Artificial Intelligence

  • Expertises

When you modernize facilities by adding connected systems, machines and objects, your data grows—exponentially. This creates major opportunities—and serious challenges—for industrial companies. How do you extract value from raw data and use these insights to inform decisions, increase productivity and boost efficiency? Some companies instantly embraced artificial intelligence and are already benefiting from this technology. But others are still dragging their feet, reluctant to join the Industry 4.0 movement.

Are you leveraging artificial intelligence yet? Talk to our experts if you’re curious about the benefits of AI. We can help you understand your options and choose the right solutions for your business needs.

Artificial Intelligence

  1. Benefits for your company

    01 Reduced operating costs
    With fewer unplanned shutdowns and longer asset lifespans
    02 Increased productivity
    With optimized production lines and operational activities
    03 Lower maintenance costs
    With targeted interventions, you only maintain the assets that need
    04 Informed decisions
    With insights from your data, you can make decisions with confidence and build a strategic vision
    05 A sharper competitive edge
    With a stronger understanding of customer needs and expectations
  1. BBA's approach: making innovation purposeful

    Artificial intelligence and advanced data analytics solutions are only valuable if they address a specific operational need. And investments should deliver returns as quickly as possible. To make this happen, our technology team will perform a broad analysis of your operations and assess key metrics before issuing recommendations.

    We combine a solid understanding of digital transformation with engineering expertise to deliver innovative solutions that are tailored to your unique operational reality. Not only that, but we keep clients involved at every step. Our goal is to help you become self-sufficient with your technology and get the most from your digital transformation.

  2. We can help you with:

    • Help your teams access your data with ease. This starts with gaining a better understanding of how information can be acquired, stored and structured. Then you need to centralize data in a single structure, such as a data warehouse, to make it available to your people.

      We can support you throughout this important step in the data lifecycle with services that include:

      • Audit of data acquisition and storage infrastructures
      • Audit of existing data, assessment of their quality and robustness
      • Recommendations for efficient use of data across the organization
      • Collection, analysis and interpretations of all complex data (big data)
      • Implementation of a structure to automate corporate processes, standardize data and make it easy to access within the organization
    • Increase productivity and reduce operating costs. It’s possible, if you can draw insights from your data—and that’s the hard part. Interactive visualization and automated reporting solutions can pull up key performance indicators, giving you a clear overview of your operations and a real-time snapshot of your activities.

      We can support you throughout this important step in the data lifecycle with services that include:

      • Development of interactive data visualization tools: Power BI, Grafana, PI Vision, etc.
      • Creation of reports for an in-depth system view
      • Definition and programming of key performance indicators (KPIs): productivity, efficiency, capacity, quality, profitability, etc.
      • Implementation of real-time operational monitoring measures
      • Development of alerts and automated informational emails
    • Get artificial intelligence working for you. You need advanced data analysis tools and platforms to develop effective AI models, like those for machine learning and deep learning. The right models lead to reliable predictions and insights for streamlining your operations.

      We can support you throughout this important step in the data lifecycle with services that include:

      • Operational process optimization
      • Advanced data analysis (descriptive, predictive, prescriptive)
      • Digital diagnostics (Industry 4.0, maturity level assessments)
      • Advanced data management platform selection and integration
      • Forecasting model design, implementation and deployment
      • Anomaly detection
      • Predictive asset maintenance
  3. Getting started with AI

    Ready to put artificial intelligence to work for your business, but unsure about how to get started? Consider our AI Jumpstart Program. Over 3 to 4 weeks, the program will help you see where your organization stands in terms of artificial intelligence. You’ll also come away with a clear roadmap on how to achieve your goals and maximize your return on investment as quickly as possible. Contact us to find out more.

    Groundwork

    We’ll start with a 1-hour conference call to explain the key steps of a successful AI implementation project. We’ll also provide a first block of training to the project lead from your team.

    Training and discussion

    We’ll provide a three-hour workshop that includes a 60-minute overview of key AI concepts. Then our experts will talk to you about the smartest way for your business to get started with AI. We’ll look to tackle a well-defined operational need with a solution that pays for itself quickly.

    Analysis and recommendations

    We’ll provide a three-hour workshop that includes a 60-minute overview of key AI concepts. Then our experts will talk to you about the smartest way for your business to get started with AI. We’ll look to tackle a well-defined operational need with a solution that pays for itself quickly.

    Optional step: Proof of concept

    Even though a proof of concept is optional, it’s often useful for convincing your organization to invest in artificial intelligence. This step aims to help get your idea off the ground by developing a proof of concept that uses a sample of your actual data.

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