Precisely

JULY 3, 2025

To drive real AI-powered innovation, you need to deliver location data (and all enterprise data) where it’s needed – quickly, securely, and reliably. Let’s take a look at three top use cases that show the power of data integration in action. The post Disconnected Location Data?

Data Lakes 59

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Precisely

MAY 16, 2024

At the 2023 Gartner IT Symposium Research Super Focus Group, only 4% say their data is AI-ready. Next, you’ll discover the three data integrity considerations essential to success. Fuel your AI applications with trusted data to power reliable results. For more, watch the on-demand webinar: AI You Can Trust.

AI 69

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Alation

MAY 27, 2021

As governance becomes a burden, analyst productivity decreases, which often results in diminished data quality. If the analyst and other data users are supported by governance policies that work with them in mind, data quality can be maintained throughout the cycle of gathering, storing, and analyzing.

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Precisely

JANUARY 11, 2024

These efforts include adopting automation platforms with flexible, contingent workflow solutions that drive efficiencies and greater data integrity across multiple complex, data-intensive processes. The same holds true for data quality initiatives. This process is notoriously complex and error-prone.

Data Quality 59

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Precisely

NOVEMBER 13, 2023

To learn more about the real-world value of automation, digital transformation, and data quality and integrity, we were joined for a PEX Network webinar by representatives from The Coca-Cola Company and Nike: Jon Atienza, Manager, Intelligent Automation at The Coca-Cola Company Andrae Kirkland, Lead Tech Program Manager at Nike Andrew Hayden, Sr.

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Precisely

FEBRUARY 5, 2024

However, large organizations that are still using manual, error-prone processes to manage materials and SAP product data processes know that creating and maintaining all that data is a real challenge. What are the Challenges of Managing Material Master Data? Poor data quality and downstream errors.

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Precisely

SEPTEMBER 12, 2023

Our solutions deliver an unparalleled combination of software capabilities and enrichment data, accessible through a uniquely integrated and interoperable approach that allows you to deploy only the SaaS services you need when you need them.

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Data Silos Apache Kafka Data Pipeline Data Quality 52

Snorkel AI

MARCH 5, 2024

The discussion centered on the importance of data quality and the role of data augmentation techniques in improving the robustness and effectiveness of representation models. Full model fine-tuning trains the entire network on your task-specific data set. Snorkel has more live online events coming.

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Precisely

SEPTEMBER 14, 2023

To know, you need data quality components – that’s where a data management and compliance program become even more critical for financial services organizations. Sanctions and fraud: to know which businesses you can and can’t do business with, a data quality program is essential. to learn more.

Data Quality 52

Data Quality Data Observability Data Governance Analytics 52

Iguazio

FEBRUARY 20, 2024

To learn more, watch the webinar “Implementing Gen AI for Financial Services” with Larry Lerner, Partner & Global Lead - Banking and Securities Analytics, McKinsey & Company, and Yaron Haviv, Co-founder and CTO, Iguazio (acquired by McKinsey), which this blog post is based on. View the entire webinar here.

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Precisely

APRIL 6, 2023

In a recent webinar hosted by Fintech Nexus, Doug Lopp, CTO of Bend by FNBO, remarked on the role of technology in today’s financial services organizations: “Business and technology are starting to align much more closely than they ever have before, to the point where they are indistinguishable.

Data Quality 52

Data Quality Data Pipeline Analytics Analytics 52

IBM Journey to AI blog

OCTOBER 2, 2024

These professionals encounter a range of issues when attempting to source the data they need, including: Data accessibility issues: The inability to locate and access specific data due to its location in siloed systems or the need for multiple permissions, resulting in bottlenecks and delays.

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Snorkel AI

JUNE 30, 2023

Then there’s data quality, and then explainability. Arize AI The third pillar is data quality. And data quality is defined as data issues such as missing data or invalid data, high cardinality data, or duplicated data. The second is drift. What does that mean?

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Alation

FEBRUARY 17, 2023

Some data seems more analytical, while other is operational (external facing). We recommend identifying the data sources and tables that need to be considered to be governed, establishing the governance owner & data quality details, and saving those details in the catalog. Here’s an example.

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Alation

APRIL 5, 2022

That’s why we emphasize the “active” part of our Active Data Governance Methodology , which takes a people-first approach that empowers everyone to take ownership in data governance and management. Not everyone has to be a data expert — leave that to the actual experts. A “Specialty” Pizza (Newly Created or Modified Data).

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Data Governance Data Quality 52

ODSC - Open Data Science

NOVEMBER 14, 2024

Data Quality Assurance Strategies for Effective Digital Transformation You can prevent costly data missteps by creating a formal data quality assurance program. Does this make it a coding language? Here are some steps to follow to implement one.

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Data Science Data Quality AWS AI 52

Snorkel AI

MARCH 4, 2025

Data quality dependency: Success depends heavily on having high-quality preference data. When choosing an alignment method, organizations must weigh trade-offs like complexity, computational cost, and data quality requirements. Learn how to get more value from your PDF documents!

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Snorkel AI

DECEMBER 2, 2024

Efficient model evaluation and fine-tuning: After importing baseline data from AWS S3 and accessing LLMs from SageMaker Jumpstart or Bedrock, users can use Snorkel Flow’s LLM evaluation tools to build a customized, comprehensive report on their LLMs current performance. Learn how to get more value from your PDF documents! Sign up here!

AWS 52

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Alation

AUGUST 11, 2021

To answer this question, I recently joined Anthony Seraphim of Texas Mutual Insurance Company (TMIC) and David Stodder of TDWI on a webinar. The three of us talked migration strategy and the best way to move to the Snowflake Data Cloud. This underscores the importance of having a plan that fits your data strategy.

