AI News

MAY 20, 2024

Only a third of leaders confirmed that their businesses ensure the data used to train generative AI is diverse and unbiased. Furthermore, only 36% have set ethical guidelines, and 52% have established data privacy and security policies for generative AI applications.

Generative AI 238

Generative AI Big Data AI AI 238

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

Pickl AI

NOVEMBER 18, 2024

Summary: Power BI alternatives like Tableau, Qlik Sense, and Zoho Analytics provide businesses with tailored Data Analysis and Visualisation solutions. Selecting the right alternative ensures efficient data-driven decision-making and aligns with your organisation’s goals and budget.

Data Analysis 52

Data Analysis Business Intelligence Big Data Artificial Intelligence 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

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 72

Big Data ETL Business Intelligence Data Analysis 72

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

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

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 189

Data Analysis Data Scientist Explainable AI AI Strategy 189

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 112

Data Quality Metadata Data Integration ETL 112

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 214

Data Platform Data Mining AI AI 214

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

OCTOBER 16, 2024

Summary: Relational Database Management Systems (RDBMS) are the backbone of structured data management, organising information in tables and ensuring data integrity. Introduction RDBMS is the foundation for structured data management. Introduction RDBMS is the foundation for structured data management.

Data Integration 52

Data Integration Big Data Business Intelligence Machine Learning 52

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 113

Generative AI Chatbots Natural Language Processing Automation 113

Pickl AI

OCTOBER 18, 2024

It ensures data integrity by preventing duplicate entries and can consist of one or more columns. Introduction Database Management Systems (DBMS) are essential for efficiently storing, managing, and retrieving data in relational databases. Keys are crucial in these systems to ensure data integrity and enable efficient access.

Data Integration 52

Data Integration Data Analysis Data Science Machine Learning 52

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

NOVEMBER 4, 2024

Data modelling is crucial for structuring data effectively. It reduces redundancy, improves data integrity, and facilitates easier access to data. Data Warehousing A data warehouse is a centralised repository that stores large volumes of structured and unstructured data from various sources.

Data Quality 52

Data Quality ETL Data Integration Machine Learning 52

Unite.AI

SEPTEMBER 21, 2023

AI's real-time data analysis and decision-making capabilities expand blockchain’s authenticity, augmentation, and automation capabilities. Addressing this issue demands highly optimized and effective data integration strategies and data-sharing models. Both technologies complement each other.

Convolutional Neural Networks 289

Convolutional Neural Networks Neural Network Artificial Intelligence Artificial Intelligence 289

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

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

AUGUST 5, 2024

These functions enhance Data Analysis, reporting, and decision-making. It plays a crucial role in Data Analysis and retrieval. SQL aggregate functions, such as COUNT(), SUM(), AVG(), MIN(), and MAX(), are essential for performing calculations on data sets. Read: Introduction to MySQL.

Data Analysis 52

Data Analysis Data Integration 52

Pickl AI

NOVEMBER 3, 2024

Summary: Pattern matching in SQL enables users to identify specific sequences of data within databases using various techniques such as the LIKE operator and regular expressions. This powerful feature enhances data analysis, allowing for complex queries that can uncover trends and insights across datasets.

Data Analysis 52

Data Analysis Data Integration Data Science Artificial Intelligence 52

Pickl AI

OCTOBER 10, 2024

Summary: This blog presents 15 advanced Excel interview questions designed to evaluate candidates’ expertise in data analysis, formula usage, and spreadsheet management. Topics include VLOOKUP vs. INDEX/MATCH, pivot tables, macros, and data validation. What are array formulas, and how do you use them?

Data Analysis 52

Data Analysis Explainability Automation Data Integration 52

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 104

Artificial Intelligence Artificial Intelligence Large Language Models Data Analysis 104

Pickl AI

OCTOBER 17, 2024

Summary: Descriptive Analytics tools transform historical data into visual reports, helping businesses identify trends and improve decision-making. Popular tools like Power BI, Tableau, and Google Data Studio offer unique features for Data Analysis. The right tool should simplify Data Analysis and scale with your growth.

Data Analysis 52

Data Analysis Machine Learning Automation Artificial Intelligence 52

Pickl AI

OCTOBER 10, 2024

Introduction Data transformation plays a crucial role in data processing by ensuring that raw data is properly structured and optimised for analysis. Data transformation tools simplify this process by automating data manipulation, making it more efficient and reducing errors.

ETL 52

ETL Data Quality Business Intelligence Big Data 52

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

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

Pickl AI

AUGUST 27, 2024

Secondary Data Analysis This involves analysing existing data from sources such as databases, archives, or previous studies. Secondary data can be quicker and less expensive to obtain but may lack the specificity and control of primary data collection.

Data Analysis 52

Data Analysis Data Integration Categorization Data Quality 52

Pickl AI

AUGUST 27, 2024

It offers flexibility in handling indexes, creating hierarchical indexes, and managing overlapping data. This guide explains the syntax, parameters, and practical examples to help you master data concatenation in Python. The pandas library in Python offers a powerful tool for this purpose: the concat function.

Python 52

Python Data Analysis Explainability Data Integration 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

SEPTEMBER 5, 2024

This role involves a combination of Data Analysis, project management, and communication skills, as Operations Analysts work closely with various departments to implement changes that align with organisational objectives. Data Quality Issues Operations Analysts rely heavily on data to inform their recommendations.

Data Analysis 52

Data Analysis Data Quality Automation Solutions Analyst 52

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

TransOrg Analytics

AUGUST 9, 2024

When to Use: Opt for a data lake when you need to store large volumes of diverse data for big data analytics, machine learning, and exploratory data analysis. Data Warehouses A Data Warehouse is a centralized repository for storing large amounts of structured data.

Machine Learning 52

Machine Learning ETL Big Data Data Analysis 52

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

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

Pickl AI

SEPTEMBER 11, 2024

Platform as a Service (PaaS) PaaS offerings provide a development environment for building, testing, and deploying Big Data applications. This layer includes tools and frameworks for data processing, such as Apache Hadoop, Apache Spark, and data integration tools.

Big Data 52

Big Data Data Integration Machine Learning Data Ingestion 52

Pickl AI

JULY 19, 2024

They enhance data integrity, security, and accessibility while providing tools for efficient data management and retrieval. A Database Management System (DBMS) is specialised software designed to efficiently manage and organise data within a computer system. Indices are data structures optimised for rapid data retrieval.

Data Integration 52

Data Integration Metadata Big Data Business Intelligence 52