Precisely

NOVEMBER 18, 2024

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. Plan for data quality and governance of AI models from day one.

Analytics 59

Analytics Analytics AI AI 59

Dataversity

DECEMBER 17, 2024

In 2025, preventing risks from both cyber criminals and AI use will be top mandates for most CIOs. Ransomware in particular continues to vex enterprises, and unstructured data is a vast, largely unprotected asset.

Data Governance 64

Data Governance AI AI Data Quality 64

Pickl AI

DECEMBER 15, 2024

Summary : This guide provides an in-depth look at the top data warehouse interview questions and answers essential for candidates in 2025. Covering key concepts, techniques, and best practices, it equips you with the knowledge needed to excel in interviews and demonstrates your expertise in data warehousing.

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Data Warehouse ETL Database Data Quality 52

Dataversity

DECEMBER 4, 2024

After all, the typical business has been making extensive use of data to help streamline its operations and decision-making for years, and many companies have long had data management tools in place.

Data Quality 52

Data Quality Data Governance 52

Dataversity

JULY 12, 2024

It is estimated that by 2025, 50% of digital work will be automated through these LLM models. At their core, LLMs are trained on large amounts of content and data, and the architecture […] The post RAG (Retrieval Augmented Generation) Architecture for Data Quality Assessment appeared first on DATAVERSITY.

Data Quality 64

Data Quality Artificial Intelligence Artificial Intelligence AI 64

Women in Big Data

APRIL 3, 2025

The 4th edition of the CAP IT congress was held on March 18, 2025, at the Palais des Congrs, gathering 600 participants. Women in Big Data Paris , a historical partner, had the pleasure of participating in this day filled with exchanges and opportunities around technological challenges in the Banking, Insurance, and Finance sectors.

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Precisely

SEPTEMBER 18, 2024

This means it’s more important than ever to make data-driven decisions, cut costs, and improve efficiency. Get your copy of the full report for all the strategic insights you need to build a winning data strategy in 2025. Data quality is the top data integrity challenge for 64% of organizations this year, up from 50% last year.

Data Quality 72

Data Quality Data Governance Analytics Analytics 72

Dataconomy

APRIL 2, 2025

With Bitcoin surpassing $87,000 in March 2025, AI and data science have become essential tools in crypto trading, enabling the extraction of meaningful insights from complex market data. What does Bitcoin price forecast data models say? So whats the outlook for BTC?

Data Science 103

Data Science Natural Language Processing Machine Learning Machine Learning 103

Women in Big Data

MAY 23, 2025

Key Takeaways from Saturday’s round of Lightning Talks on May 17 2025: LLM Inference Optimization (Speaker: Simran Gambani , Bhakti Hinduja ) Key-Value Caching & Quantization enhance efficiency while reducing compute costs. AI scalability demands energy-efficient inference to mitigate high power consumption challenges.

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Big Data Big Data Data Quality ML 52

Precisely

OCTOBER 14, 2024

Data analysis (57%) is the top-cited reason organizations are considering the use of AI. The top data challenge inhibiting the progress of AI initiatives is data governance (62%). The 2025 Outlook: Data Integrity Trends and Insights report is here! What are the latest data integrity trends you need to know about?

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Data Governance AI AI Data Analysis 69

Precisely

DECEMBER 5, 2024

Depending on their needs, infrastructure, and the external datasets they source, organizations can encounter obstacles with onboarding and integrating third-party data, leading to extended time to value and increased cost. Ask yourself: Is the data format standardized? How will data quality be monitored? The top answer?

Data Quality 69

Data Quality Data Engineering Data Engineer Data Engineering 69

AWS Machine Learning Blog

OCTOBER 9, 2024

The service, which was launched in March 2021, predates several popular AWS offerings that have anomaly detection, such as Amazon OpenSearch , Amazon CloudWatch , AWS Glue Data Quality , Amazon Redshift ML , and Amazon QuickSight. You can review the recommendations and augment rules from over 25 included data quality rules.

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Precisely

MARCH 3, 2025

Data quality and governance are critical. Without clean, governed data, automation efforts can be undermined, impacting your business outcomes and AI initiatives. Data and process automation used to be seen as luxury but those days are gone. The result?

