Tag Archives: Artificial Intelligence

Building Sustainable Automation: How Government Agencies Can Scale IT Operations for the AI Era

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Despite investing in numerous automation tools, Government agencies still struggle to achieve true operational efficiency. The issue is not a lack of technology, but the need to better align organizational processes with automation strategies. Agencies often find that automation scattered across teams does not equate to automation at scale.

For State and Local Government agencies navigating budget constraints, workforce transitions and mounting pressure to adopt artificial intelligence (AI), understanding how to make automation sustainable is now mission critical.

Understanding the Foundation

The most effective automation transformations begin not with technology selection but with process evaluation. Agencies that achieve lasting results recognize that automation amplifies existing workflows, accelerating efficient processes while exposing areas in need of standardization. The key lies in establishing organizational readiness before scaling solutions.

Experience shows that technical excellence alone does not guarantee adoption. Many organizations implement advanced automation tools only to see them underutilized because processes were not standardized first. This pattern repeats across ticketing, project management and AI initiatives when solutions are deployed before process design. Sustainable change requires equal focus on culture, workflow and collaboration.

The distinction between organizational and technical capability becomes clear during initiatives like enterprise-wide patching. While patching might appear technically simple, it requires coordination across teams, standardized processes and consistent execution. When approached strategically, patching strengthens structures and communication across departments.

Moving Beyond Linear Scaling

Traditional methods for managing IT complexity have centered on workforce expansion, but modern infrastructure requires new thinking. As organizations add personnel to manage new systems, coordination overhead grows, reducing visibility and collaboration, which then drives additional staffing needs. This challenge extends beyond budgets. Larger teams face higher coordination demands, and IT professionals often overlook their time as an organizational resource until capacity constraints emerge. The question is not just about staffing; it is about designing systems that scale efficiently.

For Government agencies, this issue is especially pressing. Retirements and limited hiring flexibility leave positions unfilled, putting institutional knowledge at risk and resulting in expanding workloads for current employees. In this environment, automation becomes a strategic enabler for maintaining service levels and mission delivery. Manual processes scale linearly, while infrastructure complexity grows exponentially. Centralized automation helps break this cycle by handling routine operations, freeing staff to focus on work that demands human expertise.

Creating Connected Workflows

Sustainable automation strategies move beyond isolated, team-specific implementations toward centralized platforms that enable consistent workflows across the organization. Many agencies have distributed automation capabilities, where infrastructure teams automate provisioning, security teams automate compliance validation and network teams automate configuration, but these workflows often lack seamless integration.

Red Hat, Building Sustainable Automation blog, embedded image, 2025

A single application deployment spans multiple domains, such as provisioning, networking, security scanning, compliance validation and monitoring. When automation operates independently, staff must still coordinate manual handoffs between automated steps. According to Conway’s Law, organizations design systems that reflect their communication structures; fragmented communication results in fragmented architecture.

Centralized platforms address this by establishing shared, standardized automation for common tasks. Instead of multiple teams maintaining separate scripts, one validated and documented process can serve all. This approach enhances auditability, improves consistency, enables scalable growth and eliminates redundant development. Updates to shared workflows require modifying a single authoritative source rather than tracking changes across multiple implementations.

Importantly, centralization is as much about culture and process as technology. Success depends on clear communication of the value of standardization, demonstrating tangible benefits and building trust that centralized approaches will serve all teams effectively. When alignment is achieved, automation platforms reach their full potential, transforming disconnected efforts into unified, scalable operations.

Building the Foundation for Advanced Technologies

The growing interest in AI has created momentum for agencies to explore new solutions, but success requires careful groundwork. Agencies realize the greatest benefits from AI when they first established stable, standardized automation foundations. MIT research shows that 95% of enterprise AI solutions encounter challenges not because of model quality but due to integration difficulties and organizational readiness. Effective AI deployment depends on how well technology integrates within existing workflows.

Many agencies have expanded infrastructure incrementally, developing complex architectures held together by manual processes and specialized expertise. Deploying AI on such foundations is difficult. AI cannot effectively optimize systems when the underlying processes lack consistent automation. In practice, agencies deploying AI to optimize Customer Relationship Management (CRM) operations or automate incident response achieve better results when data and workflows are standardized. This consistency enables organizations to act confidently on AI-driven insights.

