IBM Journey to AI blog

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

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AI News

MAY 3, 2024

Ahead of AI & Big Data Expo North America – where the company will showcase its expertise – Chuck Ros , Industry Success Director at SoftServe, provided valuable insights into the company’s AI initiatives, the challenges faced, and its future strategy for leveraging this powerful technology. .”

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Pickl AI

MARCH 7, 2025

Managing Big Data effectively helps companies optimise strategies, improve customer experience, and gain a competitive edge in todays data-driven world. Introduction Big Data is growing faster than ever, shaping how businesses and industries operate. In 2023, the global Big Data market was worth $327.26

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AI News

MAY 20, 2025

Generative AI is a data-hungry beast, relying heavily on high-quality, often sensitive, information for core functions like training models, making inferences, and, of course, generating content. After all, sound decisionmaking and reliable actions from AI systems depend entirely on the data they’re fed.

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Flipboard

NOVEMBER 14, 2023

Modern data quality practices leverage advanced technologies, automation, and machine learning to handle diverse data sources, ensure real-time processing, and foster collaboration across stakeholders.

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Unite.AI

DECEMBER 27, 2024

Its not a choice between better data or better models. The future of AI demands both, but it starts with the data. Why Data Quality Matters More Than Ever According to one survey, 48% of businesses use big data , but a much lower number manage to use it successfully. Why is this the case?

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AI News

NOVEMBER 21, 2023

Addressing this gap will require a multi-faceted approach including grappling with issues related to data quality and ensuring that AI systems are built on reliable, unbiased, and representative datasets. Companies have struggled with data quality and data hygiene.

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AI News

SEPTEMBER 24, 2024

The success of this AI-powered underwater vehicle at Seagreen wind farm not only demonstrates the potential of autonomous technology in offshore wind inspections but also sets a new standard for safety, efficiency, and data quality in the industry. Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

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Flipboard

JUNE 5, 2023

True data quality simplification requires transformation of both code and data, because the two are inextricably linked. Code sprawl and data siloing both imply bad habits that should be the exception, rather than the norm.

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Flipboard

MARCH 13, 2023

Presented by BMC Poor data quality costs organizations an average $12.9 Organizations are beginning to recognize that not only does it have a direct impact on revenue over the long term, but poor data quality also increases the complexity of data ecosystems, and directly impacts the … million a year.

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AI News

SEPTEMBER 27, 2024

First is clear alignment of the data strategy with the business goals, making sure the technology teams are working on what matters the most to the business. Second, is data quality and accessibility, the quality of the data is critical. Poor data quality will lead to inaccurate insights.

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Flipboard

JUNE 15, 2023

Data Engineers: We look into Data Engineering, which combines three core practices around Data Management, Software Engineering, and I&O. This focuses …

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ODSC - Open Data Science

JUNE 19, 2023

With the advent of big data in the modern world, RTOS is becoming increasingly important. As software expert Tim Mangan explains, a purpose-built real-time OS is more suitable for apps that involve tons of data processing. The Big Data and RTOS connection IoT and embedded devices are among the biggest sources of big data.

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Marktechpost

NOVEMBER 5, 2023

In this study, researchers from the Allen Institute for AI, the University of Washington and the University of California propose to use a collection of tools called WIMBD: WHAT’S IN MY BIG DATA, which helps practitioners rapidly examine massive language datasets to research the content of large text corpora. Data quality (e.g.,

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IBM Journey to AI blog

OCTOBER 21, 2024

These platforms function as sophisticated ecosystems, facilitating the collection, analysis, interpretation and actionable implementation of insights from diverse data sources. Companies are investing heavily in big data and artificial intelligence (AI) to unlock these benefits. million annually due to poor data quality.

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IBM Journey to AI blog

FEBRUARY 28, 2024

Sourcing teams are automating processes like data analysis as well as supplier relationship management and transaction management. This helps reduce errors to improve data quality and response times to questions, which improves customer and supplier satisfaction.

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Pickl AI

AUGUST 9, 2024

Summary: A comprehensive Big Data syllabus encompasses foundational concepts, essential technologies, data collection and storage methods, processing and analysis techniques, and visualisation strategies. Fundamentals of Big Data Understanding the fundamentals of Big Data is crucial for anyone entering this field.

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Pickl AI

DECEMBER 2, 2024

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

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Pickl AI

NOVEMBER 25, 2024

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

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Pickl AI

DECEMBER 9, 2024

Summary: This article provides a comprehensive guide on Big Data interview questions, covering beginner to advanced topics. Introduction Big Data continues transforming industries, making it a vital asset in 2025. The global Big Data Analytics market, valued at $307.51 What is Big Data?

