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 ETL Data Observability 98

IBM Journey to AI blog

SEPTEMBER 5, 2024

The best way to build a strong foundation for data success is through effective data governance. Access to high-quality data can help organizations start successful products, defend against digital attacks, understand failures and pivot toward success.

Data Governance 75

Data Governance Data Quality DataOps Artificial Intelligence 75

AWS Machine Learning Blog

APRIL 3, 2025

At the heart of this transformation is the OMRON Data & Analytics Platform (ODAP), an innovative initiative designed to revolutionize how the company harnesses its data assets. Data governance challenges Maintaining consistent data governance across different systems is crucial but complex.

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AWS Data Governance Data Silos SQL 82

Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. This aspect can be applied well to Process Mining, hand in hand with BI and AI. Click to enlarge!

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Data Models Data Modeling Business Intelligence Business Intelligence 245

Dataconomy

MARCH 28, 2025

Decision intelligence is revolutionizing how organizations approach decision-making by integrating advanced technologies like AI and machine learning with traditional decision theory. This innovative blend not only enhances insight generation but also helps businesses navigate increasingly complex environments.

Data Science 91

Data Science Machine Learning Machine Learning Business Intelligence 91

Precisely

NOVEMBER 5, 2024

2025 Outlook: Essential Data Integrity Insights What’s trending in trusted data and AI readiness for 2025? Read the report Data Trust is on the Decline Organizations have struggled with poor-quality data for years, resulting in a deeply-rooted lack of trust in the data being used for analytics and AI.

Data Quality 59

Data Quality Analytics Analytics Data Governance 59

Alation

SEPTEMBER 7, 2021

In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. So why are organizations not able to scale governance? Meet Governance Requirements.

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Data Governance Data Scientist Data Quality Data Profiling 59

Alation

JANUARY 26, 2023

These data requirements could be satisfied with a strong data governance strategy. Governance can — and should — be the responsibility of every data user, though how that’s achieved will depend on the role within the organization. Low quality In many scenarios, there is no one responsible for data administration.

Data Governance 52

Data Governance Data Engineering Data Engineering Data Engineering 52

IBM Journey to AI blog

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

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AI AI Data Governance Data Pipeline 103

AWS Machine Learning Blog

OCTOBER 2, 2024

Large enterprises are building strategies to harness the power of generative AI across their organizations. Managing bias, intellectual property, prompt safety, and data integrity are critical considerations when deploying generative AI solutions at scale. What’s different about operating generative AI workloads and solutions?

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AWS AI AI ML 128

Dataconomy

APRIL 16, 2025

This modular approach allows businesses to assemble tools and techniques that perfectly fit their specific needs, rather than relying on less flexible monolithic systems. Composable analytics refers to an agile, adaptable framework for data analytics that allows users to create customized analytical environments using modular components.

Analytics 91

Analytics Analytics Data Analysis Data Analysis 91

Defined.ai blog

AUGUST 10, 2023

Welcome to the world of financial data, where every digit has a story to tell, and Artificial Intelligence (AI) assumes the role of a compelling storyteller. With more companies shifting towards data-driven decision-making, understanding financial data and leveraging AI’s power has never been more crucial.

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Business Intelligence Business Intelligence Data Analysis Data Analysis 52

IBM Journey to AI blog

OCTOBER 12, 2023

But the implementation of AI is only one piece of the puzzle. The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly.

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AI AI Data Scientist Data Governance 93

Dataconomy

MAY 27, 2025

Importance of data quality The prioritization of data quality is rooted in its significant impact on various business operations. High-quality data supports advanced analytics, enhances customer insights, and establishes a foundation for data governance.

Data Quality 91

Data Quality Data Governance Business Intelligence Business Intelligence 91

Pickl AI

NOVEMBER 5, 2024

Introduction Business Intelligence (BI) tools are crucial in today’s data-driven decision-making landscape. They empower organisations to unlock valuable insights from complex data. Tableau and Power BI are leading BI tools that help businesses visualise and interpret data effectively. billion in 2023.

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Power BI Tableau Business Intelligence Business Intelligence 52

Dataconomy

SEPTEMBER 4, 2023

Data models help visualize and organize data, processing applications handle large datasets efficiently, and analytics models aid in understanding complex data sets, laying the foundation for business intelligence. AI and augmented analytics assist users in navigating complex data sets, offering valuable insights.

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Analytics Analytics Big Data Analytics Big Data Analytics 203

IBM Journey to AI blog

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics. What is watsonx.data?

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Data Warehouse AWS AI AI 92

AWS Machine Learning Blog

JUNE 9, 2025

In this post, we share how implementing Amazon Q Business transformed our operations by democratizing AI access across our organization while maintaining stringent security standards, resulting in an average savings of 2.7 Kip AI demonstrates how we’ve comprehensively integrated AI capabilities with our existing data infrastructure.

AI 79

AI AI AWS Business Intelligence 79

DataRobot

JANUARY 20, 2022

Shifting to Proactive Healthcare Delivery with AI. The UK Government Health and Care Bill sets up Integrated Care Systems (ICSs) as legal entities from July 2022. Key Data Challenges for Integrated Care Systems in 2022. Figure 1: Turning ICS data challenges into data-driven opportunity. The Case for Change.