Building AI readiness involves working backward from AI’s requirements: integrated systems that share data reliably, standardized processes that AI can learn from and consistent execution that produces trustworthy patterns. Agencies that mature their automation capabilities create the foundation AI needs to succeed, significantly improving the likelihood of achieving meaningful results from AI investments.

Partnering for Success

Achieving sustainable automation is a progressive journey best supported by experienced partners. Leading strategies emphasize a “crawl, walk, run” approach:

  1. Start with a manageable scope
  2. Expand systematically
  3. Build organizational capability over time

This measured progression ensures transformation occurs sustainably for the teams implementing and maintaining these systems.

Many agencies are undertaking comprehensive automation for the first time, making guidance from experienced organizations like Red Hat particularly valuable. Effective partnerships emphasize knowledge transfer over dependency, helping agencies build autonomous, capable teams rather than relying on long-term external support.

The results of this approach are measurable. Red Hat customers have achieved 50% faster networking provisioning, 65% reductions in certain provisioning activities and 67% improvements in other operational areas, freeing staff for innovation and strategic initiatives. These gains also reduce unplanned downtime and improve the overall quality of life for IT teams.

This journey addresses multiple organizational objectives simultaneously. Leadership achieves cost optimization and stronger security, while practitioners gain time, efficiency and better work-life balance. Sustainable automation delivers across these dimensions because the same standardization that drives efficiency also enhances security and empowers staff to focus on meaningful challenges.

Government agencies have reached a pivotal moment where growing infrastructure complexity demands a more evolved approach to IT operations. The path forward lies in fundamentally integrating automation into organizational processes and culture. By prioritizing standardization, embracing centralization and partnering for sustainable transformation, agencies can develop scalable automation strategies that prepare the organizations to leverage emerging technologies like AI.To discover proven strategies for building sustainable automation foundations that prepare your agency for advanced technology adoption, watch Red Hat’s webinar, “The Backbone of Modern Government: Sustainable Automation at Scale.”

探花视频. 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鈥痜or our vendor partners, including Red Hat, we deliver鈥solutions鈥痜or 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 探花视频 Blog to learn more about the latest trends in Government technology markets and solutions, as well as 探花视频鈥檚 ecosystem of partner thought-leaders.

Billington CyberSecurity Summit: AI Takes Center Stage

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Premier U.S. Government cyber conference previews AI on offense, on defense and as a target

  • While adversaries can boost the quality and volume of attacks with artificial intelligence (AI), defenders will apply AI to counter attacks with predictive and proactive defenses.
  • The advent of Agentic AIs will accelerate this trend and provide more avenues for attack, but defenders will always have the advantage by being able to train AIs with proprietary information and use them to identify vulnerabilities before attackers do.
  • The transition to post-quantum cryptography will be an industry-wide heavy lift, with extensive rewriting of code to meet post-quantum standards.

Recently, I had the opportunity to share some of my experience and insights at the in Washington, D.C. Moderated by Chris Townsend, Global Vice President of Public Sector at Elastic, our , 鈥淭he Future of Cyber Threat: Anticipating Threat Actors鈥 Next Steps,鈥 explored how threat actors are evolving and what organizations can do now to prepare. Not surprisingly, AI was a hot topic. We also discussed quantum computing, emerging threats and the cybersecurity staffing shortage.

How Attackers Will Leverage AI

Attackers are already using AI to power their attacks, but it is important not to over-sensationalize the impact that AI is having because the proportion of AI-driven attacks is still quite small relative to the overall amount of malicious activity we are seeing. However, we expect that proportion to grow quickly.

One of the main ways attackers are using it now is to create phishing materials, because it addresses what is a weak point for many threat actors, who often are not native English speakers. Attacks that are technically sophisticated can fail because they begin with a spear phishing email whose spelling or grammar is wrong. Large Language Models (LLMs) solve that problem brilliantly because if there is one thing they are good at, it is creating plausible narratives in perfect English.

The other area we see attackers using it is to automate their work. We have of code that appears to have been written by an AI.

