

The order encourages Government agencies to secure supply chains, integrate clean energy and collaborate with the private sector. It also directs Federal agencies to make Federal lands and sites available for clean power generation and gigawatt-scale AI data centers

In alignment with the Executive Order, the Department of Energy (DOE) has released a to use its territories to build AI infrastructure datacenters, citing that they would enable AI training and inference, scientific research and other essential services.

Most recently, the AI Action Plan outlines recommended policy actions regarding building AI infrastructure such as data centers, semiconductor manufacturing facilities and energy infrastructure. The goal of the AI Action Plan is to streamline AI adoption and, in turn, speed up and scale the development of AI infrastructure on the federal level. National Security, AI incident response, cybersecurity and secure-by-design systems are highlighted as vital pillars of the AI Action Plan’s infrastructure guidance. By sharing specific steps to achieve safe and secure AI infrastructure, such as identifying available federal land, training our workforce, building data centers and keeping security at the backbone, the AI Action Plan outlines clear next steps that agencies need to take in order to push AI adoption forward.��

In an increasingly technology-driven landscape, AI infrastructure allows Government agencies to modernize their operations and deliver more efficient, responsive services. Strategic investment in AI infrastructure enables agencies to enhance decision-making processes, reduce operational costs, protect national security interest and fulfill their core mandate of serving citizens. Once this foundation is in place, agencies can begin to build and deploy solutions that directly support their missions. The next blog in our series will explore how this infrastructure enables Generative AI and its potential for transforming Government workflows.��

̽��Ƶ’s ecosystem of hardware and software vendors are equipped to connect agencies with the latest technology for AI, including the infrastructure needed to run it. To learn more about AI infrastructure solutions that are tailored for the Public Sector, visit ̽��Ƶ’s Page on AI Solutions.

Excellence at Scale: Transforming AI Infrastructure with F5 and MinIO’s Secure Data Delivery

Posted on by Ahmed Dessouki

Today’s enterprises face both a challenge and an opportunity to transform vast amounts of data from AI, autonomous systems and emerging workloads into meaningful business outcomes. Secure, optimized data delivery and high-performance object storage are essential to accelerate insights, optimize business performance and maintain a competitive edge.

The expanded F5 and MinIO partnership brings together MinIO AIStor’s high-performance, highly-scalable, S3-compatible object storage with the secure, intelligent traffic management of the . This joint solution delivers a comprehensive, secure and scalable foundation for AI workloads, enabling businesses to achieve optimized data management, strengthened security and flexible migration across cloud, on-premises and hybrid environments.

F5 and MinIO offer a joint solution designed to enhance performance, resilience and security for customers’ most demanding AI and enterprise workloads.

Understanding S3 and its importance for scalable data management

Simple Storage Service (S3) is the standard protocol for modern object storage, fully supported by AIStor and a key component of today’s data architectures. Unlike traditional storage, S3 stores data as discrete objects in logical containers called buckets, paired with metadata for efficient organization and retrieval, which is critical for AI workloads.

Operating over HTTP/S, S3 is ideal for scalability, distributed deployments and seamless cloud integration. It’s widely used in data lakes, archives, media repositories, static websites, backups and especially AI and machine learning pipelines, making S3-compatible storage a strategic business investment. Because S3 leverages HTTP/S as its transport protocol, businesses can directly benefit from F5’s deep expertise and apply its industry-leading Layer 4-7 capabilities to S3 storage traffic.

Optimizing storage traffic with F5 BIG-IP for MinIO AIStor

As organizations utilize real-time and large-scale data for AI and enterprise workloads, efficient traffic management is critical. Powered by F5 ADSP, F5 BIG-IP’s intelligent load balancing technologies (e.g., LTM and DNS) prevent storage bottlenecks by distributing queries and traffic evenly, reducing latency, eliminating hotspots and enabling consistent scalability.

BIG-IP also provides robust delivery and security for S3 storage traffic:

Protect against HTTP/S-based threats with an advanced web application firewall (WAF) to safeguard critical business data and minimize risks.
Defend against DDoS attacks to maximize availability and ensure continuous uptime.
Offload SSL/TLS encryption to optimize security without impacting MinIO performance.

