IBM Journey to AI blog

NOVEMBER 14, 2023

When a “right to be forgotten” request is invoked it spans from the raw data source to the data product target. Data products come in many forms including datasets, programs and AI models. For AI models and associated datasets, they could look to utilize a marketplace like Hugging Face.

ESG 315

ESG Generative AI AI AI 315

Unite.AI

JULY 19, 2024

This extensive knowledge base allows for robust AI validation that makes Pythia ideal for situations where accuracy is important. Here are some key features of Pythia: With its real-time hallucination detection capabilities, Pythia enables AI models to make reliable decisions. Integrates with various AI models.

LLM 279

LLM AI AI Data Quality 279

Unite.AI

SEPTEMBER 24, 2024

However, scaling AI across an organization takes work. It involves complex tasks like integrating AI models into existing systems, ensuring scalability and performance, preserving data security and privacy, and managing the entire lifecycle of AI models.

Inference Engine 162

Inference Engine Large Language Models AI AI 162

Unite.AI

OCTOBER 26, 2023

Before artificial intelligence (AI) was launched into mainstream popularity due to the accessibility of Generative AI (GenAI), data integration and staging related to Machine Learning was one of the trendier business priorities. Bringing an AI product to market is not an easy task and the failures outnumber the successes.

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Generative AI Data Scientist AI AI 147

Marktechpost

MAY 15, 2024

This unstructured and obscure data collection poses severe challenges in maintaining data integrity and ethical standards. The research’s core issue revolves around the lack of robust mechanisms to ensure the authenticity and consent of data utilized in AI training.

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Metadata AI Development AI Developer Artificial Intelligence 111

Marktechpost

AUGUST 10, 2024

It is the world’s first comprehensive milestone in terms of regulation of AI and reflects EU’s ambitions to establish itself as a leader in safe and trustworthy AI development The Genesis and Objectives of the AI Act The Act was first proposed by the EU Commission in April 2021 in the midst of growing concerns about the risks posed by AI systems.

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Artificial Intelligence Artificial Intelligence AI AI 132

Unite.AI

OCTOBER 10, 2024

Addressing the Multimodal Data Crisis The growth of AI has led to an explosion in the generation of multimodal data across industries such as e-commerce, healthcare, retail, agriculture, and visual inspection. Despite this growth, most organizations struggle to effectively manage and utilize this data.

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Metadata Machine Learning Robotics Computer Vision 147

Unite.AI

JUNE 12, 2024

While cinematic portrayals of AI often evoke fears of uncontrollable, malevolent machines, the reality in IT is more nuanced. Professionals are evaluating AI's impact on security , data integrity, and decision-making processes to determine if AI will be a friend or foe in achieving their organizational goals.

Data Quality 147

Data Quality Automation AI AI 147

Unite.AI

JUNE 10, 2024

This integrated approach enhances diagnostic accuracy by identifying patterns and correlations that might be missed when analyzing each modality independently. Its adaptability and flexibility equip it to learn from various data types, adapt to new challenges, and evolve with medical advancements.

AI 147

AI AI Data Analysis Artificial Intelligence 147

Unite.AI

SEPTEMBER 18, 2023

NLP is headed towards near perfection, and the final step of NLP is processing text transformations that can make computers understandable, and recent models like ChatGPT built on GPT-4 indicated that the research is headed towards the right direction.

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Deep Learning Artificial Intelligence Artificial Intelligence AI 321

Pickl AI

MARCH 7, 2025

Summary: The 4 Vs of Big DataVolume, Velocity, Variety, and Veracityshape how businesses collect, analyse, and use data. These factors drive decision-making, AI development, and real-time analytics. By the end, youll have a clear picture of why Big Data matters in today’s world.

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Big Data Machine Learning Data Quality Data Science 52

Unite.AI

MARCH 5, 2024

This approach acknowledges that AI's application in cybersecurity is not monolithic; different AI technologies can be deployed to protect various aspects of digital infrastructure, from network security to data integrity. On the organizational front, understanding the specific role and risks of AI within a company is key.

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AI AI Large Language Models Artificial Intelligence 147

AWS Machine Learning Blog

MARCH 14, 2025

Both features rely on the same LLM-as-a-judge technology under the hood, with slight differences depending on if a model or a RAG application built with Amazon Bedrock Knowledge Bases is being evaluated. Jesse Manders is a Senior Product Manager on Amazon Bedrock, the AWS Generative AI developer service.

