Dr. Gilad Langer is an accomplished business leader with 28+ years of experience in digital transformation, manufacturing IT, engineering services delivery, and technical operations. He has deep domain expertise in Digital Technologies and Manufacturing Business Systems (IIoT, Big Data, AI, MES, MI, PLM, QMS, DCS, & SCADA). He has an accomplished track record of Digital Transformation to drive high levels of operational performance in manufacturing industries with a specific focus in the regulated Life Sciences industries (pharma, biotech, & med device). He has also served as trusted adviser and business consultant in the areas of technology directions, industry strategy, and software implementations. His focus and passion is next generation (Pharma 4.0) digital technologies and IIoT for manufacturing. Dr. Langer started his career in academia, researching concepts and architectures for agile manufacturing systems using novel concepts that were the archetype for Industry 4.0 and Industrial IoT. He takes a systematic and strategic approach that he has honed throughout his career in different roles including consulting, sales, marketing, product strategy, project management, software development and implementation, and research.

Tulip, the leader in frontline operations, is empowering the world’s leading companies to improve the productivity of their teams, the quality of their output, and the efficiency of their operations. Companies use Tulip to digitally transform their operations and gain real-time visibility into the people, machines and processes involved in production—all in a matter of days. Companies of all sizes, across industries including consumer electronics, pharmaceuticals, aerospace and defense, contract manufacturing, automotive, apparel, medical devices and more, have implemented Tulip’s intuitive software and hardware platform to solve some of the most pressing challenges in frontline operations. Companies use Tulip to error-proof processes with guided workflows, integrate industrial IoT (IIoT) technologies with legacy machines, and capture and analyze real-time operations data.