Tag Archives: Automation

10 Healthcare Technology Predictions Shaping 2026 

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Carahsoft, The Trusted IT Solutions Provider for the Healthcare Industry™, supports healthcare organizations in their mission to deliver efficient, high-quality care across the enterprise. Our comprehensive portfolio of healthcare solutions addresses critical needs across clinical systems, patient experience, enterprise operations, infrastructure and more. We help healthcare organizations streamline workflows, reduce administrative burden and improve security, maximizing the value of technology investments. As healthcare continues to evolve through regulatory changes, innovation and shifting care delivery models, these 10 trends represent the most significant opportunities and challenges facing the industry in 2026. 

Interoperability: From Compliance Exercise to Strategic Asset 

The 21st Century Cures Act and the Office of the National Coordinator’s (ONC) Health Data, Technology and Interoperability (HTI)-1 Final Rule have pushed standardized Fast Healthcare Interoperability Resources (FHIR)-based Application Programming Interfaces (APIs) and expanded data classes into the market. The Center for Medicare and Medicaid Services’ (CMS) Interoperability and Prior Authorization Final Rule adds pressure on both payers and providers to exchange information seamlessly. In 2026, however, organizations that treated these regulations as checkbox compliance activities will watch competitors turn interoperability into operational advantage. 

Real-time data feeds reduce prior authorization delays. Integration platforms surface insights that drive value-based care arrangements. Data warehouses built for exchange, not just storage, become the foundation for population health management. The early adopters are not just meeting regulatory requirements. They are using data exchange to reduce administrative burden, improve care coordination across settings and unlock revenue opportunities that siloed systems leave on the table.  

The Transparent Use of AI in Healthcare 

In 2026, healthcare leaders will shift from asking should they use AI to how to document and explain it. The HTI-1 Final Rule introduced algorithm transparency requirements: disclosure when artificial intelligence (AI) and machine Learning (ML) algorithms influence clinical decisions. Clinical teams need to understand when AI-driven insights are guiding care recommendations, and patients deserve to know when algorithms influence their treatment plans.  

Regulatory bodies expect organizations to prove their AI tools meet safety and efficiency standards. The organizations that move early on AI governance frameworks, establish clear documentation standards and train clinicians on algorithm literacy will be ready when transparency moves from recommended to required.  

AI will also be used as the voice of healthcare. Call center staff miss operational targets by spending 25 minutes on a single call, AI, however, can make 50+ simultaneous calls while giving each patient the time they need. This capability transforms patient engagement at scale. AI enables follow-up with 100% of discharges, identifying interventions that prevent readmissions and materially impact the quadruple aim: better outcomes, better patient experiences, lower costs and improved clinician satisfaction. 

Telemedicine Shifts to Integrated Care Model 

Telemedicine exploded during the pandemic as an emergency solution. In 2026, leading organizations will stop treating telehealth as a separate channel and start embedding it into the care continuum. Digital front doors guide patients to the right care setting, whether that is video, in-person or asynchronous messaging. 

The technology exists and the patient demand has been proven, but what is missing is the operational maturity to weave virtual care into clinical workflows, reimbursement models and quality measurement. Organizations that integrate this technology into their environments will deliver better access without fracturing the care experience. 

The Revenue Cycle  

Healthcare organizations have been exploring AI in clinical settings (ambient documentation, diagnostic support, care coordination), but the revenue cycle may deliver faster more measurable returns. Prior authorization is a prime target. AI can automate the documentation assembly, predict approval likelihood and flag missing information before submission. 

Coding accuracy is another opportunity. Natural Language Processing (NLP) tools can analyze clinical documentation and suggest appropriate diagnosis and procedure codes, reducing claim denials and capturing revenue that incomplete documentation would lead to. The Chief Financial Officer (CFO) conversation around AI will shift in 2026. Revenue cycle leaders will demonstrate tangible Return on Investment (ROI): fewer denials, faster reimbursement and reduced administrative costs. These wins will fund broader AI adoption across the enterprise. 

Value-Based Care 

The shift to value-based care has been talked about for years, but 2026 is when data infrastructure limitations become impossible to ignore. Value-based contracts require organizations to track outcomes across care settings, measure quality metrics in real time and identify high-risk patients before they become high cost. Siloed Electronic Health Records (EHRs), fragmented data warehouses and manual reporting processes cannot support these requirements. 

Organizations need integration platforms that pull data from multiple sources, such as inpatient, outpatient, lab, pharmacy and claims. They need analytics tools that surface actionable insights, not just dashboards, and they need governance frameworks that ensure data quality and consistency. 

The healthcare organization succeeding in value-based arrangements are not necessarily the largest or best-resourced. They are the ones that invested early in data infrastructure and developed the analytical capabilities to turn information into action. 

Cybersecurity: From IT Issue to Board-Level Risk 

The proposed changes to the Health Insurance Portability and Accountability Act (HIPAA) Security Rule published December 2024 represents a significant escalation in regulatory expectations. If finalized in 2026, covered entities will face requirements for data encryption, Multi-Factor Authentication (MFA), network segmentation, vulnerability scanning and penetration testing. The Department of Health and Human Services’ (DHHS) Cybersecurity Performance Goals provide a voluntary framework, but the proposed HIPAA updates suggest these practices may become mandatory. 

Chief Information Security Officers (CISOs) who can translate technical risks into business impacts will gain influence. Organizations that invest in both technology controls and governance frameworks will build resilience that extends beyond compliance checkboxes. Organizations that elevate cybersecurity to a strategic priority will be better prepared when threats escalate. 

