ACM TechTalks

ACM members and non-members alike are welcome to attend our popular series of free TechTalks by expert industry professionals, distinguished ACM award laureates, and visionary researchers from industry and academia. Focused on keeping our global audience of busy practitioners at the forefront of technical trends, professional development, and emerging technologies, the TechTalks are also popular with students and educators. Recent talks have covered topics in Artificial Intelligence and Machine Learning, Big Data and Data Science, Blockchain, Computer Vision, Deep Learning, JavaScript, Microservices, Python, Quantum Computing, and more. Registration is free and the TechTalks can be attended both live and on-demand, on desktop and mobile devices. Check this page frequently for upcoming events as well as our on-demand archive. To subscribe to our TechTalk announcements, email learning@acm.org.

View Our Recent TechTalk

"What We Should Be Teaching Our Next Generation of Software Practitioners" with Paul E. McMahon


It has been observed that what we have traditionally been teaching our future software practitioners in the universities is significantly different from what practitioners often experience when they leave the university and go into industry. As an example, one software engineering professor recently stated that we give students requirements and ask them to develop software to meet those requirements, but our students often don’t have real stakeholders and we don’t give them ambiguous requirements like they will face in industry.

This presentation explores an approach to help bridge this gap utilizing actual, common industry situations along with the Essence framework to better prepare our next generation of software professionals for the challenges they are certain to face in industry. Specific examples discussed include the critical areas of stakeholder management, requirements management, defect management, and cybersecurity. The need for improved critical thinking skills will be highlighted along with practical examples that can be used today in the universities to help students strengthen these essential skills and be better prepared for future challenges.

ACM Learning Center TechTalk Archive

ACM award winners, leading researchers, industry veterans, thought leaders, and innovators address today and tomorrow's hottest topics and issues in computing for busy practitioners, as well as educators, students, and researchers. Check out our archive of these ACM TechTalks, free for members and non-members alike.

TechTalks on Artificial Intelligence & Machine Learning

Talks from some of the leading visionaries and bleeding-edge researchers in AI/ML: Fei-Fei Li on visual intelligence in computers and ImageNet; Eric Horvitz on AI solutions in the open world; and Tom Mitchell on using ML to study how the brain creates and represents language.

Horizontal Leadership: Practical Lessons for Driving Company-Wide Strategy and Action

Register now for the next ACM TechTalk, "Horizontal Leadership: Practical Lessons for Driving Company-Wide Strategy and Action," presented on Thursday, May 20 at 1:00 PM ET/10:00 AM PT by Eve Andersson, Senior Director, Accessibility, at Google, and a member of the ACM Practitioner Board. Eve also co-founded ArsDigita Corporation, an open-source software company, and co-authored two books: Software Engineering for Internet Applications (MIT Press, 2006) and Early Adopter VoiceXML (Wrox Press, 2001). Vicki Hanson, ACM CEO will moderate the questions and answers section. Continue the discussion on ACM's Discourse Page.

Image of Eve Andersson

Democratizing AI: Creating Cognitive AI Assistants with No Coding

View the recent ACM TechTalk, "Democratizing AI: Creating Cognitive AI Assistants with No Coding," presented by Michelle Zhou, CEO of Juji, Inc., ACM Distinguished Member, and Editor in Chief of ACM Transactions on Interactive Intelligent Systems (TiiS). Wenxi Chen, AI Software Engineer at Juji, Inc., moderated the questions and answers session. Continue the discussion on ACM's Discourse Page.

Image of Michelle Zhou