Take your AI Network Readiness Assessment.
Answer these 8 short questions to identify your network’s AI readiness stage.
You can select “I don’t know” if you are unsure which answer(s) apply to your organization.
Strategy
1. What business outcomes drive your current AI investment?
Select all that apply
This assessment was created with the assistance of AI and validated by humans.
Network Architecture
2. Is your enterprise network architected to support AI traffic?
Select all that apply
This assessment was created with the assistance of AI and validated by humans.
Performance (Latency)
3. In general, what is your tolerance for network latency?
Select all that apply
This assessment was created with the assistance of AI and validated by humans.
Security
4. How do you protect your proprietary data?
Select all that apply
This assessment was created with the assistance of AI and validated by humans.
Edge Coordination
5. Where does your AI decision-making (inferencing) occur?
Select all that apply
This assessment was created with the assistance of AI and validated by humans.
Physical Infrastructure
6. Are your current facilities equipped for the space, power and cooling demands of AI?
Select all that apply
This assessment was created with the assistance of AI and validated by humans.
Scalability
7. How quickly can you increase bandwidth to move massive new AI data sets?
Select all that apply
This assessment was created with the assistance of AI and validated by humans.
Operational Flexibility
8. How does your team manage and optimize your network resources?
Select all that apply
This assessment was created with the assistance of AI and validated by humans.
Your AI Readiness stage
Explorer
- Focus: Foundation & Reliability.
- As an Explorer, you are likely in the "Early Consideration" stage of your AI journey through learning and testing Artificial Intelligence (AI) capabilities on individual computers. You likely are not operating with a formal enterprise-wide AI strategy yet.
- Your efforts may be focused on internal testing. You may experiment with productivity tools and public Large Language Models (LLMs) to figure out how AI fits into your existing workflows.
- Because you may be starting out, your primary focus should be on foundation and reliability. You should ask the critical first question: "What infrastructure do I need to even start with AI?"
- Focus: Efficiency & Strategy.
- As a Pilot, you are currently in the "Early Development" stage of your AI journey. You have successfully proven your early AI concepts through small-scale pilots. You are also running Proofs of Concept (PoCs).
- You are likely operating in a hybrid infrastructure — a mix of on-premises servers and the cloud. You are starting to notice that moving large files is becoming slow and expensive.
- Because your initiatives are growing, your primary focus has shifted to efficiency and strategy. Cloud fees and data transfer costs are beginning to rise. You are asking the critical question: "How can I make my initial AI projects perform better, be more secure and still be economical?"
- Focus: Performance & Latency.
- As a Deployer, you may be in the "Scaling and Production" stage of your AI journey. You are likely transitioning your AI models out of the testing phase. You may even rely heavily on the public cloud to run production-grade AI applications.
- As you experience fast growth, rigid service tier contracts could become a significant pain point. At this stage, your primary focus should be on performance, low latency and security. You may be asking: "What options are available that allow me the flexibility to scale my AI initiatives efficiently and securely in production?"
- Focus: Scale & Automation.
- As an Optimizer, you likely have reached a "Mature" stage in your AI journey. You may be innovating at a massive scale. You likely use AI heavily across your entire company to automate workflows.
- You may also drive real-time decision-making and create new business models. Your data consumption could be experiencing exponential growth with your AI decision-making highly distributed at the edge. Your primary focus is likely on massive scale and automation.
- As the need to move massive amounts of data constantly and without limits grows, you may be asking: "How can I maintain my competitive edge and innovate further with AI infrastructure?"
This assessment was created with the assistance of AI and validated by humans.
Contact details
To access your full results—and learn how Verizon AI Connect can help you navigate every stage of your AI journey please provide your information below.
Fill out all required fields, including the confirmation checkbox.
Your AI Readiness stage
Explorer
Your AI network readiness profile: The Explorer
As an Explorer, you are likely in the "Early Consideration" stage of your AI journey through learning and testing Artificial Intelligence (AI) capabilities on individual computers. You likely are not operating with a formal enterprise-wide AI strategy yet.
Your efforts may be focused on internal testing. You may experiment with productivity tools and public Large Language Models (LLMs) to figure out how AI fits into your existing workflows.
Because you may be starting out, your primary focus should be on foundation and reliability. You should ask the critical first question: "What infrastructure do I need to even start with AI?" Asking this question could help you to identify your organization’s baseline requirements. It is important to establish a secure internet foundation equipped with basic network capabilities. This could let you test your ideas without overspending.
How Verizon AI Connect sets you up for success
With a portfolio of solutions, Verizon AI Connect can help you run your AI workloads at scale.
Verizon AI Connect offers the flexibility to grow at your own pace through:
- Access to expanding AI-ready colocation data centers across the US. This can help address the space, power and high-density cooling challenges of AI.