The Digital Front Door 

Patient expectations have changed. People expect to schedule appointments, complete intake forms and access their health information online. The digital front door is more than a patient portal. It is a comprehensive strategy to meet patients where they are. In 2026, leading organizations will integrate digital patient engagement tools into a seamless experience, reducing administrative burden on staff, improving patient access and generating operational efficiencies. 

However, digital tools that do not connect to existing workflows create more problems than they solve. Integration of patient-facing technology with operational systems eliminates duplicate work and improves patient and staff experiences. 

Rural Healthcare Transformation 

The Rural Health Transformation Program represents the most significant Federal investment in rural healthcare infrastructure with $50 billion over five years, starting in 2026. This funding creates opportunities for technology investments that rural hospitals and health systems, particularly patient-facing solutions, technical assistance for IT and cybersecurity and innovative care models that often depend on digital tools. 

Rural organizations that prepare strong applications will access resources that can transform their operational capabilities. However, rural organizations often lack the IT staff, strategic planning capacity and vendor relationships that larger systems have. The organizations that succeed in securing and deploying these funds will be those that partner with experienced implementation teams, prioritize high-impact use cases and build sustainable technology roadmaps. 

Technology vendors and solution providers should pay attention to this program. It represents a market opportunity to support underserved communities with solutions that improve access, reduce costs and strengthen resilience. 

Workforce Solutions Beyond Scheduling and Talent Management 

Healthcare’s workforce crisis continues as burnout and turnover remains high. Traditional solutions help but do not solve the underlying challenges and impact staffing shortages have on care delivery and patient experience. In 2026, forward-thinking organizations will expand their workforce technology strategy beyond administrative efficiency to include tools that directly reduce clinician burden and improve job satisfaction. 

Clinical and operational technologies improve the work experience, and organizations that recognize this and invest accordingly will differentiate themselves in competitive labor markets. Workforce development technology such as training platforms, competency management systems and career advancement tools can help organizations grow talent internally rather than recruiting externally. This is especially valuable for rural hospitals that cannot compete with compensation alone. The organizations that treat workforce challenges as technology opportunities will build more resilient, engaged and effective teams. 

The Role of Process Automation 

Healthcare has embraced automation is administrative functions like claims processing, appointment reminders and billing. These applications deliver clear ROI and do not require clinical engagement. Clinical applications, however, require different considerations than back-office automation. These workflows involve judgement, variability and patient safety concerns. 

Automation in clinical settings requires trust. Clinicians need to understand how automated processes work, when to intervene and how to escalate exceptions. IT and operational leaders need to ensure automation enhances workflows rather than creating workarounds that introduce new risks. Healthcare organizations that approach automation thoughtfully will reduce burden, improve efficiency and demonstrate that technology can support instead of complicate clinical work. 

These trends represent opportunities for healthcare organizations to leverage technology in pursuit of better outcomes, improved efficiency and stronger financial performance. The organizations with clear priorities, engaged leadership and commitment to implementation will position themselves for success. As regulatory requirements evolve and patient expectations rise, technology partnerships become essential to delivering high-quality care while managing costs and operational complexity. 

Explore Carahsoft’s Healthcare Technology solutions portfolio to discover compliant, secure solutions tailored for healthcare organizations.  

Download Carahsoft’s Healthcare Buyer’s Guide to evaluate solutions that meet your organization’s operational and compliance requirements. 

Contact the Healthcare Team at (571) 591-6080 or Healthcare@carahsoft.com to discuss solutions that accelerate your technology adoption. 

Revolutionizing Road Safety: How Blyncsy Uses AI To Leverage Dashcam Footage

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By accessing over a million commercial dashcams, Blyncsy, a part of Bentley Systems, uses movement intelligence to improve mobility and transportation, uses artificial intelligence (AI) vision to pinpoint roadway issues, extrapolate pain points and alert local officials with the most efficient solution to the problem.

Infrastructure Pain Points

State and Local Governments rely on manual inspections to maintain roadways. These are incredibly expensive, as Light Detection and Ranging (LiDAR) systems cost 200 dollars or more per mile to operate. These fact-finding missions are both labor-intensive and time-consuming.

Information collected to make informed decisions on roadway maintenance is often coming from multiple sources. Fragmented and sometimes outdated data makes informed analysis difficult to obtain. Government officials need to be able to take these data points and interpret their value to suit modern needs, such as the wear of heavier electric vehicles and extreme weather on roadways, the use of autonomous vehicles and population increase in urban areas.

How AI-Vision Works

Blyncsy’s AI-Vision collects images from commercial dashcams currently on roadways around the country. The journey from raw footage to data analysis takes place in three steps:

  1. Upload and Validate: Images are collected and validated by examining meta details such as direction information, date and time stamps and heading information.
  2. Segment: AI-Vision breaks down the image and groups like objects together.
  3. Mask: Blyncsy highlights the segments that are valuable to the relative Government agency and provides near real-time insights.

Bentley Systems purchases the footage from partnering dashcam providers and makes the data available to State and Local officials that allow them to make informed and cost-effective decisions to improve their infrastructure. Proactive maintenance applications allow agencies to combine disparate data points to demonstrate how they interact with each other. For example, Blyncsy’s AI-Vision can identify a crosswalk in an image, then analyze the condition of the crosswalk paint and surrounding streetlights. This comprehensive analysis can help agencies quickly determine which intersections are not safe for pedestrians, and subsequently where they should be focusing maintenance efforts.

Blyncsy’s Capabilities

With the dashcams passively capturing and uploading every detail of the roads their drivers travel, Blyncsy’s practical applications are as numerous as the elements they capture.

