Alation

APRIL 25, 2023

As firms mature their transformation efforts, applying Artificial Intelligence (AI), machine learning (ML) and Natural Language Processing (NLP) to the data is key to putting it into action quickly and effecitvely. Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. In this article, we explore model governance, a function of ML Operations (MLOps). Machine Learning Model Lineage. Machine Learning Model Visibility . Machine Learning Model Explainability .

Machine Learning 83

Machine Learning Modeling Metadata Recreation/Entertainment 83

Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance.

Data Governance 98

Data Governance Enterprise Data Quality Metadata 98

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.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

Alation

MARCH 5, 2021

Data governance defines how data should be gathered and used within an organization. It address core questions, such as: How does the business define data? How accurate must the data be for use? Organizations have much to gain from learning about and implementing a data governance framework.

Data Governance 59

Data Governance Data Quality Dashboards Risk 59

Alation

JANUARY 26, 2023

That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline. However, data needs to be easily accessible, usable, and secure to be useful — yet the opposite is too often the case. How can data engineers address these challenges directly?

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

Alation

APRIL 25, 2023

As firms mature their transformation efforts, applying Artificial Intelligence (AI), machine learning (ML) and Natural Language Processing (NLP) to the data is key to putting it into action quickly and effecitvely. Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

erwin

NOVEMBER 6, 2020

Prashant Parikh, erwin’s Senior Vice President of Software Engineering, talks about erwin’s vision to automate every aspect of the data governance journey to increase speed to insights. Although AI and ML are massive fields with tremendous value, erwin’s approach to data governance automation is much broader.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

Alation

MAY 12, 2022

Whether you have a traditional assembly line or employ the most cutting-edge technology, your most valuable resource is data. Data governance is the foundation on which manufacturers ensure the effective use of valuable data by giving you the ability to handle, manage, and secure your data. Here’s how.

Manufacturing 52

Manufacturing Data Governance Cost-Benefit IoT 52

Alation

JULY 6, 2021

Common Data Governance Challenges. Every enterprise runs into data governance challenges eventually. Issues like data visibility, quality, and security are common and complex. Data governance is often introduced as a potential solution. And one enterprise alone can generate a world of data.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

Alation

OCTOBER 4, 2022

At the same time, there’s a growing opportunity to learn from customer data to deliver superior products and services. For these reasons, insurers are adopting data governance solutions for a range of use cases. What is Data Governance in the Insurance Industry? Why is it Important?

Insurance 52

Insurance Data Governance Risk Strategy 52

Alation

SEPTEMBER 14, 2021

The importance of data governance is growing. Here at Alation, we’ve seen the demand for new robust governance capabilities skyrocket in the past year. Alation Data Governance App. The Data Governance App introduces a range of new capabilities to make governance more easy and effective.

Data Governance 52

Data Governance Dashboards Measurement Machine Learning 52

Alation

JULY 15, 2021

Many data catalog initiatives fail. According to the latest report from Eckerson Group, Deep Dive on Data Catalogs , shoppers must match the goals of their organizations to the capabilities of their chosen catalog. A data catalog’s approach is key. Data Governance: Access with Compliance Guidance.

Reporting 98

Reporting Data Governance Recreation/Entertainment Metadata 98

BI-Survey

FEBRUARY 17, 2020

Data and data management processes are everywhere in the organization so there is a growing need for a comprehensive view of business objects and data. It is therefore vital that data is subject to some form of overarching control, which should be guided by a data strategy. This is where data governance comes in.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

Alation

JULY 21, 2021

I’m pleased to share that Alation has been named a data governance leader in the new report, The Forrester Wave : Data Governance Solutions, Q3 2021. This recognition from Forrester is gratifying, as it aligns with the success our customers are having with Alation and their data governance programs.

Data Governance 52

Data Governance Reporting Enterprise Finance 52

Alation

DECEMBER 15, 2021

Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information. Data governance requires a system.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

CIO Business Intelligence

DECEMBER 19, 2023

The analyst reports tell CIOs that generative AI should occupy the top slot on their digital transformation priorities in the coming year. Moreover, the CEOs and boards that CIOs report to don’t want to be left behind by generative AI, and many employees want to experiment with the latest generative AI capabilities in their workflows.

Digital Transformation 137

Digital Transformation Unstructured Data Machine Learning Risk Management 137

Alation

FEBRUARY 20, 2020

One reason is because traditional data governance models conform to an old world of analytics that focus on controlling data access and fail to succeed in the free-flowing world of self-service reporting, BI, and analytics. How Data Catalogs Can Help. [2] -->. Conclusion. Subscribe to Alation's Blog.

Data Governance 52

Data Governance Data Lake Dashboards Big Data 52

O'Reilly on Data

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Deep Learning.

Big Data 207

Big Data Technology Machine Learning Deep Learning 207

AWS Big Data

FEBRUARY 27, 2024

Four-layered data lake and data warehouse architecture – The architecture comprises four layers, including the analytical layer, which houses purpose-built facts and dimension datasets that are hosted in Amazon Redshift. Lake Formation – Lake Formation emerged as a cornerstone in Bluestone’s data governance strategy.

Data-driven 97

Data-driven Data Lake Data Quality Data Governance 97

CIO Business Intelligence

MARCH 7, 2023

Tech companies have laid off over 250 thousand employees since 2022, and 93% of CEOs report preparing for a US recession over the next 12 to 18 months. Align data science and data governance programs Remember when infosec was brought in at the end of the application development process and had little time and opportunity to address issues?

