NTC  Insights

  • SPOTLIGHT

From Tactical Need to Enterprise Capability: Building Apps Fast, Secure, and JWCC-Ready

Transition GenAI prototypes from initial "vibe coding" concepts into mission-ready military applications. While AI tools significantly accelerate the development cycle, speed is secondary to trust, and requires a rigorous promotion path to address security, data sensitivity, and operational guardrails.
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How GenAI Cloud Services Are Transforming Government and Military Operations

Digital Engineering for AI breaks down complexity and product risk by increased visibility, traceability, and digital thread provenance from concept to retirement.
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Digital Engineering Tools for Efficient AI Development

  • NEXT TALKS RADIO

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The Future of Military Logistics: AI, Data Models, and Emerging Technologies
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Demystifying Quantum Computing
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  • DATA MANAGEMENT SERIES
  • Article

From Tactical Need to Enterprise Capability: Building Apps Fast, Secure, and JWCC-Ready

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Cloud-Agnostic Data Management Solutions 

In this article, NT Concepts digs below the hype cycles and buzzwords to understand the challenges of effectively using data and protecting access to it.
  • Article

Cloud-Native Data Management Solutions

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  • Article

From Tactical Need to Enterprise Capability: Building Apps Fast, Secure, and JWCC-Ready

  • Article

How GenAI Cloud Services Are Transforming Government and Military Operations

NEXT TALKS RADIO

EPISODE 2

The Future of Military Logistics: AI, Data Models, and Emerging Technologies
EPISODE 2

NEXT TALKS RADIO

EPISODE 1

Demystifying Quantum Computing
EPISODE 1
Digital Engineering for AI breaks down complexity and product risk by increased visibility, traceability, and digital thread provenance from concept to retirement.
  • Article

Digital Engineering Tools for Efficient AI Development

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  • Article

How to collaborate in a dynamic mission development environment

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  • Article

Cloud-Agnostic Data Management Solutions 

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  • Article

Harden cybersecurity through process improvement

In this article, NT Concepts digs below the hype cycles and buzzwords to understand the challenges of effectively using data and protecting access to it.
  • Article

Cloud-Native Data Management Solutions

To be truly data-driven, government agencies must adopt a data management cloud design pattern such as a data fabric, a data hub, or a data mesh.
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Data Management Cloud Design Patterns for Cloud Ecosystems

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  • Article

Unlocking the Black Box

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Let’s Bring More Veterans into Tech

Using the ARC method to express data readiness can help agencies on their journey towards digital transformation and machine learning operations.
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How to Talk Data Readiness

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Sourcing Artificial Intelligence from Industry: What’s Real [and What Isn’t]?

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Developing AI/ML-enabling Ecosystems

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  • Article

Begin with the end in mind: How to achieve Section 508 success

By leveraging ML-optimized edge devices, models can process data anywhere, anytime, at mission speed.
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Machine Learning at the Tactical Edge

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A Viable Solution to Acquiring, Wrangling, and Readying Data

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For Students, the Internship Program at NT Concepts is What’s Next

While the COVID-19 work-from-home situation presents distinct challenges, it also offers the opportunity to evaluate norms and think critically about Agile Ceremonies.
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Conducting Successful Agile Ceremonies in a Remote Work Environment

The DesignOps process is significant to the lifecycle of developing modern, user-centric applications that meet ever-growing and evolving mission needs.
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Build Modern Mission Solutions Faster with DesignOps

With DevSecOps, agencies can achieve the agility, speed, quality & security required in today’s dynamic mission landscape
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Bake Security into Your Solutions

Our NEXTOpsâ„  Framework (DevSecOps, DataOps, MLOps) streamlines and scales to keep things modern and eliminate technical debt
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Bring Speed to Solution with Automated and Integrated Operations

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Take an Iterative Approach to Digital Transformation

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DataOps, the Pursuit of Simplicity

To achieve maximum value of machine learning at an enterprise level, all your machine learning and DevSecOps pipelines of data need to converge into one MLOps pipeline
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Your Piecemeal Approach to Machine Learning is All Wrong

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Clear Organizational Need and Process are Vital to RPA Success

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Digital Transformation and Telework are Improving the Workforce

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Case Study: Digital Transformation Eliminates Inefficiency and Waste

Avoid costly downtime and to extend the life of mission assets with Machine Learning and Prognostics Health Management
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Mission Readiness with Machine Learning and PHM: Failure is not an Option

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