Webinar Unlocking OT Data for AI & Analytics: Insight’s Data Rescue
August, 26, 2026 | 12 p.m. ET/9 a.m. PT
By Insight Editor / 26 Aug 2026 / Topics: Artificial Intelligence (AI) , Cloud , Data protection
Legacy systems, fragmented applications, and siloed data sources make it difficult to access and analyze OT data at scale. Insight's OT Data Rescue solution changes that.
Join Insight on August 26, 2026, at 12:00 p.m. ET / 9:00 a.m. PT for a 45-minute session on modernizing operational data. Discover how mining and manufacturing organizations can drive new value through analytics and AI.
You’ll gain a clear understanding of how to integrate systems, build modern data pipelines, and support use cases ranging from dashboards and reporting to AI/ML-driven insights.
Agenda
- Introduction & industry challenges:
Understanding the barriers to accessing and leveraging OT data across industrial environments - OT Data Rescue solution overview:
How Insight enables secure data ingestion, integration, and analytics at scale - Use cases & outcomes:
Real-world examples including dashboards, analytics pipelines, and AI/ML use cases - Next steps & Q&A:
Key actions to begin unlocking value from your OT data
See how leading organizations are transforming operational data into actionable insights — register today.
Presented by:
Dan Kronstal
Principal Architect, Insight Canada
Dan Kronstal is a principal architect with Insight Canada who helps organizations modernize their data and AI capabilities to drive business outcomes. He specializes in cloud-native data platforms, advanced analytics, and AI-enabled solutions using technologies such as AWS, Azure, Microsoft Fabric, Power BI, Amazon Bedrock, Amazon SageMaker, and Azure AI Foundry. Dan has led advisory and implementation engagements across energy, mining, transportation, healthcare, and logistics, helping clients turn complex data into actionable insights and scalable solutions.
Scott Yaworski
Data & AI Lead, Insight Canada
Scott Yaworski is the manager of data and AI at Insight Canada, where he helps organizations maximize the value of modern data, analytics, and AI platforms. With expertise in solution strategy, technical leadership, and client engagement, he works closely with clients to align technology investments with business goals. Scott collaborates with consulting, architecture, and delivery teams to design and implement cloud, data, and AI solutions that accelerate digital initiatives, improve decision-making, and deliver measurable business outcomes.
