Using Vision Systems to Enable Dynamic Workflows in Manufacturing

Paul Turner leads Stanley Black & Decker’s global strategy for I4.0 applications and analytics. He has 30 years of experience in the field of developing and applying AI and machine learning capabilities to manufacturing processes with over 40 publications in the field that includes academic journals, industry white papers and intellectual property patents. Paul’s AI inventions for the closed-loop control of safety-critical systems are deployed on hundreds of assets globally and he has worked with dozens of manufacturers in oil and gas, chemicals, pharmaceuticals, discrete industrials, hi-tech and steel industries on their I4.0 journeys. Paul has a PhD in Manufacturing Analytics and an MBA from Alliance Manchester Business School in the UK.

Laila is an investor, serial entrepreneur and Fortune 100 trained executive who enjoys working with fast-growing technology companies. As a Techstars Managing Director, she works in partnership with Stanley Black & Decker on an accelerator, investing in startups building artificial intelligence solutions for advanced manufacturing. In the 12 years leading up to this role, Laila founded and led a range of start-ups from communications technology spin-outs out of Caltech and MIT to innovative mobile and SaaS companies in retail and sustainability. She has strong operational and technology innovation training from her tenure at Intel Capital, Intel’s venture capital arm. Laila was an investor and group manager during Intel Capital’s formative years, investing in early enabling technologies such as RIM (the first mobile email provider) and in Red Hat and VA Linux (early leaders in the Linux/Open Source market). While at Intel, she was also part of the executive team that launched Itanium microprocessor family; her formation of the Intel 64 Fund provided the basis for a Harvard Business School case study. Laila has a BA with Honors from Wellesley College.