  1. Safety Critical Assets: From guardrail detection and damage to paint line degradation, the AI-Vision can capture and evaluate the extent of the damage, determine whether the damage is severe enough to require immediate repair. Hawaii is the first to utilize this technology state-wide to detect vegetation encroachment and guardrail damage. As a result, the Hawaii Department of Transportation (HIDOT) can prioritize resolving the most critical safety issues.
  2. Roadway Detection: Similarly, AI-Vision can detect roadway conditions, including recognizing potholes and pavement cracking and issuing a Pavement Surface Evaluation and Rating (PASER) score, where ratings can indicate good or poor pavement condition.
  3. Sign Inventory: Blyncsy can identify how each sign it captures is categorized according to their Manual on Uniform Traffic Control Devices (MUTCD) Classification. From there, it can assess damage and even recognize whether a sign is missing. They can also perform Optical Character Recognition (OCR) on signs to read the text.

These are only a few of the numerous ways Blyncsy’s AI-Vision technology can make roadway and infrastructure maintenance more efficient and cost-effective.

 Watch Blyncsy CEO Mark Pittman discuss the capabilities of AI-Vision and how it can help optimize your infrastructure maintenance systems.

To learn more about Blyncsy (a Bentley company) or Bentley, or to schedule a demo, contact Bentley@carahsoft.com or call (703) 673-3570.

Carahsoft Technology Corp. 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 Blyncsy, 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 Carahsoft Blog to learn more about the latest trends in Government technology markets and solutions, as well as Carahsoft’s ecosystem of partner thought-leaders.

Cybersecurity Automation: Strengthening Defense in a Resource-Strapped Environment

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If you work in Government agencies or as a contractor, you feel the pressure to do more with less every day. Security teams in particular have to reduce response times despite limited staff and resources.

Cybersecurity automation gives a practical way to manage these tasks without relying on constant hiring. Two core compliance frameworks that shape this work for you are the National Institute of Standards and Technology (NIST) Cybersecurity Framework and the Cybersecurity Maturity Model Certification (CMMC).

NIST organizes cybersecurity activities into five functions: Identify, Protect, Detect, Respond and Recover. Meanwhile, CMMC defines maturity levels and specific practices across domains, such as access control, auditing and incident response. Let’s explore three cybersecurity automation strategies that help organizations strengthen their defense.

Why Cybersecurity Automation Is Important

For security teams, a typical day revolves around manual triage, status chasing and spreadsheet maintenance. Cybersecurity automation changes it by pulling live data from your systems to maintain current asset and risk inventories. This happens without asking people to update information by hand.

Under NIST’s Identify function, this means you can see where your critical assets live and how they change over time. On the other hand, the Protect function benefits from automated patching, network segmentation and access monitoring that do not depend on someone remembering to run a script.

Cybersecurity automation also strengthens access control. It enables security professionals to manage who joins, moves and leaves networks and critical systems. At the same time, it keeps user privileges aligned with each user’s role.

This automation handles all your repeatable tasks, allowing you and your teams to spend more time on strategic risk decisions instead of routine checks. You can easily keep pace with security requirements even when the headcount is tight.

Three Ways Cybersecurity Automation Reduces Risks

The main purpose of automating cybersecurity is to minimize threats and speed up recovery and incident response times. Below are three cybersecurity automation strategies that help achieve that:

Smarter Threat Detection

Staff shortages directly or indirectly impact almost every step of your security process. This also includes your ability to watch for threats around the clock. With manual scans and periodic log reviews, your team is more likely to leave gaps that adversaries can take advantage of.

Cybersecurity automation closes those gaps by running continuous monitoring and correlating logs across your security operations center. It also surfaces patterns, such as unusual data transfers or login behaviors, that deserve a closer look. This lines up directly with the Detect function of the NIST Cybersecurity Framework, which emphasizes the timely discovery of cybersecurity events.

Automated anomaly detection can learn what “normal” looks like in your environment and instantly flag deviations for investigation. Your analysts don’t have to stare at dashboards all day. This way, you give your security operations greater depth without adding more people to the roster.

Additionally, CMMC strengthens this need through the AU (Audit and Accountability) domain. It expects systematic collection, protection and review of audit logs. Automation can collect and timestamp events, retain them according to policy and perform first-level analysis to find suspicious sequences. If you work in Government services, this type of threat detection raises your confidence that your team won’t miss any meaningful events.

Faster Incident Response and Recovery

Security teams feel the need for more staff members, especially when something goes wrong. A strong incident response plan only helps if you can execute it quickly and consistently.

Cybersecurity automation brings that plan into action by triggering playbooks as soon as a qualifying event occurs. The automated system instantly isolates affected systems, blocks malicious IP addresses and starts forensics workflows without waiting for someone to manually coordinate the steps.

NIST’s Respond and Recover functions call for well-defined processes that you can rely on during stressful situations. With automation in place, regular backups can be created and tested according to schedule. It also makes sure recovery takes place before systems return to production and that every step is logged for later review.

CMMC’s IR (Incident Response) domain expects this level of definition and documentation. This is much easier to achieve via automation than phone calls or ad hoc emails.

Compliance Made More Manageable

Agencies and contractors working in regulated environments must show that they consistently follow their stated controls. NIST SP 800-53 includes controls that can be supported through cybersecurity automation, such as CA-7 for continuous monitoring. It runs assessments on a defined cadence and produces standardized reports for reviewers.

For security teams, this means they can rely on their automation solutions to maintain an up-to-date record of control performance.

CMMC evaluates maturity across Risk Assessment (RA) and Security Assessment (CA) domains. Automation can help you bring together threat, vulnerability and asset information to support cybersecurity activities without adding new layers of manual work. These include objective risk scoring, tracking remediation activities and monitoring third-party risks.