In the short term, AI will not enable adversaries to do anything new, but we expect it to enhance the quality and volume of their attacks. AI is lowering the entry bar for threat actors. They do not even need to know how to code anymore. Naturally, the number of attacks will begin to go up.

In the medium term, the arrival of Agentic AI is likely to accelerate malicious activity levels, since agents can act autonomously, further minimizing the level of input needed from attackers.

on how agents could be abused and proven that they can already be used to carry out a basic spear phishing attack and deliver malicious code to a target. Agents are still in their infancy, and it is only a matter of time before they become capable of carrying out more sophisticated attacks with minimal instruction.

Preparing For the Quantum Era

The advent of presents another significant challenge for cybersecurity. Quantum computers have the potential to break current encryption standards, making it imperative for organizations to transition to post-quantum encryption algorithms.

Adversaries are already preparing for this shift. The 鈥渉arvest now, decrypt later鈥 strategy involves stealing encrypted data today with the intention of decrypting it once quantum computing becomes viable.

This process of transitioning to post-quantum encryption is not without its challenges. Decades of work have gone into refining and protecting the implementation of existing encryption methods, and we now face the task of revising and rewriting code using new, post-quantum standards. This will inevitably introduce a new generation of bugs, but we will have the benefit of AI to mitigate them.

It Does Not Stop Here

Conferences such as Billington are essential as we navigate this complex landscape. It embodies the Public and Private Sector collaboration that will be key to realizing better cyber defense outcomes moving forward. Together, with partners like 探花视频 delivering mission-critical industry expertise to U.S. Federal and Public Sector agencies, we can anticipate and counter the next generation of cyber threats, ensuring the safety and resilience of our digital ecosystems.

Learn more about how industry icons like Symantec and Carbon Black are putting AI on the .

Want to learn how Symantec, Carbon Black and 探花视频 can strengthen your cybersecurity posture? Contact us at Broadcom@探花视频.com for more information.

探花视频. 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鈥痜or our vendor partners, including Broadcom, we deliver鈥solutions鈥痜or 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 探花视频 Blog to learn more about the latest trends in Government technology markets and solutions, as well as 探花视频鈥檚 ecosystem of partner thought-leaders.

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

Securing Government AI: Why Federal Agencies Need a Trust Layer for Accountable, Compliant Deployment

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Federal agencies must deploy AI fast – but safely. The White House’s Executive Order, new OMB guidance requiring Chief AI Officers, and citizen expectations are driving rapid adoption., doubling in just one year.

The challenge? Traditional security can’t keep up with AI systems operating at machine speed and scale. Federal agencies need Zero Trust architecture built specifically for AI agents, not retrofitted legacy systems. The recent addition of Nuggets’ Trust Layer solutions to the GSA Schedule provides exactly that foundation.

The Zero Trust Imperative for Government AI

Here’s the reality: AI agents make thousands of decisions per second across multiple systems. Without Zero Trust verification, agencies can’t prove who authorized what action, when or with which data.

The core challenges are clear:

  • Speed vs oversight: AI operates faster than current security can verify
  • Scale: Thousands of simultaneous agent interactions with no unified oversight
  • Accountability gaps: No audit trails for autonomous decisions in black-box systems
  • Compliance blind spots: weren’t designed for autonomous AI
  • Sophisticated threats: AI-powered spoofing attacks that overwhelm legacy defenses

Federal agencies face intense pressure to adopt AI, but risks around bias, privacy, accountability and public trust threaten safe deployment. The gap between what agencies must deliver–secure, transparent, compliant services鈥攁nd what legacy systems can support continues to widen.

Why Legacy Solutions Can’t Keep Up

Traditional identity systems were built for humans, not AI agents. While protocols like Agent-to-Agent (A2A) and Model Context Protocol (MCP) enable coordination between agents and tools, they don’t verify trust, intent or authorization, especially when handling sensitive Government data.

Point solutions create security silos and compliance blind spots. Legacy frameworks simply don’t account for autonomous decision-making, leaving agencies without proof of who or what acted, when and with proper authorization. Without this foundation, compliance and accountability are left to chance.

