Category Archives: Data

Meta Data, Dark Data and Intent

https://soundcloud.com/user-410091210/meta-data-dark-data-and-intent

Data comes from many different places, sources, and ways. Some data we call dark data, which is data not accessible to you, and all of it relevant. Today we talk about metadata as part of the governance control management exposure of data.

An important layer beyond the data itself is the governance intent, how people access it, and how you combine data. We discuss exactly what that is, but still only touch the surface.

References:
yago-knowledge.org
en.wikipedia.org/wiki/Ontology

Transcript: otter.ai/u/rP_4gi-iDont0r2CaZ…?utm_source=copy_url
Image: www.pexels.com/photo/apples-and-…n-books-14098062/

Rob’s Hot Take:

In the Cloud 2030 Podcast episode on metadata and building a data control plane, Rob Hirschfeld emphasizes the challenge of controlling data egress due to its diverse sources and destinations. He contends that rather than attempting to create a locked box for all data, the focus should be on embedding information, particularly metadata, to control data consumption. Hirschfeld envisions a distributed system for a data control plane, involving multiple parties managing and providing consistent rules for data use, acknowledging the complexity of data storage across various locations. He encourages listeners to explore the insightful February 2nd episode and engage in ongoing conversations at the2030.cloud.

Metadata For A Data Control Plane

https://soundcloud.com/user-410091210/metadata-for-a-data-control-plane

Metadata is information that travels with the raw data that provides context, provenance, security, authorship, controls, and indexing.

The number of ways that you can expand the use of data is controlled by adding metadata. It creates a change in how we look at and manage data. Instead of creating control systems that contain the data, it’s actually packaged the control infrastructure, or the data control plane, as part of the data so that all of the systems can participate in it.

We also talk about data mesh a lot in that context.

Transcript: otter.ai/u/bho2SHu0N1YfECix6X8qNvKTlB4
Image: www.pexels.com/photo/pensive-eth…up-phone-3760607/

Rob’s Hot Take:

In the Cloud 2030 Podcast episode from January 19th, Rob Hirschfeld discusses the challenges and opportunities associated with metadata, particularly in the context of managing and sharing data effectively. The conversation explores the concept of packaging raw data in a way that makes it available on request without being included, accompanied by metadata detailing its provenance, access permissions, context, and even expiration dates. Hirschfeld emphasizes the importance of building a data control plane to navigate the complexities of data consumption and production, envisioning a future where metadata plays a crucial role in weaving together diverse data sources. Listeners are encouraged to explore the full 40-minute discussion for comprehensive insights, and to join ongoing conversations at the2030.cloud.

ROI from Putting Data In Context

https://soundcloud.com/user-410091210/roi-from-putting-data-in-context

If you love data and data context formats for exchanging data, you will love this conversation.

Today’s episode is a deep conversation about the potential ability to define ways in which we produce, store and share data, providing context using markup languages, and then being able to extend that. It’s a fascinating conversation about how much we could improve our use of data if we were able to provide more context about who wanted to see it and what relevance it had.

We also have some interesting conversations about data migration and how we share information.

Transcript: otter.ai/u/S9_tibMGhkoajG0bP8LaciJ32Ys
Image: www.pexels.com/photo/a-grayscale…is-hand-10839215/

Chat GPT In IT

We discussed the implications of chat GPT for it and the industry.

In today’s episode, we spend a lot of time figuring out how data provenance governance, bias, and ownership will impact chat GPT in IT and technology and cloud contexts. This discussion really looks into how chat GPT can be used in disruptive ways, but also in protective ways as what we describe as guardrails for how these systems are going to get built.

We come to some very interesting conclusions.

Transcript: otter.ai/u/aETNeRoDnspFnmPT3KcjBuHQTzE
Image: www.pexels.com/photo/surprised-y…le-phone-3771127/

Rob’s Hot Take:

In the Cloud 2030 podcast’s January fifth episode, CEO Rob Hirschfeld explores the complexities of data provenance in ChatGPT, questioning ownership and control of the generated content. He emphasizes the need to understand the sources of data, pondering whether the output belongs to users, the algorithm, or no one, highlighting the challenges of systems that belong to nobody. Hirschfeld also connects this issue with Software Bill of Materials, emphasizing the importance of knowing the components of systems for accuracy and confidence. He encourages listeners to delve into the full episode for valuable insights and invites them to engage further in discussions at 2030.Cloud.

Do we have a Right To Right for Data & IP?

Right to Repair is the idea that when you buy a product, you’re able to fix it. We’ve been building products lately that don’t have that inherent part of the contract.

In this episode, we really took Right to Repair to another level talking about Intellectual Property (IP) and ownership of that IP in the software components.

This topic impacts every single business and every single consumer!

Transcript: otter.ai/u/7EVT0C9T0KDCcUIWBsGYKHdiT6Y
Photo: Photo by Blue Bird from Pexels [ID 7218008]