C M L - Clutter and Machine Learning

The idea behind clutter and machine learning, or camales you mention, is really kind of that how do we bridge the gap from data into the machine learning work clothes? How do we enable data scientists to work in ways that they need to work. And that kind of leads into c m l, which is more of a end to end, i almost want to say traditional, butall so new, a environment for training and deploying models. Geat correct sowe di senow, we talk about clutter, thad engineering and clutter and machinelearning, but they're actually delivered as one product inside of the clutter data platform.