The Trust Layer Solution: Zero Trust for AI

Nuggets provides purpose-built Zero Trust architecture for agentic AI. Recognized by Gartner as a leader in decentralized identity, our trust layer embeds verification into every AI interaction, no matter the agent, system or data involved.

The comprehensive architecture creates compliance by design through three core capabilities:

Verifiable Identity: Cryptographically verified identity for every human, organization and AI agent that works across all platforms, contexts, devices and systems.

Complete Audit Trails: Every AI decision creates tamper-proof records with consent receipts and authorization proofs that meet Federal accountability requirements.

Standards Compliance: Built-in adherence to requirements, ensuring agencies can deploy AI while meeting stringent security standards.

The result: a Zero Trust foundation on which agencies can deploy autonomous AI systems with confidence that every action is verified, compliant and auditable. This will enable both rapid innovation and Government accountability.

Real Impact: Government AI That Works

For Government IT leaders, the practical outcomes are substantial and measurable. Agencies using Nuggets’ trust layer achieve:

Operational Confidence: AI agents operate autonomously while maintaining security standards, delivering efficiency without sacrificing oversight.

Compliance Assurance: Built-in adherence to Federal identity verification requirements eliminates compliance guesswork.

Mission Success: Complete audit trails for all AI interactions and decisions ensure accountability while preventing unauthorized actions that could compromise sensitive operations.

Real-world use cases demonstrate the impact: automated document processing across agencies with complete audit trails, AI-driven eligibility checks and fraud detection that withstand regulatory scrutiny, secure inter-agency data sharing with verified agent identities and AI-powered citizen services that maintain privacy while delivering efficiency.

Each deployment proves that agencies can achieve both AI innovation and Government accountability, systems that are trusted by regulators, citizens and the mission itself.

The GSA Schedule Advantage

Procurement complexity often slows Government adoption of new technologies, but Nuggets eliminates these barriers. The solution is available through multiple pre-vetted contract vehicles, including GSA Schedule No. 47QSWA18D008F, SEWP V contracts, ITES-SW2, NASPO ValuePoint, OMNIA Partners and E&I Contract.

This means agencies can move from evaluation to deployment quickly, leveraging 探花视频’s established Government relationships and support infrastructure. No lengthy procurement delays, no security gaps, no compliance questions.

Ready for Trusted AI Deployment?

As agencies expand AI capabilities, traditional security cannot keep pace with the speed, scale and complexity of autonomous systems. Purpose-built Zero Trust infrastructure is essential for agencies that must balance innovation mandates with compliance requirements and public accountability.

See how Federal agencies are deploying AI that’s secure, compliant, transparent and trusted. Schedule a personalized demo to explore how Nuggets’ Trust Layer can secure your agency’s AI deployment with the accountability that Government operations require.

Deploy AI that’s trusted by regulators, citizens and your mission. Contact 探花视频 at (844) 214-4790 or Nuggets@carahsoft.com. Learn more at www.carahsoft.com/nuggets.

探花视频. 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鈥痜or our vendor partners, including Nuggets, we deliver鈥solutions鈥痜or 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听探花视频 Blog听to learn more about the latest trends in Government technology markets and solutions, as well as 探花视频鈥檚 ecosystem of partner thought-leaders.

Enabling Rapid Compliance with Sysfleet鈥檚 RPA Tools

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As technology evolves, Government agencies seek to modernize effectively, securely and efficiently. By utilizing Sysfleet鈥檚 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:

  1. Shorten the life cycle of requests
  2. Eradicate human error by automating menial tasks
  3. 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鈥檚 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鈥檚 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鈥檚 听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听 , 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鈥檚 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鈥檚 RPA tool can expedite long manual processes that traditionally contain human errors due to their complexity.

探花视频 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 探花视频, Sysfleet is further empowered to support the Public Sector. 探花视频 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.

探花视频. 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鈥痜or our vendor partners, including Sysfleet, we deliver鈥solutions鈥痜or 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 探花视频 Blog to learn more about the latest trends in Government technology markets and solutions, as well as 探花视频鈥檚 ecosystem of partner thought-leaders.

Secrets to Public Sector Sales Success: Insights from Marion Square鈥檚 Harvey Morrison

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The Federal Government needs more solutions, not more software. That is the message we at get every day from our agency contacts. They do not want lists of product features or emails about why one technology is better than another. They want to know how that technology will meet their very specific needs, how it will fit into their unique IT architecture and, most importantly, how it will help them solve their challenges.