Data Governance 52

Data Governance Data Warehouse Data Classification Data Quality 52

ODSC - Open Data Science

JANUARY 18, 2024

Cybersecurity Measures to Prevent Data Poisoning Bad actors always look for ways to twist AI algorithms into something more sinister, making data poisoning a serious issue that you should be prepared for.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Alation

JUNE 14, 2021

According to a 2020 451 Research report , “data catalogs are rapidly building out automated functionality,” including “automated suggestions, automated discovery and tagging, and automated data-quality scoring.” These are essential to enabling a more rapid process of sensitive data discovery. Subscribe to Alation's Blog.

Data Governance 97

Data Governance Data Lakes Data Classification Data Quality 97

Alation

DECEMBER 2, 2022

Airline Reporting Corporation supports DDDM with a data catalog to develop new data-centric products and accelerate time-to-market. When data quality issues arise, they use the data catalog to resolve these challenges quickly. Regeneron has moved its data environment to a data catalog to support DDDM.

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Precisely

JANUARY 5, 2023

When all three components of the PPT framework are in place, data governance programs contribute to increased business speed and agility.

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Data Governance Data Quality Analytics Analytics 52

Iguazio

MAY 29, 2024

For more info, check out this MLOps Community webinar. The most common tools in use are Prometheus and Grafana Alerting, based on logs, infra, or ML monitoring outputs ML specific monitoring Experiment tracking: Parameters, models, results, etc. At the end of the day, this is all diarization is.

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Snorkel AI

JANUARY 31, 2023

Users are able to rapidly improve training data quality and model performance using integrated error analysis and model-guided feedback to develop highly accurate and adaptable AI applications. On Feb 23, Snorkel and Seldon are co-hosting a webinar showcasing the data-centric AI workflow to build an ML pipeline.

AI 52

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Snorkel AI

JANUARY 31, 2023

Users are able to rapidly improve training data quality and model performance using integrated error analysis and model-guided feedback to develop highly accurate and adaptable AI applications. On Feb 23, Snorkel and Seldon are co-hosting a webinar showcasing the data-centric AI workflow to build an ML pipeline.

AI 52

AI AI ML ML 52

IBM Journey to AI blog

JUNE 20, 2024

This includes monitoring model performance, ensuring data quality, tracking model versioning and maintaining audit trails for all activities. Discover the future of AI and data management : Elevate your business with IBM’s data and AI solutions on AWS.

AWS 55

AWS AI AI Artificial Intelligence 55

Alation

NOVEMBER 23, 2021

The same could be said about data governance : ask ten experts to define the term, and you’ll get eleven definitions and perhaps twelve frameworks. However it’s defined, data governance is among the hottest topics in data management. Organizations are governing data already, simply informally.

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Pickl AI

DECEMBER 4, 2024

Data Wrangling The process of cleaning and preparing raw data for analysis—often referred to as “ data wrangling “—is time-consuming and requires attention to detail. Ensuring data quality is vital for producing reliable results. Practice Regularly Hands-on experience is crucial in developing skills.

Data Science 52

Data Science Data Scientist Data Wrangling Machine Learning 52

Dataconomy

JULY 25, 2023

Here is why: Skill and knowledge requirements: Data science is a multidisciplinary field that demands proficiency in statistics, programming languages (such as Python or R), machine learning algorithms, data visualization, and domain expertise. Acquiring and maintaining this breadth of knowledge can be challenging and time-consuming.

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Data Science Data Scientist Machine Learning Machine Learning 91

Hacker News

JUNE 25, 2025

We will also build tools to improve data quality and enable community moderation. The overall goal is to make price data openly available for consumers, researchers, and public bodies, and to foster transparency, accessibility, and reuse of food pricing information. Want to do us a favour?

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EDA Algorithm Database Data Visualization 60

Alation

MAY 19, 2022

Check out these materials: Join the webinar: Why an Effective Data Quality Program Includes a Data Catalog. Read the Forrester Wave: Data Governance Solutions, Q3, 2021. Metadata – and the supporting tech that can share it, integrate it, and learn from it – is key to that future. Want to learn more?

Analytics 52

Analytics Analytics Data Governance Data Scientist 52

Alation

MAY 4, 2023

Enhanced data quality Data catalogs provide a robust way of tracking data assets, helping to ensure that they are accurate, complete, and up-to-date. Watch it now and take the first step toward a more efficient and effective data governance strategy !

Data Visualization 52

Data Visualization Data Governance Tableau Data Scientist 52

Dataconomy

MARCH 24, 2023

BI developer:  A BI developer is responsible for designing and implementing BI solutions, including data warehouses, ETL processes, and reports. They may also be involved in data integration and data quality assurance. They may also be involved in project management and training.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

BI developer:  A BI developer is responsible for designing and implementing BI solutions, including data warehouses, ETL processes, and reports. They may also be involved in data integration and data quality assurance. They may also be involved in project management and training.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Iguazio

AUGUST 9, 2024

This blog post is based on the webinar “Implementing Gen AI in Highly Regulated Environments” with Asaf Somekh, co-founder and CEO, and Yaron Haviv, co-founder and CTO, of Iguazio (acquired by McKinsey). Development - High quality model training, fine-tuning or prompt tuning, automated auditing and lineage.

AI 52

AI AI Data Science Deep Learning 52

Iguazio

AUGUST 9, 2024

This blog post is based on the webinar “Implementing Gen AI in Highly Regulated Environments” with Asaf Somekh, co-founder and CEO, and Yaron Haviv, co-founder and CTO, of Iguazio (acquired by McKinsey). Development - High quality model training, fine-tuning or prompt tuning, automated auditing and lineage.

AI 52

AI AI Data Science Deep Learning 52