Tom Mack and Darin Briskman with Imply

Scott MacKenzie hosts an industrial podcast from the IoT Solutions World Congress in Barcelona, featuring Darin and Tom from Imply. Imply specializes in real-time analytics for IoT data, offering a database that integrates data from various sources for end-to-end solutions. They emphasize the importance of collecting and analyzing data in real-time to improve efficiency and decision-making in manufacturing and other industries. They discuss the challenges of dealing with large volumes of data, the need for clean data, and the role of historical data in contextualizing current events. The conversation also touches on the importance of user-relevant data presentation and the evolving landscape of IoT and SCADA systems.

Action Items

• [ ] Reach out to Tom (VP of EMEA at Imply) to learn more about Imply's offerings.
• [ ] Connect with Darin (Imply) on LinkedIn to discuss potential use cases and solutions.
• [ ] Visit Imply's website (imply.io) to download whitepapers and case studies.

Outline

Overview of Imply and IoT Data Analytics

• Darin explains the concept of IoT, emphasizing the importance of data in managing physical assets.
• The discussion highlights the two main challenges: acquiring data and utilizing it effectively.
• Imply focuses on real-time analytics and provides a database designed for IoT, offering an end-to-end solution.
• Scott acknowledges the importance of data and asks for more details about Imply's offerings and partnerships.

Tom's Role and Use Cases

• Tom introduces himself as the VP of EMEA for Imply, responsible for sales and implementations in Europe, the Middle East, and Africa.
• Scott inquires about the use cases and how Imply's solutions can benefit manufacturers.
• Darin elaborates on the importance of real-time data for quality control, supply chain management, and decision-making.
• The discussion includes the need for technical infrastructure to handle streamed data and provide real-time visualization and automated alerts.

Normalizing and Utilizing Data

• Scott asks about normalizing data from multiple vendors and relationships.
• Tom confirms that Imply can handle data from various sources, including IoT devices, climate data, and partner supply chains.
• The importance of understanding and addressing issues in real-time is emphasized to prevent negative impacts on customers and reputation.
• Scott inquires about customization versus standardization, and Tom explains the standardization of data collection and processing methods.

Historical vs. Real-Time Data

• Scott and Darin discuss the importance of real-time data over historical data for decision-making.
• Darin explains that while historical data can provide context, the focus should be on current data to address immediate issues.
• Tom shares examples of clients who had to clean up historical data to make it usable for real-time analysis.
• The discussion highlights the need for fast aggregation and roll-ups to make large volumes of data manageable for human analysis.

IoT and SCADA Systems

• Scott and Darin discuss the evolution of SCADA systems and their role in managing industrial systems.
• Tom explains the history of SCADA systems and their expansion from electrical and water systems to various industrial applications.
• The conversation touches on the importance of data-driven decision-making in the industrial world.
• Tom emphasizes the need for a business-driven approach to data collection and analysis.

Electric Vehicle Chargers and Consumer Data

• Tom shares a case study of Wallbox, a client in Barcelona that uses Imply's solutions for electric vehicle chargers.
• The discussion highlights the importance of real-time data for triaging and resolving issues with EV chargers.
• Scott and Tom discuss the consumer's interest in real-time data, such as charging times and locations.
• The conversation emphasizes the need for relevant and meaningful data presentation to improve user experience.

Data Cleanliness and Relevance

• Scott and Darin discuss the importance of clean data for effective analysis.
• Tom advises focusing on current data rather than historical data for immediate decision-making.
• Tom shares examples of clients who had to clean up historical data to make it usable for real-time analysis.
• The discussion highlights the need for fast aggregation and roll-ups to manage large volumes of data.

Conclusion and Contact Information

• Scott wraps up the conversation by summarizing the importance of data in decision-making.
• Tom and Darin provide their contact information for listeners interested in learning more about Imply.
• Scott encourages listeners to reach out to Tom and Darin and to visit Imply's website for more information.
• The podcast concludes with a reminder to put the IoT Solutions World Congress on next year's calendar and a thank you to the audience.