As such, successfully selling to agencies today looks a lot different from what it did a few years ago. It is not about getting 50 meetings with 50 different agencies; that scattershot approach is a waste of time. Instead, it is about ensuring that the right meetings are held and that each one matters.

That is where Marion Square comes in. We help technology vendors align their products with mission impact and operational fit. Our advisory approach blends deep market intelligence with tailored go-to-market strategies that position technology not as a product, but as an answer to an agency鈥檚 most pressing needs.

Based on our conversations with agency contacts, here are the key trends shaping Federal buying behavior, and how we recommend vendors respond.

The Three Pricing Archetypes Driving Public Sector Purchasing

The Government is still under immense pressure to bring costs down and increase efficiencies. Over the past few months, we have heard from many clients whose customers have called for price reductions. We advise them on three ways to respond:

  • designed to disrupt incumbents.
  • to consolidate functionality and edge out niche competitors.
  • The 鈥渄efault discount” simply lowers the price without a strategic hook.

Vendors must choose their approach carefully. A bold discount can open doors but risks setting unsustainable expectations. Value bundling requires clear articulation of how those added features meet specific mission needs. And while price cuts may help win deals in the short term, they should be anchored in a broader licensing or adoption strategy to avoid devaluation.

Partnering With Services Companies Is a Winning Strategy

Agencies need help navigating integration, implementation, training and sustainment. That is why partnering with services companies is essential. These firms bring institutional knowledge, procurement relationships and hands-on delivery capacity that agencies trust. When a vendor brings a product plus a credible partner to help stand it up, it reduces perceived risk and increases purchase confidence.

At Marion Square, we help clients align with the right service partners early in their go-to-market process. Doing so allows them to frame their offerings not as standalone tools, but as parts of larger, operationally relevant solutions.

Indeed, we have seen a lot of success when vendors position themselves alongside integrators or mission-focused contractors who already have traction within an agency. The collaboration strengthens the overall value proposition and gives agencies greater confidence that the solution can be deployed effectively and deliver measurable outcomes.

Agencies Look to Vendors For Education, Not Just Products

Many Federal stakeholders are overwhelmed by emerging technologies and new mandates. They value a partner who can help them unpack directives like the Cybersecurity and Infrastructure Security Agency (CISA) Binding Operational Directive (BOD) 23-02, for instance, or understand how artificial intelligence (AI) tools can improve workflows, cybersecurity initiatives and so forth. Vendors who show up with insight, rather than just information, become trusted advisors and separate themselves from the pack.

We also see a significant knowledge gap around the innovation programs already available to agencies. Beyond well-known pathways like Small Business Innovation Research Programs (SBIRs), many Government stakeholders are unaware of other funding mechanisms and pilot opportunities that could support emerging technologies. So, we work with clients to help them think of new ways to present their technology and receive funding for their solutions.

For example, we worked with a client focused on AI data processing who was using a traditional hardware approach. We identified an opportunity to reposition their architecture to align with a lesser-known innovation program, helped craft a targeted proposal and they secured funding. It is proof that vendors can add value by not only educating agencies on their capabilities but also guiding them toward untapped opportunities to fund and implement them.

Join Us This Fall

In October, we will be co-hosting a strategy session with our partner 探花视频 to discuss these and other issues. We will discuss current market trends and provide attendees with insights into crafting winning sales strategies that drive traction. We will cover what it takes to get agency attention, how to build messaging that resonates and how to position each solution as the one that helps Government teams deliver on their mission.

We hope you will join us!

探花视频. 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鈥痜or our vendor partners, including Marion Square we deliver鈥solutions鈥痜or 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 探花视频 Blog to learn more about the latest trends in Government technology markets and solutions, as well as 探花视频鈥檚 ecosystem of partner thought-leaders.

Insights from MESC: Modernization, AI and the Cloud听

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At this year鈥檚 Medicaid Enterprise Systems Conference (MESC), held August 11-14 in Milwaukee, Wisconsin, Federal officials, technology partners and thought leaders joined to share insights on modernization, artificial intelligence (AI), fraud prevention and cloud adoption. 

