Unite.AI

NOVEMBER 29, 2024

Prescriptive AI enables organizations to act quickly and effectively, bypassing the need for lengthy data analysis. Industries are turning to prescriptive AI to gain these critical advantages, preparing themselves to act faster, work more efficiently, and make highly informed decisions based on comprehensive data analysis.

Algorithm 276

Algorithm AI Data Ingestion AI 276

Unite.AI

MARCH 29, 2025

It is ideal for applications that require reasoning and multimodal understanding, such as interactive assistants or data analysis tools. This enables the model to perform well in tasks that require both accuracy and explainability, such as financial analysis or legal document review. Anthropic's Claude 3.7

Large Language Models 270

Large Language Models OpenAI Data Analysis Explainability 270

Unite.AI

JANUARY 7, 2025

Fermata , a trailblazer in data science and computer vision for agriculture, has raised $10 million in a Series A funding round led by Raw Ventures. Croptimus is more than just a monitoring toolits a decision-making assistant for growers, explains Valeria Kogan, Fermatas Founder and CEO.

Computer Vision 182

Computer Vision Actionable Intelligence Continuous Learning Algorithm 182

Unite.AI

FEBRUARY 23, 2025

This interconnected ecosystem allows the agent to employ a wide range of resources, including powerful machine learning tools and massive computational power, for conducting various research tasks such as data analysis, hypothesis testing, and even literature review automation.

AI Researcher 209

AI Researcher AI Research OpenAI Automation 209

Pickl AI

APRIL 8, 2025

This blog explains its syntax, use cases, troubleshooting, and alternatives with practical examples to help you master this SQL technique. Introduction Ever wondered how to get all the data from two tables, even if some records dont match? INNER JOIN only returns records that have a match in both tables, excluding unmatched data.

Explainability 52

Explainability Data Science Data Analysis 52

Marktechpost

APRIL 24, 2024

Explainable AI (XAI) aims to balance model explainability with high learning performance, fostering human understanding, trust, and effective management of AI partners. ELI5 is a Python package that helps debug machine learning classifiers and explain their predictions.

Explainable AI 114

Explainable AI Explainability Neural Network Data Scientist 114

AI News

APRIL 15, 2024

“We’re excited to be in Japan which has a rich history of people and technology coming together to do more,” explained Sam Altman, CEO of OpenAI. “We Tokyo was selected for OpenAI’s first Asian venture due to its global leadership in technology, a culture dedicated to service, and an innovative community.

OpenAI 349

OpenAI Big Data ChatGPT Data Analysis 349

Unite.AI

JANUARY 30, 2025

Can you explain the core concept and what motivated you to tackle this specific challenge in AI and data analytics? In 2021, despite the fact that generative AI semantic models have existed since 2017, and graph neural nets have existed for even longer, it was a tough task to explain to VCs why we need automated context and reasoning.

Automation 147

Automation Metadata Explainability Data Scientist 147

Unite.AI

JANUARY 28, 2025

DeepSeek focuses on modular and explainable AI, making it ideal for healthcare and finance industries where precision and transparency are vital. It excels in areas requiring deep reasoning, such as medical data analysis and financial pattern detection. Each brings unique benefits to the AI domain.

OpenAI 147

OpenAI Natural Language Processing Explainable AI Explainability 147

Unite.AI

NOVEMBER 8, 2024

Together with Viacheslav Matiunin, Wayvee’s CTO and a physicist who led data analysis for the LHCb experiment at CERN, and a group of researchers and neuroscientists, we built a prototype using a regular Wi-Fi router to test the idea. Through our pilot stage, it’s become clear that retailers need actionable insights, not just data.

Emotion AI 147

Emotion AI Algorithm Explainability Neural Network 147

Unite.AI

DECEMBER 19, 2024

Following on agentic automation, cognitive process intelligence will focus on providing deeper context around business operations,essentially giving AI the capability to act as an operational consultant.

Automation 147

Automation AI AI Artificial Intelligence 147

AI News

SEPTEMBER 27, 2024

“Upon release, DBRX outperformed all other leading open models on standard benchmarks and has up to 2x faster inference than models like Llama2-70B,” Everts explains. “It He adds that it also “logs all data access and changes, providing a detailed audit trail to ensure compliance with data security policies.”

