Dataversity

JANUARY 15, 2025

Theres nothing quite like gathering with data professionalsfriends old and new at a DATAVERSITY conference.Last months event was particularly special, combining the well-established Data Governance & Information Quality (DGIQ) East Conference with the inaugural AI Governance Conference (AIGov).Adding

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SEPTEMBER 9, 2024

Key Takeaways: • Implement effective data quality management (DQM) to support the data accuracy, trustworthiness, and reliability you need for stronger analytics and decision-making. Embrace automation to streamline data quality processes like profiling and standardization. What is Data Quality Management (DQM)?

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Dataconomy

FEBRUARY 11, 2025

AI could reduce workload but access remains limited The survey, conducted nationally in November 2024, revealed that 85% of clinical data abstractors believe AI could reduce time, effort, and costs associated with data abstraction. Half of the respondents also believed AI could improve data quality.

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phData

NOVEMBER 1, 2024

It serves as a vital protective measure, ensuring proper data access while managing risks like data breaches and unauthorized use. Strong data governance also lays the foundation for better model performance, cost efficiency, and improved data quality, which directly contributes to regulatory compliance and more secure AI systems.

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JANUARY 30, 2025

Integrate data governance and data quality practices to create a seamless user experience and build trust in your data. When planning your data governance approach, start small, iterate purposefully, and foster data literacy to drive meaningful business outcomes.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

Lets assume that the question What date will AWS re:invent 2024 occur? The corresponding answer is also input as AWS re:Invent 2024 takes place on December 26, 2024. invoke_agent("What are the dates for reinvent 2024?", A: 'The AWS re:Invent conference was held from December 2-6 in 2024.' Query processing: a.

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JANUARY 27, 2025

That number jumps to 60% when asked specifically about obstacles to AI readiness, making it clear that the scarcity of skilled professionals makes it difficult for organizations to fully capitalize on their data assets and implement effective AI solutions. In fact, its second only to data quality. Youre not alone.

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DECEMBER 9, 2024

Top reported benefits of data governance programs include improved quality of data analytics and insights (58%), improved data quality (58%), and increased collaboration (57%). Data governance is a top data integrity challenge, cited by 54% of organizations second only to data quality (56%).

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Dataversity

DECEMBER 11, 2023

Organizations learned a valuable lesson in 2023: It isn’t sufficient to rely on securing data once it has landed in a cloud data warehouse or analytical store. As a result, data owners are highly motivated to explore technologies in 2024 that can protect data from the moment it begins its journey in the source systems.

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Dataversity

APRIL 4, 2025

In this series of blog posts, I aim toshare some key takeaways from the DGIQ + AIGov Conference 2024 held by DATAVERSITY. These takeaways include my overall professional impressions and a high-level review of the most prominenttopics discussed in the conferences core subject areas: data governance, data quality, and AI governance.

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FEBRUARY 9, 2024

In 2023, organizations dealt with more data than ever and witnessed a surge in demand for artificial intelligence use cases – particularly driven by generative AI. They relied on their data as a critical factor to guide their businesses to agility and success.

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Tableau

OCTOBER 7, 2024

Spencer Czapiewski October 7, 2024 - 9:59pm Madeline Lee Product Manager, Technology Partners Enabling teams to make trusted, data-driven decisions has become increasingly complex due to the proliferation of data, technologies, and tools. October 8, 2024

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NOVEMBER 18, 2024

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. Plan for data quality and governance of AI models from day one.

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Pickl AI

JUNE 10, 2025

Summary: Artificial Intelligence faces significant challenges in 2025, such as data quality, privacy concerns, algorithmic bias, lack of transparency, and talent shortages. Key Takeaways Data quality and privacy remain critical challenges for AI adoption in 2025. What Challenge Does AI Hold?

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Towards AI

NOVEMBER 8, 2024

Last Updated on November 9, 2024 by Editorial Team Author(s): Houssem Ben Braiek Originally published on Towards AI. We don’t have better algorithms; we just have more data. Peter Norvig, The Unreasonable Effectiveness of Data. But when it comes to real-world ML systems, data quality becomes the make-or-break factor.

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Dataversity

DECEMBER 18, 2024

Around this time of year, many data, analytics, and AI organizations are planning for the new year, and are dusting off their crystal balls in an effort to understand what lies ahead in 2025. But like all predictions, they are only helpful if they are right.

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JANUARY 16, 2024

To make good decisions, you need high-quality data. If your data quality is low or if your data assets are poorly governed, then you simply won’t be able to use them to make good business decisions. What are the biggest trends in data governance for 2024?

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Dataversity

JUNE 7, 2024

I was privileged to deliver a workshop at Enterprise Data World 2024. Participating in such events has multiple advantages, including becoming familiar with trending topics in the data management […] The post Enterprise Data World 2024 Takeaways: Trending Topics in Data Management appeared first on DATAVERSITY.

