IBM Journey to AI blog

AUGUST 23, 2023

Because of this, when we look to manage and govern the deployment of AI models, we must first focus on governing the data that the AI models are trained on. This data governance requires us to understand the origin, sensitivity, and lifecycle of all the data that we use. and watsonx.data.

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The Data Administration Newsletter

NOVEMBER 14, 2023

Data empowers businesses to gain valuable insights into industry trends and fosters profitable decision-making for long-term growth. No wonder businesses of all sizes are switching to data-driven culture from conventional practices.

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Dataversity

APRIL 25, 2022

If data processes are not at peak performance and efficiency, businesses are just collecting massive stores of data for no reason. Data without insight is useless, and the energy spent collecting it, is wasted. The post Solving Three Data Problems with Data Observability appeared first on DATAVERSITY.

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Alation

JANUARY 20, 2022

In Ryan’s “9-Step Process for Better Data Quality” he discussed the processes for generating data that business leaders consider trustworthy. To be clear, data quality is one of several types of data governance as defined by Gartner and the Data Governance Institute.

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Dataversity

AUGUST 15, 2022

So, what can you do to ensure your data is up to par and […]. The post Data Trustability: The Bridge Between Data Quality and Data Observability appeared first on DATAVERSITY. You might not even make it out of the starting gate.

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Precisely

JANUARY 9, 2023

Read the Report Improving Data Integrity and Trust through Transparency and Enrichment Read this report to learn how organizations are responding to trending topics in data integrity. 2023 will continue to see a major shift in organizations increasing their investment in business-first data governance programs.

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Precisely

MAY 8, 2023

Once you’ve connected key business goals and initiatives, it’s time to establish policies and procedures, including defining data ownership, establishing access controls, and managing data retention and deletion. Learn more Now, let’s talk about monitoring your data. How does it work for real-world use cases?

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Dataversity

JANUARY 19, 2024

Do you know the costs of poor data quality? Below, I explore the significance of data observability, how it can mitigate the risks of bad data, and ways to measure its ROI. Data has become […] The post Putting a Number on Bad Data appeared first on DATAVERSITY.

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Data Science Dojo

OCTOBER 10, 2023

IMPACT 2023- The Data Observability Summit (Virtual event – November 8) Focus on Data and AI : The summit will illuminate how contemporary technical teams are crafting impactful and performant data and AI products that businesses can rely on.

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Data Science Dojo

NOVEMBER 15, 2023

IMPACT is a great opportunity to learn from experts in the field, network with other professionals, and stay up-to-date on the latest trends and developments in data and AI. The summit will be held on November 8th, 2023.

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JULY 31, 2023

In the context of improving their organizations’ data integrity , respondents cite data quality and data integration as priorities for 2023 and as challenges to data integrity. Let’s explore more of the report’s findings around data integrity maturity, challenges, and priorities.

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MARCH 7, 2024

Yet experts warn that without proactive attention to data quality and data governance, AI projects could face considerable roadblocks. Data Quality and Data Governance Insurance carriers cannot effectively leverage artificial intelligence without first having a clear data strategy in place.

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Precisely

JUNE 6, 2023

That means finding and resolving data quality issues before they turn into actual problems in advanced analytics, C-level dashboards, or AI/ML models. Data Observability and the Holistic Approach to Data Integrity One exciting new application of AI for data management is data observability.

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Precisely

JULY 17, 2023

The Suite comprises seven interoperable cloud services: Data Quality, Data Integration, Data Observability, Data Governance, Data Enrichment, Geo Addressing, and Spatial Analytics.

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Dataversity

DECEMBER 14, 2021

Watching closely the evolution of metadata platforms (later rechristened as Data Governance platforms due to their focus), as somebody who has implemented and built Data Governance solutions on top of these platforms, I see a significant evolution in their architecture as well as the use cases they support.

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Precisely

MAY 18, 2023

Customer Voices from Trust ’23: the Precisely Data Integrity Summit Jean-Paul Otte from Degroof Petercam shares why data governance is essential to linking data to business value – and why improving data quality is the first step of any governance journey.

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IBM Data Science in Practice

NOVEMBER 28, 2022

Customer 360 : create a comprehensive view of client Multicloud data integration : integrate data across any hybrid and multicloud landscapes Data governance and privacy : automate to manage data trust, protection and compliance MLOps and trustworthy AI : enable an end-to-end AI workflow infused with data governance and privacy Data observability : (..)

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IBM Journey to AI blog

APRIL 10, 2023

To further the above, organizations should have the right foundation that consists of a modern data governance approach and data architecture. It’s becoming critical that organizations should adopt a data architecture that supports AI governance.

