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.

Automation 291

Automation Big Data Data Quality Data Analysis 291

Unite.AI

FEBRUARY 17, 2025

A retail category planner who previously did hours-long analysis of past weeks reports to try to uncover insights into which products are underperforming, and why, now uses AI to provide deep-dive insights that surface problem areas and suggest corrective actions, prioritized for maximum business impact.

Automation 144

Automation Responsible AI Generative AI AI Modeling 144

IBM Journey to AI blog

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. As AI techniques continue to evolve, innovative applications in the OLAP domain are anticipated.

Data Analysis 181

Data Analysis AI AI Automation 181

Unite.AI

FEBRUARY 21, 2025

The product cloud, on the other hand, is a composable suite of technologies that supports the entire product record for both dynamic and static data across the entire product lifecycle; our flexible, scalable PIM solution is a crucial aspect of the product cloud, however its only one part.

Natural Language Processing 144

Natural Language Processing NLP Categorization Algorithm 144

IBM Journey to AI blog

DECEMBER 20, 2023

Artificial intelligence (AI) is a transformative force. By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. Without an AI strategy, organizations risk missing out on the benefits AI can offer.

AI Strategy 224

AI Strategy Artificial Intelligence Artificial Intelligence Machine Learning 224

Pickl AI

JANUARY 12, 2025

Summary: The article explores the differences between data driven and AI driven practices. Data-driven and AI-driven approaches have become key in how businesses address challenges, seize opportunities, and shape their strategic directions.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Explainability Explainable AI 52

Pickl AI

FEBRUARY 6, 2025

Summary: Data Analysis and interpretation work together to extract insights from raw data. Analysis finds patterns, while interpretation explains their meaning in real life. Overcoming challenges like data quality and bias improves accuracy, helping businesses and researchers make data-driven choices with confidence.

Data Analysis 52

Data Analysis Data Quality Explainability Machine Learning 52

Pickl AI

MAY 30, 2024

Summary: The Data Science and Data Analysis life cycles are systematic processes crucial for uncovering insights from raw data. Quality data is foundational for accurate analysis, ensuring businesses stay competitive in the digital landscape. Data Cleaning Data cleaning is crucial for data integrity.

Data Analysis 52

Data Analysis Data Science Data Scientist Data Quality 52

Pickl AI

OCTOBER 18, 2023

How to Scale Your Data Quality Operations with AI and ML: In the fast-paced digital landscape of today, data has become the cornerstone of success for organizations across the globe. Every day, companies generate and collect vast amounts of data, ranging from customer information to market trends.

Data Quality 52

Data Quality ML Machine Learning Natural Language Processing 52

Unite.AI

OCTOBER 22, 2024

With over 1,775 executives surveyed across 33 countries, the report uncovers how AI, automation, and sustainability are transforming the landscape of quality assurance. As AI technology progresses, organizations are being called to adopt new, innovative solutions for QE, especially as Generative AI (Gen AI) takes center stage.

Automation 130

Automation Data Quality AI Automation AI 130

Pickl AI

OCTOBER 14, 2024

Summary: This article explores different types of Data Analysis, including descriptive, exploratory, inferential, predictive, diagnostic, and prescriptive analysis. Introduction Data Analysis transforms raw data into valuable insights that drive informed decisions. What is Data Analysis?

Data Analysis 52

Data Analysis Data Mining Data Discovery Machine Learning 52

Towards AI

MARCH 10, 2025

Author(s): MicroBioscopicData (by Alexandros Athanasopoulos) Originally published on Towards AI. In this tutorial, we will focus on measuring the fluorescence intensity from the GFP channel, extracting relevant data, and performing a detailed analysis to derive meaningful biological insights.

Python 98

Python Algorithm Data Quality Data Analysis 98

Viso.ai

APRIL 10, 2024

Pandas is a free and open-source Python data analysis library specifically designed for data manipulation and analysis. It excels at working with structured data, often encountered in spreadsheets or databases. Data cleaning is crucial to ensure the quality and reliability of your analysis.

Data Analysis 52

Data Analysis Python Machine Learning Data Science 52

Aiiot Talk

APRIL 30, 2024

Traditionally, NDT relied heavily on manual inspection techniques and human expertise, but the process has undergone a transformative evolution with the advent of AI and machine learning (ML). How Is AI Used in NDT? AI algorithms’ predictive analytic capabilities also help anticipate potential failures.

