The hottest Data Governance Substack posts right now

Producers need to move towards consumer-defined data contracts to improve data quality and alignment with user needs.
A phased approach of awareness, collaboration, and contract ownership helps in successful data contract adoption.
Starting with consumer-defined contracts drives communication, awareness, and problem visibility, leading to long-term benefits.

Chad Sanderson announced an upcoming book on Data Contracts with O'Reilly, covering topics like what data contracts are, how they work, implementation, examples, and the future implications. The book will delve into Data Quality and Governance.
The first two chapters of the book are available for free on the O'Reilly website. They cover the importance of data contracts and the real goals of data quality initiatives, totaling about 45 pages of content.
Chad Sanderson is currently selecting technical reviewers for the book. Interested individuals can reach out to him to share their thoughts on an advance copy.

Snowflake Summit 2023 introduced key features including a partnership with Nvidia, Snowpark Container Services for machine learning, and updates to the Native Application Framework.
Snowflake announced new options for paying Marketplace Listings using Snowflake capacity contracts, custom billing events for native applications, and data governance features like Aggregation Constraints.
Additional announcements at Snowflake Summit 2023 included updates in Snowflake SQL, a new Snowflake Performance Index, and the ability to set spending alerts and calculate cost run-rates.

Growing interest in tools for strategic data utilization, management, and security within organizations
Ray is recommended for building AI applications due to its compute-intensive platform
Deep learning models like TabNet could become more accessible through declarative interfaces for structured data in the future

Our personal data is being used in various ways by known and unknown companies, which highlights the need for effective governance over data usage.
Data is a crucial resource in the digital age, powering advancements in technologies like AI, robotics, and genetic engineering, but inadequate regulation poses risks in balancing innovation and privacy rights.
The lack of global governance over data flow between nations and industries, coupled with the increasing influence of AI, emphasizes the importance of collaborative efforts involving citizens, non-profits, governments, and industries to establish effective data laws and regulations.

Get a weekly roundup of the best Substack posts, by hacker news affinity:

Being a data citizen means using data to make smart business choices. It's about knowing your rights and responsibilities regarding data.
Data literacy and good governance are super important with the rise of AI. Understanding data helps us navigate its challenges and benefits.
There is a 'Data Citizens Bill of Rights' that outlines the rights and expectations for those involved in data decision-making.

Managing data is crucial for IT success today, and having good data management practices can help organizations thrive.
Data silos, lack of change visibility, and compliance challenges are common problems for IT departments, making it harder to manage information effectively.
Sort is a tool that helps break down data silos, improves tracking of data changes, and enhances security and compliance, making data management easier for IT teams.

LLMs naturally produce plausible-sounding outputs that can be wrong, so treat them like creative, overconfident interns who need checking.
AI should augment human decision-making, not replace it — let AI suggest options while humans review sources, validate logic, and make final calls.
For high-stakes use require traceability, confidence signals, and mandatory human verification (like digital sign-off); without those safeguards you build long-lasting trust debt.

Historage Tech completed a Series A funding round worth tens of millions of RMB. This is their second round of funding this year after the April investment from Hefei Gaotou.
Historage Tech innovatively combines data governance with data security through their Seastone Data Platform. They offer AI-driven data classification and categorization for enhanced security.
The funding from Qi-An-Chuanfa Fund will help Historage Tech accelerate market expansion and continue developing their data platform, aligning with the future digital economy's focus on business-driven data governance.

Embedded analytics bring data to where customers are, sparking curiosity and increasing engagement by providing data in easily interpretable ways.
Themes of modern embedded analytics include leveraging headless BI tools with semantic layers for defining business logic, and ensuring data governance for reliable data access.
Building embedded analytics solutions not only drives product engagement by integrating data analysis seamlessly, but also opens avenues for data monetization and fosters internal data-driven cultures within businesses.