governance-how-to 
CIO Business Intelligence
MAY 6, 2024
There are three key principles that enable teams to successfully deploy people-centric planning: governing innovation, aligning technology with the business, and empowering teams. In this post, I’ll look at governing innovation. When you start funding people, how do you ensure you’re getting value for the money being spent?
Data Virtualization
JUNE 16, 2022
Reading Time: 6 minutes Data Governance as a concept and practice has been around for as long as data management has been around. The post How to Simplify Your Approach to Data Governance appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.
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TDAN
FEBRUARY 14, 2023
However, if there is no strategy underlining how and why we collect data and who can access it, the value is lost. Ultimately, data governance is central to […] In the publishing industry, there are a lot of things we can measure. Not only that, but we can put our business at serious risk of non-compliance.
IBM Big Data Hub
OCTOBER 16, 2023
This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities.
Advertiser: Data Robot
As technology transforms the global business landscape, companies need to examine and update their internal processes for innovation to keep pace. Ultimately, organizations will have to improve the velocity of innovation by creating repeatable processes that support ideation, exploration, and incubation, essential to capturing an idea’s full value.
Alation
FEBRUARY 3, 2022
So how does data governance relate to DataOps? Data governance is a key data management process. But how would this work? Continuous Improvement Applied to Data Governance. In order for data governance to continuously improve , practitioners need to think of data governance as a cyclical process.
TDAN
SEPTEMBER 19, 2023
The transition from hybrid to multi-cloud environments is more than just a buzzword: It’s a fundamental shift in how organizations manage and utilize their data. As these complex architectures evolve, the importance of robust multi-cloud data governance cannot be overstated.
Advertiser: Data Robot
In our 10 Keys to AI Success in 2021 eBook, we draw from the engaging conversations we’ve had with guests on our More Intelligent Tomorrow podcast series to show how organizations are overcoming hurdles and realizing the enormous rewards that AI can bring to any organization. Trusted AI and how vital it is to your AI projects.
Advertiser: Data Robot
Machine learning operations (MLOps) is the technical response to that issue, helping companies to manage, monitor, deploy, and govern their models from a central hub. Download the report to find out: How enterprises in various industries are using MLOps capabilities. How to determine the benefits of an MLOps infrastructure.
Speaker: Aaron Kalb, Co-Founder and CDAO at Alation
In this webinar, Aaron Kalb, co-founder and CDAO at Alation, dives into the role of technology in shaping culture and shows how a modern data catalog is helping innovative enterprises create thriving data cultures. What ingredients are needed to create a data culture, including data search & discovery, data literacy, and data governance.
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Read this whitepaper to learn: How this “no data copy” approach dramatically streamlines data workflows while reducing security and governance overhead. How to separate compute and data by preserving data in open file and table formats. How to separate compute and data by preserving data in open file and table formats.
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In this paper, we explore the top considerations for building a cloud data lake including architectural principles, when to use cloud data lake engines and how to empower non-technical users. The key prerequisites for meeting the needs of non-technical users while adhering to data governance policies.
Speaker: David Loshin, President, Knowledge Integrity, Inc, and Sharon Graves, Enterprise Data - BI Tools Evangelist, GoDaddy
Traditional data governance fails to address how data is consumed and how information gets used. To meet the needs of the business and the growing number of data consumers, many organizations like GoDaddy are rebooting data governance. As a result, organizations are failing to effectively share and leverage data assets.
Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri
In this webinar, learn how Enel Group worked with Agile Lab to implement Dremio as a data mesh solution for providing broad access to a unified view of their data, and how they use that architecture to enable a multitude of use cases. Leveraging Dremio for data governance and multi-cloud with Arrow Flight.
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Disparate datasets and technologies make it more difficult than ever to give your customers and users the information and insight they need, when they need it (and how they want it) while addressing the complexities of compliance, governance, and security. Find out how Data Mesh can help you overcome these challenges and more.
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