What to Expect When You’re Expecting ML: Lessons Learned from the New SDLC
What to Expect When You’re Expecting ML: Lessons Learned from the New SDLC


Machine Learning (ML) will fundamentally change the way we build and maintain applications. How can we adapt our infrastructure, operations, staffing, and training to meet the challenges of the new Software Development Life Cycle (SDLC) without throwing away everything that already works?
After decades of software development, the industry has settled on a common set of roles, processes, and tools. Developers, DevOps engineers, QA engineers, and release engineers each understand their responsibilities, and
CI/CD and version control systems automate the workflow. ML is the future of application development, but presently, most ML teams are flailing without any process–or trying to shoehorn their ML workflow into tools that don’t fit the requirements. This talk will help you understand the differences between the traditional and ML-driven SDLCs and build a process and stack to bring efficiency to emerging development.
Topics include:
● Why traditional software development works
● The unique challenges of deploying and managing ML models at scale
● How leading companies have built modern ML lifecycle automation
● Integrating with existing life cycle management tools


Coming soon!

Open Data Science




Open Data Science
One Broadway
Cambridge, MA 02142

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Consent to display content from - Youtube
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google