Due to rapid growth and expansion that involved the acquisition of over 10 companies with varying ERP and customer systems in the manufacturing and electrical supply industry, Radwell was faced with a need to integrate disparate data systems to ensure business reporting and analytics continuity across the entire enterprise. With the understanding that full ERP migrations could take multiple years and cost millions of dollars, Radwell sought to take a cloud-first approach to integrated enterprise data that would allow seamless onboarding of data sources, metadata-driven ELT processes, strategic storage and retrieval, a foundation for MLOps maturity, and most importantly, creating a one-stop shop for all business users to access data. Within 9 months, the team stood up the platform, integrated all ERP systems, and successfully deployed its first AI model to support dynamic pricing. A data governance council was formed and the project has led the way in Radwell’s journey to becoming a data and technology-first manufacturing automation supplier. Success was the result of a great team, thoughtful executive-sponsored vision, and trying new approaches to old challenges.

The most noteworthy new approaches involved:

• Metadata-driven ingestion framework to quickly populate the Azure Data Lake with ADF processes
• Flexible cloud-architecture that focused on ML Ops and Databricks
• A robust data services and API mart layer to expose consolidated data to over 75 internal applications
• A design thinking session that launched the Data Governance Council

Speaker: Kevin Love

Kevin Love is the Head of Technology Innovation at Radwell International, leading the company’s Data Science and Engineering team to drive the success of company-wide initiatives through scalable data and AI-backed solutions. Kevin’s team is revolutionizing Radwell’s technology strategy by implementing a centralized data orchestration platform that serves as the backbone of the company’s future state initiatives within data integration, AI/ML, digital transformation, and process improvement.

Prior to Radwell, Kevin was a Technical Product Manager at a Fortune 100 telecom company, driving new product solutions for AI-backed customer experience initiatives. When Kevin isn’t working on innovative data projects, you will most likely find him on the golf course, watching a Phillies game, doing a crossword puzzle, or hunting for deer or ducks. Kevin lives in the Philadelphia area with his wife, Kristen.

Speaker: Peter Carr

Mr. Carr is a CapTech Principal responsible for running the Data Management and Business Intelligence division. Mr. Carr started this division at CapTech in 2005 and has built it to over 80 professionals. With a constant focus on learning and outstanding service delivery, Mr. Carr has over 20 years of data management experience with expertise in data integration solutions. Mr. Carr meets with current and prospective clients, vendors, and industry analysts to discuss current business challenges as well as approaches to solving these challenges. Mr. Carr’s core skills include strategic planning, solution design, data architecture, data integration, and data governance. Prior to joining CapTech, Mr. Carr’s career included work at McKinsey & Company, Exxon Mobil, Informatica, Northrop Grumman Information Technology, and Serco. He even co-founded a China-based start-up company that operated in Shanghai, China. Mr. Carr holds both BS and MS degrees from the University of Virginia.