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Towards AI

NOVEMBER 6, 2024

Last Updated on November 6, 2024 by Editorial Team Author(s): Talha Nazar Originally published on Towards AI. This story explores CatBoost, a powerful machine-learning algorithm that handles both categorical and numerical data easily. But what if we could predict a student’s engagement level before they begin?

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Dataversity

DECEMBER 20, 2023

Without a doubt, initiatives such as generative AI (GenAI) and cloud migration have garnered the bulk of attention among influencers and data leaders this year, as organizations tried to determine how, and if, they made sense for their business.

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JANUARY 8, 2024

Let’s dive in and explore some of the key trends in location intelligence for 2024. As business users seek to streamline this process for faster decision-making, and as consumers continue to invest in location-enabled applications, the demand for easy, accessible location intelligence is expected to grow in 2024 and beyond.

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OCTOBER 17, 2024

Learn more about Chamberlain Group’s success story:  NZ Super Fund Winner: Business Impact Award Watch Geoff Smith, Head of Data Services at NZ Super Fund, share the company’s journey to instate data governance, improve data quality, and optimize spending on market information.

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Dataversity

APRIL 18, 2025

In this series of blog posts, I aim toshare some key takeaways from the DGIQ + AIGov Conference 2024 held by DATAVERSITY. These takeaways include my overall professional impressions and a high-level review of the most prominenttopics discussed in the conferences core subject areas: data governance, data quality, and AI governance.

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NOVEMBER 18, 2024

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. Plan for data quality and governance of AI models from day one.

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IBM Data Science in Practice

DECEMBER 7, 2022

IBM Multicloud Data Integration helps organizations connect data from disparate sources, build data pipelines, remediate data issues, enrich data, and deliver integrated data to multicloud platforms where it can easily accessed by data consumers or built into a data product.

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Data Science Dojo

OCTOBER 10, 2023

Link to event -> IMPACT 2o23 Key topics covered IMPACT brings together the data community to showcase the latest and greatest trends, technologies, and processes in data quality, large-language models, data and AI governance, and of course, data observability.

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Dataconomy

APRIL 2, 2025

billion valuation in 2024. However, the report also points to potential roadblocks like high implementation costs, data privacy concerns, and integration complexities. Data privacy, security, and ethical concerns also loom large, given the sensitive information these systems manage. from 2025, a massive surge from its $3.84

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JANUARY 31, 2024

As this drive toward increased efficiency and agility continues, here are the trends that we see unfolding in 2024 for automating SAP processes. Companies often try to combat these errors and improve data quality by defining hundreds of data validation rules – but that approach presents its own time-consuming challenges.

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Dataversity

DECEMBER 14, 2023

In the fast-evolving data landscape, understanding emerging trends and embracing technological advancements are key to staying ahead. As we approach 2024, this article explores the data trends that will define the strategic landscape for the coming year.

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JANUARY 22, 2024

While companies are making progress , 2024 will bring new challenges in meeting rising consumer expectations. Building that loyalty and generating sales requires investments in integrated, AI-based technologies, high-quality and readily available data, and commitment to an enterprise-wide focus on CX.

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Dataversity

DECEMBER 15, 2023

As we near the end of 2023, it is imperative for Data Management leaders to look in their rear-view mirrors to assess and, if needed, refine their Data Management strategies.

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IBM Data Science in Practice

NOVEMBER 28, 2022

IBM Multicloud Data Integration helps organizations connect data from disparate sources, build data pipelines, remediate data issues, enrich data, and deliver integrated data to multicloud platforms where it can easily accessed by data consumers or built into a data product.

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MARCH 3, 2025

Data quality and governance are critical. Without clean, governed data, automation efforts can be undermined, impacting your business outcomes and AI initiatives. Data and process automation used to be seen as luxury but those days are gone. The result?

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Towards AI

SEPTEMBER 25, 2024

Last Updated on September 27, 2024 by Editorial Team Author(s): Joseph Robinson, Ph.D. A Comprehensive Data Science Guide to Preprocessing for Success: From Missing Data to Imbalanced Datasets This member-only story is on us. As data scientists and machine learning engineers, we spend the majority of our time working with data.

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The Data Administration Newsletter

NOVEMBER 20, 2024

In my last article, “The Shift from Syntactic to Semantic Data Curation and What It Means for Data Quality” published in the August 2024 issue of this newsletter, I argued how the adoption of generative AI will change the focus and scope of data quality management (DQM).

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ODSC - Open Data Science

NOVEMBER 14, 2024

Watch Now: The Top West 2024 Recordings If you missed ODSC West 2024, check out recordings of a few of our most popular talks, workshops, and training sessions on-demand. Data Quality Assurance Strategies for Effective Digital Transformation You can prevent costly data missteps by creating a formal data quality assurance program.

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Snorkel AI

NOVEMBER 9, 2023

LLM distillation will become a much more common and important practice for data science teams in 2024, according to a poll of attendees at Snorkel AI’s 2023 Enterprise LLM Virtual Summit. Data science teams can also side-step the problems of model risk through distillation. Will “LLM distillation” be the AI word of 2024?

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