Across cloud, on-premises or hybrid deployments, F5 and MinIO’s unified approach simplifies management, ensuring consistent performance and security.

Simplifying cloud-to-on-premises migration: The repatriation advantage

Businesses are increasingly moving workloads from public clouds back on-premises due to rising costs, compliance demands, data sovereignty and performance predictability. This cloud-to-on-prem repatriation often requires significant application refactoring and architectural changes.

F5 BIG-IP and MinIO AIStor simplify this transition: AIStor’s consistent S3-compatible API enables applications to migrate smoothly, while BIG-IP intelligently orchestrates incremental traffic shifts through DNS routing, allowing for phased, disruption-free migrations with minimal adjustments.

Extending strategic advantage across industries

From managing autonomous vehicle training data to powering healthcare analytics and financial compliance, the flexibility of the F5 and MinIO solution translates into a clear competitive advantage for organizations across industries.

For example, a major global automotive manufacturer is using the joint solution provided by F5 and MinIO to securely and reliably deliver and manage proprietary data from its vehicle fleets worldwide to . This enables continuous improvements to their AI models, providing significant business advantages. This powerful solution has enabled the manufacturer to save millions of dollars annually by repatriating the data from the public cloud. It has also reduced downtime, enhanced reliability, maximized ROI on AI infrastructure and ensured secure management of exascale data. These benefits have empowered the automotive manufacturer to boost innovation and maintain a strong competitive edge.

F5’s secure traffic management capabilities collect and route vehicle-generated data through F5-powered regional points of presence (PoPs), delivering it seamlessly into a centralized data lake powered by MinIO AIStor. MinIO’s high-performance object storage solution forms the essential foundation for training AI models. Once models are trained and validated, they are delivered securely back to vehicle systems, with every step of the cycle delivered and protected by F5 infrastructure.

A global automotive manufacturer is using the joint solution from F5 and MinIO to securely route AI data across its systems, ensuring rapid processing and uninterrupted availability.

This large-scale deployment illustrates the significant advantage organizations in other industries can gain when adopting the joint approach of F5 and MinIO. For example, healthcare providers use secure, high-performance storage to enhance predictive analytics and medical imaging, improving patient outcomes through rapid, reliable data access. Financial institutions leverage BIG-IP’s security and MinIO’s security and scalability for compliant storage of large amounts of sensitive data, enabling AI-driven fraud detection and risk management. And companies with edge computing deployments count on F5 and MinIO for secure, low-latency data processing and storage—critical for IoT and smart industry use cases.

In short, F5 and MinIO together bring exceptional security, scalability and straightforward repatriation capabilities to virtually any industry looking for transformative data management strategies.

F5 and MinIO provide resilient, secure and scalable Al data delivery for any industry.

Next steps: Unlocking strategic agility with F5 and MinIO

In today’s dynamic business environments, gaining a strategic advantage means confidently navigating the digital transformation landscape. Together, F5 and MinIO provide high-performance, resilient, secure object storage and intelligent traffic orchestration optimized for today’s most ambitious AI projects and mission-critical data workloads across many industries.

̽��Ƶ. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, including F5 we deliver solutions for Geospatial, Cybersecurity, MultiCloud, DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the ̽��Ƶ Blog to learn more about the latest trends in Government technology markets and solutions, as well as ̽��Ƶ’s ecosystem of partner thought-leaders.

This post originally appeared on , and is re-published with permission.

Transforming Federal AI Adoption: How �ҴǴǲ��’s OneGov Agreement Delivers Enterprise-Grade Intelligence

Posted on by Harjeet Khalsa

The OneGov strategy represents a fundamental shift in Federal procurement, moving from fragmented, agency-by-agency purchasing to a unified enterprise approach that leverages the Government’s collective buying power. �ҴǴǲ��’s new Gemini for Government agreement provides Federal agencies with access to cutting-edge artificial intelligence (AI) capabilities at an unprecedented $0.47 per agency price point. This strategic partnership builds upon Google’s previous Workspace agreement with GSA, establishing a procurement framework that treats the Federal government as a single unified customer.