This automates the flow of information and helps security teams, auditors and compliance leaders easily interpret the results. You still own the decisions, but security automation makes it much easier to show how your program aligns with compliance requirements.

Choosing the Right Cybersecurity Automation Platform

If you’ve already started planning to put these strategies into practice, you may still be wondering which security automation platform to choose. As a general rule of thumb, look for a solution that:

  • Connects to your existing cybersecurity technology, tools and processes
  • Supports a range of users, from CISOs and risk officers to analysts and auditors
  • Offers no-code or low-code options, as they allow security teams to design and adjust workflows without requiring many development resources
  • Aligns with your long-term Governance, Risk and Compliance (GRC) strategy while giving you quick wins in log review, alert triage, incident response and control testing
  • Ties with NIST and CMMC requirements
  • Comes with strong reporting and user experiences

Onspring offers all these features to security teams. Their no-code GRC platform connects risk, compliance and audit data so you can manage policies, assessments and issues in one place.

The platform has strong social proof. Their customers report saving up to 70% of the time they once spent managing policies, consolidating 12% of their applications and improving overall business efficiency by 33%.

Onspring also automates repetitive tasks and displays everything on spreadsheets and dashboards for easy collaboration. It also has GovCloud support for Government environments, which enables CISOs, auditors and security teams to manage security-related functions on autopilot.

Connect with Onspring’s team to understand how their cybersecurity automation capabilities can reduce risks in diverse environments.

Discover How Automation Reduces Cybersecurity Risks

Carahsoft Technology Corp. 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 Onspring, 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 Carahsoft Blog to learn more about the latest trends in Government technology markets and solutions, as well as Carahsoft’s ecosystem of partner thought-leaders.

FedRAMP 20x: Modernizing Cloud Security Authorization Through Automation and Continuous Assurance

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FedRAMP authorization has long required extensive documentation, static point-in-time assessments and timelines of 18–24 months. This approach has slowed innovation for Federal agencies seeking secure cloud solutions and for vendors pursuing Government contracts.

FedRAMP 20x reimagines authorization through automation, machine-readable evidence and continuous monitoring, shifting compliance from document-driven processes to data-driven assurance. It also reshapes how Federal agencies, Cloud Service Providers (CSPs) and Third-Party Assessment Organizations (3PAOs) collaborate to secure Government environments.

The Shift from REV 5 to 20x

Traditional FedRAMP authorization follows a linear, document-heavy process where CSPs write extensive System Security Plans (SSPs), undergo annual assessments and exchange static artifacts with 3PAOs. FedRAMP 20x maintains the same security requirements from National Institute of Standards and Technology (NIST) Special Publication (SP) 800-53 Revision 5 (REV 5) but transforms how evidence is validated. Instead of screenshots or single-moment spreadsheets, 20x uses logs, configuration files and automated integrations that reflect real-time security posture. This enables continuous assurance, with systems remaining audit-ready and controls validated through actual telemetry and configuration baselines.

The result is a more dynamic, risk-focused model that moves beyond top-down waterfall processes that often obscure security conditions.

Modernized Compliance

FedRAMP 20x requires robust compliance automation built on five pillars:

  1. Control normalization
  2. Engineering
  3. Infrastructure
  4. Evidence generation
  5. Reporting

Controls must be technically engineered into Continuous Integration/Continuous Deployment (CI/CD) pipelines, an approach often described as “compliance-as-code.” Supporting infrastructure must generate evidence in a reliable, machine-readable format such as NIST Open Security Controls Assessment Language (OSCAL) or JavaScript Object Notation (JSON) so CSPs, agencies and 3PAOs can share data rather than documents. This approach transforms compliance work from writing narratives and taking screenshots to building monitoring systems that continuously validate control effectiveness.

While artificial intelligence (AI) tools are emerging as assistants, the foundation remains consistent instrumentation and automated evidence collection. Organizations must invest in platforms capable of real-time logging, automated vulnerability scanning, Application Programming Interface (API)-driven evidence collection and continuous control monitoring, moving beyond spreadsheets or basic ticketing systems to true automated Governance, Risk and Compliance (GRC).

Maintaining Security Standards

FedRAMP 20x reduces the barriers to entry for small CSPs. Under the traditional REV 5 model, many providers faced prohibitive costs and timelines, often waiting indefinitely for Joint Authorization Board (JAB) review without agency sponsorship. The 20x pilot eliminates this sponsor requirement and accelerates review: organizations using automation have achieved authorization in six months.

RegScale, FedRAMP 20x blog, embedded image, 2025

RegScale, leveraging its own platform with features like automated evidence collection and AI-assisted control validation, completed its SSP and evidence in approximately three weeks and achieved full authorization within six months of audit start. This acceleration does not weaken security; rather, continuous monitoring and real-time evidence provide greater assurance than annual snapshots.

Another benefit of the 20x approach is that the machine-readable evidence can be reused for other frameworks, enabling a “certify once and comply many” approach across:

  • System and Organization Controls 2 (SOC 2)
  • International Organization for Standardization (ISO) 27001
  • Cloud Security Alliance (CSA) Security, Trust, Assurance and Risk (STAR)

For cloud-native organizations already operating with infrastructure as code (IaC) and automated pipelines, 20x aligns Federal compliance with modern DevSecOps practices.

Cultural and Organizational Change Management

The greatest challenge with FedRAMP 20x is cultural, not technological. Many organizations already possess the necessary tools but continue to rely on manual processes built over 15–20 years. Shifting to automation requires replacing “no hope” environments, where compliance is viewed as endless documentation, with the recognition that more efficient, sustainable operations are both possible and necessary.

