Join us on September 27 at 10:00AM PST / 1:00PM EST for a live webinar hosted by us.
We know the challenges companies face when operationalizing their machine learning models. We’ve brought together an expert panel to discuss how to successfully shift your DevOps practices to become MLOps and push ML to production.
Nisha Talagala, Co-Founder, CTO & VP Engineering, ParallelM - 54 patents, 15 years in software development and former technology lead for server flash at Intel.
Prior to ParallelM, Nisha was a Fellow at SanDisk and Fellow/Lead Architect at Fusion-io, where she drove innovation in non-volatile memory, in particular the industry’s first persistent memory solution.
Prior to Intel, Nisha was the CTO of Gear6, where she designed and built clustered computing caches for high performance I/O environments. Nisha earned her PhD at UC Berkeley with research on software clustering and distributed storage.
Boris Tvarosk, Global Artificial Intelligence Lead, Lenovo - Boris has more than 20 years IT Leadership experience across Europe, Asia, Africa and North America. He is currently Global Artificial Intelligence Architect for Lenovo.
Previously, Boris was CTO of Sidekick.chat, startup with a mission to automate repetitive tasks in project management. Before his startup work he was running Solution Architecture for HP in Central & Eastern Europe, the Middle East, Africa and India.
Boris has a Master in Computer Science from Comenius University in Bratislava, Slovakia and a Master in Business Administration from Erasmus University in Rotterdam, Netherlands. Boris has more than 20 years of experience developing new technologies and building new markets.
Dana Crane, Product Marketing Manager, ActiveState - Responsible for the go-to-market function at ActiveState, Dana has 20+ years of experience both crossing and falling into the chasm while bringing to market everything from desktop to Web to SaaS software. He’s worked previously in positions ranging from Senior Product Manager for CA Technologies to Marketing Intelligence Manager at IBM.
Come hear from Nisha, Boris and Dana regarding processes, tools and use cases for machine learning. They will cover:
- Processes for IT and engineering teams tailor-made for operationalizing ML
- CI/CD process for software development with ML Component
- Machine and Deep learning use in DevOps cycle from Testing to Operations
Can’t make it to the webinar? Register anyway, and we’ll send you a link to the recorded session once it’s available.
Best Regards,
Jason Kamara
ActiveState Team