Snorkel AI

JUNE 22, 2023

Jacomo Corbo is a Partner and Chief Scientist, and Bryan Richardson is an Associate Partner and Senior Data Scientist, for QuantumBlack AI by McKinsey. They presented “Automating Data Quality Remediation With AI” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022. That is still in flux and being worked out.

Data Quality 52

Data Quality Automation Data Scientist AI 52

Pickl AI

JULY 19, 2023

Every business, irrespective of the niche of operations is harnessing the power of data and make their strategies result-oriented. As compared to the earlier times, businesses are inundated with vast amounts of information. To harness this information in the best interest of the business, it is imperative to filter quality inputs.

Explainability 40

Explainability Data Quality Data Integration Automation 40

Flipboard

DECEMBER 27, 2023

Presented by SQream The challenges of AI compound as it hurtles forward: demands of data preparation, large data sets and data quality, the time sink of long-running queries, batch processes and more. In this VB Spotlight, William Benton, principal product architect at NVIDIA, and others explain how …

Generative AI 181

Generative AI Data Quality Explainability AI 181

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?

LLM 279

LLM AI AI Data Quality 279

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. Tangible benefits are key. Trying to Get Media Coverage?

Deep Learning 130

Deep Learning Natural Language Processing Machine Learning AI 130

IBM Journey to AI blog

DECEMBER 16, 2022

So, instead of wandering the aisles in hopes you’ll stumble across the book, you can walk straight to it and get the information you want much faster. 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.

Metadata 130

Metadata Data Quality Data Discovery Data Scientist 130

IBM Journey to AI blog

OCTOBER 12, 2023

Documentation can also be generated and maintained with information such as a model’s data origins, training methods and behaviors. A single point of entry eliminates the need to duplicate sensitive data for various purposes or move critical data to a less secure (and possibly non-compliant) environment.

Data Scientist 253

Data Scientist Metadata Responsible AI Explainability 253

Unite.AI

JUNE 10, 2024

The company is developing its flagship product, ThinkLabs Copilot, a digital assistant that comprehends the real world through proprietary physics-informed AI digital twins, providing a foundational model for engineering systems. Can you explain what a physics-informed AI digital twin is and how it benefits grid reliability?

Continuous Learning 130

Continuous Learning AI AI Automation 130

Unite.AI

JANUARY 9, 2024

Building a strong data foundation. Building a robust data foundation is critical, as the underlying data model with proper metadata, data quality, and governance is key to enabling AI to achieve peak efficiencies.

Metadata 290

Metadata AI AI AI Tools 290

IBM Journey to AI blog

APRIL 10, 2023

Everyone would be using the same data set to make informed decisions which may range from goal setting to prioritizing investments in sustainability. Data fabric can help model, integrate and query data sources, build data pipelines, integrate data in near real-time, and run AI-driven applications.

ESG 264

ESG Metadata AI AI 264

Unite.AI

MARCH 4, 2024

Knowledge workers use their specialized skills, expertise, and creativity to generate, process, and communicate information. Knowledge workers are confused regarding AI due to exposure to conflicting and contradictory information and uncertainty about its impact on their professional lives. Why Are Knowledge Workers Confused About AI?

AI 162

AI AI Explainability Algorithm 162

IBM Journey to AI blog

MAY 8, 2023

Technological risk—data confidentiality The chief technological risk is the matter of data confidentiality. Crucially, the insurance sector is a financially regulated industry where the transparency, explainability and auditability of algorithms is of key importance to the regulator.

AI 243

AI AI Algorithm Generative AI 243

Towards AI

OCTOBER 3, 2024

Yet, despite these advancements, AI still faces significant limitations — particularly in adaptability, energy consumption, and the ability to learn from new situations without forgetting old information. Mimicking the brain’s neuron firing mechanism, SNNs process information only when spikes occur, leading to energy-efficient computations.

