Using Big-Data and AI to Accelerate Specialty Chemicals Product Development

Time & Location

Thursday: 13.30 to 13.45, Stage 4


Jun LiuSenior Marketing Manager - Revvity Signals Software

About this presentation

The specialty chemical industry faces numerous challenges in the new product development (NPD) process, ranging from resource-intensive research to complex formulation optimizations. Artificial Intelligence (AI) emerges as a transformative toolbox, offering unprecedented opportunities for innovation and efficiency. AI-driven algorithms can expedite the identification of novel compounds by analyzing vast datasets, accelerating the discovery phase. In formulation, machine learning models enable predictive analytics, optimizing ingredient combinations for enhanced performance and cost-effectiveness. Moreover, AI enhances process control, ensuring consistency in production and minimizing waste. Collaborative AI platforms facilitate seamless communication among multidisciplinary teams, streamlining decision-making processes. As a result, AI not only expedites time-to-market for new specialty chemicals but also significantly reduces R&D costs. In this presentation, the presenter will explore AI in the context of NPD process and explain why embracingĀ AI promises a paradigm shift, fostering innovation, sustainability, and competitiveness in an ever-evolving market.

Speaker Bio:

Jun Liu is a Senior Marketing Manager responsible for Industrial Chemistry segment marketing activities at Revvity Signals Inc. Jun has over 10 years of marketing and business development experience in the Specialty Chemical industry and worked as a software engineer in the semi-conductor industry. He has an MBA degree and an MS in Electrical Engineering from the University of Texas at Austin, also holds a BS in Computer Engineering from Michigan Technology University.