探花视频 attended MESC alongside its partners to facilitate connections between healthcare systems and technology vendors. 

Here are the top five insights from MESC.

1. Unified Observability Enables Modernization

As agencies modernize, observability is becoming critical to success. In the session 鈥淵ou Can鈥檛 Modernize What You Can鈥檛 See: Observability for Medicaid Cloud Future,鈥 Datadog speakers Greg Reeder, the Senior Director of the Public Sector Marketing, Ryan Gault, the Regional Sales Director for SLED East, and Abe Rosloff, the Enterprise Solution Engineer for SLED, discussed best practices for the cloud. Observability reduces the time it takes teams to find system bottlenecks. With 顿补迟补诲辞驳鈥檚 unified observability SaaS platform, agencies can utilize real-time monitoring to oversee critical systems. The has released new modules that run alongside 30 year old modular systems. Onboarding the cloud to legacy systems can be tricky, so 顿补迟补诲辞驳鈥檚 unified platform provides a layer of visibility that empowers users with insight in the form of an easy-to-use dashboard. Working with a large Medicaid agency on both coasts under contracts with the , the and OMNIA, Datadog helps pinpoint issues quickly through their SaaS platform.  

With 顿补迟补诲辞驳鈥檚 unified monitoring, agencies gain real-time visibility into user interactions to proactively identify and address breaches before they arise. 

2. AI Use Cases for Medicaid听

In the session 鈥淎voiding AI Landmines in Medicaid: What Worked, What Didn’t and What We’ve Learned,鈥 speakers Eng Tan and Cynthia Afkhami from discussed the pros and cons of various AI usages. AHS discussed its digital journey in AI adoption; it took three months for users to learn terminology, three months to build the model and six to nine months to test it. While building the AI was easy, the production stage was more challenging. Instead of traditional IT testing, AI requires strategic, human-centered testing. In one case study, AHS designed , a 鈥渄igital butler鈥 for customer support representatives that helped translate notes between Spanish and English. This resulted in reduced wait times, a 3% increase in scores and reduced attrition. AHS attributes this success to relevant management buy-ins, IT management support, staff participation, senior management support and focused training. Ultimately, AHS recommends having a solid foundation of data management, governance frameworks and team training before implementing AI. 

Learn how AI can help streamline processes to build stronger, more resilient healthcare systems with 探花视频鈥檚 AI solutions. 

3. How GenAI Can Embolden Healthcare听

In the session 鈥淯nleashing the Power of Generative AI on Care Planning in Healthcare,鈥 speakers Mason Tanaka, the Deputy Commissioner and CIO from Alabama Medicaid Agency, and Andy Pitman, the State and Local Government Health and Human Services (HHS) Strategy Director for Microsoft, showcased 鈥檚&苍产蝉辫; goals and guiding principles behind its new generative AI (genAI) platform, AI Continuum. In collaboration with Microsoft, Alabama Medicaid aims to bring genAI into healthcare planning by operationalizing various tools in testing and production to help teams reclaim ownership of the planning and design process. Through AI Continuum, nurses and social workers were able to support clinical decisions and use risk stratification predictive analytics to secure better patient outcomes. 

Leverage genAI insights and maximize your data鈥檚 potential through 顿补迟补产谤颈肠办蝉鈥檚 optimized data infrastructure and scalable, predictive machine learning models.听

4. Modernization, the Cloud and AI

In the session 鈥淐MS-5: MES State of States,鈥 speakers from CMS Ed Dolly, the Deputy Director for Data Systems Group, and Eugene Gabriyelov, the Director Division of State Systems, reviewed the progress made in Medicaid Enterprise Systems (MES) and future goals.  

The top takeaways include: 

  • The time spent creating modular certifications has been reduced from two years to fourteen months 
  • With over 1,300 MES submissions received annually, timely operational reporting has become more significant 
  • Metric reporting is essential for continued funding 

Looking ahead to the upcoming fiscal year, goals include receiving operational metric reports from each state, standardizing interfaces, expanding AI usage and increasing collaboration across the nation. 

