AI News

DECEMBER 9, 2024

The best way to overcome this hurdle is to go back to data basics. Organisations need to build a strong data governance strategy from the ground up, with rigorous controls that enforce data quality and integrity. The best way to reduce the risks is to limit access to sensitive data.

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Explainability AI AI LLM 274

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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Data Quality Data Drift Explainability Big Data 130

Unite.AI

OCTOBER 30, 2024

Data quality is another critical concern. AI systems are only as good as the data fed into them. If the input data is outdated, incomplete, or biased, the results will inevitably be subpar. Another important consideration is data quality.

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Automation Data Quality AI AI 189

Unite.AI

NOVEMBER 15, 2024

It necessitates having access to the right data — data that provides rich context on actual business spend patterns, supplier performance, market dynamics, and real-world constraints. Inadequate access to data means life or death for AI innovation within the enterprise.

Automation 269

Automation ChatGPT AI AI 269

Aiiot Talk

MAY 25, 2023

However, bad data can have the opposite effect—clouding your judgment and leading to missteps and errors. Learn more about the importance of data quality and how to ensure you maintain reliable data quality for your organization. Why Is Ensuring Data Quality Important?

Data Quality 130

Data Quality Data Integration Robotics Artificial Intelligence 130

Unite.AI

JULY 31, 2023

The Importance of Quality Data Clean data serves as the foundation for any successful AI application. AI algorithms learn from data; they identify patterns, make decisions, and generate predictions based on the information they're fed. Consequently, the quality of this training data is paramount.

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Data Quality Algorithm Automation AI 130

Unite.AI

JANUARY 2, 2025

AI has the opportunity to significantly improve the experience for patients and providers and create systemic change that will truly improve healthcare, but making this a reality will rely on large amounts of high-quality data used to train the models. Why is data so critical for AI development in the healthcare industry?

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AI Modeling Algorithm AI Tools AI Developer 306

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.

Data Quality 121

Data Quality Big Data Data Science Machine Learning 121

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.

Data Quality 123

Data Quality Big Data Machine Learning 123

Unite.AI

AUGUST 28, 2024

Challenges of Using AI in Healthcare Physicians, doctors, nurses, and other healthcare providers face many challenges integrating AI into their workflows, from displacement of human labor to data quality issues. Some providers might also disregard ethics and use patient data without permission.

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Data Quality Algorithm AI AI 317

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 …

Data Quality 149

Data Quality Software Engineer Big Data Machine Learning 149

Unite.AI

NOVEMBER 13, 2024

In the coming years, I expect a few key trends to shape the AI and data observability market. Real-time data observability will become more critical as enterprises look to make faster, more informed decisions.

Machine Learning 147

Machine Learning Large Language Models Data Quality Automation 147

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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Big Data Data Quality Generative AI Explainability 322

Unite.AI

FEBRUARY 21, 2025

Akeneo is the product experience (PX) company and global leader in Product Information Management (PIM). How is AI transforming product information management (PIM) beyond just centralizing data? Akeneo is described as the “worlds first intelligent product cloud”what sets it apart from traditional PIM solutions?

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Natural Language Processing NLP Categorization Algorithm 147

Unite.AI

NOVEMBER 20, 2024

Journalists do require some technical details, however, long-winded descriptions highlighting the complexity of your deep learning architecture or data quality will lead to you blending in with thousands of other tech-first firms. As with any evolving technology, there’s a great deal of education that needs to take place.

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Deep Learning Natural Language Processing Machine Learning AI 147

AI News

SEPTEMBER 24, 2024

The data collected by the AI-driven vehicle will support ongoing operational reliability at the site, offering valuable information on areas such as marine growth and potential erosion at the foundations. See also: Hugging Face is launching an open robotics project Want to learn more about AI and big data from industry leaders?

Robotics 323

Robotics Big Data AI AI 323

Unite.AI

JULY 19, 2024

That's an AI hallucination, where the AI fabricates incorrect information. The consequences of relying on inaccurate information can be severe for these industries. These tools help identify when AI makes up information or gives incorrect answers, even if they sound believable. What Are AI Hallucination Detection Tools?

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LLM AI AI Data Quality 279

Unite.AI

MARCH 14, 2025

Add in common issues like poor data quality, scalability limits, and integration headaches, and its easy to see why so many GenAI PoCs fail to move forward. Keep your stakeholders and leadership informed on progress. Select a use case with production in mind First and foremost, choose a use case with a clear path to production.

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Automation Data Quality LLM Generative AI 113

Unite.AI

JANUARY 30, 2025

The vision for illumex emerged during my studies, where I imagined information being accessible through mindmap-like associations rather than traditional databases – enabling direct access to relevant data without extensive human consultation.

Automation 147

Automation Metadata Explainability Data Scientist 147

IBM Journey to AI blog

OCTOBER 21, 2024

Fragmented data stacks, combined with the promise of generative AI, amplify productivity pressure and expose gaps in enterprise readiness for this emerging technology. While turning data into meaningful intelligence is crucial, users such as analysts and data scientists are increasingly overwhelmed by vast quantities of information.

Data Quality 218

Data Quality Data Scientist Big Data Artificial Intelligence 218

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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ML Data Science Metadata DevOps 132

Unite.AI

DECEMBER 6, 2024

When framed in the context of the Intelligent Economy RAG flows are enabling access to information in ways that facilitate the human experience, saving time by automating and filtering data and information output that would otherwise require significant manual effort and time to be created.

