Unite.AI

OCTOBER 30, 2024

While AI can excel at certain tasks — like data analysis and process automation — many organizations encounter difficulties when trying to apply these tools to their unique workflows. Lexalytics’s article greatly highlights what happens when you integrate AI just to jump on the AI hype train.

Automation 189

Automation AI AI Data Quality 189

Unite.AI

SEPTEMBER 18, 2023

Authority Management Access control is a security & privacy technology that is used to restrict a user’s access to authorized resources on the basis of pre-defined rules, set of instructions, policies, safeguarding data integrity, and system security.

Deep Learning 321

Deep Learning Artificial Intelligence Artificial Intelligence AI 321

IBM Journey to AI blog

JUNE 28, 2023

Processing terabytes or even petabytes of increasing complex omics data generated by NGS platforms has necessitated development of omics informatics. Analytical requirements: Once the data has been brought onto a single platform, and the tools have been assembled into a pipeline, computational techniques must be deployed to interpret data.

Data Analysis 186

Data Analysis Data Scientist Explainable AI AI Strategy 186

IBM Journey to AI blog

APRIL 15, 2024

Data integration stands as a critical first step in constructing any artificial intelligence (AI) application. While various methods exist for starting this process, organizations accelerate the application development and deployment process through data virtualization. Why choose data virtualization?

Data Platform 204

Data Platform Data Mining AI AI 204

Marktechpost

JUNE 18, 2024

Focused on its speed, reliability, portability, and user-friendliness, DuckDB offers a robust SQL dialect that goes far beyond basic SQL functionalities, making it an exceptional tool for sophisticated data analysis. This is crucial for maintaining data consistency in environments with concurrent data modifications.

Data Analysis 105

Data Analysis Data Science Data Integration Python 105

Flipboard

MARCH 27, 2023

There’s Airtable, of course, plus upstarts like Spreadsheet.com , Actiondesk and Pigment — the last of which raised $73 million last November for its data analytics and visualization service.

Data Scientist 145

Data Scientist Python Data Science Large Language Models 145

Unite.AI

OCTOBER 14, 2024

What are the primary challenges organizations face when implementing AI for unstructured data analysis, and how does Quantum help mitigate these challenges? Organizations must completely reimagine their approach to storage, as well as data and content management as a whole.

ML 195

ML Data Ingestion Data Analysis Machine Learning 195

Unite.AI

JUNE 10, 2024

It's improving the accuracy of medical image diagnostics, helping create personalized treatments through genomic data analysis, and speeding up drug discovery by examining biological data. 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

Marktechpost

JUNE 5, 2024

You can optimize your costs by using data profiling to find any problems with data quality and content. Fixing poor data quality might otherwise cost a lot of money. The 18 best data profiling tools are listed below. It comes with an Informatica Data Explorer function to meet your data profiling requirements.

Data Quality 115

Data Quality Metadata Data Integration ETL 115

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

Unite.AI

JANUARY 22, 2024

Synthetic data , artificially generated to mimic real data, plays a crucial role in various applications, including machine learning , data analysis , testing, and privacy protection. Google researchers highlighted advancements in named entity recognition, relation extraction, and question answering.

NLP 173

NLP BERT Data Scarcity Large Language Models 173

Marktechpost

JUNE 30, 2024

The AI Workbook: AI workbooks combine the power of AI with traditional data analysis and management tools. Examples include V7 Go, Elicit Workbooks, Sheets, or Excel API integrations. AI workbooks can also suggest data visualizations and provide predictive analytics, making it easier for users to interpret and act on their data.

Generative AI 118

Generative AI Chatbots Natural Language Processing Automation 118

Unite.AI

DECEMBER 5, 2023

These can include structured databases, log files, CSV files, transaction tables, third-party business tools, sensor data, etc. The pipeline ensures correct, complete, and consistent data. The data ecosystem is connected to company-defined data sources that can ingest historical data after a specified period.

Metadata 162

Metadata Big Data ETL Data Mining 162

ODSC - Open Data Science

APRIL 6, 2023

You can perform data analysis within SQL Though mentioned in the first example, let’s expand on this a bit more. SQL allows for some pretty hefty and easy ad-hoc data analysis for the data professional on the go. Each of these creates visualizations and reports based on data stored in a database.

Data Scientist 98

Data Scientist Data Science Data Analysis Python 98

Unite.AI

AUGUST 27, 2024

Interact with data: Analyze uploaded files and answer questions about the data, integrating seamlessly with web searches for a complete view. When to Use Perplexity Over ChatGPT When facing challenging data analysis or doing fact-based research, I find that Perplexity AI comes out on top over ChatGPT.

ChatGPT 264

ChatGPT AI AI AI Tools 264

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.

Generative AI 147

Generative AI AI AI Data Scientist 147

Marktechpost

JULY 16, 2024

Spreadsheet analysis is essential for managing and interpreting data within extensive, flexible, two-dimensional grids used in tools like Microsoft Excel and Google Sheets. These grids include various formatting and complex structures, which pose significant challenges for data analysis and intelligent user interaction.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence Large Language Models Data Analysis 105

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.

LLM 103

LLM AI Tools Large Language Models Data Ingestion 103

Marktechpost

AUGUST 27, 2024

Data analysis helps organizations make informed decisions by turning raw data into actionable insights. With businesses increasingly relying on data-driven strategies, the demand for skilled data analysts is rising. You’ll learn the fundamentals of gathering, cleaning, analyzing, and visualizing data.