Neural Network 124

Neural Network Algorithm Continuous Learning AI 124

Marktechpost

SEPTEMBER 19, 2024

The occasional provision of outdated information by LLMs indicates a form of memory, though its precise nature is unclear. Hong Kong Polytechnic University researchers use the Universal Approximation Theorem (UAT) to explain memory in LLMs. The UAT forms the basis of deep learning and explains memory in Transformer-based LLMs.

LLM 59

LLM Neural Network Explainability Deep Learning 59

Unite.AI

APRIL 23, 2024

Aiimi's tech allows companies to find and make sense of their data – bringing together what can be a sprawling mass of data, documents, and digital information – helping teams access information instantly. The more data businesses accumulated and stored in different systems, the worse issues became.

Insight Engine 130

Insight Engine Auto-complete AI Tools Data Quality 130

Mlearning.ai

MAY 16, 2023

First, the data is extracted from the various sources and brought into a staging area. The data is then transformed to fit a common data model that includes patient demographic information, clinical data, and patient satisfaction scores. BECOME a WRITER at MLearning.ai. Local AI Solutions Mlearning.ai

Explainability 52

Explainability ETL Big Data Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 13, 2024

You can now register machine learning (ML) models in Amazon SageMaker Model Registry with Amazon SageMaker Model Cards , making it straightforward to manage governance information for specific model versions directly in SageMaker Model Registry in just a few clicks. Prepare the data to build your model training pipeline.

Metadata 101

Metadata ML Software Engineer Machine Learning 101

AWS Machine Learning Blog

NOVEMBER 15, 2024

For now, we consider eight key dimensions of responsible AI: Fairness, explainability, privacy and security, safety, controllability, veracity and robustness, governance, and transparency. Such words can include offensive terms or undesirable outputs, like product or competitor information.

Responsible AI 90

Responsible AI Prompt Engineer Prompt Engineering AI 90

ODSC - Open Data Science

NOVEMBER 20, 2024

Addressing the Challenges of Generative AI: Data Quality, Governance, and Compliance One of the major hurdles businesses face when adopting generative AI is data quality. Yves Mulkers stressed the need for clean, reliable data as a foundation for AI success.

Generative AI 40

Generative AI Prompt Engineering Prompt Engineer Data Quality 40

Unite.AI

SEPTEMBER 30, 2024

As AI takes center stage, AI quality assurance can empower teams to deliver higher-quality software faster. This article explains how AI in quality assurance streamlines software testing while improving product performance. What is AI-powered Quality Assurance?

Automation 312

Automation AI AI DevOps 312

Aiiot Talk

JULY 7, 2023

That extra verification step can prevent a cybercriminal from stealing your identity with breached information. Consequently, you should keep a close eye on your bank accounts and any online profiles that hold your financial data. Always make sure a service is trustworthy before giving it any permissions or information.

Robotics 130

Robotics Artificial Intelligence Artificial Intelligence Data Quality 130

IBM Journey to AI blog

AUGUST 12, 2024

They are employed in various applications, from generating content to making informed decisions, thanks to their ability to detect context and produce coherent responses. Financial institutions must stay informed about evolving regulatory requirements and adapt their AI strategies accordingly.

Automation 162

Automation Generative AI AI AI 162

Pickl AI

JULY 8, 2024

Summary: This blog explains how to build efficient data pipelines, detailing each step from data collection to final delivery. Introduction Data pipelines play a pivotal role in modern data architecture by seamlessly transporting and transforming raw data into valuable insights.

ETL 52

ETL Data Quality Data Integration Automation 52

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. The IMEI is 35-824919-198374-1, and I'm getting error code AX-2103."

Automation 147

Automation Data Quality Explainability AI 147

Pickl AI

OCTOBER 15, 2024

It encompasses various models and techniques, applicable across industries like finance and healthcare, to drive informed decision-making. Introduction Statistical Modeling is crucial for analysing data, identifying patterns, and making informed decisions. It represents variability that the model doesn’t explain.