Digital Transformation 141

Digital Transformation Data Governance Experimentation Machine Learning 141

Octopai

NOVEMBER 5, 2019

Uses of data dictionaries are mainly technical: database designers, database administrators, developers, and BI professionals use them for such things as developing applications using a database and combining data from different sources into reports. Modern data mapping tools are more intelligent than ever.

Machine Learning 44

Machine Learning Metadata Data Governance Data Warehouse 44

Rocket-Powered Data Science

MARCH 20, 2023

Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Source: [link] SAP also announced key partners that further enhance Datasphere as a powerful business data fabric.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Unstructured Data 325

O'Reilly on Data

JANUARY 29, 2019

In 2017, we published “ How Companies Are Putting AI to Work Through Deep Learning ,” a report based on a survey we ran aiming to help leaders better understand how organizations are applying AI through deep learning. We found companies were planning to use deep learning over the next 12-18 months.

Deep Learning 207

Deep Learning Machine Learning Data Science Metadata 207

CIO Business Intelligence

MAY 20, 2024

Artificial intelligence and machine learning Unsurprisingly, AI and machine learning top the list of initiatives CIOs expect their involvement to increase in the coming year, with 80% of respondents to the State of the CIO survey saying so. Other surveys offer similar findings. 1 priority among its respondents as well.

IT 134

IT Risk Management Machine Learning Risk 134

Octopai

APRIL 24, 2023

Data Lineage Benefits: With the new integration, data analysts and ML data scientists can visualize data pipelines, improving data governance and quality. Data architects can create a comprehensive data catalog, increasing operational efficiency and cost savings.

Cost-Benefit 96

Cost-Benefit Data-driven Data Warehouse Data Governance 96

BI-Survey

FEBRUARY 6, 2020

Modernizing and optimizing enterprise reporting – or classical BI – has not been such a priority for many of today’s organizations, even though it constitutes the backbone of information supply for decision support. Technological innovations and their increasing proliferation are shaping enterprise reporting and BI.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

Peter James Thomas

AUGUST 4, 2020

As usual, the new definitions range across the data arena: from Data Science and Machine Learning; to Information and Reporting; to Data Governance and Controls. Boosting [Machine Learning]. Conformed Data (Conformed Dimension). Data Capability. Data Driven.

Data Analytics 98

Data Analytics Analytics Machine Learning Data Governance 98

Alation

JUNE 16, 2021

To arrive at a fair score, Dresner surveyed the users of actual data catalogs, asking them to rate vendor features. “In In rating the data catalog vendors, we considered all data catalog, collaborative, and governance features as reported by vendors and weighted by users. Data governance is a growing focus.

Reporting 52

Reporting Business Intelligence Data Governance Metadata 52

O'Reilly on Data

FEBRUARY 11, 2020

Just 20% of organizations publish data provenance and data lineage. Adopting AI can help data quality. Almost half (48%) of respondents say they use data analysis, machine learning, or AI tools to address data quality issues. Can AI be a catalyst for improved data quality?

Data Quality 299

Data Quality Metadata Data Governance Publishing 299

Alation

JUNE 30, 2021

Alation has been named one of the Leaders in the GigaOm Radar for Data Catalogs Report. The inaugural research report marks a growing recognition of the importance of the data catalog in an enterprise’s data ecosystem. Data culture springs from human collaboration and innovation. The Data Catalog Solution.

Reporting 52

Reporting Metadata Data-driven Marketing 52

IBM Big Data Hub

APRIL 10, 2023

To further the above, organizations should have the right foundation that consists of a modern data governance approach and data architecture. Everyone would be using the same data set to make informed decisions which may range from goal setting to prioritizing investments in sustainability.

Strategy 87

Strategy Data Architecture Cost-Benefit Reporting 87

CIO Business Intelligence

NOVEMBER 7, 2023

But what exactly is involved in breaking down data silos? Centralized reporting boosts data value For more than a decade, pediatric health system Phoenix Children’s has operated a data warehouse containing more than 120 separate data systems, providing the ability to connect data from disparate systems.

Data Warehouse 136

Data Warehouse Digital Transformation Data-driven Reporting 136

Laminar Security

DECEMBER 13, 2023

This is further exacerbated by the employment of outdated processes or solutions that are ill-equipped to cater to the demands of present-day cloud data security. Traditional methods of data management are no longer sufficient for handling the vast and complex data landscape.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

Alation

FEBRUARY 1, 2022

A new research report by Ventana Research, Embracing Modern Data Governance , shows that modern data governance programs can drive a significantly higher ROI in a much shorter time span. And with data collection and replication growing so quickly, governance is more important than ever.

Data Lake 52

Data Lake Data Governance ROI Cost-Benefit 52

Alation

JULY 19, 2021

This requires a metadata management solution to enable data search & discovery and data governance, both of which empower access to both the metadata and the underlying data to those who need it. In today’s world, metadata management best practices call for a data catalog. Administrative information.

Metadata 105

Metadata Management Data Governance Machine Learning 105

Alation

JUNE 14, 2021

And third is what factors CIOs and CISOs should consider when evaluating a catalog – especially one used for data governance. The Role of the CISO in Data Governance and Security. They want CISOs putting in place the data governance needed to actively protect data. So CISOs must protect data.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97