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Generative AI Responsible AI Automation LLM 70

IBM Journey to AI blog

OCTOBER 20, 2023

By exploring data from different perspectives with visualizations, you can identify patterns, connections, insights and relationships within that data and quickly understand large amounts of information. AutoAI automates data preparation, model development, feature engineering and hyperparameter optimization.

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Machine Learning Automation AI AI 225

Marktechpost

AUGUST 21, 2024

The model’s ability to manage long context lengths and its robust reasoning capabilities make it a powerful tool for commercial and research applications. Vision Instruct: Pioneering Multimodal AI Model Overview and Architecture The Phi 3.5 Image Source Conclusion: A Comprehensive Suite for Advanced AI Applications The Phi 3.5

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Natural Language Processing AI AI Artificial Intelligence 103

Towards AI

FEBRUARY 11, 2025

The internet may offer trillions of words, but much of it is: Repetitive content SEO-optimized fluff AI-generated text Low-value information This has led to concerns about whether AI will eventually run out of useful training data. Question I hear being asked often in many podcasts to various product leads in AI.

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Data Quality Neural Network ETL Computer Vision 54

Pickl AI

JUNE 23, 2023

The Importance of Data-Centric Architecture Data-centric architecture is an approach that places data at the core of AI systems. At the same time, it emphasizes the collection, storage, and processing of high-quality data to drive accurate and reliable AI models. How Does Data-Centric AI Work?

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Continuous Learning Data Quality AI AI 52

Pickl AI

OCTOBER 3, 2024

This approach simplifies the development process by abstracting the complexities typically associated with coding, making it accessible to non-technical users. The core functionalities of no-code AI platforms include: Data Integration : Users can easily connect to various data sources without needing to understand the underlying code.

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Artificial Intelligence Artificial Intelligence Automation AI Tools 52

Pickl AI

OCTOBER 8, 2024

File Locking Mechanisms To prevent conflicts during concurrent access by multiple users, DFS implements file locking mechanisms that ensure only one user can modify a file at any given time, maintaining data integrity. This redundancy is vital for real-time AI applications, such as autonomous vehicles or healthcare monitoring systems.

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Artificial Intelligence Artificial Intelligence Algorithm Metadata 52

Viso.ai

MARCH 1, 2023

Low code development offers one-touch deployment and deploying to multiple environments – a single click is all it takes to send an application to production. With low-code, robust security measures, data integration, and cross-platform support are already built-in and can be easily customized. Low-risk/high ROI.

Computer Vision 52

Computer Vision Software Development AI AI 52

AWS Machine Learning Blog

OCTOBER 23, 2024

The landscape of enterprise application development is undergoing a seismic shift with the advent of generative AI. Agent Creator is a no-code visual tool that empowers business users and application developers to create sophisticated large language model (LLM) powered applications and agents without programming expertise.

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Generative AI IDP LLM Automation 87

Unite.AI

MAY 30, 2024

From powering recommendation algorithms on streaming platforms to enabling autonomous vehicles and enhancing medical diagnostics, AI's ability to analyze vast amounts of data, recognize patterns, and make informed decisions has transformed fields like healthcare, finance, retail, and manufacturing.

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AI Development AI Developer AI Tools AI 221

AWS Machine Learning Blog

DECEMBER 4, 2024

Organizations are looking to accelerate the process of building new AI solutions. They use fully managed services such as Amazon SageMaker AI to build, train and deploy generative AI models. Oftentimes, they also want to integrate their choice of purpose-built AI development tools to build their models on SageMaker AI.

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ML Generative AI Data Scientist ML Engineer 134

TheSequence

NOVEMBER 17, 2024

📝 Editorial: The Toughest Math Benchmark Ever Built Mathematical reasoning is often considered one of the most critical abilities of foundational AI models and serves as a proxy for general problem-solving. This means that AI models cannot rely on pattern matching or brute-force approaches to arrive at the correct answer.

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Large Language Models Python Generative AI AI Modeling 59

Pickl AI

DECEMBER 10, 2024

Businesses face fines and reputational damage when AI decisions are deemed unethical or discriminatory. Socially, biased AI systems amplify inequalities, while data breaches erode trust in technology and institutions. Broader Ethical Implications Ethical AI development transcends individual failures.

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Explainability AI AI Artificial Intelligence 52

IBM Journey to AI blog

JUNE 20, 2024

Understanding the risks associated with AI systems Like other types of security risk, AI risk can be understood as a measure of how likely a potential AI-related threat is to affect an organization and how much damage that threat would do. Data integrity: AI models are only as reliable as their training data.

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AI AI Artificial Intelligence Artificial Intelligence 131