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AI and machine learning

As businesses continue to generate, store, and analyze mountains of data, Artificial Intelligence (AI) and Machine Learning (ML) play increasingly strategic roles. Insight builds, validates, refines, and manages the intelligent data models — and supporting infrastructure — to capture the value of your data and drive business outcomes.

Meet modern demands with modern solutions.

Today, there are countless AI and ML solutions that businesses are using to gain an edge over the competition. Customer service chatbots are driving sales and customer loyalty, AI-powered machines are enabling more accurate healthcare diagnostics, and robo-managers are trimming portfolio management fees. But to realize lasting success with AI initiatives, you need a holistic approach — one that considers critical, and often difficult-to-answer, questions, such as:

  • How will our solution impact various lines of business?
  • Can the solution scale? If so, how?
  • How will we minimize silos, drift, and unnecessary costs?
  • Does our AI initiative solve for the long term? Do we have the ability to build an AI center of excellence that will grow an AI practice over time?  

From strategy and use case development to data infrastructure, platform, and process modernization and management, Insight is an experienced partner helping organizations make data and AI a central part of business strategy.

Hesitations on your path to AI? Asking questions is the best way to start.

Watch this video to learn more about the questions to ask on your AI journey.

Micromodeling Use Cases and Efficient Implementation

Throwing more data at a machine learning model isn’t always the way to improve it. Learn the value of partitioning your dataset and building simpler models on each piece — and when this approach is most effective — in our expert-led session from The AI Summit New York 2021.

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Get ahead with generative AI.

Adopt AI fast for a bigger competitive advantage with Insight for generative AI. Natural language processing models plus advanced ML make for easily adoptable solutions like ChatGPT with the power to accelerate success and drive high-value outputs across every role in every line of business.

Explore generative AI with Insight.

Why Insight?

No matter the platform, datasets, architecture, or approach, Insight has deep expertise in helping organizations take advantage of AI and ML to transform the business.

Decades of experience

More than 30 years of technology service delivery informs our assessments, consultations, and service delivery.

Strategic AI expertise

Get expert help aligning key stakeholders around AI strategies, as well as use cases that deliver on key business objectives.

Rapid results

Partner with us for an accelerator to supercharge your AI maturity, or test and validate AI and ML models in our lab.

End-to-end implementation

Execute new strategies seamlessly with proven methodologies spanning deployment, migration, industry-leading managed services, and more.


Learn how Insight’s approach to enabling data and AI with ML can help you capture opportunity — read the solution brief.

Take the AI journey with Insight.

AI implementation is a journey. And, while each organization’s strategy will differ based on needs and use cases, the overall approach to adoption consists of standard phases that Insight is deeply familiar with.

With Insight, you have a partner for navigating each phase of the AI journey. We’ll help you develop your strategy, drive operational efficiencies, scale seamlessly, and accelerate time to value.

Watch the video to learn more.

Phases of the AI Journey

AI CoE Accelerator

Take a definitive step toward maturing your AI practice — and cementing your stance as a competitive business poised for future success.

Insight’s AI Center of Excellence (CoE) Accelerator is a comprehensive, 12-week engagement in which you get to partner with our sought-after data scientists, solution architects, and consultants. Together, we'll:

  • Assess your AI development program.
  • Perform use case triage to determine opportunities that can yield the highest return.
  • Evaluate your platform and provide recommendations for enhancements.
  • Define a roadmap for process improvement.
  • Take one high-value AI opportunity from envisioning to production.

Want to learn more? Explore the AI Center of Excellence's best practices for taking your AI to the next level in this infographic.

MLOps Accelerator

If your organization already has a good handle on data science but is struggling to get ML models operationalized and in front of end users, this one’s for you.

The MLOps Accelerator helps you reduce friction and cost in delivering AI over the course of six weeks. Our experts work shoulder to shoulder with your stakeholders to build a sustainable and actionable framework around your model building. This may include:

  • CI/CD and DevOps enhancements
  • Deployment to edge environments
  • Organizational Change Management (OCM) to address shifts that may need to happen across people and processes

Find out more by contacting us directly.

Build it beyond the whiteboard.

On your AI journey, testing out ideas in real-world scenarios — with advanced tools and practiced consultants — is a game changer. The AI Proof of Concept Lab in Insight’s Research & Innovation Hubs is a one-of-a-kind facility that supports your path to innovation.

Leverage the lab to:

  • Pilot AI and ML models with your own datasets.
  • Test and validate infrastructure from NVIDIA, NetApp, Pure Storage, Cisco, Dell Technologies, and HPE.
  • Determine the optimal technology stack to meet your needs.
  • Collaborate with Insight’s data, AI, and ML experts.

The lab gives you access to:

  • NVIDIA-powered Cisco, HPE, Pure AIRI, NetApp ONTAP AI, and Dell Isilon ready compute platforms
  • Converged infrastructure systems and reference architectures
  • Other building blocks for testing, designing, and deploying complete deep learning technology stacks

Foundations for a strategic approach to AI/ML

Insight can be your guide on the AI and ML journey. With deep expertise and capabilities, we can guide you with best practices and governance considerations. Watch this video to learn about the differences between AI and ML, and how Insight provides value to partners through knowledge and speed to production.

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The Data Dichotomy: Practical Approaches to AI Initiatives

Ready to embrace AI? Watch this video from Insight experts to discover practical frameworks for reducing data friction on your path to business innovation.

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Best Strategies for Building AI Infrastructure

In this infographic, learn about top concerns, common challenges and expert strategies for building AI infrastructure.

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Accelerate your AI and machine learning journey with Insight.