Teams must actively retrain themselves to think operationally rather than as checklist validators. The transition also requires breaking down silos between security and compliance teams, agencies and 3PAOs, ensuring all stakeholders rely on the same real-time telemetry instead of debating the meaning of outdated screenshots. Federal agencies must also educate risk owners and embrace new evidence formats and methodologies. Ultimately, this is as much an organizational transformation as a technical one.

Continuous Monitoring and Real-Time Risk Management

FedRAMP 20x redefines relationships between CSPs, agencies and 3PAOs by replacing periodic reviews with continuous monitoring and near real-time risk visibility. Instead of exchanging PDFs, stakeholders share dashboards, datasets and evidence repositories that all parties can access. Auditors can review assessments based on evidence collected minutes or hours ago rather than relying on outdated artifacts.

Continuous monitoring supports 20x by allowing agencies to track configuration drift, Plan of Action and Milestone (POA&M) status and control effectiveness in regular cadences. The definition of “continuous” varies by control type; some require minute-by-minute validation, while policy controls may be quarterly or semi-annual.

For agencies, continuous assurance delivers better risk management capabilities, but only if they invest time in understanding how to interpret machine-readable formats such as OSCAL. Adoption varies, with some agencies already capable while others continue developing this capacity.

Moving Forward with Confidence

FedRAMP 20x is a strategic shift that aligns Federal authorization with modern DevSecOps, delivering faster innovation without reducing security standards. Since launching in March 2025, the pilot has processed 27 submissions and granted 13 authorizations, demonstrating scalability and viability.

With 20x, agencies gain improved risk visibility, reduced vendor timelines and access to innovative cloud solutions previously delayed by lengthy authorizations. However, success is not guaranteed. It requires adopting continuous assurance, investing in platforms that support machine-readable evidence and educating risk owners to interpret dynamic data. CSPs must centralize systems of record, instrument environments for continuous evidence collection and adopt standardized mappings that facilitate automation.  

The organizations that thrive will be those that use FedRAMP 20x as a motivator to replace outdated habits, engineer controls properly and embrace automation as an enhancement, not a replacement, of human expertise.

Discover how FedRAMP 20x is transforming Federal cloud authorization by watching the webinar, “FedRAMP 20x in Motion: What Early Results Mean for Federal Agencies,” featuring insights from RegScale and the CSA.

Carahsoft Technology Corp. 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 RegScale, 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 Carahsoft Blog to learn more about the latest trends in Government technology markets and solutions, as well as Carahsoft’s ecosystem of partner thought-leaders.

From Data Silos to Life-Saving Decisions: How Technology is Transforming Healthcare Delivery

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Healthcare organizations continuously navigate complex challenges as patient demand grows. Imaging volumes are rising faster than radiology capacity can scale. Public health agencies manage vast amounts of data across disconnected systems. Administrative tasks consume time that healthcare staff would rather spend on patient care.

These operational realities create opportunities for technology to make a meaningful difference. Leading healthcare organizations are already transforming these challenges into improved outcomes through strategic technology deployments enabled by streamlined procurement.

As The Trusted IT Solutions Provider for the Healthcare Industry™, Carahsoft offers a robust portfolio of healthcare technology solutions that make positive changes in the quality, safety and effectiveness of healthcare delivery systems. Streamlined procurement is available through Carahsoft’s reseller partners and numerous contract vehicles including GSA Schedule, NASPO ValuePoint, E&I Cooperative Services and The Quilt.

Key Takeaways:

  • AI diagnostics improve radiology efficiently by up to 40% addressing the looming shortage of 42,000 radiologists by 2033.
  • Unified data platforms enable more than 80% of emergency departments to share real-time data with the CDC.
  • Automated workflows cut processing times by 50%, freeing staff for patient care.
  • Zero Trust security protects patient data while enabling hybrid cloud operations.
  • Streamlined procurement accelerates deployment from months to weeks.

AI-Powered Diagnostics: Addressing the Radiology Crisis

By 2023 the U.S. faces a shortage of up to 42,000 radiologists as imaging volumes rise 5% annually while residency positions increase just 2%.

At Northwestern Medicine, Dr. Mozziyar Etemadi, Clinical Director of Advanced Technologies, deployed a generative AI solution with Dell Technologies and NVIDIA that analyzes chest X-rays and generates draft reports instantaneously. Results: radiology efficiency improved by up to 40% without compromising diagnostic accuracy. The system flagged unexpected pneumothorax cases with 72.7% sensitivity and 99.9% specificity – lifesaving in emergency settings.

The technology runs on Dell PowerEdge XE9680 servers with NVIDIA H100 GPUs, deployed on premises to maintain HIPAA compliance. Northwestern is now developing predictive models for entire electronic records.

Public Health Surveillance: Rapid Outbreak Response

The CDC faced a critical challenge: essential health data trapped in disconnected silos across thousands of facilities.

The CDC’s partnership with Cloudera created a unified platform consolidating data from hospitals, laboratories and wastewater testing sites. More than 80% of non-federal emergency departments now send data to CDC, enabling comprehensive threat monitoring. When measles spiked across 15 states in 2025, officials had integrated visualizations within days.

The CDC’s One CDC Data Platform (1CDP), established in 2024, provides state, tribal, local and territorial agencies with streamlined access to core datasets and analytics, enabling faster disease trend detection and proactive strategies.

Accelerating Cancer Research Collaboration

The National Cancer Institute partnered with Google Cloud and Barnacle AI to introduce NanCI – a platform leveraging AI-driven recommendations to connect researchers with collaboration opportunities, literature and events. The solution demonstrates how AI extends beyond clinical care to accelerate scientific discovery across Government, Education and Healthcare sectors.