Large Language Models 310

Large Language Models Big Data Explainability ETL 310

Flipboard

FEBRUARY 22, 2023

Darrow CTO and co-founder Gila Hayat explains the enormous benefit presented by the proper implementation of AI within a legal system. The public …

Data Analysis 123

Data Analysis Explainability AI AI 123

Unite.AI

MARCH 5, 2025

While AI promises to revolutionize industries from automating routine tasks to providing deep insights through data analysis it also gives way to ethical dilemmas, bias, data privacy concerns, and even a negative return on investment (ROI) if not correctly implemented.

Emotion AI 208

Emotion AI AI AI Automation 208

AI News

JUNE 19, 2024

.” Through an AI introduction class, Murray discovered the possibilities of tools such as Microsoft Copilot, an AI-powered assistant for everything from scheduling to data analysis to creating content. “Every piece has a story behind it,” O’Connor explained. It’s a totally different level.

Big Data 339

Big Data Explainability AI AI 339

Marktechpost

NOVEMBER 22, 2024

It provides insights into agent behavior, identifies potential issues, and helps developers improve agent performance. It offers a range of features, including agent creation, training, deployment, and monitoring. It helps developers identify and fix model biases, improve model accuracy, and ensure fairness.

Automation 107

Automation Explainability Data Analysis Machine Learning 107

ODSC - Open Data Science

SEPTEMBER 15, 2023

From uncovering hidden patterns to providing actionable recommendations, generative AI’s proficiency in data analytics heralds a new era where innovation spans the spectrum from artistic expression to informed business strategies. So let’s take a brief look at some examples of how generative AI can be used for data analytics.

Data Analysis 96

Data Analysis Generative AI Data Science AI 96

Analytics Vidhya

FEBRUARY 26, 2023

This article explains how GPT-3 revolutionized AI in the Life Sciences Industry. Introduction Artificial Intelligence has seen enormous advancements in recent years, notably in the life sciences sector. Various fields of the life sciences, like Biotechnology, Pharmaceuticals, and Medical devices, could be transformed by using AI.

Artificial Intelligence 337

Artificial Intelligence Artificial Intelligence Explainability AI 337

AssemblyAI

FEBRUARY 10, 2025

These have been very impactful contracts for us," Lynn explains. The company structured its product offerings into distinct modules for agents, real-time analysis, and topic detection. "We couldn't sign companies like Abercrombie and Fitch or TUI Travel without having a call offering.

Text Analytics 130

Text Analytics Explainability Large Language Models Business Intelligence 130

Marktechpost

NOVEMBER 13, 2024

Data modeling and data analysis are two fundamental ideas in the contemporary field of data science that frequently overlap but are very different from one another. Anyone who works with data, whether they are an IT specialist, business analyst, or data scientist, must be aware of their distinctions.

Data Analysis 79

Data Analysis Machine Learning Data Science Data Scientist 79

Analytics Vidhya

AUGUST 13, 2024

It explains how these plots can reveal patterns in data, making them useful for data scientists and machine learning practitioners. Introduction This article explores violin plots, a powerful visualization tool that combines box plots with density plots.

Data Scientist 287

Data Scientist Machine Learning Explainability Data Analysis 287

AssemblyAI

MAY 4, 2023

Qualitative data analysis platforms like Marvin are building powerful features and tools on top of the latest advances in AI, like AssemblyAI’s state-of-the-art speech recognition model Conformer-1. Marvin’s product team was confident that AssemblyAI could provide both.

Large Language Models 275

Large Language Models Data Analysis Automation AI 275

Pickl AI

MARCH 6, 2025

Summary: This blog explains the differences between one-way ANOVA vs two-way ANOVA, their definitions, assumptions, and applications. Whether analysing one factor or two, this guide simplifies complex statistical concepts for researchers and Data Analysts.

Explainability 52

Explainability Categorization Data Analysis 52

AI News

OCTOBER 7, 2024

Additionally, around one-third of the Wazoku Crowd employed GenAI for report structuring, writing, and data analysis and insight. “The solutions to the world’s problems are complex, and the support of AI brings vast benefits in terms of efficiency, creativity, and insight generation,” explained Hill.