Data Quality 59

Data Quality Artificial Intelligence Artificial Intelligence AI 59

Towards AI

APRIL 26, 2025

Last Updated on April 26, 2025 by Editorial Team Author(s): Tomer Gabay Originally published on Towards AI. image by Author] In the Netherlands, we have rules that determine the maximum rent allowed for a dwelling based on its properties and quality. Of our ~50,000 self-contained dwellings, ~25,000 have a near-perfect data quality.

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Data Quality Python AI AI 73

Precisely

MAY 12, 2025

But heres a fundamental challenge that many organizations face and one Ive encountered in countless conversations with customers: they dont fully understand what data they have, let alone whether they can trust it. Wasted resources: Teams spend excessive time searching for and verifying data. That leads to costly business mistakes.

Data Quality 64

Data Quality Data Classification Data Governance Artificial Intelligence 64

Flipboard

FEBRUARY 12, 2025

Wed like to share five key themes for AI in 2025 that undoubtedly come with challenges for businesses but also the potential to redefine whats possible. The year 2025 will see them rapidly evolve and act more autonomously. This will only worsen, and companies must learn to adapt their models to unique, content-rich data sources.

AI 65

AI AI Data Silos Artificial Intelligence 65

Dataconomy

DECEMBER 17, 2024

Project management is crucial in 2025 for any business. Businesses project planning is key to success and now they are increasingly rely on data projects to make informed decisions, enhance operations, and achieve strategic goals. Key questions to ask: What data sources are required? What are the data quality expectations?

Data Quality 91

Data Quality Power BI Data Engineering Data Engineering 91

Dataversity

FEBRUARY 6, 2025

Heading into 2025, businesses are faced with managing increasingly complex data ecosystems. Maintaining data integrity when moving data has never been more critical, and ensuring it has become more challenging. Though often necessary, moving critical business data leaves organizations at risk of data loss and corruption.

Data Governance 72

Data Governance Data Quality 72

Dataconomy

APRIL 2, 2025

from 2025, a massive surge from its $3.84 Data privacy, security, and ethical concerns also loom large, given the sensitive information these systems manage. The report also notes the dependence on high-quality data and training models; poor data quality can lead to inaccurate results and poor decision-making.

Natural Language Processing 91

Natural Language Processing Machine Learning Machine Learning AI 91

SAS Software

MARCH 12, 2025

The Bank of Englands Prudential Regulation Authority (PRA) sent a letter to the CEOs of UK deposit holders outlining its supervisory priorities for 2025. The post Banking in 2025: How the Bank of England is raising the bar appeared first on SAS Blogs. The letter sets expectations for stronger [.]

Data Quality 52

Data Quality Data Governance 52

PyImageSearch

JANUARY 6, 2025

In quality control, an outlier could indicate a defect in a manufacturing process. By understanding and identifying outliers, we can improve data quality, make better decisions, and gain deeper insights into the underlying patterns of the data. Huot, and P. Thakur, eds.,

Python 124

Python Deep Learning Deep Learning Clustering 124

Precisely

DECEMBER 18, 2024

Correcting bad addresses is just the beginning you need to then connect those clean addresses to other valuable data points to unlock real value. Leverage solutions for address verification, geocoding, address autocomplete, and address data to improve address data quality strategies. The results are in!

Data Quality 59

Data Quality Analytics Analytics AI 59

Dataversity

MARCH 4, 2025

While external data is getting increasingly difficult to access and manage securely, the demand for data is exploding.

Data Governance 52

Data Governance Data Quality 52

Dataconomy

MAY 15, 2025

Together AI, the leading AI Acceleration Cloud, has acquired Refuel.ai, a specialist in transforming unstructured data into structured datasets for AI applications, to accelerate the development of production-grade AI applications. The acquisition was announced on May 15, 2025, in San Francisco. CEO Rishabh Bhargava.

AI 91

AI AI Data Preparation Data Quality 91

Flipboard

MAY 20, 2025

By combining these strategies, the pipeline becomes increasingly adaptivecontinually improving data quality and enabling scalable, metadata-driven insights across the enterprise. The file upload might take some time depending on the document size. Key metadata attributes are automatically identified from the call.