Operational Excellence: Freeing Caregivers to Care

Workforce coordination: Healthcare organizations use BlackBerry AtHoc, available through Carahsoft’s reseller network and contract vehicles, to streamline staffing and scheduling processes. The event management platform helps ensure personnel are coordinated efficiently across departments which is essential for maintaining high standards of patient care.

Financial automation: Community Health Centers of Florida implemented Laserfiche’s enterprise content management system, cutting processing time by 50% and eliminating manual data entry. “I cannot fathom processing the current volume of invoices ‘the old way,’” said Dee Bradshaw, director of purchasing. “Laserfiche has cut our processing time in half.”

Every hour freed from administrative burdens is an hour caregivers get back to spend with their patients.

Modern, Secure Infrastructure

California Department of State Hospitals deployed Rubrik’s data management platform to integrate legacy systems with modern hybrid cloud environments. Rubrik’s Zero Trust Data Security framework minimized ransomware vulnerability while ensuring Federal compliance.  

St. Luke’s University Healthcare Network used Rubrik for faster backups, near-instant recovery and seamless hybrid IT integration, strengthening cyber defenses while freeing IT staff to support clinical teams.

Federal agencies, State and Local Governments and Education institutions face similar Zero Trust security and hybrid cloud integration requirements.

Explore Carahsoft’s cybersecurity solutions at www.carahsoft.com/solve/cybersecurity.

Meeting Demand at Scale

NYC Health + Hospitals deployed Snowflake’s Data Cloud which consolidated separate data sources into a unified platform. This integration eradicated silos, provided real-time visibility and enabled data-driven decisions at the point of care for vulnerable populations.

The Carahsoft Advantage

For Healthcare Organizations: Faster access to solutions, simplified procurement through pre-negotiated contracts, integrated solutions across technology verticals, dedicated healthcare technology expertise. Simplify your organization’s procurement journey with Carahsoft.

For Reseller Partners: Opportunities to deliver comprehensive solutions, access to leading vendors through established contract vehicles, sales enablement and marketing support. Become a Carahsoft reseller partner.

For Technology Vendors: Expanded reach across Federal, State and Local Government, Education and Healthcare markets, simplified Healthcare sales through hundreds of contract vehicles. Join our partner ecosystem.

Ready to explore healthcare technology solutions?

The Practical Applications of Artificial Intelligence in Government Programs

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A Government’s ability to lead, protect and serve is tied to how boldly it embraces technology. Artificial intelligence (AI) is no longer a distant concept. It’s a force already redefining the way agencies operate, safeguard resources and deliver services. In an era where global competitors are racing ahead with automation and advanced analytics, standing still is not an option. Agencies that adopt AI strategically will not only keep pace but set new standards for effectiveness, transparency and citizen trust.

Key Use Cases for Artificial Intelligence in Government

Across the Public Sector, AI is moving beyond pilot projects into critical programs. Government agencies are weaving AI into their daily operations. They are detecting fraud before it drains budgets, automating compliance that once accounted for many staff hours and analyzing risks too complicated for manual review. The practical applications are real, measurable and growing. What once seemed like gradual innovation is quickly becoming a foundation for modern governance.

Common AI use cases in Government include:

Fraud detection and prevention

The U.S. Government loses between $233 billion and $521 billion a year to fraud. While no agency is immune to fraud, AI is helping the Government fight back. For example:

  • The Treasury Departmentuses machine learning to detect fraud in real time, enabling it to recover over $4 billion in fraudulent funds during fiscal year 2024.
  • The Centers for Medicare & Medicaid Services (CMS)has integrated AI in its fraud prevention system to review claims before payment. Between January and August 2025 alone, it denied over 800,000 fraudulent claims, saving more than $141 million.
  • The IRS uses AI-powered tools, such as the Risk-Based Collection Model, to improve fraud detection and reduce the tax gap.

Compliance reporting

Compliance is time-consuming for agencies, but AI is now automating much of the process. Agencies use AI to monitor real-time data and flag inconsistencies to simplify reporting. With these capabilities, AI enables greater transparency and faster responses to regulatory requirements.

While AI doesn’t replace human oversight, it frees staff to focus on higher-value analysis, cutting the time and costs of compliance. A good example is the Securities and Exchange Commission’s (SEC) use of natural language processing to automate reporting for financial markets. It processes millions of filings and generates compliance reports to improve enforcement efficiency.

Risk management

Government programs face constant risks:

  • Operational
  • Financial
  • Security
  • Environmental
  • Third-party exposure

AI in Government is already helping agencies with minimum risk management practices. For instance, automating third-party risk management with AI-enabled Governance, Risk and Compliance (GRC) platforms helps agencies assess vendor reliability and track compliance to reduce exposure.

Supply chain monitoring

The COVID-19 pandemic revealed the vulnerability of the public supply chain. AI is now helping the Government strengthen resilience with real-time monitoring.

Machine learning models predict bottlenecks to help agencies optimize their logistics. Additionally, enhanced visibility allows policymakers to proactively mitigate third-party risks in the supply chain, as they can monitor vendors and flag vulnerabilities before they escalate.

Policy cycle integration

Public policies move through cycles: setting the agenda, designing solutions, implementing programs and evaluating results. AI has a role at each stage.

Policy cycle stageAI’s roles
Agenda-settingAnalyzes citizen feedback and emerging trends to identify priorities
Solution development Models the likely impact of different policy options
ImplementationAutomates program operations
EvaluationMeasures outcomes against goals

Used thoughtfully, AI makes the policy cycle more evidence-driven and adaptive.

