Mark Kaplan’s Post

To make exploratory data analytics even easier, organizations are using more AI techniques to make sense of data from their cloud environments. With Dynatrace Grail dashboards, Notebooks, and CoPilot generative AI, getting instant answers has never been easier. Jane Mulcaster shares the details in her latest blog.

To make exploratory data analytics even easier, organizations are using more AI techniques to make sense of data from their cloud environments. With Dynatrace Grail dashboards, Notebooks, and CoPilot generative AI, getting instant answers has never been easier. Jane Mulcaster shares the details in her latest blog.

To make exploratory data analytics even easier, organizations are using more AI techniques to make sense of data from their cloud environments. With Dynatrace Grail dashboards, Notebooks, and CoPilot generative AI, getting instant answers has never been easier. Jane Mulcaster shares the details in her latest blog.

Monitor your models in production better. This new version of Vertex AI Model Monitoring helps you know if your models—running on whatever serving infrastructure—are drifting in their prediction quality. Take a look at the new visualizations!

To make exploratory #data #analytics even easier, organizations are using more #AI techniques to make sense of data from their #cloud environments. With #Dynatrace #Grail dashboards, Notebooks, and CoPilot generative AI, getting instant answers has never been easier. Jane Mulcaster shares the details in her latest blog.

In our second article of the series about Azure Data Explorer, one of our Data & AI consultants takes a closer look at Graph Analysis. The new capability is still in preview but it promises to be able to extract patterns from many-to-many, hierarchical, or networked relations. We take it for a spin in this walk-through! Check out full article here 👉 https://okt.to/Y8xbrf #azure #graphanalysis #dataexplorer #data

In our second article of the series about Azure Data Explorer, one of our Data & AI consultants takes a closer look at Graph Analysis. The new capability is still in preview but it promises to be able to extract patterns from many-to-many, hierarchical, or networked relations. We take it for a spin in this walk-through! Check out full article here 👉 https://okt.to/NwRHLi #azure #graphanalysis #dataexplorer #data

Converting real life documents to querable datasets is one of the most challenging tasks for data engineers. Thanks to the power of AI now this can be easily achievable 💪 #GoogleCloudLearning #GoogleCloudSkillBadge

What role will AI play in data modeling? What role will data modeling play in AI? In this brief interview, I explore this topic with Hyperight AB, organizers of the #dataInnovationSummit. For those who want to dive deeper, don't miss Dan Galavan's presentation this Thursday. Dan will share tips on how to optimize data model design using SqlDBM, keeping Snowflake Data Cloud's #CoPilot in mind. If you are attending the conference in person or remotely, do drop by or tune in to stage M6 this Thursday, April 25th, at 1:30 pm CEST!

In our second article of the series about Azure Data Explorer, one of our Data & AI consultants takes a closer look at Graph Analysis. The new capability is still in preview but it promises to be able to extract patterns from many-to-many, hierarchical, or networked relations. We take it for a spin in this walk-through! Check out full article here 👉 https://okt.to/SbiHfY #azure #graphanalysis #dataexplorer #data