Automation 130

Automation Algorithm Machine Learning ML 130

Pickl AI

MARCH 4, 2025

Summary: Agentic AI offers autonomous, goal-driven systems that adapt and learn, enhancing efficiency and decision-making across industries with real-time data analysis and action execution. AI adjusts goals based on real-time data. What Is Agentic AI? Key Takeaways It makes decisions independently.

Natural Language Processing 52

Natural Language Processing NLP Automation Artificial Intelligence 52

Marktechpost

APRIL 15, 2024

As climate change continuously threatens our planet and the existence of life on it, integrating machine learning (ML) and artificial intelligence (AI) into this arena offers promising solutions to predict and mitigate its impacts effectively.

Machine Learning 106

Machine Learning Data Analysis ML Artificial Intelligence 106

O'Reilly Media

NOVEMBER 28, 2023

Generative AI has been the biggest technology story of 2023. In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI. Our survey focused on how companies use generative AI, what bottlenecks they see in adoption, and what skills gaps need to be addressed.

Generative AI 135

Generative AI AI AI Data Analysis 135

Marktechpost

JUNE 5, 2024

In addition, organizations that rely on data must prioritize data quality review. Data profiling is a crucial tool. For evaluating data quality. Data profiling gives your company the tools to spot patterns, anticipate consumer actions, and create a solid data governance plan.

Data Quality 110

Data Quality Metadata Data Integration ETL 110

Marktechpost

FEBRUARY 23, 2025

One development that has steadily gained attention is the concept of the AI agentsoftware designed to perform tasks autonomously by understanding and interacting with its environment. This article offers a measured exploration of AI agents, examining their definition, evolution, types, real-world applications, and technical architecture.

Natural Language Processing 54

Natural Language Processing Machine Learning AI AI 54

ODSC - Open Data Science

FEBRUARY 24, 2023

There are many well-known libraries and platforms for data analysis such as Pandas and Tableau, in addition to analytical databases like ClickHouse, MariaDB, Apache Druid, Apache Pinot, Google BigQuery, Amazon RedShift, etc. These tools will help make your initial data exploration process easy.

Data Analysis 126

Data Analysis Data Science Business Intelligence Python 126

Pickl AI

MARCH 19, 2025

Amazon Athena Amazon Athena is a serverless query service that enables users to analyse data stored in Amazon S3 using standard SQL. It eliminates the need for complex database management, making data analysis more accessible. It helps streamline data processing tasks and ensures reliable execution.

Big Data 52

Big Data Automation Data Science Python 52

Marktechpost

JULY 23, 2024

AI and ML in Untargeted Metabolomics and Exposomics: Metabolomics employs a high-throughput approach to measure a variety of metabolites and small molecules in biological samples, providing crucial insights into human health and disease. The HRMS generates data in three dimensions: mass-to-charge ratio, retention time, and abundance.

Machine Learning 103

Machine Learning ML Algorithm Data Extraction 103

Marktechpost

JUNE 16, 2024

This new version enhances the data-focused authoring experience for data scientists, engineers, and SQL analysts. The updated Notebook experience features a sleek, modern interface and powerful new functionalities to simplify coding and data analysis.

Data Ingestion 116

Data Ingestion Python Automation Data Scientist 116

Flipboard

JULY 4, 2023

Famous LLMs like GPT, BERT, PaLM, and LLaMa are revolutionizing the AI industry by imitating humans. A new and unique type of database that is gaining immense popularity in the fields of AI and Machine Learning is the vector database. The field of Artificial Intelligence is booming with every new release of these models.

Large Language Models 138

Large Language Models Machine Learning Natural Language Processing BERT 138

Pickl AI

JANUARY 19, 2025

Data warehousing involves the systematic collection, storage, and organisation of large volumes of data from various sources into a centralized repository, designed to support efficient querying and reporting for decision-making purposes. It ensures data quality, consistency, and accessibility over time.

