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 130

Data Scientist Python Large Language Models Data Science 130

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 Large Language Models Data Scarcity 173

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

Defined.ai blog

AUGUST 10, 2023

Businesses must understand how to implement AI in their analysis to reap the full benefits of this technology. In the following sections, we will explore how AI shapes the world of financial data analysis and address potential challenges and solutions.

Business Intelligence 52

Business Intelligence Data Analysis Neural Network AI 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 Data Analysis Artificial Intelligence Artificial Intelligence 95

Pickl AI

JULY 3, 2023

It is the process of converting raw data into relevant and practical knowledge to help evaluate the performance of businesses, discover trends, and make well-informed choices. Data gathering, data integration, data modelling, analysis of information, and data visualization are all part of intelligence for businesses.

Business Intelligence 52

Business Intelligence ETL Continuous Learning Data Integration 52

Pickl AI

JULY 25, 2023

At the core of Data Science lies the art of transforming raw data into actionable information that can guide strategic decisions. Role of Data Scientists Data Scientists are the architects of data analysis. They clean and preprocess the data to remove inconsistencies and ensure its quality.

Data Science 52

Data Science Data Scientist ETL Machine Learning 52

Mlearning.ai

AUGUST 1, 2023

As a Data Scientist, mastering database management is crucial for efficient data analysis and decision-making. Over the past two years, MongoDB has been an integral part of my professional toolkit, and I’ve gathered valuable tips and tricks that can elevate your MongoDB experience as a Data Scientist.

Data Science 52

Data Science Data Scientist Data Integration Data Analysis 52

Pickl AI

SEPTEMBER 22, 2023

It helps ensure that the data input into a spreadsheet is accurate and conforms to specific criteria, preventing errors and inconsistencies in your data. Data validation is particularly useful when you’re creating forms, surveys, or templates in Excel or when you want to maintain data integrity in a shared workbook.

Data Analysis 52

Data Analysis Data Integration Categorization Data Science 52

Heartbeat

OCTOBER 25, 2023

The field demands a unique combination of computational skills and biological knowledge, making it a perfect match for individuals with a data science and machine learning background. Developing robust data integration and harmonization methods is essential to derive meaningful insights from heterogeneous datasets.

Machine Learning 52

Machine Learning Data Scientist Convolutional Neural Networks Algorithm 52

Pickl AI

OCTOBER 18, 2023

Data serves as the backbone of informed decision-making, and the accuracy, consistency, and reliability of data directly impact an organization’s operations, strategy, and overall performance. Informed Decision-making High-quality data empowers organizations to make informed decisions with confidence.

Data Quality 52

Data Quality ML Natural Language Processing Machine Learning 52

Pickl AI

AUGUST 1, 2023

Data Transformation: Converting, cleaning, and enriching raw data into a structured and consistent format suitable for analysis and reporting. Data Processing: Performing computations, aggregations, and other data operations to generate valuable insights from the data.

Big Data 52

Big Data Data Analysis Data Scientist Data Ingestion 52

Heartbeat

OCTOBER 23, 2023

Image from "Big Data Analytics Methods" by Peter Ghavami Here are some critical contributions of data scientists and machine learning engineers in health informatics: Data Analysis and Visualization: Data scientists and machine learning engineers are skilled in analyzing large, complex healthcare datasets.

Data Scientist 52

Data Scientist Machine Learning Big Data Algorithm 52

Pickl AI

APRIL 14, 2023

In addition, it also defines the framework wherein it is decided what action needs to be taken on certain data. And so, a company dealing in Big Data Analysis needs to follow stringent Data Governance policies. The same applies to data. What is Data Management? Wrapping it up !!!

Data Platform 52

Data Platform Data Integration Automation Data Ingestion 52

Pickl AI

FEBRUARY 4, 2024

This user-friendly approach makes Alteryx suitable for a diverse user base, from data enthusiasts to business analysts. Streamlined Data Integration Alteryx redefines the way organizations handle data integration. Benefits of Alteryx 1.

ETL 52

ETL Automation Machine Learning Data Integration 52

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

JUNE 23, 2023

Data-Driven Approach Data-Centric Approach Focus Emphasizes using data to make decisions Focuses on organizing and managing data Decision-Making Decisions are based on data analysis Data is used to support decision-making Goal Optimize outcomes based on data insights Efficient data management and governance Process Data analysis drives decision-making (..)