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Unite.AI

DECEMBER 23, 2023

Some of the APM strategies employed for this include: Predictive Maintenance: By using modern AI/ML capabilities to analyze big data , this strategy can monitor an asset’s health and forecast maintenance. Root Cause Analysis (RCA): This strategy emphasizes understanding the root causes of asset failures in a structured manner.

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Unite.AI

SEPTEMBER 16, 2024

It offers both open-source and enterprise/paid versions and facilitates big data management. Key Features: Seamless integration with cloud and on-premise environments, extensive data quality, and governance tools. Pros: Scalable, strong data governance features, support for big data.

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Unite.AI

MAY 5, 2025

The platform integrates structured and unstructured dataincluding real-time inputs and employee knowledgeinto a predictive data fabric that supports strategic and operational decisions. Data quality remains the bedrock issue. Agentic AI, like any AI, provides unreliable outputs if fed poor data.

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Unite.AI

SEPTEMBER 16, 2024

It offers both open-source and enterprise/paid versions and facilitates big data management. Key Features: Seamless integration with cloud and on-premise environments, extensive data quality, and governance tools. Pros: Scalable, strong data governance features, support for big data.

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Pickl AI

OCTOBER 10, 2023

In this blog, we are going to unfold the two key aspects of data management that is Data Observability and Data Quality. Data is the lifeblood of the digital age. Today, every organization tries to explore the significant aspects of data and its applications.

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Pickl AI

MARCH 19, 2025

It is ideal for handling unstructured or semi-structured data, making it perfect for modern applications that require scalability and fast access. Apache Spark Apache Spark is a powerful data processing framework that efficiently handles Big Data. It integrates well with various data sources, making analysis easier.

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Flipboard

NOVEMBER 22, 2024

It serves as the hub for defining and enforcing data governance policies, data cataloging, data lineage tracking, and managing data access controls across the organization. Data lake account (producer) – There can be one or more data lake accounts within the organization.

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IBM Journey to AI blog

SEPTEMBER 5, 2024

Access to high-quality data can help organizations start successful products, defend against digital attacks, understand failures and pivot toward success. Emerging technologies and trends, such as machine learning (ML), artificial intelligence (AI), automation and generative AI (gen AI), all rely on good data quality.

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Unite.AI

DECEMBER 5, 2023

In this digital economy, data is paramount. Today, all sectors, from private enterprises to public entities, use big data to make critical business decisions. However, the data ecosystem faces numerous challenges regarding large data volume, variety, and velocity. Enter data warehousing!

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IBM Journey to AI blog

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

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AWS Machine Learning Blog

MARCH 18, 2025

Regulatory compliance By integrating the extracted insights and recommendations into clinical trial management systems and EHRs, this approach facilitates compliance with regulatory requirements for data capture, adverse event reporting, and trial monitoring. He helps customers implement big data, machine learning, and analytics solutions.

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AWS Machine Learning Blog

DECEMBER 4, 2024

This framework creates a central hub for feature management and governance with enterprise feature store capabilities, making it straightforward to observe the data lineage for each feature pipeline, monitor data quality , and reuse features across multiple models and teams.

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Marktechpost

JUNE 5, 2024

In addition, organizations that rely on data must prioritize data quality review. Data profiling is a crucial tool. For evaluating data quality. Data profiling gives your company the tools to spot patterns, anticipate consumer actions, and create a solid data governance plan.

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ODSC - Open Data Science

APRIL 28, 2023

But before AI/ML can contribute to enterprise-level transformation, organizations must first address the problems with the integrity of the data driving AI/ML outcomes. The truth is, companies need trusted data, not just big data. That’s why any discussion about AI/ML is also a discussion about data integrity.

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Marktechpost

APRIL 1, 2024

Existing research emphasizes the significance of distributed processing and data quality control for enhancing LLMs. Utilizing frameworks like Slurm and Spark enables efficient big data management, while data quality improvements through deduplication, decontamination, and sentence length adjustments refine training datasets.

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Unite.AI

SEPTEMBER 22, 2023

Jay Mishra is the Chief Operating Officer (COO) at Astera Software , a rapidly-growing provider of enterprise-ready data solutions. I would say modern tool sets that are designed keeping in view the requirements of the new age data that we are receiving have changed in in past few years and the volume of course has changed.

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AWS Machine Learning Blog

FEBRUARY 18, 2025

The following sections further explain the main components of the solution: ETL pipelines to transform the log data, agentic RAG implementation, and the chat application. Creating ETL pipelines to transform log data Preparing your data to provide quality results is the first step in an AI project.

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