Data Mining 52

Data Mining Algorithm Data Quality Data Scientist 52

AWS Machine Learning Blog

NOVEMBER 29, 2023

To quickly explore the loan data, choose Get data insights and select the loan_status target column and Classification problem type. The generated Data Quality and Insight report provides key statistics, visualizations, and feature importance analyses. About the authors Dr. Changsha Ma is an AI/ML Specialist at AWS.

ML 118

ML Data Quality Automation Machine Learning 118

Marktechpost

DECEMBER 3, 2024

In the evolving landscape of artificial intelligence, language models are becoming increasingly integral to a variety of applications, from customer service to real-time data analysis. Many existing LLMs require specific formats and well-structured data to function effectively. Check out the GitHub Page.

LLM 102

LLM AI Tools Large Language Models Data Ingestion 102

Unite.AI

JANUARY 23, 2025

AI tools have seen widespread business adoption since ChatGPT's 2022 launch, with 98% of small businesses surveyed by the US Chamber of Commerce using them. The promise of AI therefore remains high, but the reality on the ground seems so far to be slightly underwhelming.

Responsible AI 111

Responsible AI AI Tools Data Quality Data Analysis 111

NVIDIA

FEBRUARY 7, 2024

With advances in computing, sophisticated AI models and machine learning are having a profound impact on business and society. Industries can use AI to quickly analyze vast bodies of data, allowing them to derive meaningful insights, make predictions and automate processes for greater efficiency.

Robotics 120

Robotics Convolutional Neural Networks AI AI 120

Unite.AI

AUGUST 11, 2023

Can you discuss how the computer app uses AI to assess users posture using the webcam? The computer app we've developed at Zen utilizes AI algorithms, mainly computer vision and complex mathematical models, to assess users' posture in real-time through their computer's webcam.

Algorithm 130

Algorithm Computer Vision Generative AI Data Quality 130

Flipboard

MARCH 22, 2023

We also detail the steps that data scientists can take to configure the data flow, analyze the data quality, and add data transformations. Finally, we show how to export the data flow and train a model using SageMaker Autopilot. Data Wrangler creates the report from the sampled data.

IDP 123

IDP Data Scientist Categorization Data Quality 123

Becoming Human

MAY 19, 2023

Banking solution providers are using AI to rewrite decades-old processes and deliver robust and profitable banking solutions. In this article, we’ll talk about AI in banking use cases to understand how the banking industry is leveraging AI to enhance its capabilities. This is where AI and ML can be extremely useful.

Chatbots 84

Chatbots AI Chatbots Natural Language Processing Artificial Intelligence 84

Unite.AI

DECEMBER 5, 2023

In BI systems, data warehousing first converts disparate raw data into clean, organized, and integrated data, which is then used to extract actionable insights to facilitate analysis, reporting, and data-informed decision-making. The post A Beginner’s Guide to Data Warehousing appeared first on Unite.AI.

Metadata 157

Metadata Big Data ETL Data Mining 157

Pickl AI

OCTOBER 9, 2023

Unlike supervised learning, where the algorithm is trained on labeled data, unsupervised learning allows algorithms to autonomously identify hidden structures and relationships within data. These algorithms can identify natural clusters or associations within the data, providing valuable insights for demand forecasting.

Machine Learning 98

Machine Learning Algorithm ML Data Quality 98

Pickl AI

SEPTEMBER 26, 2023

Analyzing and Interpreting Sampled Data Data preparation and cleaning Before analysis, sampled data need to undergo cleansing and preparation. This process involves checking for missing values, outliers, and inconsistencies, ensuring data quality and accuracy.

Data Analysis 98

Data Analysis Data Quality Machine Learning 98

Defined.ai blog

AUGUST 10, 2023

Welcome to the world of financial data, where every digit has a story to tell, and Artificial Intelligence (AI) assumes the role of a compelling storyteller. With more companies shifting towards data-driven decision-making, understanding financial data and leveraging AI’s power has never been more crucial.

Business Intelligence 52

Business Intelligence Data Analysis Neural Network Data Quality 52

Pickl AI

APRIL 7, 2025

Uses the middle 50% of data, giving a more stable view. Works well with open-ended data (like income groups). Not suitable for full data analysis. Relative Measures of Dispersion Relative measures show the spread of data without units. How do measures of dispersion help in data science?

Data Science 52

Data Science Data Quality Data Analysis Machine Learning 52