Breaking Down Silos with Purpose-Built AI Infrastructure

Gemini for Government addresses one of the most persistent challenges in Federal operations: the need for sophisticated automation tools that can operate securely across diverse Government environments. The platform serves as a developer-focused suite specifically designed for Federal agencies, enabling the building, deployment and management of advanced automated AI agents that perform complex, multi-step workflows across an organization’s internal data. Unlike commercial solutions that require extensive customization for Government use, Gemini for Government comes purpose-built with integrated security features and compliance standards that meet Federal requirements from day one.

The platform’s comprehensive approach eliminates the traditional barriers that have prevented agencies from adopting enterprise-grade AI solutions. By providing both prepackaged AI agents and the capability to create custom solutions, agencies can immediately begin automating business processes while maintaining the flexibility to develop specialized applications as their needs evolve.

Democratizing AI Development Across Federal Agencies

One of the most significant advantages of the Gemini for Government offer lies in its accessibility to agencies with varying levels of technical resources. The solution incorporates no-code capabilities through products like , enabling Government users to leverage sophisticated AI tools without requiring extensive programming expertise. This democratization of AI development ensures that smaller agencies or those with limited technical staff can participate in digital transformation initiatives.

The platform includes Google’s best-of-breed commercial AI tools, including Agentspace and , all engineered specifically for Federal use. These tools provide agencies with immediate access to advanced AI capabilities while maintaining the security and compliance standards required for Government operations.

Security and Compliance Built into the Foundation

Federal agencies operate under stringent security requirements that often create barriers to adopting innovative technologies. Gemini for Government addresses these concerns through built-in security features, including identity and access management, threat detection, data privacy protections and advanced compliance standards such as SOC2 Type 2. Google Cloud’s extensive portfolio of FedRAMP High-authorized products provides the underlying infrastructure, ensuring that agencies can confidently deploy AI solutions without compromising their security posture.

This comprehensive security framework eliminates the lengthy and expensive process of retrofitting commercial solutions to meet Federal requirements. Instead of spending months or years on compliance validation, agencies can immediately begin leveraging AI capabilities while maintaining full compliance with Federal security standards.

Streamlined Procurement Through Strategic Partnerships

The GSA OneGov Gemini for Government promotional agreement demonstrates how strategic partnerships can dramatically simplify federal procurement processes. Available through ̽��Ƶ’s GSA MAS contract, the deal provides standardized pricing and terms that eliminate the need for individual agency negotiations. The $0.47 per agency pricing includes a standard provisioning of 1,000 users, with the ability to add additional users at no cost during the promotional period.

Google has also provided flexibility to match promotional discounts on other Government contract vehicles based on specific agency procurement requirements. This approach ensures that agencies can access the technology through their preferred contracting mechanisms while still benefiting from the OneGov pricing structure. The promotional agreement runs through September 30th, 2026, providing agencies with ample time to evaluate and implement the solution.

The Path Forward for Federal AI Transformation

The Gemini for Government OneGov agreement represents more than just a procurement vehicle—it is a blueprint for how Federal agencies can access and implement cutting-edge technologies while maintaining security, compliance and cost-effectiveness. As agencies continue to face increasing demands for efficiency and innovation, solutions like Gemini for Government provide the foundation for meeting these challenges while maintaining the highest standards of security and compliance.

Ready to leverage this agreement to access best-of-breed AI tools that can transform your agency’s operations? Contact our Google team at ̽��Ƶ today or call us at (888) 662-2724 to learn more and take advantage of this limited-time promotional offer.

̽��Ƶ. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, including Google we deliver solutions for Geospatial, Cybersecurity,��MultiCloud,��DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the��̽��Ƶ Blog��to learn more about the latest trends in Government technology markets and solutions, as well as ̽��Ƶ’s ecosystem of partner thought-leaders.

AI Excellence for Economic and Diplomatic Leadership��

Posted on by Mike Adams

In today’s technological landscape, breakthroughs in innovation, specifically AI, are essential to maintaining balance of power – sparking new industries and revolutionizing the workspace. Excellence in AI represents more than a policy goal; it is the basis for maintaining American leadership across economic, military and diplomatic spheres.