Citizen services

According to a 2024 Salesforce report, 75% of Americans expect Government digital technologies to match the quality of the best private sector organizations. To meet these expectations, U.S. and State Government agencies are using:

  • Chatbots to answer common questions and improve the availability of Government services
  • Digital assistants to provide personalized help and handle more complex inquiries
  • Self-service portals to let citizens complete tasks like renewing licenses on their own

Benefits of Artificial Intelligence in Government

Beyond mere modernization, embracing AI in Government delivers measurable value:

Increased efficiency and productivity

According to a 2023 McKinsey report, generative AI can automate 60%–70% of tasks and add $2.6–4.4 trillion annually to global productivity. Federal and State agencies are using AI to reduce repetitive tasks such as data entry and document reviews to free Government employees’ time for more strategic efforts. This shift in focus raises productivity without adding headcount.

Improved strategy

Insights from AI help policymakers see the bigger picture. Agencies use predictive analytics to forecast outcomes and test scenarios so they can design public policies to prevent undesirable outcomes to begin with, instead of just reacting to them.

Greater responsiveness

AI makes public services more responsive. Examples include agencies using chatbots to answer citizens’ questions and sentiment analysis tools to better listen to community concerns.

Implementation Challenges that Hinder the Strategic Use of AI in Government

While AI is already delivering results in Government agencies, several obstacles hinder its broader adoption.

Skill gaps and training

A 2024 Salesforce survey found that 60% of Public Sector IT professionals say limited AI skill is their top challenge in implementing AI.

Data biases and ethics

AI learns from data that often reflects existing societal inequities, which can perpetuate or even amplify bias.

Data management

Many agencies rely on siloed or outdated systems. In fact, the Federal Government faces a $100 billion legacy IT challenge, making it difficult to integrate and secure data effectively.

Public trust

Government agencies are expected to operate with a high degree of accountability and transparency. Public skepticism, shaped with legitimate concerns about bias and privacy, may stall or derail AI initiatives.

The Way Forward: Building Smarter, Trustworthy Public Programs

The potential of AI in Government is huge, but so are the risks. To enjoy the benefits while protecting public trust, it’s important to follow best practices for managing AI risks:

  • Treat AI as a strategic asset that drives smart, citizen-focused outcomes, rather than just a technical tool.
  • Pair AI with human oversight to address biases and provide context in decision-making, so the outcomes remain fair and ethical.
  • Invest in responsible governance frameworks to guide the development and deployment of AI within your agency.
  • Monitor AI continuously after deployment to address any unintended consequences.

Managing AI in GRC Solutions

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.”

Carahsoft Technology Corp. 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 Red Hat, 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 Carahsoft Blog to learn more about the latest trends in Government technology markets and solutions, as well as Carahsoft’s ecosystem of partner thought-leaders.

Transforming Public Services: A Digital Approach to Efficiency and Trust

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Since the founding of the U.S. Government Accountability Office (GAO) in 1921, efficiency has been a focus of the Federal Government. According to the legislation, the GAO aims to provide “greater economy and efficiency in the conduct of public service” and has been integral in the effort to aid our Government to do more with less. Today, this mission continues with the adoption of modern technologies to expand Government outreach. The adoption of modern technology allows for increases in interactions such as website visits, applications for services and public outreach. The hope is that building on these foundations of new technology will meet and improve public expectations (Pew Research).

Designing Trusted Digital Services

Today’s digital world has brought about a rising set of expectations from the constituents that public agencies work with. People now expect their Public Sector experiences to be on par with their favorite online retailers. This is likely why digital services are a priority of both the “America by Design” Executive Order and State CIOs (NASCIO 2025). To meet these expectations and create trusted services, Government websites need their digital offerings to be intuitive, personalized and responsive to the needs of every user. Making every interaction count is what is important. Everything from the smallest information request to the most complex, multi-year service transactions should be built with the user in mind. These user-centered designs can ensure that agencies construct the kinds of welcoming, trusted experiences that users want.

The potential for citizens to interact with their Governments in the digital space is limitless, and creating personalized content is pivotal to meeting those expectations. Trusted, engaging experiences are built on equal pillars of data, content and meaningful delivery. However, they begin with a modern foundation to meet the demands necessary for true personalization.

Technology and Workforce Modernization

Modernization is about streamlining outdated processes that have long hindered efficiency. Many Government websites still struggle with outdated designs and inconsistent content, yet the website of a Government agency is often the first point of contact for constituents seeking information or services. Therefore, the America by Design EO requires agencies to “prioritize improving websites…that have a major impact on Americans’ everyday lives” (Executive Order). With a well-designed website that is easy to navigate, constituents can quickly find the information that they need.

After agencies inform constituents about services, they must enroll them in the appropriate ones. Enrollment processes have traditionally been slow and time-consuming, often relying on paper-intensive systems. To reduce administrative burdens and improve data collection accuracy, agencies must transition from manual, paper-centric workflows to digital tools. When employees aren’t bogged down by administrative cleanup work, they have more time to work on tasks that make a bigger impact on their agencies’ missions.

This means that modernization is also about enabling the workforce to adapt to this new digital foundation. Efficiency here involves enhancing communication between employees, aligning project tasks with agency goals and providing transparency into this progress. Agencies that foster a culture of collaboration and trust in their workforce will see that workforce more empowered to deliver efficient results that align better with overall goals.

Looking Forward

Today, efficiency has expanded beyond the scope of the GAO itself and has been integrated into nearly every aspect of the Public Sector and how residents think about it. By prioritizing intuitive, personalized and efficient digital services that meet public expectations, agencies can increase trust in our Government.

Check out this on-demand webinar series to learn how Adobe’s digital experience solutions can help your agency modernize public services, digitize internal workflows and accelerate content delivery, while ensuring compliance and protecting sensitive data.