Data Science 145

Data Science Data Warehouse Analytics Analytics 145

The Data Administration Newsletter

JANUARY 17, 2024

Eric Siegel’s “The AI Playbook” serves as a crucial guide, offering important insights for data professionals and their internal customers on effectively leveraging AI within business operations.

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AI AI Data Quality Data Governance 122

IBM Journey to AI blog

MAY 17, 2024

The push to enhance productivity, use resources wisely, and boost sustainability through data-driven decision-making is stronger than ever. Yet, the low adoption rates of business intelligence (BI) tools present a significant hurdle.

Exploratory Data Analysis 101

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The Data Administration Newsletter

JUNE 19, 2024

AI governance has become a critical topic in today’s technological landscape, especially with the rise of AI and GenAI. Implementing effective guardrails for AI governance has become a major point of discussion, with a […]

AI 98

AI AI Data Governance Business Intelligence 98

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.

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Data Governance Machine Learning Machine Learning Artificial Intelligence 105

Dataversity

JULY 21, 2022

Despite its many benefits, the emergence of high-performance machine learning systems for augmented analytics over the last 10 years has led to a growing “plug-and-play” analytical culture, where high volumes of opaque data are thrown arbitrarily at an algorithm until it yields useful business intelligence.

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Machine Learning Machine Learning Augmented Analytics Business Intelligence 98

Dataconomy

MAY 27, 2025

Staying agile with emerging technologies Whether it is cloud computing, machine learning, or AI implementations, an MIS graduate is well-positioned to adapt. An MIS background positions professionals to objectively evaluate such technologies and select those consistent with business objectives.

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Analytics Analytics Database Data Warehouse 91

Dataconomy

MAY 26, 2025

Big data management refers to the strategies and processes involved in handling extensive volumes of structured and unstructured data to ensure high data quality and accessibility for analytics and business intelligence applications.

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Big Data Big Data Apache Hadoop Data Quality 91

IBM Journey to AI blog

AUGUST 4, 2023

Data democratization instead refers to the simplification of all processes related to data, from storage architecture to data management to data security. It also requires an organization-wide data governance approach, from adopting new types of employee training to creating new policies for data storage.

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Data Lakes AI AI Data Governance 73

The Data Administration Newsletter

DECEMBER 18, 2024

Data is the supply chain for AI. For generative AI, even in fine-tuned, company-specific large language models, the data that is input into training data comes from a host of different sources.

AI 52

AI AI Data Governance Business Intelligence 52

Towards AI

JANUARY 27, 2025

Last Updated on January 28, 2025 by Editorial Team Author(s): Alden Do Rosario Originally published on Towards AI. A Practical SelfAssessment for Businesses and Individuals) Deepseek just turned the AI world upside down with its new R1 model. Use Case Clarity: What Do You Want from an AI?

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AI AI Data Governance Business Intelligence 96

IBM Journey to AI blog

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

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AI AI Machine Learning Machine Learning 90

IBM Journey to AI blog

JUNE 29, 2023

This may involve consolidating data from enterprise resource planning (ERP) systems, customer relationship management (CRM) systems, supply chain management systems, and other relevant sources. Implementing advanced analytics and business intelligence tools can further enhance data analysis and decision-making capabilities.

Analytics 94

Analytics Analytics Business Intelligence Business Intelligence 94

Precisely

APRIL 25, 2024

Jean-Paul sat down for an interview where we discussed his background as a former CDO, the challenges he faced, and how he developed his unique perspective and data governance expertise. After starting my career in banking IT, I turned to consulting, and more specifically to Business Intelligence (BI) in 2004.

Data Governance 69

Data Governance Data Quality Artificial Intelligence Artificial Intelligence 69

IBM Journey to AI blog

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

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Dataconomy

MAY 17, 2023

One such technology that has revolutionized the way sales teams operate is artificial intelligence Defining artificial intelligence (AI) Artificial intelligence refers to the development of computer systems that can perform tasks that typically require human intelligence.

Artificial Intelligence 87

Artificial Intelligence Artificial Intelligence AI AI 87

The Data Administration Newsletter

APRIL 16, 2025

Take One: AI As the Fix for U.S.-Africa Africa Relations A student recently asked: How can AI transform the relationships between the U.S. The premise is compelling AI has the potential to drive transparency, trade, and governance reform, resetting relationships on healthier grounds. and African countries?

AI 52

AI AI Data Governance Big Data 52

IBM Journey to AI blog

JULY 3, 2024

By 2026, over 80% of enterprises will deploy AI APIs or generative AI applications. AI models and the data on which they’re trained and fine-tuned can elevate applications from generic to impactful, offering tangible value to customers and businesses. Data is exploding, both in volume and in variety.

AI 45

AI AI Data Quality Database 45

Pickl AI

JULY 3, 2023

What is Business Intelligence? Business Intelligence (BI) refers to the technology, techniques, and practises that are used to gather, evaluate, and present information about an organisation in order to assist decision-making and generate effective administrative action. billion in 2015 and reached around $26.50

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Business Intelligence Business Intelligence SQL Data Visualization 52