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.

AWS 79

AWS Data Governance Data Silos SQL 79

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!

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

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.

Data Governance 59

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 Engineer 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.

AI 103

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?

AWS 125

AWS AI AI ML 125

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.

Business Intelligence 52

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.

AI 93

AI AI Data Scientist Data Governance 93

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.

Power BI 52

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.

Analytics 203

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?

Data Warehouse 92

Data Warehouse AWS AI AI 92

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

Exploratory Data Analysis Data Analysis Data Analysis Business Intelligence 101

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.

AI 122

AI AI Data Quality Data Governance 122

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

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.

Machine Learning 98

Machine Learning Machine Learning Augmented Analytics 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.

Data Governance 105

Data Governance Machine Learning Machine Learning Artificial Intelligence 105

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.

Data Lakes 73

Data Lakes AI AI Data Governance 73

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?

AI 98

AI AI Data Governance Business Intelligence 98

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.

AI 90

AI AI Machine Learning Machine Learning 90

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

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

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.

AWS 93

AWS Database ETL AI 93

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

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

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Pickl AI

APRIL 27, 2023

Data & Analytics leaders must count on these trends to plan future strategies and implement the same to make business operations more effective. One needs to stay on the same page as these changes transform the business. For example, how can we maximize business value on the current AI activities?

Analytics 52

Analytics Analytics Data Science Artificial Intelligence 52

Towards AI

JANUARY 27, 2023

Last Updated on January 27, 2023 by Editorial Team Last Updated on January 27, 2023 by Editorial Team Author(s): Puneet Jindal Originally published on Towards AI. Photo by Luke Chesser on Unsplash EDA is a powerful method to get insights from the data that can solve many unsolvable problems in business.

Exploratory Data Analysis 97

Exploratory Data Analysis Data Analysis Data Analysis EDA 97

DataRobot

JUNE 11, 2021

Starting with installing an early Oracle database in the late 1980s, she later founded a business intelligence company named BI Scorecard, then went on to work as a VP at Gartner, where she modernized that firm’s data and analytics programs. One is to be clear about the vision for a particular AI project.

Data Science 52

Data Science AI AI Computer Science 52

ODSC - Open Data Science

SEPTEMBER 27, 2023

Storage Optimization: Data warehouses use columnar storage formats and indexing to enhance query performance and data compression. Without proper version control, different users may inadvertently overwrite or modify data, leading to potential data integrity issues and confusion. Interested in attending an ODSC event?

Data Lakes 98

Data Lakes Data Warehouse Database Big Data 98

Alation

APRIL 14, 2022

This is why, when data moves, it’s imperative for organizations to prioritize data discovery. Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth. The Cloud Data Migration Challenge. Data pipeline orchestration. Cloud governance.

Data Governance 59

Data Governance ML ML Cloud Data 59

Precisely

JANUARY 25, 2024

These systems support containerized applications, virtualization, AI and machine learning, API and cloud connectivity, and more. Today’s cloud systems excel at high-volume data storage, powerful analytics, AI, and software & systems development. They’re also valued for their rock-solid reliability, boasting 99.999% uptime.

Data Governance 69

Data Governance Database Cloud Data Data Lakes 69

Alation

AUGUST 26, 2021

It asks much larger questions, which flesh out an organization’s relationship with data: Why do we have data? Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more.

Data Governance 64

Data Governance ML ML Augmented Analytics 64

Pickl AI

OCTOBER 10, 2024

Inconsistent or unstructured data can lead to faulty insights, so transformation helps standardise data, ensuring it aligns with the requirements of Analytics, Machine Learning , or Business Intelligence tools. This makes drawing actionable insights, spotting patterns, and making data-driven decisions easier.

Data Quality 52

Data Quality AWS Machine Learning Machine Learning 52

The Data Administration Newsletter

MAY 31, 2022

Synthetic Data is, according to Gartner and other industry oracles, “hot, hot, hot.” In fact, according to Gartner, “60 percent of the data used for the development of AI and analytics projects will be synthetically generated.”[1]

Analytics 105

Analytics Analytics AI AI 105

Pickl AI

JUNE 18, 2024

Summary: This blog dives into the most promising Power BI projects, exploring advanced data visualization, AI integration, IoT & blockchain analytics, and emerging technologies. Discover best practices for successful implementation and propel your organization towards data-driven success.

Power BI 52

Power BI Data Analysis Data Analysis Data Visualization 52