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Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

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Precisely

MAY 31, 2023

Data Integrity Processes Run Where Data Lives Traditional data management solutions have required that data be brought to where the tools run. As a result, organizations have had to bring copies of their data to the tools – one copy for data quality, one copy for data governance, and so on.

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Precisely

MAY 4, 2023

It includes streaming data from smart devices and IoT sensors, mobile trace data, and more. Data is the fuel that feeds digital transformation. But with all that data, there are new challenges that may require consider your data observability strategy. Is your data governance structure up to the task?

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IBM Journey to AI blog

DECEMBER 16, 2022

And because data assets within the catalog have quality scores and social recommendations, Alex has greater trust and confidence in the data she’s using for her decision-making recommendations. This is especially helpful when handling massive amounts of big data. Protected and compliant data.

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Alation

DECEMBER 7, 2021

Alation and Soda are excited to announce a new partnership, which will bring powerful data-quality capabilities into the data catalog. Soda’s data observability platform empowers data teams to discover and collaboratively resolve data issues quickly. grant everyone self-service access to data.

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Precisely

APRIL 11, 2023

Replicate data into the data cloud of your choice using hundreds of connectors. Step 3: Observe the data With the data replicated to the cloud, you can observe the data using the Data Observability service.

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Precisely

MARCH 14, 2023

Whatever your unique objectives may be, the Data Integrity Suite’s Data Quality module will play a critical role in your ongoing data integrity journey – ready to help you tackle new use cases with data that’s accurate, consistent, and fit for purpose where you need it most.

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SEPTEMBER 11, 2023

By 2025, 50% of data and analytics leaders will be using augmented MDM and active metadata to enhance their capabilities – demonstrating that beyond data quality, automation is also in demand for data governance, data catalog, and security solutions.

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FEBRUARY 2, 2023

And this confidence requires data quality controls that include machine-learning models to recognize whether the appropriate rules are applied to your data and flexible data governance tools that can adapt to different business scenarios.

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IBM Journey to AI blog

FEBRUARY 26, 2024

The financial services industry has been in the process of modernizing its data governance for more than a decade. But as we inch closer to global economic downturn, the need for top-notch governance has become increasingly urgent. That’s why data pipeline observability is so important.

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phData

AUGUST 10, 2023

The implementation of a data vault architecture requires the integration of multiple technologies to effectively support the design principles and meet the organization’s requirements. Having model-level data validations along with implementing a data observability framework helps to address the data vault’s data quality challenges.

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Dataversity

JUNE 26, 2023

The same expectation applies to data, […] The post Leveraging Data Pipelines to Meet the Needs of the Business: Why the Speed of Data Matters appeared first on DATAVERSITY. Today, businesses and individuals expect instant access to information and swift delivery of services.

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Dataversity

JUNE 19, 2023

In part one of this article, we discussed how data testing can specifically test a data object (e.g., table, column, metadata) at one particular point in the data pipeline.

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Dataversity

MAY 26, 2023

Suppose you’re in charge of maintaining a large set of data pipelines from cloud storage or streaming data into a data warehouse. How can you ensure that your data meets expectations after every transformation? That’s where data quality testing comes in.

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Precisely

JUNE 5, 2023

Manual data cleanup can be time-consuming and error-prone – and yet clean, ready-to-use data is essential to the success of strategic initiatives across industries and use cases. Reach new levels of data quality and deeper analysis – faster So then, what are the options for data practitioners?

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Dataversity

MARCH 3, 2023

You wished the traceability could have been better to relieve […] The post Observability: Traceability for Distributed Systems appeared first on DATAVERSITY. Have you ever waited for that one expensive parcel that shows “shipped,” but you have no clue where it is? But wait, 11 days later, you have it at your doorstep.

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Dataversity

MARCH 3, 2023

You wished the traceability could have been better to relieve […] The post Observability: Traceability for Distributed Systems appeared first on DATAVERSITY. Have you ever waited for that one expensive parcel that shows “shipped,” but you have no clue where it is? But wait, 11 days later, you have it at your doorstep.

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IBM Journey to AI blog

JULY 13, 2023

This is the practice of creating, updating and consistently enforcing the processes, rules and standards that prevent errors, data loss, data corruption, mishandling of sensitive or regulated data, and data breaches.

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MAY 3, 2023

ET: Preventing Data Downtime with Effective Data Governance, Observability & Quality Strategies Data downtime is a significant challenge faced by organizations of all sizes and from all industries, resulting in lost revenue, missed opportunities, and reduced customer satisfaction.

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