Data Analysis 59

Data Analysis Python ETL Big Data 59

IBM Journey to AI blog

OCTOBER 20, 2023

Store operating platform : Scalable and secure foundation supports AI at the edge and data integration. The shift to value-based care makes reimbursements more elusive, driving organizations to look for ways to boost efficiency and productivity in order to meet their financial goals.

Machine Learning 225

Machine Learning Automation AI AI 225

Unite.AI

NOVEMBER 28, 2024

The platform incorporates real-time data analysis capabilities, extracting and processing information from conversations to generate operational insights. The system's architecture processes millions of concurrent calls while maintaining consistent response patterns, operating independently of traditional business hours.

Natural Language Processing 130

Natural Language Processing Automation AI AI 130

Marktechpost

NOVEMBER 19, 2024

Companies that need time-bound, structured data analysis for operational or financial reporting. Organizations that concentrate on historical trends, where dependable decision-making benefits from consistent schemas and structured data.

Big Data 83

Big Data ETL Business Intelligence Data Analysis 83

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

Marktechpost

MAY 7, 2024

The rise of intelligent apps and agents highlights the importance of reliable and secure code interpreters to ensure efficient operations while maintaining data integrity and system security. Custom code execution needs a trustworthy, isolated environment to prevent malicious code from causing unintended consequences.

AI 83

AI AI Python Artificial Intelligence 83

IBM Journey to AI blog

SEPTEMBER 4, 2024

Some of the world’s largest banks and financial institutions, such as PayPal, Ing and JP Morgan Chase, use it for real-time data analysis, financial fraud detection, risk management in banking operations, regulatory compliance, market analysis and more.

Big Data 146

Big Data Data Analysis Data Integration Automation 146

Pickl AI

DECEMBER 6, 2024

Skilled personnel are necessary for accurate Data Analysis. Pricing Analytics is the practice of using Data Analysis techniques to determine the most effective pricing strategies for products or services. Executive alignment is crucial for successful pricing initiatives. What is Pricing Analytics?

Data Analysis 52

Data Analysis Data Quality Algorithm Big Data 52

Towards AI

APRIL 12, 2024

This is the point in time where there are good results from the integration of IoT and data analytics when the strategy of the real-time supply chain becomes prominent.

Machine Learning 95

Machine Learning Artificial Intelligence Artificial Intelligence Data Analysis 95

Unite.AI

JUNE 26, 2024

Our vision for Skill Studio is to give data analysts the tools to create AI-powered assistants for virtually any data analysis use case under the sun. It’s about helping them stamp their processes and best practices into reusable and composable AI agents that can make quick work of tough data analysis tasks.

Data Analysis 100

Data Analysis Automation Data Scientist Conversational AI 100

Unite.AI

NOVEMBER 21, 2024

In healthcare, we’re seeing GenAI make a big impact by automating things like medical diagnostics, data analysis and administrative work. Next, technical interventions are incorporated into our internal processes that focus on high-quality, unbiased data, with measures to ensure data integrity and fairness.

DevOps 147

DevOps Automation Responsible AI Software Development 147

Unite.AI

OCTOBER 26, 2023

This tool excels in offering user-friendly features for effortless customer interactions across various channels, coupled with efficient data analysis and content management. Workflow Automation and Analytics : Offers automated processes and insightful data analysis for improved sales strategies.

Automation 162

Automation Auto-complete Data Analysis Natural Language Processing 162

Pickl AI

JULY 3, 2024

Key Attributes These attributes play a vital role in data organization and retrieval within a database table. The most common type of key attribute is the primary key, which enforces data integrity by ensuring no two entities share the same value for this attribute. They uniquely identify an entity instance.

Data Analysis 52

Data Analysis Big Data Data Integration Machine Learning 52

Pickl AI

OCTOBER 23, 2024

Enhance your spreadsheets with efficient dropdown lists for improved data integrity. Introduction Dropdown list in Excel are a powerful feature that simplifies data entry. Read More: Use of Excel in Data Analysis Key Takeaways Streamlined Data Entry: Dropdown lists make data entry faster and more efficient for users.

Data Analysis 52

Data Analysis Data Integration Data Quality Explainability 52

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 121

Data Ingestion Python Automation AI 121

Pickl AI

JULY 25, 2024

Learn how each schema impacts performance, data integrity, and complexity to find the best fit for your data warehousing needs. Introduction Dimensional modelling is crucial for organising data to enhance query performance and reporting efficiency. The Star Schema is user-friendly due to its intuitive structure.

Business Intelligence 52

Business Intelligence Data Integration Data Analysis 52

Pickl AI

APRIL 26, 2024

Top 50+ Interview Questions for Data Analysts Technical Questions SQL Queries What is SQL, and why is it necessary for data analysis? SQL stands for Structured Query Language, essential for querying and manipulating data stored in relational databases. How would you segment customers based on their purchasing behaviour?

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

Pickl AI

OCTOBER 6, 2024

It is a crucial data integration process that involves moving data from multiple sources into a destination system, typically a data warehouse. This process enables organisations to consolidate their data for analysis and reporting, facilitating better decision-making. What is ELT?

ETL 52

ETL Data Quality Data Integration Big Data 52

Pickl AI

JUNE 16, 2024

Summary: Excel’s COUNT function efficiently tallies numeric entries, enhancing Data Analysis accuracy. Additionally, counting characters using formulas like LEN aids in text analysis. Mastering these count formulas in Excel is crucial for precise data management and boosting productivity in data-driven tasks.

Data Analysis 52

Data Analysis Data Quality Data Integration Automation 52