IBM Journey to AI blog

AUGUST 2, 2023

However, analytics are only as good as the quality of the data, which aims to be error-free, trustworthy, and transparent. According to a Gartner report , poor data quality costs organizations an average of USD $12.9 What is data quality? Data quality is critical for data governance.

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Unite.AI

NOVEMBER 29, 2024

Artificial Intelligence (AI) has made significant progress in recent years, transforming how organizations manage complex data and make decisions. With the vast amount of data available, many industries face the critical challenge of acting on real-time insights. This is where prescriptive AI steps in.

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Unite.AI

NOVEMBER 1, 2024

According to the 2024 Work Trend Index by Microsoft and Linkedin, over 40% of business leaders anticipate completely redesigning their business processes from the ground up using artificial intelligence (AI) within the next few years. As AI continues to permeate various industries, the significance of data quality will only intensify.

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AI Developer AI Development Data Quality Data Science 162

Unite.AI

JULY 31, 2023

The world is buzzing with chatter about artificial intelligence (AI). However, behind these marvels of technology lies a less glamorous – but critically important – factor: high-quality training data. Consequently, the quality of this training data is paramount.

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Unite.AI

NOVEMBER 15, 2024

Rethinking AI’s Pace Throughout History Although it feels like the buzz behind AI began when OpenAI launched ChatGPT in 2022, the origin of artificial intelligence and natural language processing (NLPs) dates back decades. Inadequate access to data means life or death for AI innovation within the enterprise.

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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?

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Cassie Kozyrkov

FEBRUARY 25, 2023

The industry-wide neglect of data design and data quality (and what you can do about it) Continue reading on Towards Data Science »

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Data Quality Data Science Artificial Intelligence Artificial Intelligence 349

AI News

NOVEMBER 21, 2023

Paul O’Sullivan, Senior Vice President of Solution Engineering (UKI) at Salesforce , sheds light on the complexities of this transformative landscape, urging businesses to tread cautiously while embracing the potential of artificial intelligence. Companies have struggled with data quality and data hygiene.

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Marktechpost

SEPTEMBER 30, 2023

InternLM-20B represents a significant leap forward in language model architecture and training data quality. Researchers have effectively addressed the longstanding challenges of language model depth and data quality, resulting in a model that excels across multiple dimensions.

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Unite.AI

AUGUST 28, 2024

Artificial intelligence (AI) integration in healthcare has begun, unlocking many use cases for healthcare providers and patients. Interoperability Problems and Data Quality Issues Data from different sources can often fail to integrate seamlessly. These tools remove siloed data and improve interoperability.

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Marktechpost

AUGUST 10, 2024

The European Artificial Intelligence Act came into force on August 1, 2024. It is a significant milestone in the global regulation of artificial intelligence all over the world. Content like deep fakes should be labeled to show it’s artificially made.

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Unite.AI

MARCH 10, 2025

Even in a rapidly evolving sector such as Artificial Intelligence (AI), the emergence of DeepSeek has sent shock waves, compelling business leaders to reassess their AI strategies. Data Quality: The Foundational Strength of Business-driven AI The success of AI-powered transformation depends on high-quality, well-structured data.

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AI News

SEPTEMBER 17, 2024

The survey uncovers a troubling lack of trust in data quality—a cornerstone of successful AI implementation. Only 38% of respondents consider themselves ‘very trusting’ of the data quality and training used in AI systems. Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

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Data Quality Big Data AI AI 325

Marktechpost

MAY 3, 2024

AI’s Yi models that focus on data quality. Don’t Forget to join our 41k+ ML SubReddit The post Nexa AI Introduces Octopus v4: A Novel Artificial Intelligence Approach that Employs Functional Tokens to Integrate Multiple Open-Source Models appeared first on MarkTechPost. series, Abacus AI’s Smaug, and 01.AI’s

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Marktechpost

JANUARY 18, 2024

A Gaussian Process (GP) model is central to SAMPLE, trained on sequence-function data, guiding the agent’s design decisions. Robustness and reliability were ensured through multiple layers of exception handling and data quality control for failed experimental steps. If you like our work, you will love our newsletter.

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Artificial Intelligence Artificial Intelligence Robotics Automation 134

AI News

SEPTEMBER 27, 2024

What we are seeing in the Data world in general is continued investment in data and analytics software. Analysts estimate that the spend on Data and Analytics software last year was in the $100 billion plus range. Second, is data quality and accessibility, the quality of the data is critical.

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AI Strategy Automation Data Quality Big Data 308

Marktechpost

AUGUST 14, 2024

Researchers from the Gaoling School of Artificial Intelligence at Renmin University of China and the College of Information and Electrical Engineering at China Agricultural University have proposed a novel concept called Multimodal Role-Playing Agents (MRPAs). LMMs are used in healthcare, document analysis, and GUI navigation.

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Unite.AI

OCTOBER 30, 2023

This article delves deep into the transformative synergy of artificial intelligence and DevOps, exploring how this partnership can redefine your operations, making them scalable and future-ready. Improving AI quality: AI system effectiveness hinges on data quality. Poor data can distort AI responses.

