Pickl AI

OCTOBER 11, 2023

Data Observability and Data Quality are two key aspects of data management. The focus of this blog is going to be on Data Observability tools and their key framework. The growing landscape of technology has motivated organizations to adopt newer ways to harness the power of data.

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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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Data Science Dojo

OCTOBER 10, 2023

Generative AI and Data Storytelling (Virtual event | 27th September – 2023) A virtual event on generative AI and data storytelling. The event is hosted by Data Science Dojo and will be held on September 27, 2023. The speaker is Andrew Madson, a data analytics leader and educator.

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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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Precisely

JANUARY 9, 2023

More sophisticated data initiatives will increase data quality challenges Data quality has always been a top concern for businesses, but now the use cases for it are evolving. 2023 will continue to see a major shift in organizations increasing their investment in business-first data governance programs.

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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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IBM Data Science in Practice

NOVEMBER 28, 2022

As organizations steer their business strategies to become data-driven decision-making organizations, data and analytics are more crucial than ever before. The concept was first introduced back in 2016 but has gained more attention in the past few years as the amount of data has grown.

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Precisely

MAY 8, 2023

In any strategic undertaking, trusted data is key to making better decisions that unlock new opportunities for your organization. One of the first steps in the process is to access and replicate the data you need to the cloud for robust analytics and reporting. Learn more Now, let’s talk about monitoring your data.

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Precisely

JULY 12, 2024

For instance, you may have a database of customer names and addresses that is accurate and valid, but if you do not also have supporting data that gives you context about those customers and their relationship to your company, that database is not as useful as it could be. That is where data integrity comes into play.

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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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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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Precisely

JULY 31, 2023

For the report, more than 450 data and analytics professionals worldwide were surveyed about the state of their data programs. 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.

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Precisely

JULY 17, 2023

Data-driven decision-making has never been more in demand. A recent survey found that 77% of data and analytics professionals place data-driven decision-making as the leading goal for their data programs. And yet less than half (46%) rate their ability to trust data for decision-making as “high” or “very high.”

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Precisely

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 5, 2023

While one approach is to move entire datasets from their source environment into a data quality tool and back again, it’s not the most efficient or ideal – particularly now, with countless businesses moving to the cloud for data and analytics initiatives. And great news , all of the content is now available on demand!

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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

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

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 Journey to AI blog

JULY 13, 2023

Data quality uses those criteria to measure the level of data integrity and, in turn, its reliability and applicability for its intended use. Data integrity To achieve a high level of data integrity, an organization implements processes, rules and standards that govern how data is collected, stored, accessed, edited and used.

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Precisely

JULY 18, 2024

While data fabric is not a standalone solution, critical capabilities that you can address today to prepare for a data fabric include automated data integration, metadata management, centralized data governance, and self-service access by consumers.

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Precisely

MAY 31, 2023

In the same way that big cloud-platform providers offer simplified access to infrastructure, and data cloud providers like Databricks and Snowflake have vastly simplified access to data and analytics, modern data integrity tools must streamline and automate data integrity processes.

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IBM Journey to AI blog

DECEMBER 16, 2022

In other words, a data catalog makes the use of data for insights generation far more efficient across the organization, while helping mitigate risks of regulatory violations. This is especially helpful when handling massive amounts of big data. Protected and compliant data. Why IBM Watson Knowledge Catalog?

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Precisely

JUNE 29, 2023

The 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, delivers groundbreaking insights into the importance of trusted data. Data-driven decision-making is the top goal for 77% of data programs. One major finding?

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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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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

MARCH 14, 2023

And the desire to leverage those technologies for analytics, machine learning, or business intelligence (BI) has grown exponentially as well. Then, data clouds from providers like Snowflake and Databricks made deploying and managing enterprise-grade data solutions much simpler and more cost-effective.

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Precisely

MAY 3, 2023

But you need to go the extra mile to ensure that the data you rely on for downstream operations and analytics is accurate, complete, and fit-for-purpose. How can the power of data validation and enrichment transform your business? Join us to find out. Here’s our agenda for May 17: 10:30–11:15 a.m.

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Precisely

FEBRUARY 2, 2023

With trend indicators shifting from traditional metrics to something new, executives need to consult analytics and dashboards much more frequently. Having the data and proper analysis to support adjustments to strategies two weeks quicker can have a significant impact on the future.

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Precisely

OCTOBER 5, 2023

According to the 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, 77% of data and analytics professionals say data-driven decision-making is the top goal of their data programs. Data enrichment is your key to success.

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ODSC - Open Data Science

DECEMBER 3, 2024

In its essence, data mesh helps with data observability  — another important element every organization should consider. With granular access controls, data lineage, and domain-specific audit logs, data catalogs allow engineers and developers to have a better view of their systems than before.

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IBM Journey to AI blog

JULY 3, 2024

Multiple data applications and formats make it harder for organizations to access, govern, manage and use all their data for AI effectively. Scaling data and AI with technology, people and processes Enabling data as a differentiator for AI requires a balance of technology, people and processes.

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Precisely

SEPTEMBER 11, 2023

By 2025, 80% of mainstream data quality vendors will expand their product capabilities to provide greater data insights by discovering patterns, trends, data relationships, and error resolution.

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Precisely

MARCH 2, 2023

To achieve true data integrity, organizations must attend to data integration, data governance, data quality, and context with data enrichment. The result is an accurate and consistent view of each address and an accurate link to the contextual data that adds value for business users.

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The MLOps Blog

JUNE 27, 2023

A self-service infrastructure portal for infrastructure and governance. Databricks Databricks is a cloud-native platform for big data processing, machine learning, and analytics built using the Data Lakehouse architecture. It could help you detect and prevent data pipeline failures, data drift, and anomalies.

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ODSC - Open Data Science

JANUARY 9, 2024

This will become more important as the volume of this data grows in scale. Data Governance Data governance is the process of managing data to ensure its quality, accuracy, and security. Data governance is becoming increasingly important as organizations become more reliant on data.

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Precisely

JULY 15, 2024

Key Takeaways Data Mesh is a modern data management architectural strategy that decentralizes development of trusted data products to support real-time business decisions and analytics. It’s time to rethink how you manage data to democratize it and make it more accessible. What is Data Mesh?

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Precisely

SEPTEMBER 14, 2023

40% of data and analytics professionals report that their organizations have decreased staff/resources as a result of economic downturn, and 37% report a decrease in budget, according to the 2023 Data Integrity Insights and Trends Report , published in partnership between Precisely and Drexel University’s LeBow College of Business.

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