Why CMDBs Alone Aren’t Enough for Effective Asset Management

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Federal agencies rely on Configuration Management Databases (CMDBs) to track and manage their assets. But here’s the challenge: CMDBs depend entirely on the data that gets fed into them.

When discovery tools miss devices, when multiple tools report the same device but with different details, when manual processes slow down or when new virtual environments spin up outside of standard procedures, those assets are either invisible or in conflict in your CMDB.

IT and security teams are forced to turn to manual processes to prevent duplicate or inaccurate CMDB records and update missed asset changes. Yet even then, the system inevitably lags behind the reality of the assets in Federal environments. 

As a result, your inventory becomes incomplete or outdated and creates real risks, from failed audits to unaddressed vulnerabilities to disruptions in critical business operations.

Your Federal team faces a difficult choice. You can spend significant time and resources continually auditing the CMDB, manually joining data from disparate tools to seek out the truth. Or you can accept the risk that comes with low-quality, “dirty” data. Neither option is ideal when you are accountable for meeting Federal security requirements.

Fortunately, there’s a third, and much better option.

How to complement a CMDB with automated, actionable asset intelligence

To get a full picture of your asset landscape, you need to architect your asset data framework so that it continuously updates both itself and your CMDB. This is where the Axonius Asset Cloud platform comes in.

The Axonius Asset Cloud is an actionability platform that addresses the common gaps in CMDBs by automating asset discovery and inventory across the entire IT and security footprint. You get an always-current, comprehensive and accurate inventory of your entire asset ecosystem. Axonius also looks for potential policy violations and helps administrative and security teams in prioritizing configuration and vulnerability response efforts.

The Axonius Asset Cloud natively provides more than 1,200 adapters that connect to and integrate with commonly deployed security and IT tools, including 27 CMDB platforms. These adapters continuously collect information on 40+ types of assets across IT and security, including devices, users, software, vulnerabilities and configurations.

Axonius turns raw, noisy and overlapping data into a complete, accurate and always up-to-date model of your entire environment through the Axonius Asset Intelligence pipeline. The bar we set for the information Axonius serves is decision-grade output. Each stage in this intelligence pipeline solves a specific class of data engineering problems that static inventories, vulnerability scanners, SIEMs and CMDBs struggle to optimize on their own.

The Axonius Intelligence Pipeline

After building this normalized and correlated view of the assets and risks in your environment, Axonius then compares them to what’s in your agency’s CMDB, deletes unwanted or redundant tools from the list and adds any missing assets or metadata to your inventory. You can finally trade hours of data cleanup for decisive moves that secure your systems.

Uncover assets not tracked in your CMDB

Security operations teams benefit from the Axonius Asset Cloud as well. The platform can automatically create remediation tickets whenever it discovers a vulnerability. Operations teams can be alerted immediately and prioritize their response to the tickets based on severity or urgency, confident that they have a clear and complete picture of affected systems, users and devices.

Post-incident, the same reports in the Axonius Asset Cloud give teams confidence that the incident has been fully resolved by confirming that affected systems, applications or user accounts have been successfully and completely remediated.

Supercharging your CMDB with Axonius accomplishes multiple objectives:

  1. Your agency gains a real-time, comprehensive view of all its assets, maximizing your CMDB investment and empowering both IT and Security operations.
  2. You can instantly identify rogue or non-compliant assets and respond to ticket requests within a day.
  3. You can uncover unused or legacy assets that are costing your agency money or putting it at risk.
  4. You significantly reduce manual CMDB upkeep and free up hours for higher-impact work.
Spot conflicting details or missing attributes

Axonius in action: How the platform works with ServiceNow

Let’s take a look at how this works using the ServiceNow CMDB as an example. First, select the configuration items (assets) you want to ingest into ServiceNow. Axonius imports the selected data into ServiceNow via APIs. This allows you to query, visualize and take action on all of the CMDB data imported into the system.

From there, the platform goes to work, scanning assets, creating tickets, updating inventory and removing assets that should not be in the CMDB, all in real-time. You can then generate reports that highlight vulnerability gaps and items that require correction.

Axonius complements CMDBs, such as ServiceNow, by highlighting asset trends and identifying missing devices and fields.

You can use the combination of Axonius and ServiceNow, or other CMDBs, to ensure compliance with FISMA, CISA BOD 23-01 and other relevant standards. The Axonius Asset Cloud platform can pull compliance data from ServiceNow, eliminating the need for manual compliance tracking through the CMDB.

Want to see Axonius in action? Here’s a quick demo by James Flores showing how Axonius improves CMDB coverage.

Leveling up your CMDB

In a time when Government efficiency is under the microscope, agencies need more than a CMDB alone to manage their assets effectively. While CMDBs are valuable for tracking configurations and relationships, relying on them as the sole source of asset information can be time-consuming, impractical and potentially inaccurate. This leads to significant lost hours, unnecessary costs and damaging security vulnerabilities.

The best option—the only option, really—is to complement your CMDB with a solution that gives you instant visibility into its coverage.

The Axonius Asset Cloud allows you to identify gaps, track trends, update CIs and asset data in the CMDB and power incident response teams. It levels up your CMDB to save time, money and your organization from potentially serious security risks.

Learn more at https://www.axonius.com/federal-systems.

Carahsoft Technology Corp. 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 Axonius 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 Carahsoft Blog to learn more about the latest trends in Government technology markets and solutions, as well as Carahsoft’s ecosystem of partner thought-leaders.

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’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. Carahsoft 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 Carahsoft 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!

Carahsoft Technology Corp. 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 Carahsoft Blog to learn more about the latest trends in Government technology markets and solutions, as well as Carahsoft’s ecosystem of partner thought-leaders.