Modernize with confidence to improve efficiency, transparency and accountability. Visit Broadcom鈥檚 page to learn how their solutions support interoperability.  

5. Fighting Fraud with DNA Prevention

In the session 鈥淔ighting fraud: Insights from Office of Inspector General (OIG)鈥檚 internally developed Fraud, Waste and Misuse (FWM) early warning system,鈥 speakers Wei-Shin Wang, the Bureau Chief at the Bureau of Fraud Science and Technology, Douglas Steinley, data analytics consultant at the University of Missouri, Ben Xu, the Sr. Developer at the Bureau of Fraud Science and Technology, and Jon DeShazo, the Senior Lead Consultant at Leads, discussed Dynamic Network Analysis (DNA)-powered fraud prevention. The FWM early warning system, which was built with NTT DATA and powered by DNA, saw successes in uncovering fraud patterns early on. Within the system, there are modules for profiles, reports and inquiries, advanced surveillance and risk detection, audit support and system usability. Early results from this training illustrate that automation and analytics can strengthen program integrity while reducing manual oversight.  

Leverage trusted data analytics and streamlined operations with 贰辩耻颈蹿补虫鈥檚 trusted solutions in data analytics and fraud-resilient technology.  

——————– 

As medical systems evolve, the common theme is clear: innovation must balance modernization with accountability, human-centered design and measurable outcomes. 

探花视频鈥檚 healthcare portfolio equips agencies with cloud, genAI and analytics solutions that streamline operations and strengthen program integrity. By improving efficiency, reducing fraud and eradicating unnecessary costs, agencies can reinvest in sustainable healthcare that prioritizes improving patient outcomes.  

Looking to modernize with the latest in healthcare technology? Visit 探花视频鈥檚 broad range of contract vehicles to access Government healthcare solutions quickly and confidently.  

Embracing Human Intelligence into Digital Learning

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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鈥檚 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 鈥 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鈥檚 expertise in associated skills levels. Such learning paths can be configured with automated enrollment triggered by specified events, such as a learner鈥檚 registration to the LMS, their onboarding, promotion, re-location, upskilling and more. 探花视频 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 探花视频 leverages Adobe Learning Manager to deliver over 5600 learning modules, 952 courses and 35 learning paths.

Virtual Classrooms 鈥 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!

探花视频. 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鈥痜or our vendor partners, including Adobe we deliver鈥solutions鈥痜or 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 探花视频 Blog to learn more about the latest trends in Government technology markets and solutions, as well as 探花视频鈥檚 ecosystem of partner thought-leaders.

The Role of AI Infrastructure in Government听听

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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听
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鈥檚 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.听

Data Preparation 

The success of an AI solution can tie back to how well the data is prepared before it鈥檚 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.听

Data Storage听
Because today鈥檚 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.听

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听
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.听

Security & Governance听
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鈥檙e safe, reliable and ready to be audited at any time.听

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鈥檚 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.听听

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.听

探花视频鈥檚 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 探花视频鈥檚 Page on AI Solutions. 

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

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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鈥 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鈥檚 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鈥檚 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鈥檚 security and MinIO鈥檚 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鈥攃ritical 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鈥檚 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鈥檚 most ambitious AI projects and mission-critical data workloads across many industries.

探花视频. 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鈥痜or our vendor partners, including F5 we deliver鈥solutions鈥痜or 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 探花视频 Blog to learn more about the latest trends in Government technology markets and solutions, as well as 探花视频鈥檚 ecosystem of partner thought-leaders.

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

Transforming Federal AI Adoption: How 骋辞辞驳濒别鈥檚 OneGov Agreement Delivers Enterprise-Grade Intelligence

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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鈥檚 collective buying power. 骋辞辞驳濒别鈥檚 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鈥檚 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鈥檚 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 探花视频’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鈥攊t 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 探花视频 today or call us at (888) 662-2724 to learn more and take advantage of this limited-time promotional offer.

探花视频. 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鈥痜or our vendor partners, including Google we deliver鈥solutions鈥痜or Geospatial, Cybersecurity,听MultiCloud,听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听探花视频 Blog听to learn more about the latest trends in Government technology markets and solutions, as well as 探花视频鈥檚 ecosystem of partner thought-leaders.