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Data Lakes AWS Analytics Analytics 132

Precisely

JANUARY 9, 2023

With global data creation projected to grow to more than 180 zettabytes by 2025 , it’s not surprising that more organizations than ever are looking to harness their ever-growing datasets to drive more confident business decisions. As data initiatives become more sophisticated, organizations will uncover new data quality challenges.

Data Governance 81

Data Governance Data Quality Data Observability Data Pipeline 81

Dataversity

MAY 24, 2021

Analysts predict the big data market will grow by over $100 billion by 2025 due to more and more companies investing in technology to drive more business decisions from big data collection. The post The Dos and Don’ts of Navigating the Multi-Billion-Dollar Big Data Industry appeared first on DATAVERSITY.

Big Data 97

Big Data Big Data Data Quality Data Governance 97

Dataconomy

MARCH 20, 2025

We met with Betsabeh Madani-Hermann , Global Head of Research at Philips, at the Web Summit Qatar 2025. Betsabeh Madani-Hermann: Reliable data sourcing and validation remain significant challenges. Data quality directly impacts AI outcomes; thus, critically assessing and asking the right questions about AI models is essential.

AI 91

AI AI Data Quality 91

Dataversity

DECEMBER 18, 2024

Around this time of year, many data, analytics, and AI organizations are planning for the new year, and are dusting off their crystal balls in an effort to understand what lies ahead in 2025. But like all predictions, they are only helpful if they are right.

Analytics 52

Analytics Analytics AI AI 52

Pickl AI

APRIL 9, 2025

It provides insights into considerations for choosing the right tool, ensuring businesses can optimize their data integration processes for better analytics and decision-making. Introduction In todays data-driven world, organizations are overwhelmed with vast amounts of information.

ETL 52

ETL Data Warehouse AWS Business Intelligence 52

Pickl AI

DECEMBER 9, 2024

Introduction Big Data continues transforming industries, making it a vital asset in 2025. The global Big Data Analytics market, valued at $307.51 Key challenges include data storage, processing speed, scalability, and security and compliance. What is the Role of Zookeeper in Big Data? What is Schema-on-read?

Big Data 52

Big Data Big Data Hadoop Apache Kafka 52

IBM Journey to AI blog

OCTOBER 21, 2024

The data conundrum: Managing the rise of data creation As we delve into the datasphere, the numbers are staggering. Global data creation is projected to surpass 180 zettabytes by 2025, a meteoric rise from the already overwhelming 64 zettabytes documented in 2020. million annually due to poor data quality.

Data Governance 87

Data Governance Data Quality Analytics Analytics 87

Precisely

OCTOBER 17, 2024

This year, our annual Data Integrity Summit, Trust ’24, was better than ever – and a big part of what made the event so exciting was our first-ever Data Integrity Awards ! As you plan for 2025, get inspired with their success stories today.

Data Governance 69

Data Governance Data Quality Artificial Intelligence Artificial Intelligence 69

Towards AI

FEBRUARY 17, 2025

Last Updated on February 17, 2025 by Editorial Team Author(s): Paul Ferguson, Ph.D. RAFT vs Fine-Tuning Image created by author As the use of large language models (LLMs) grows within businesses, to automate tasks, analyse data, and engage with customers; adapting these models to specific needs (e.g., balance, outliers).

Database 89

Database Data Pipeline Data Preparation Data Quality 89

Towards AI

FEBRUARY 18, 2025

It has already inspired me to set new goals for 2025, and I hope it can do the same for other ML engineers. New Standard of Data quality Deepseek has made significant strides in understanding the role of training data quality in AI model development. They also inspired a bunch of new potentials for ML engineers.

ML 91

ML ML Data Quality Algorithm 91

Dataversity

DECEMBER 16, 2020

According to IDC, the size of the global datasphere is projected to reach 163 ZB by 2025, leading to the disparate data sources in legacy systems, new system deployments, and the creation of data lakes and data warehouses. Most organizations do not utilize the entirety of the data […].

Data Warehouse 69

Data Warehouse Data Lakes Data Profiling Data Quality 69

Precisely

SEPTEMBER 11, 2023

It provides a unique ability to automate or accelerate user tasks, resulting in benefits like: improved efficiency greater productivity reduced dependence on manual labor Let’s look at AI-enabled data quality solutions as an example. Problem: “We’re unsure about the quality of our existing data and how to improve it!”

Data Quality 52

Data Quality AI AI ML 52