Big Data 302

Big Data AI AI Data Analysis 302

Towards AI

JANUARY 22, 2025

Simply put, focusing solely on data analysis, coding or modeling will no longer cuts it for most corporate jobs. My personal opinion: its more important than ever to be an end-to-end data scientist. You have to understand data, how to extract value from them and how to monitor model performances. What to do then?

Data Scientist 105

Data Scientist Data Drift Data Science Data Analysis 105

Analytics Vidhya

FEBRUARY 4, 2023

Introduction This article will explain the difference between ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) when data transformation occurs. In ETL, data is extracted from multiple locations to meet the requirements of the target data file and then placed into the file.

ETL 298

ETL Explainability Data Integration Data Analysis 298

Towards AI

JANUARY 27, 2023

In the increasingly competitive world, understanding the data and taking quicker actions based on that help create differentiation for the organization to stay ahead! It is used to discover trends [2], patterns, relationships, and anomalies in data, and can help inform the development of more complex models [3].

Data Analysis 98

Data Analysis Data Science Software Engineer Business Intelligence 98

Unite.AI

OCTOBER 20, 2023

Promote AI transparency and explainability: AI transparency means it is easy to understand how AI models work and make decisions. Explainability means these decisions can be easily communicated to others in non-technical terms.

Responsible AI 283

Responsible AI Generative AI AI AI 283

Unite.AI

NOVEMBER 6, 2024

This feature is invaluable for software engineering and data analysis tasks, as it minimizes human intervention and speeds up development cycles. ") student.send_message("Can you explain the concept of a derivative?") Let's dive into differential equations.") Here's a simple explanation.")

Automation 147

Automation Python Software Engineer AI 147

Analytics Vidhya

MAY 19, 2023

This field of mathematics helps analyze data and apply the findings to address various data-related issues. This article will explain the difference between descriptive vs inferential statistics. There are two broad categories of statistical methods: descriptive and inferential statistics.

Explainability 288

Explainability Data Analysis 288

Towards AI

SEPTEMBER 16, 2024

Outlier Detection Explained Before we get into the nitty-gritty of detecting outliers, let’s break down the types: These occur when you’re dealing with one variable. But here’s the catch: outliers can also offer valuable insights, like uncovering fraud or identifying hidden trends.

Explainability 111

Explainability Data Science AI AI 111

Unite.AI

MAY 8, 2024

He began his career at Yandex in 2017, concurrently studying at the Yandex School of Data Analysis. It was fascinating to see how you can build a predictive function directly from the data and then use it to predict unseen data. Alexandr Yarats is the Head of Search at Perplexity AI.

Machine Learning 298

Machine Learning Software Engineer Large Language Models Data Analysis 298

Towards AI

FEBRUARY 10, 2025

My specialty was data analysis. There were two teams of five data analysts. My team had to build a cost-of-living analysis application for cities worldwide. My claim to fame within the group was playing a key role in accessing the data to drive the app. We had to complete a group assignment.

UX Design 72

UX Design Python Data Analysis Explainability 72

IBM Journey to AI blog

SEPTEMBER 25, 2024

Human error : Manual data consolidation leads to misdiagnoses due to data fragmentation challenges. AI-driven data analysis reduces errors, helping ensure accurate diagnosis and resolution. Inconsistent data formats : Varying data formats make analysis difficult.

AI Strategy 316

AI Strategy Generative AI AI Large Language Models 316

Analytics Vidhya

JUNE 4, 2024

It is most useful in instances where the units of the data are different. This article will explain what the CV is and how it’s applied in various industries. Introduction The Coefficient of Variation (CV) is a valuable tool for comparing the variability of different datasets.

Explainability 241

Explainability Data Analysis 241

AWS Machine Learning Blog

MARCH 7, 2025

The graph, stored in Amazon Neptune Analytics, provides enriched context during the retrieval phase to deliver more comprehensive, relevant, and explainable responses tailored to customer needs. By linking this contextual information, the generative AI system can provide responses that are more complete, precise, and grounded in source data.

Auto-complete 123

Auto-complete Natural Language Processing Explainability Metadata 123

IBM Journey to AI blog

NOVEMBER 30, 2023

Linking database performance and changes DBmarlin excels in auto-detecting changes to schema objects, database parameters, explain plans and continuous integration/continuous deployment (CICD) tools. This functionality allows businesses to visualize the impact of changes on database performance over time.

Data Analysis 230

Data Analysis Explainability 230