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10 Steps to Incorporate Artificial Intelligence in your Business

Ready to Integrate AI into Your Business but not Sure Where to Start?
Our Expert Team Will Guide You Through This Process.
  1. 1
    Get Familiar With AI by Looking at Relevant Use Cases for Your Business

    Our experts can assist you to identify which use cases best match your organization and desired solutions. Then recreate a successful, already proven method.

  2. 2
    Identify the Challenges You Want AI to Solve
    • Automating and improving complex analytical tasks
    • Analyzing data in real-time, adjusting its behavior with minimal need for supervision
    • Improving data ingestion, cleanliness and management
    • Increasing workflows efficiency and solving performance issues at scale
    • Preventing Cyber Security issues
    • Reducing Energy Costs
    • Developing smarter products or services

    Our experts can help you identify infrastructure deficiencies and business problems that we can help alleviate.

  3. 3
    Prioritize Concrete Value

    Next, you need to assess the potential business and financial value of the various possible AI implementations you’ve identified. Tie your initiatives directly to business value.

  4. 4
    Acknowledge the Internal Capability Gap

    Do you have the talented resources to achieve what you want to accomplish in a given time frame? Addressing your internal capability gap means identifying what you need to acquire and any processes that need to be internally evolved before you get going.

  5. 5
    Bring In Experts and Set Up a Pilot Project

    Whether you need a DGX station or a DGX-2, we can accelerate your project with a certified optimal build and an installation anywhere in Canada. Our experts can assist you by choosing and integrating the perfect NVIDIA DGX system to suit your needs. We even got a demo program.

    Now that your business is ready from an organizational and tech standpoint, then it’s time to start building and integrating. You can start with a 2-3 months pilot project managed by a small team of 5 internal and external people. After the pilot period is done, you’ll have more information to decide is a more elaborated project or is the value proposition makes sense for your business.

  6. 6
    Gather a Team Responsible of Integrating Data

    The more data you have, the better. New deep learning networks depend on it, and complex models need more data than simple ones. But clean data will make a much better job.

    Therefore, an important step to obtain high-quality data would be to form a cross-business unit taskforce to integrate different data sets together and put out inconsistencies.

  7. 7
    Start With a Small Data Sample

    It’s gonna be more efficient to choose a specific problem you want to solve, focus the AI to answer that specific question and don’t throw all the data at it.

  8. 8
    Don’t Forget to Plan Your Data Storage Needs

    With the DGX Systems, you don’t have to worry at all even with huge volumes of data. DGX systems include fast and optimized storage that are conceived to ingest huge amount of data.

  9. 9
    Get Support from The Entire Team

    Some team members may be concerned about the arrival of AI. Be transparent about the issues targeted to be resolved. If they can visualize how AI is gonna help them, they’ll be more receptive.

  10. 10
    Don’t Forget the Overall Aspects of Your Project

    Build the entire system with balance. While it’s important to design your AI system about achieving its desired goals, don’t forget to get expertise that understands the requirements and limitations of the hardware and software that would support the research.

    Our experts will advise you regarding the bandwidth for storage, the graphics processing unit (GPU), networking and security. They will guide you to build with flexibility to allow repurposing of hardware as your users requirements will change.


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We are Elite Partner certified in the NVIDIA DGX, NVIDIA Quadro® and NVIDIA® Tesla® competencies.


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Delivered Ready to Run Frameworks & Workflows.
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Mario Duquet
Senior account manager & AI

514 934-3209