Changing data management with cloud-based data modeling – SiliconANGLE

In today’s data-driven world, the key to unlocking the true potential of data lies in effective cloud-based data modeling.

The ability to structure, share and collaborate on data models in real-time is revolutionizing how organizations manage and utilize data. Cloud-based solutions are at the forefront of this transformation, providing scalability, sharability and integration that traditional on-premises solutions cannot match, according to Serge Gershkovich (pictured, right), head of product at SqlDBM (We Comes Before Me Corp.).

“When you’re able to just easily input somebody’s email address and have them come into the same vision that you’re designing and see it in real-time, we feel like that’s really what unlocks the true power of modeling,” Gershkovich said. ”As soon as you take it out of your desktop and print it out or save it as a document, now it’s instantly out of sync. So with cloud, you have shareability, you have integration, you have modeling in parallel, in real time.”

Gershkovich and Jaymin Patel (left), senior manager of cloud data platform and engineering at Baptist Health South Florida Inc., spoke with theCUBE’s Rebecca Knight and Dave Vellante at Data Cloud Summit, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the transformative impact of cloud-based data modeling on business efficiency and artificial intelligence integration. (* Disclosure below.)

Unlocking potential through cloud-based data modeling

Data modeling is not just about structuring data, Gershkovich explained. It is also a crucial step in preparing data for advanced analytics and AI applications.

“AI is nothing more than a pattern recognition and sensing tool that will just kind of sort through what it has and give you the best possible prediction based on that,” he said. “When you have an unproperly modeled data set where the inferences that it can generate are just guaranteed to be incorrect, if the data is wrong, if the data’s messy, if it has to do extra work…it’s just adding more and more ambiguity to something that is already ambiguous by nature.”

By having a clear and consistent data model, the organization can quickly generate insights. This allows the organizations to provide actionable information to both sides of the exchange, enhancing the overall quality.

“If you don’t have the proper data model, the hundreds of tables, hundreds of data sets, how can you get to the info that matters to the patient or the physician to treat them and have a better outcome for the patient care,” Patel said. “So this is where we try and holistically think about how this particular model for a subject area can help us to easily answer those questions.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of Data Cloud Summit:

(* Disclosure: SqlDBM sponsored this segment of theCUBE. Neither SqlDBM nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE