AI Industrial Analytics 2-Day Feasibility Workshop

Our AI-driven Industrial Analytics is an advanced analytics solution designed to empower manufacturing companies on their journey toward digital transformation. Leveraging predictive models, self-service Machine Learning, Microsoft Azure Cloud, and data from all manufacturers’ machinery, our solution provides three essential features:

1. Predictive Maintenance - Anticipate resource failures, optimize maintenance schedules, and minimize downtime proactively.
2. Anomaly Detection - Real-time identification of anomalies prompts immediate action, enhancing efficiency and mitigating issues..
3. Predictive Quality and Process Optimization - Gain insights into production quality and optimize manufacturing processes in real-time.

Industrial Analytics is the key to unlocking the full potential of industrial operations, allowing you to stay ahead of the competition in today’s dynamic business landscape.

Our solution is tailored to your industry needs, supporting business outcomes, addressing issues before they escalate, optimizing production processes, and improving overall efficiency.

An important step in validating whether your manufacturing organization is ready for the AI revolution is conducting a Feasibility Study. This study assesses your existing data sources, the completeness and quality of your data, the existence of correlations that could be exploited for applying machine learning techniques in a given business context, and finally, the calculation of ROI.

If you’re curious about how our industrial analytics solutions translate into real-world digital transformation and you want to assess whether your organization is ready for it, consider exploring our AI Industrial Analytics 2-Day Feasibility Workshop. It’s a low-risk way to experience the benefits without diving too deep.

Our AI Industrial Analytics 2-Day Feasibility Workshop includes:

• Demo of AI Industrial Analytics solution
• Business analysis and use case definition
• Data sources identification and initial assessment
• Brief exploratory data analysis to identify existing correlations
• Q&A session with industrial AI experts

After the workshops, our Industrial Data Scientists spent approximately 2 weeks performing an in-depth analysis of the provided data and implementing the PoV of the Machine Learning Model that solves the use case defined during the workshops.

Finally, you receive the Final Report that summarizes the workshops and in-depth data analysis, containing:

• Executive summary
• Data overview (data model, details of data preparation)
• Exploratory Data Analysis and Features Engineering
• Predictive Modeling (details of created machine learning model)
• Gap Analysis and Recommendations
• Azure-based architecture for implementing MVP based on the results of the workshops

Technology we use:

• Azure IoT Hub
• Azure Stream Analytics
• Azure Data Factory
• Azure Synapse
• Azure Databricks
• Azure Machine Learning
• Azure Data Lake
• Azure SQL
• Microsoft Power BI

After the 2-Day Feasibility Workshop, you will gain a deeper knowledge of AI-based Industrial Analytics Solution capabilities, how it can answer your needs, ROI calculation for investing in such AI-based solution, and in-depth analysis of your existing data with POV of machine learning model that solves selected business pain.

Price is estimated, and additional costs like on-site setup, transport, and accommodation of our experts are not included.