The White House recently released America’s AI Action Plan – the US’s new guide to ensure American excellence in AI. The Action Plan outlines a national strategy – prioritizing private-sector innovation, infrastructure expansion, and global AI leadership with over 90 Federal policies.

The plan rests on three foundational pillars:

Pillar I calls to accelerate AI innovation. The federal government is cutting unnecessary red tape and empowering agencies to prioritize mission-first, secure AI solutions for defense, law enforcement, border protection, and citizen services.

Pillar II is to prioritize building the infrastructure (data centers, semiconductor manufacturing, and energy) needed to power these AI solutions on a national level.

Pillar III focuses on ensuring that America is the global leader in international AI diplomacy and security – mitigating cybersecurity and national security risks caused by externally produced AI systems.

The AI Action Plan is the latest in a series of targeted memos, executive orders, resolutions, and policies aiming to support AI adoption across America. Understanding the AI Action Plan requires a review of the current State of AI in American politics.

Minimizing Roadblocks for Innovation

In alignment with the recent Action Plan, there has been a Government-wide push to overcome Federal hurdles and regulatory constraints to AI adoption. The recently passed is a major milestone – removing outdated legislative barriers while allocating funding for AI in defense and AI infrastructure at the The bill encourages centralized, Federal legislation, rather than having AI laws be passed state-by-state, enabling consistent, nation-wide progress��

In April, the Office of Management and Budget (OMB) directed agencies to prepare for widespread AI deployment by appointing AI officers and publishing practical AI adoption strategies. In OMB set forth a number of AI-related recommendations for agencies, such as removing barriers to innovation, accelerating AI adoption, and ensuring AI delivers real benefits to the American people. The companion memo, , encourages agencies to source American made AI solutions, simplifying procurement and increasing interoperability. When viewed as a whole, these Federal guidelines emphasize deregulation, support open-source models, and highlight leadership from the Private sector as the key to rapid AI advancement and adoption across industries.

Building AI Infrastructure at Scale

In addition to removing legislative roadblocks to AI adoption, recent Federal guidance lays the physical foundation for AI expansion. The requested information to support Federal development in AI infrastructure, receiving over 10,000 responses. Within the NSF, the are working to utilize Federal lands to construct data centers and power infrastructure. The combination of new data centers, a modernized electric grid, and specialized workforce training for AI will make AI more accessible to the government as well as the American citizens. In addition to the nation’s continued advancement in AI Infrastructure, the aims to launch an “AI procurement toolbox,” which would help agencies develop and test new technology, including Generative AI (GenAI) to improve Government operations.

The private sector remains dedicated to AI advancement. Recent initiatives underscore the market’s effort to scale AI. One such effort is , , Oracle and $500 billion initiative , which aims to expand U.S. AI capacity. Another is the $90 billion in pledges for data centers and power infrastructure at the Pennsylvania Energy and Innovation Summit.

AI leadership is simultaneously an economic imperative and national security necessity. As global competitors advance their own AI capabilities, America’s usage will determine its ability to maintain technological dominance in the broader, geopolitical competition.

̽��Ƶ and its partners are able to connect agencies with the latest compliant technology for AI. To learn more about AI solutions in accordance with Federal standards, visit ̽��Ƶ’s Page on AI Solutions.��

More Coverage, Less Overhead: Rethinking Road Inspection Costs with AI-Driven Insights

Posted on by Mark Pittman

Trying to make your maintenance dollars go further without cutting corners on insight, safety or service?

If so, you’re not alone. With budgets often stretched and infrastructure demands growing, many agencies are reexamining how to get the most value out of every maintenance dollar. That’s why many are rethinking expensive, labor-intensive field inspections and turning to smarter, more cost-effective alternatives.

AI-analyzed dashcam imagery from commercial and fleet vehicles gives teams near real-time, visual insights into road conditions without the typical overhead. By using what’s already on the road, agencies can cut spending while getting even better data on pavement conditions, signage, lane markings and hazards.

Smarter Inspections. Real Savings.

Manual inspections can cost anywhere from $100 to $200 per mile, depending on the method and crew required. When you factor in vehicle costs, staffing, scheduling and delays, those expenses scale fast, especially for agencies managing thousands of miles.

