Senior Vice President and Chief Marketing Officer, Aspen Technology, Inc.
Lawrence joined AspenTech in 2018 and brings more than 20 years of experience building world-class marketing organizations for growing companies.
Most recently, he served as CMO at SoftwareONE, a $7B software and cloud portfolio management company with business in over 80 countries. Lawrence previously served as CMO for Attunity, a leading provider of information availability software solutions for the enterprise. He has also held senior marketing and product management positions at EMC, E Ink Corporation and Tokutek.
Lawrence is a sought-after speaker at industry conferences and has been quoted in numerous publications. He holds an MBA from Harvard Business School, an MS in mechanical engineering from the Massachusetts Institute of Technology and a BS in aeronautics and astronautics, also from the Massachusetts Institute of Technology.
August 09, 2019
Author: Lawrence Schwartz
AI and machine learning can deliver great value to the process industries—if readily available and properly rolled out to the workforce.
May 16, 2019
At OPTIMIZE 2019, experts from across the industry discussed how capital-intensive organizations can apply new technologies in a way that delivers true business impact.
March 22, 2019
WPC2019 explored “The Golden Age of Chemicals,” outlining ways to keep the momentum going as the market shifts.
March 14, 2019
AspenTech's CMO shares insight on navigating the complex shifts facing energy from global industry leaders and policy makers.
February 20, 2019
Armed with historical data and the AI-powered software to analyze it, organizations can save millions in avoided costs. The key is targeting the program to achieve real business value.
February 06, 2019
Choosing your direction is just the start of a successful digital transformation. Find out the other keys that experts were discussing at the 23rd Annual ARC Industry Forum.
December 10, 2018
The FT Digital Energy Summit in Houston explored how advanced technologies are turning big data into big profits.