As organizations embrace the potential of data, they face a challenge of operationalizing machine learning and data science delivery processes.Building the infrastructure to support machine learning efforts requires experience, and resources.Join Qwak's VP of R&D, Ran Romano to hear from his experiences about:
Ran Romano
VP Engineering
"From the get go, it was clear that Qwak understand our needs and requirements. The simplicity of the implementation was impressive.
Automatic deployment and continuous training were crucial to allow us to scale. Qwak gave us a type of "Jenkins" for machine learning."
"Using Qwak allowed us to focus on creating a business impact rather than spending valuable time on our infrastructure setup.
At JLL our development is very time sensitive. As a result of implementing Qwak, we improved our execution time by 4.5X."
"With Qwak we were able to improve our ML delivery dramatically.
Qwak has allowed us to work to the highest engineering standards from day one and to invest the majority of our efforts in our business challenges and not into plumbing."