AI-powered visual intelligence can traditionally required for roadway condition assessment. That’s a considerable savings in time and money. In Hawaii, automated analysis of guardrails, striping and debris saved the state DOT over $900,000 by eliminating unnecessary field visits and allowing more strategic deployment of maintenance dollars.

With continuous AI-driven assessments, inspections shift from rigid schedules to condition-based decision-making. This allows agencies to focus their limited resources where the data shows they’re actually needed, maximizing impact while minimizing waste.

Lower Operational Strain, Lower Spend

Reducing fieldwork doesn’t just save time, it cuts expenses across the board. Fewer field deployments mean lower fuel costs, less vehicle wear and fewer overtime hours.

Instead of organizing additional field inspections, agencies can rely on regularly updated insights coming from existing vehicle networks. This reduces the need to expand teams or invest in specialized equipment to keep up with inspections. It also supports a safer inspection process by reducing risk exposure for field crews.

Better visibility leads to more accurate budgeting. Instead of flying blind—or relying on complaints—you can plan maintenance with precision, stretch your resources and avoid surprise repairs that blow up budgets.

Faster Recovery, Lower Emergency Costs

Storms, floods, and other disruptions can incur urgent, unexpected expenses. But quick, AI-enabled visual assessments can help reduce emergency costs.

Agencies can assess road damage without dispatching field teams immediately, saving time and protecting crews. Infrastructure inspections are evolving to include tools like Google Street View, providing a reliable “before” snapshot. Combined with dashcam imagery for the “after,” agencies can clearly analyze damage and document changes over time. That early insight supports faster funding requests and avoids the cost of blanket response measures that may not be necessary.

With centralized, visual data that’s easy to share, teams can streamline contractor coordination, skip redundant inspections and focus their limited funds where they’ll have the most impact.

Rewriting the Cost Equation

Road inspections don’t have to drain your budget. With AI-analyzed dashcam data, agencies are expanding visibility across their networks while significantly cutting costs.

The real value lies in shifting from reactive to efficient, insight-driven decision-making. From daily maintenance to emergency recovery, this model is helping public teams rethink how, and how much, they spend on inspections.

For any agency trying to do more with the same—or even less—budget, it’s time to rethink how inspections are conducted.

Watch the on-demand webinar to see how agencies are using AI-driven insights to reduce inspection costs while improving road safety.

From Noise to Impact: How Agencies Can Build Real AI Use Cases

Posted on by Kailey Silverberg

Insights from Federal data, legal and technology leaders on turning AI potential into mission-driven action

Everyone’s talking about AI. But in Government, where budgets are tight, oversight is strict and the stakes are high, talk isn’t enough. Agencies need AI use cases that solve real problems, not just generate headlines.

At a recent panel discussion in D.C. hosted by ZL Tech and ̽��Ƶ, experts from data, legal and tech roles shared their insights on how Federal agencies can move from experimentation to impact. Their message was clear: success with AI starts with governance, strategy and the right people at the table.

1. Want Real AI? Start at the Top

The biggest challenge agencies face? Starting small and remaining siloed.

“Start at the highest, most strategic level of the organization,” said Matthew Versaggi, a White House Presidential Innovation Fellow for AI. “Don’t begin in your own department, by then it’s too narrow. Instead, ask: what’s the most impactful agency-wide use case we can build toward?”

The panelists emphasized that departmental pain points might improve workflows, but agency-wide pain points tied to the mission are where AI can truly move the needle.

“Without a structured process, you’re just chasing your tail,” added Kon Leong, CEO of ZL Tech. “Start small, but make sure your experiment is scalable and aligned to long-term strategy.”

2. Governance Isn’t a Roadblock. It’s the Roadmap.

AI can’t succeed without trust in the data. And trust depends on governance.

“Governance is accountability,” said Leong. “It’s what separates scalable, sustainable innovation from science experiments.”

Jason Baron, a professor and former senior Government attorney, described governance as a mesh, not a silo: “True governance links your CISO, CIO, records officers, FOIA leads, legal teams—all under shared policy and ownership. We used to work in silos. That has to end.”

And as Matthew pointed out, AI governance isn’t a blocker, it’s an enabler: “AI governance becomes the mechanism for sustaining innovation. If we’re going to compete globally, we have to embrace it.”