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Marktechpost

JULY 11, 2024

In conclusion, AgentInstruct represents a breakthrough in generating synthetic data for AI training. Automating the creation of diverse and high-quality data addresses the critical issues of manual curation and data quality, leading to significant improvements in the performance and reliability of large language models.

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Data Quality Large Language Models AI Modeling Automation 113

AI News

DECEMBER 13, 2023

Phi-2’s achievements are underpinned by two key aspects: Training data quality: Microsoft emphasises the critical role of training data quality in model performance. Phi-2 leverages “textbook-quality” data, focusing on synthetic datasets designed to impart common sense reasoning and general knowledge.

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Analytics Vidhya

MARCH 13, 2024

Introduction Whether you’re a fresher or an experienced professional in the Data industry, did you know that ML models can experience up to a 20% performance drop in their first year? Monitoring these models is crucial, yet it poses challenges such as data changes, concept alterations, and data quality issues.

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Unite.AI

APRIL 8, 2025

Pryon works with a range of defense and intelligence agencies, including the Air Force Research Laboratory (AFRL) and the Chief Digital and Artificial Intelligence Office (CDAO), to help streamline operations and enable faster, more informed decision-making. One powerful example is our collaboration with the U.S.

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Unite.AI

FEBRUARY 7, 2024

This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses. 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.

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Marktechpost

NOVEMBER 27, 2023

However, there are several obstacles to overcome, especially when dealing with complex scenarios, because of the wide range of picture resolutions and the need for more training data quality. Furthermore, LLaVA is innovative in extending instruction-tuning into multimodal situations by fusing multimodal instruction-following data.

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Artificial Intelligence Artificial Intelligence Data Quality AI 125

IBM Journey to AI blog

OCTOBER 22, 2024

Data is the differentiator as business leaders look to utilize their competitive edge as they implement generative AI (gen AI). Leaders feel the pressure to infuse their processes with artificial intelligence (AI) and are looking for ways to harness the insights in their data platforms to fuel this movement.

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Unite.AI

FEBRUARY 1, 2025

Let us look at how Allen AI built this model: Stage 1: Strategic Data Selection The team knew that model quality starts with data quality. But here is the key insight: they did not just aggregate data – they created targeted datasets for specific skills like mathematical reasoning and coding proficiency.

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AI Developer AI Development AI Modeling Data Quality 262

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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AI Weekly

MAY 30, 2024

cnn.com AI headphones let wearer listen to a single person in a crowd, by looking at them just once Engineers have developed an artificial intelligence system that lets someone wearing headphones look at a person speaking for three to five seconds to 'enroll' them. arxiv.org Sponsor Need Data to Train AI?

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Robotics AI AI Artificial Intelligence 261

Unite.AI

JANUARY 1, 2025

Teams with varied backgrounds are better at spotting blind spots in data and designing systems that work for a broader range of users. The Bottom Line AI has incredible potential, but its effectiveness depends on its data quality. Inclusive teams lead to better outcomes, making AI brighter and fairer.

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Unite.AI

NOVEMBER 27, 2024

These scenarios are not hypothetical—they are becoming the norm in organizations leveraging artificial intelligence (AI) for real-time, actionable insights. Developing models that provide reliable, accurate insights demands rigorous attention to data quality, model training, and validation processes.

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Unite.AI

OCTOBER 4, 2023

Artificial Intelligence (AI), particularly Generative AI , continues to exceed expectations with its ability to understand and mimic human cognition and intelligence. Some of these are: Ensure Data Quality: Ingesting complete, accurate, and clean data into an AI model can help reduce bias and produce more accurate results.

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Flipboard

NOVEMBER 13, 2024

In the quest to uncover the fundamental particles and forces of nature, one of the critical challenges facing high-energy experiments at the Large Hadron Collider (LHC) is ensuring the quality of the vast amounts of data collected. The new system was deployed in the barrel of the ECAL in 2022 and in the endcaps in 2023.

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Algorithm Data Quality Machine Learning Neural Network 161

Analytics Vidhya

DECEMBER 28, 2022

Choosing the best appropriate activation function can help one get better results with even reduced data quality; hence, […]. Introduction In deep learning, the activation functions are one of the essential parameters in training and building a deep learning model that makes accurate predictions.

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Unite.AI

JUNE 19, 2024

Artificial Intelligence (AI) is increasingly becoming the foundation of modern manufacturing with unprecedented efficiency and innovation. Manufacturers must adopt strict cybersecurity practices to protect their data while adhering to regulatory requirements, maintaining trust, and safeguarding their operations.

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Data Quality Data Scientist Machine Learning AI 200

Unite.AI

JULY 19, 2024

It is designed to automatically detect and fix data issues that can negatively impact the performance of machine learning models, including language models prone to hallucinations. They can also identify data quality issues in text, image, and tabular datasets. Automatically detects mislabeled data. Enhances data quality.

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IBM Journey to AI blog

DECEMBER 20, 2023

Artificial intelligence (AI) is a transformative force. The automation of tasks that traditionally relied on human intelligence has far-reaching implications, creating new opportunities for innovation and enabling businesses to reinvent their operations. What is an AI strategy?

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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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