Explainability 52

Explainability Data Analysis Data Quality Categorization 52

The MLOps Blog

JUNE 27, 2023

This includes features for model explainability, fairness assessment, privacy preservation, and compliance tracking. Can you debug system information? Integration with ML tools and libraries: Provide you with flexibility and extensibility. Can you compare images? Can you customize the UI to your needs?

Metadata 134

Metadata Machine Learning Data Scientist Data Quality 134

Unite.AI

JUNE 17, 2024

Critical thinking involves analyzing information, questioning assumptions, and making ethical judgments based on our values and understanding of context. AI can process data and identify patterns, but it doesn't have the human capacity for discernment, skepticism, and moral reasoning.

Automation 147

Automation Artificial Intelligence Artificial Intelligence Generative AI 147

Heartbeat

AUGUST 29, 2023

They first employ pooling layers to lower the dimensionality of the recovered data after extracting information from the input photos or videos using convolutional layers. RNNs (recurrent neural networks) : RNNs back connections that let data linger in the network for extended periods.

Software Development 52

Software Development Deep Learning Neural Network Convolutional Neural Networks 52

Towards AI

NOVEMBER 6, 2024

How CatBoost Works CatBoost incorporates a few novel approaches to overcome the limitations of traditional gradient boosting: Ordered Target Encoding: Traditional methods of encoding categorical variables often lead to data leakage, where information from the validation or test set can “leak” into the model during training.

Categorization 90

Categorization Algorithm Machine Learning Python 90

Marktechpost

MAY 8, 2024

Overview of Deep Learning Technologies: Deep learning plays an important role in autonomous driving, with CNNs being crucial for processing spatial information like images, replacing traditional handcrafted features with learned representations.

Deep Learning 123

Deep Learning Neural Network Data Scarcity Natural Language Processing 123

IBM Journey to AI blog

JANUARY 8, 2024

 It includes a built-in schema registry to validate event data from applications as expected, improving data quality and reducing errors. Events may be more actionable when augmented with external data, or when they occur along with other events in a particular time period.

Automation 277

Automation Data Quality Explainability 277

Towards AI

APRIL 2, 2024

This can come from algorithmic improvements and more focus on pretraining data quality, such as the new open-source DBRX model from Databricks. The Information reported that Microsoft would likely finance the project. comparable to much larger and more expensive models such as GPT-4.

OpenAI 77

OpenAI LLM Explainable AI AI 77

Pickl AI

AUGUST 1, 2024

By leveraging these functionalities, organisations can uncover valuable insights, make informed decisions, and gain a competitive edge in their respective industries. Introduction Data mining is a powerful process that involves analysing large datasets to discover patterns, trends, and useful information.

Data Mining 52

Data Mining Algorithm Explainability Data Quality 52

Unite.AI

JUNE 24, 2024

Under his leadership, Astronomer has advanced its modern data orchestration platform, significantly enhancing its data pipeline capabilities to support a diverse range of data sources and tasks through machine learning. My own data team generates reports on consumption which we make available daily to our customers.

Large Language Models 130

Large Language Models Data Scientist Machine Learning Software Engineer 130

ODSC - Open Data Science

OCTOBER 16, 2024

Multimodal Models for a More Holistic Understanding: The session “ How LLMs might help scale world-class healthcare to everyone ” showcases the potential of multimodal AI systems, which can process and integrate information from multiple data sources, including text, images, videos, and medical records.

LLM 40

LLM Responsible AI Large Language Models Data Quality 40

Pickl AI

OCTOBER 15, 2024

Introduction In today’s data-driven landscape, analytics shapes business strategies and outcomes. Organisations leverage analytical capabilities to transform raw data into actionable insights, driving informed decision-making and fostering innovation.

Big Data 52

Big Data Machine Learning Artificial Intelligence Artificial Intelligence 52

AWS Machine Learning Blog

OCTOBER 24, 2024

RAG introduces an information retrieval component that uses the user input to first pull information from a new data source. This new data from outside of the LLM’s original training data set is called external data. Learn more in Amazon OpenSearch Service’s vector database capabilities explained.

LLM 115

LLM Big Data Architect Software Development Big Data 115