3. Talk to Your CDO—Yes, You Have One

One of the most actionable takeaways: if you’re not already talking to your Chief Data Officer, you’re behind.

“Every agency has a CDO,” said Jason. “Go find them. Hopefully you like them. Have a conversation.”

CDOs are uniquely positioned to bridge mission needs with data access and policy. As one attendee noted during the session, “Awareness is the first step. Records and governance leaders are finally getting a seat at the table.”

It’s no longer enough for legal, records and privacy teams to operate in isolation. Building AI responsibly requires alignment—and that starts with the CDO.

4. Unstructured Data Is the Game-Changer

Structured data, like spreadsheets and databases, has been the traditional foundation for reporting and analytics. But that’s not where the majority of Government data lives.

“Unstructured data is radioactive,” said Leong. “That’s where every crisis lives. And now, it’s center stage in AI.”

Unstructured data includes everything from emails and PDFs to file shares, chat logs and documents. It makes up more than 80% of enterprise data, yet many agencies lack visibility or control over it.

Jason gave a real-world Federal perspective: “As a records guy, I’d take out my watch and wait to see how long it took vendors to say ‘FOIA’ or ‘FedRAMP.’ If they don’t understand the challenges around Federal unstructured data, they’re not serious.”

5. Use the Impact vs. Effort Matrix to Prioritize Wisely

With hundreds of possible AI use cases, how can agencies filter out distractions and find the ones worth pursuing?

Panelists recommended the Impact vs. Effort Matrix—a simple yet powerful tool to map use cases by how much effort they require and how much impact they’ll deliver.

What Is the Impact vs. Effort Matrix?

This tool helps agencies focus on what’s worth doing, especially when time, talent and resources are limited. Each AI idea gets placed into one of four categories:

Quick Wins (High Impact, Low Effort): Prioritize these immediately.
Major Projects (High Impact, High Effort): Worth the investment—plan carefully.
Fill-Ins (Low Impact, Low Effort): Do when time permits.
Thankless Tasks (Low Impact, High Effort): Avoid or minimize these.

“We see hundreds of AI ideas across agencies,” one panelist said. “But when you apply the matrix, only a handful have real traction. The juice has to be worth the squeeze.”

The matrix helps filter noise and ensure teams are spending time on the projects most likely to scale, succeed and support the mission.

6. Build with Scale in Mind, Even If You Start Small

AI is experimental. Not every idea will pan out. But successful projects need a path to grow from day one.

“Do a small test with an enterprise mindset,” said Matthew. “Security, governance and scale should be built in from the start.”

Leong agreed: “Get your data ducks in a row, and everything else will follow. You don’t want to make long-term bets on projects that were never designed to scale.”

7. Custom or Off-the-Shelf? Choose Based on Complexity

Should agencies build custom platforms or adapt off-the-shelf tools? It depends.

“Don’t overpay for generic tools,” said Matthew. “But for deep, high-end capabilities, you may need in-house builds—just know the tradeoffs.”

The more specialized the use case, the more likely a tailored solution is required. But whether buying or building, the panel emphasized the importance of involving records officers, legal teams and SMEs �𲹰��—not just the CIO chasing the next shiny object.

Final Thought: The Data Is There. The Champions Are Too.

The core message of the session? Agencies already have the data—and they have the people who care about getting it right.

What’s missing is coordination, prioritization and a strong governance foundation.

Start with strategy. Talk to your CDO. Use the matrix. Build with intent.

̽��Ƶ. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, including ZL Tech, we deliver solutions for Geospatial, Cybersecurity,��MultiCloud,��DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the��̽��Ƶ Blog��to learn more about the latest trends in Government technology markets and solutions, as well as ̽��Ƶ’s ecosystem of partner thought-leaders.

How AI-Powered Compliance Solutions Are Transforming Regulatory Management for Government Agencies

Posted on by Corey Carpenter

Government agencies manage between 12,000 and 40,000 regulatory obligations, with approximately 200 to 250 new regulatory alerts issued globally every day across the financial services sector alone. This escalating complexity is driving agencies to rethink their approach to compliance management, moving away from manual, reactive processes toward intelligent, proactive solutions.

