VIDEO | nvisia VP: The Scope of Generative AI in Data Is Mind-boggling

(US and Canada) Mark Panthofer, Vice President at nvisia, speaks with Maribeth Achterberg, VP of Solution Delivery at Molson Coors Beverage Company, in a video interview about data governance and compliance, understanding identity, data classification, and the role of generative AI in the data space.

Panthofer says that all compliance groups need a seat at the table with the platform engineering team to place guardrails for a smooth transition from a centralized to a decentralized platform. The guardrails include understanding acceptable data platforms, standards to access those platforms, and managing the identity of the user that is making a request that flows to data.

Speaking about evolution, he states that it is incremental for developmental teams to understand identity, and ‘single sign-in’ is one of the first mechanisms to learn. In addition, Panthofer shares that all the authorizations, rights, and entitlements around data cannot be figured out in a day.

After linking a single account to the backend database, he recommends organizations start building a data layer on top of it. Evolution becomes more prevalent in the cloud, and the next important thing is to know where the data lives and what the regulations are around that, says Panthofer.

Leading on to data classification, he wonders how different technologies would classify data. Panthofer states that unlike in the old times, when dealing with data streaming and event-driven architectures, and their ramifications, organizations must comprehend them better.

Emphasizing the scope of generative AI, he refers to it as mind-boggling. Panthofer urges individuals to have their own chatbot GCP session to understand its capabilities. He recalls an instance when generative AI gave a better definition of DevOps, and he credits its ability to the natural language processing interface.

Next, Panthofer notes that with data coming from thousands of web pages and public information, generative AI ties concepts together and makes decisions with its cognitive abilities. He says that it is likely that the data sources plugged in are proprietary and that the legal aspect can slow down the technology more than anything. Additionally, there is the consumption of it, and then there is the privacy aspect of it, says Panthofer.

In conclusion, he shares his thoughts about moving to the cloud and becoming a cloud-native. Panthofer emphasizes the importance of being at the table with the platform architecture and engineering team from the beginning to ensure consistent standards. He further asks organizations to push the envelope for authorization and authentication back to the data element.

CDO Magazine appreciates Mark Panthofer for sharing his insights and data success stories with our global community.

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