Continuous Learning 52

Continuous Learning Data Quality AI AI 52

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 287

ETL Explainability Data Integration Data Analysis 287

Pickl AI

JULY 18, 2023

While it may not be a traditional programming language, SQL plays a crucial role in Data Science by enabling efficient querying and extraction of data from databases. SQL’s powerful functionalities help in extracting and transforming data from various sources, thus helping in accurate data analysis.

Data Science 52

Data Science Data Scientist Python Business Intelligence 52

Defined.ai blog

SEPTEMBER 5, 2023

Armed with detailed data, AI can detect these shifts long before human analysts, allowing businesses to pivot or adapt swiftly. Lastly, manual data analysis is no longer feasible with the sheer volume of transactions in the retail sector. Solution : Implement data cleaning protocols and use data validation tools.

AI Modeling 52

AI Modeling AI AI Machine Learning 52

ODSC - Open Data Science

JUNE 12, 2023

They all agree that a Datamart is a subject-oriented subset of a data warehouse focusing on a particular business unit, department, subject area, or business functionality. The Datamart’s data is usually stored in databases containing a moving frame required for data analysis, not the full history of data.

ETL 52

ETL Business Intelligence Data Science Data Analysis 52

Pickl AI

JUNE 28, 2023

And so, a robust data modelling tool should include a data dictionary feature. Thus, helping maintenance of data integrity. At the same time, it also facilitates understanding of the data model by providing descriptions and definitions for each element. It allows users to document and manage metadata efficiently.

Metadata 52

Metadata Data Integration Automation Software Development 52

Pickl AI

JUNE 18, 2023

Hadoop has become a highly familiar term because of the advent of big data in the digital world and establishing its position successfully. The technological development through Big Data has been able to change the approach of data analysis vehemently. But what is Hadoop and what is the importance of Hadoop in Big Data?

Big Data 52

Big Data Machine Learning Data Quality Data Analysis 52

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 195

Data Platform AI AI Data Mining 195

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

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 Analysis Data Science Python 98

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

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 179

Data Analysis Explainable AI Data Scientist AI Strategy 179

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 Ingestion 162

Pickl AI

NOVEMBER 14, 2023

Your journey ends here where you will learn the essential handy tips quickly and efficiently with proper explanations which will make any type of data importing journey into the Python platform super easy. Introduction Are you a Python enthusiast looking to import data into your code with ease?

Python 52

Python Data Analysis Data Science Data Scientist 52

Pickl AI

JULY 12, 2023

We are living in a world where data drives decisions. Data manipulation in Data Science is the fundamental process in data analysis. The data professionals deploy different techniques and operations to derive valuable information from the raw and unstructured data.

Data Analysis 52

Data Analysis Data Quality Data Science Python 52

Marktechpost

JULY 23, 2023

It’s perfect for deriving real-time business intelligence from extensive data analysis. is a cloud-based data integration platform to create simple, visualized data pipelines for your data warehouse. It will combine all of your data sources. It can work with structured and unstructured data.

Machine Learning 52

Machine Learning ETL Big Data Data Integration 52

Mlearning.ai

AUGUST 10, 2023

It is a data integration process that involves extracting data from various sources, transforming it into a consistent format, and loading it into a target system. ETL ensures data quality and enables analysis and reporting. Finally, it will show us the data. Figure 16: Dashboard data 4.3.

Business Intelligence 52

Business Intelligence ETL Data Analysis Python 52

Pickl AI

NOVEMBER 15, 2023

This empowers decision-makers at all levels to gain a comprehensive understanding of business performance, trends, and key metrics, fostering data-driven decision-making. Historical Data Analysis Data Warehouses excel in storing historical data, enabling organizations to analyze trends and patterns over time.

ETL 52

ETL Business Intelligence Metadata Data Analysis 52

Pickl AI

MAY 15, 2023

Online Processing: this type of data processing involves managing transactional data in real time and focuses on handling individual transaction. The systems are designed to ensure data integrity, concurrency and quick response times for enabling interactive user transactions. What is the key objective of data analysis?

Machine Learning 52

Machine Learning Data Analysis Data Integration Metadata 52

Pickl AI

JULY 23, 2023

Data Processing Data processing involves cleaning, transforming, and organizing the collected data to prepare it for analysis. This step is crucial for eliminating inconsistencies and ensuring data integrity. Data Analysis Data analysis is the heart of deriving insights from the gathered information.

Data Analysis 52

Data Analysis Explainability Algorithm Natural Language Processing 52

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 213

Machine Learning Automation AI AI 213