The Overwhelming Scale of Modern Regulatory Compliance

Traditional compliance methods cannot keep up with today’s regulatory demands. In the U.S., the Securities and Exchange Commission (SEC) and the Financial Industry Regulatory Authority (FINRA) account for over 5,000 of those obligations. In the future, 74% of organizations anticipate even more regulatory activity, highlighting the rise and complexity of compliance requirements.

The challenge extends beyond just volume to the speed at which regulations evolve and their divergence across jurisdictions. Traditional methods—spreadsheets, siloed systems and manual tracking—leave agencies vulnerable to gaps and inconsistencies that can result in significant penalties and reputational damage.

For Government agencies, the stakes are even higher. They must demonstrate complete adherence to regulatory standards while maintaining public trust through transparency and accountability. This creates additional pressure on compliance teams to meet regulatory requirements in a way that can withstand public scrutiny and audits.

The Hidden Costs of Manual Compliance Operations

Manual compliance processes are costly and inefficient. A 10-person compliance team loses approximately $500,000 annually to manual tasks like monitoring, tagging, mapping and documentation—excluding the costs of fines and remediation. That time could instead be spent on strategic analysis and risk prevention.

A high employee turnover rate of 23% further inflates costs, as onboarding new analysts takes months. By the time they are fully trained, they are often ready to move on from routine tasks, creating a cycle of constant training, development and replacement.

Manual processes also introduce risks such as compliance gaps, failed audits and regulatory penalties. Organizations using manual processes experience 3.2 times more violations than those with automation. These inefficiencies contribute to the expectation that compliance costs will rise 6-9% annually through 2030, making automation a financial necessity.

AI as a Force Multiplier for Compliance Teams

Archer, AI-Powered Compliance Solutions Are Transforming Regulatory Management, blog, embedded image, 2025

Artificial intelligence (AI) serves as a force multiplier that can put the expertise of a 15- or 20-year analyst into the hands of an amateur. By delivering institutional knowledge and step-by-step guidance through complex processes, AI significantly reduces onboarding time for new team members.

Its impact is both immediate and measurable. AI-powered horizon scanning reduces the time analysts spend reviewing regulatory updates from hours to minutes, filtering out up to 95% of irrelevant alerts so teams can focus on the 5% that truly matter. Natural language further enhances efficiency by breaking down complex regulatory text into digestible summaries, helping teams quickly understand and act on new requirements.

Most notably, AI automates obligation extraction from dense regulatory text—a process that manually takes 5.3 hours per obligation and has a 14.6% error rate. AI identifies obligation statements, provides rationale and tags content for routing to the appropriate business units. In doing so, AI not only streamlines workflows but also ensures greater quality and accuracy over time through expert-in-the-loop validation.

End-to-End Lifecycle Management for Regulatory Changes

Modern compliance requires a holistic approach, from identifying regulatory updates to operational implementation and audit readiness. The true value comes from operationalizing these insights into frameworks, policies, controls and measurable testing programs. Yet only 38% of organizations successfully map regulatory changes through to updated controls and audit trails.

Lifecycle management starts with comprehensive horizon scanning and extends through policy governance, control alignment and continuous monitoring. When updates—such as tighter insider trading language—triggers changes, AI flags policy conflicts, creates change requests and ties them directly to relevant citations. This creates a clear audit trail, ensuring that modifications are documented, defensible and properly embedded back into the compliance framework.

AI also strengthens control management by flagging gaps between obligations and controls, identifying conflicts with evolving regulations and static policies—such as a privacy policy’s opt-in age that conflicts with new jurisdictional requirements—and recommending changes before violations occur. This creates a responsive system where regulatory changes automatically drive updates across policies, controls and audits.

Proactive Risk Management Through Intelligent Automation

Shifting from reactive to proactive compliance enables smarter risk management. Intelligent automation identifies potential issues before they become violations and informs decisions about expanding products and services or entering new markets. Instead of months-long manual assessments, agencies can use AI to instantly identify control gaps and readiness. This can speed up service expansion or help agencies determine not to proceed.