AI 130

AI AI Data Platform LLM 130

Unite.AI

AUGUST 13, 2024

From virtual assistants like Siri and Alexa to advanced data analysis tools in finance and healthcare, AI's potential is vast. However, the effectiveness of these AI systems heavily relies on their ability to retrieve and generate accurate and relevant information. This is where BM42 comes into play.

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Algorithm Chatbots AI AI 255

AWS Machine Learning Blog

MARCH 18, 2025

In the rapidly evolving healthcare landscape, patients often find themselves navigating a maze of complex medical information, seeking answers to their questions and concerns. However, accessing accurate and comprehensible information can be a daunting task, leading to confusion and frustration.

LLM 83

LLM NLP Data Integration AI 83

Unite.AI

OCTOBER 12, 2023

You're talking about signals, whether it's audio, images or video; understanding how we communicate and what our senses perceive, and how to mathematically represent that information in a way that allows us to leverage that knowledge to create and improve technology. The vehicle for my PhD was the bandwidth extension of narrowband speech.

Machine Learning 278

Machine Learning Deep Learning Conversational AI Data Quality 278

Unite.AI

FEBRUARY 6, 2025

But it means that companies must overcome the challenges experienced so far in GenAII projects, including: Poor data quality: GenAI ends up only being as good as the data it uses, and many companies still dont trust their data. Luckily the software industry has been tackling these challenges for the past few years.

LLM 113

LLM Automation Data Quality Prompt Engineer 113

IBM Journey to AI blog

SEPTEMBER 5, 2024

Everything is data—digital messages, emails, customer information, contracts, presentations, sensor data—virtually anything humans interact with can be converted into data, analyzed for insights or transformed into a product. Managing this level of oversight requires adept handling of large volumes of data.

Metadata 188

Metadata Data Quality Auto-classification DevOps 188

AssemblyAI

JANUARY 22, 2025

The key is accuracy where it matters most—capturing the details that drive business value like product names, customer information, and competitive intelligence. Choose the right building blocks: You need speech recognition that nails the details that matter: product names, technical terms, customer information.

Automation 130

Automation AI AI Business Intelligence 130

Unite.AI

JANUARY 29, 2024

This article explores the implications of this challenge and advocates for a data-centric approach in AI development to effectively combat misinformation. Understanding the Misinformation Challenge in Generative AI The abundance of digital information has transformed how we learn, communicate, and interact.

Generative AI 204

Generative AI Data Quality AI Modeling AI 204

AssemblyAI

OCTOBER 31, 2024

A 21% increase in accuracy in alphanumerics across critical data like phone numbers, zip codes, and other numerical identifiers for smoother customer experiences, better critical data management, and clearer escalation and reporting. I'm prescribing amoxicillin, 500mg, NDC 43063-0545-30."

Automation 147

Automation Data Quality Explainability AI 147

AI Weekly

MAY 30, 2024

Powered by rws.com In the News 10 Best AI PDF Summarizers In the era of information overload, efficiently processing and summarizing lengthy PDF documents has become crucial for professionals across various fields. arxiv.org Sponsor Need Data to Train AI? arxiv.org Sponsor Need Data to Train AI?

Robotics 261

Robotics AI AI Artificial Intelligence 261

IBM Journey to AI blog

NOVEMBER 21, 2023

Apache Kafka transfers data without validating the information in the messages. It does not have any visibility of what kind of data are being sent and received, or what data types it might contain. A schema registry is essentially an agreement of the structure of your data within your Kafka environment.

Data Quality 292

Data Quality Metadata 292

Unite.AI

JANUARY 18, 2024

LVMs are a new category of AI models specifically designed for analyzing and interpreting visual information, such as images and videos, on a large scale, with impressive accuracy. Moreover, LVMs enable insightful analytics by extracting and synthesizing information from diverse visual data sources, including images, videos, and text.

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Computer Vision OpenAI Deep Learning Artificial Intelligence 264

IBM Journey to AI blog

NOVEMBER 29, 2023

Structured synthetic data types are quantitative and includes tabular data, such as numbers or values, while unstructured synthetic data types are qualitative and includes text, images, and video. While a synthetic dataset may achieve high accuracy, it could compromise privacy by including too much of the original data.

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Data Scientist Machine Learning Neural Network Data Quality 252

Unite.AI

FEBRUARY 7, 2024

They are huge, complex, and data-hungry. They also need a lot of data to learn from, which can raise data quality, privacy, and ethics issues. In addition, LLMOps provides techniques to improve the data quality, diversity, and relevance and the data ethics, fairness, and accountability of LLMs.

Machine Learning 294

Machine Learning Large Language Models LLM BERT 294

Unite.AI

NOVEMBER 11, 2024

Additionally, the implementation of our company’s CLIP (Compliance, Legal, Information Security, Privacy) program provides a structured framework for reviewing any changes to data or solutions, mitigating potential risks and supporting ongoing compliance.

Machine Learning 162

Machine Learning AI AI Natural Language Processing 162

Marktechpost

NOVEMBER 19, 2023

One possible solution is finding subsets of data inside incredibly huge datasets to address the issues raised. These subsets should contain all the diversity and information in the original dataset but be easier to handle during processing. The quality of the information should be prioritized over gathering enormous volumes of data.

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Machine Learning Deep Learning Data Quality AI Research 103