- High-capacity metro fiber networks required for reliable connectivity.
- End-to-end data protection, multilayer governance and private connectivity.
- Self-service portal and APIs to provision connections in minutes to scale bandwidth up and down in near real time.
As an Explorer, your current focus is likely on establishing a secure foundation for your initial AI testing. Building the right base now will make future growth much easier.
Verizon AI Connect can help you implement the secure foundation you are looking for. We provide the secure connectivity, space and power needed to test your ideas. Connect with a Verizon expert today to discuss how we can help as you explore AI for your organization.
Pilot
Your AI network readiness profile: The Pilot
As a Pilot, you are currently in the "Early Development" stage of your AI journey. You have successfully proven your early AI concepts through small-scale pilots. You are also running Proofs of Concept (PoCs).
You are likely operating in a hybrid infrastructure — a mix of on-premises servers and the cloud. You are starting to notice that moving large files is becoming slow and expensive.
Because your initiatives are growing, your primary focus has shifted to efficiency and strategy. You are asking the critical question: "How can I make my initial AI projects perform better, be more secure and still be economical?" You need to optimize your initial data transfers. You must find ways to handle more data for less money.
How Verizon AI Connect sets you up for success
The various solutions in Verizon AI Connect can help you overcome infrastructure bottlenecks through:
- Effective data transfer: Stop relying on slow standard internet routing. Instead high-capacity bandwidth is needed to move large data sets efficiently.
- Scalable facilities: Your current building may struggle to handle the extra heat and electricity. Verizon offers data center and colocation services. This gives you the space, power, and cooling you need.
At the Pilot stage, you may have successfully proven your early concepts. You may be shifting your focus toward efficiency, cost control, and optimizing your data transfers. Optimizing your infrastructure can set you up for a smooth transition into production.
Verizon AI Connect includes a variety of solutions that provide the high-capacity bandwidth and scalable facilities you may need at this stage. Reach out to Verizon today to discover how we can help you streamline your infrastructure.
Deployer
Your AI network readiness profile: The Deployer
As a Deployer, you may be in the "Scaling and Production" stage of your AI journey. You are likely transitioning your AI models out of the testing phase. You may even rely heavily on the public cloud to run production-grade AI applications.
As you experience fast growth, rigid service tier contracts could become a significant pain point. At this stage, your primary focus should be on performance, low latency and security. You may be asking: "What flexible options are available that allow me to scale my AI initiatives efficiently and securely in production?" Massive data requires high-capacity bandwidth, advanced security for deployed systems and the ability to minimize delays.
How Verizon AI Connect sets you up for success
Verizon AI Connect contains a variety of solutions that can provide the ultra-reliable performance and protection you need through:
- Ultra-low latency via edge computing that moves the processing power closer to where your data is created. This can ensure the fast speeds required for your production models.
- Enterprise-grade security that protects your proprietary data from public internet threats. Verizon offers multilayer governance and private network connectivity.
As a Deployer, you may be transitioning mission-critical AI into production. This would make performance, low latency, and robust security some of your top priorities. Reaching this stage is a major milestone. It is vital that your network doesn't become a bottleneck as you scale.
Our Verizon AI Connect solutions can deliver the ultra-low latency edge computing and private security needed to run AI workloads at scale. Connect with our Verizon team to ensure your production infrastructure is fully equipped.
Optimizer
Your AI network readiness profile: The Optimizer
As an Optimizer, you likely have reached a "Mature" stage in your AI journey. You may be innovating at a massive scale. You likely use AI heavily across your entire company to automate workflows.
You may also drive real-time decision-making and create new business models. Your data consumption could be experiencing exponential growth with your AI decision-making highly distributed at the edge. Your primary focus is likely on massive scale and automation.
As the need to move massive amounts of data constantly and without limits grows, you may be asking: "How can I maintain my competitive edge and innovate further with AI infrastructure?" That’s right where we may be able to help.
How Verizon AI Connect sets you up for success
Verizon AI Connect offers flexibility and high-performance solutions so your organization can:
- Move away from manual network tickets. Use software-defined tools and self-service APIs. This would allow you to scale bandwidth up or down in near real time.
- Utilize high-speed dedicated connections to ensure ultra-low latency for your mission-critical synchronized GPU clusters.
As an Optimizer, you are likely pushing the absolute limits of AI innovation. You may require massive scale and automation to handle exponential growth. Maintaining that competitive advantage requires a dynamic network.
Our Verizon AI Connect solutions can help you discover the network infrastructure that’s right for your AI efforts. You can control your resources in real time. Connect with a Verizon specialist today to explore how to co-innovate and future-proof your most advanced AI operations.
This assessment was created with the assistance of AI and validated by humans.