Automated insights also enhance leadership decision-making. By combining real-time monitoring with impact analysis, agencies can prepare for regulatory changes instead of responding after implementation deadlines. These capabilities yield real results: organizations leveraging AI-driven compliance systems report a 79% reduction in audit cycle times—from 42 days to nine—and 90% fewer evidence requests from business units.

The future of Government compliance lies in embracing intelligent automation that enhances human expertise rather than replacing it. By implementing AI-powered solutions that can manage the velocity and complexity of modern regulatory requirements, agencies can transform their compliance programs from reactive cost centers into proactive strategic assets.

To learn more about how AI-powered compliance solutions can transform your agency’s regulatory management approach, watch the full webinar “Archer Evolv Compliance” and view the solution brief for a deeper dive into the platform’s capabilities.

* All statistics referenced in this blog are sourced directly from the webinar on which this content is based.

̽��Ƶ. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, including Archer, we deliver solutions for Geospatial, Cybersecurity,��MultiCloud,��DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the ̽��Ƶ Blog to learn more about the latest trends in Government technology markets and solutions, as well as ̽��Ƶ’s ecosystem of partner thought-leaders.

Meeting the AI Mandates with Confidence: Why Federal Teams Trust Snyk

Posted on by Phoebe Nerdahl

Federal agencies are moving fast to unlock the potential of AI—from improving citizen services to driving mission outcomes. But with all that innovation comes a new wave of complexity and risk. Security, trust, and transparency can’t be afterthoughts. They need to be part of the build process from day one. That’s where Snyk for Government comes in—now FedRAMP authorized, we’ve taken it even further with the launch of the Snyk AI Trust Platform May 2025.

AI isn’t magic. It’s built on code, containers, infrastructure templates, and APIs—and increasingly, it’s generating code on its own, generating 40% more vulnerabilities than human developers. Agencies need to track, fix, and manage continuously. With Snyk, you can shift left and Secure-by-Design:

Spot and fix risks �𲹰��—automatically and at scale
Keep developers moving fast while staying compliant
Build AI systems that are secure from the ground up

Meet the Snyk AI Trust Platform

Launched in May 2025, the Snyk AI Trust Platform is the first of its kind: an AI-native, agentic security platform designed for how modern teams build today. It gives agencies the tools to move quickly without compromising trust.

This isn’t just DevSecOps—it’s security built for the era of AI-driven, autonomous software development.

How Snyk is supporting new federal AI mandates

Trusted, Transparent AI Development

As agencies embrace AI, expectations around objectivity and transparency are front and center. Snyk helps teams meet those expectations with tools that focus on real technical risks—not subjective filters.

Credible vulnerability intelligence: Sourced from standards-based orgs like CVE, CWE, and NIST
Customizable policy enforcement: Agencies stay in full control with Snyk Guard’s real-time, no-bias policy engine
Integrated into your pipeline: From GitHub to Terraform to container registries—Snyk fits your workflow, not the other way around

Scaling Secure AI Infrastructure

New funding and fast-tracked initiatives mean federal developers need security tools that keep up.

FedRAMP authorized: Snyk is cleared for use across federal cloud environments
Automation where it counts: Agentic tools like Snyk Assist and Snyk Agent surface issues and fix them before they ship

Building Export-Ready, Trusted AI Systems

As global collaboration increases, secure supply chains are more important than ever. Snyk helps you ship software that’s secure, auditable, and globally trusted.

Standards-aligned: Support for SBOMs, AIBOMS, international compliance, and NIST-aligned policies
Agentic AI security: Governance that scales to GenAI assistants and LLMs—wherever and however they run
Broad ecosystem support: Integrates with the open tools your dev teams already use

Whether you’re modernizing legacy systems, launching new GenAI services, or strengthening cross-agency pipelines, Snyk helps federal teams move fast, stay secure, and build trust into every line of code.

? Ready for a tailored AI readiness assessment?
Let’s talk: federal@snyk.io

̽��Ƶ. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, including Snyk, we deliver solutions for Geospatial, Cybersecurity, MultiCloud, DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the ̽��Ƶ Blog to learn more about the latest trends in Government technology markets and solutions, as well as ̽��Ƶ’s ecosystem of partner thought-leaders.