IBM Journey to AI blog

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.

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ODSC - Open Data Science

SEPTEMBER 27, 2023

In the ever-evolving world of big data, managing vast amounts of information efficiently has become a critical challenge for businesses across the globe. As a result, data lakes can accommodate vast volumes of data from different sources, providing a cost-effective and scalable solution for handling big data.

Big Data 98

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IBM Journey to AI blog

NOVEMBER 14, 2023

Data monetization strategy: Managing data as a product Every organization has the potential to monetize their data; for many organizations, it is an untapped resource for new capabilities. But few organizations have made the strategic shift to managing “data as a product.”

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IBM Journey to AI blog

SEPTEMBER 5, 2024

To maximize the value of their AI initiatives, organizations must maintain data integrity throughout its lifecycle. Every organization aims for up-to-date information, real-time market awareness, and insights to achieve optimal business results. Managing this level of oversight requires adept handling of large volumes of data.

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Metadata Data Quality Auto-classification DevOps 189

Marktechpost

JUNE 5, 2024

Analytics, management, and business intelligence (BI) procedures, such as data cleansing, transformation, and decision-making, rely on data profiling. Content and quality reviews are becoming more important as data sets grow in size and variety of sources. The 18 best data profiling tools are listed below.

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IBM Journey to AI blog

SEPTEMBER 17, 2024

Its in-memory processing helps to ensure that data is ready for quick analysis and reporting, enabling real-time what-if scenarios and reports without lag. Our solution handles massive multidimensional cubes seamlessly, enabling you to maintain a complete view of your data without sacrificing performance or data integrity.

Big Data 100

Big Data Metadata Business Intelligence Data Integration 100

Pickl AI

NOVEMBER 18, 2024

Selecting the right alternative ensures efficient data-driven decision-making and aligns with your organisation’s goals and budget. Introduction Power BI has become one of the most popular business intelligence (BI) tools, offering powerful Data Visualisation, reporting, and decision-making features. billion to USD 54.27

Data Analysis 52

Data Analysis Business Intelligence Big Data Artificial Intelligence 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

TransOrg Analytics

AUGUST 9, 2024

Data Quality: Without proper governance, data quality can become an issue. Performance: Query performance can be slower compared to optimized data stores. Business Applications: Big Data Analytics : Supporting advanced analytics, machine learning, and artificial intelligence applications.

Machine Learning 52

Machine Learning ETL Big Data Data Analysis 52

Marktechpost

JULY 18, 2023

ETL solutions employ several data management strategies to automate the extraction, transformation, and loading (ETL) process, reducing errors and speeding up data integration. Skyvia Skyvia is a cloud data platform created by Devart that enables no-coding data integration, backup, management, and access.

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Marktechpost

AUGUST 27, 2024

This article lists the top data analysis courses that can help you build the essential skills needed to excel in this rapidly growing field. Introduction to Data Analytics This course provides a comprehensive introduction to data analysis, covering the roles of data professionals, data ecosystems, and Big Data tools like Hadoop and Spark.

Data Analysis 59

Data Analysis Python ETL Big Data 59

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

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IBM Journey to AI blog

OCTOBER 12, 2023

They’re built on machine learning algorithms that create outputs based on an organization’s data or other third-party big data sources. Sometimes, these outputs are biased because the data used to train the model was incomplete or inaccurate in some way.

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Marktechpost

JULY 23, 2023

A data warehouse is a data management system for data reporting, analysis, and storage. It is an enterprise data warehouse and is part of business intelligence. Data from one or more diverse sources is stored in data warehouses, which are central repositories. Integrate.io Integrate.io

Machine Learning 52

Machine Learning ETL Big Data Data Integration 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.

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Data Integration Metadata Big Data Business Intelligence 52

IBM Journey to AI blog

DECEMBER 16, 2022

And because data assets within the catalog have quality scores and social recommendations, Alex has greater trust and confidence in the data she’s using for her decision-making recommendations. This is especially helpful when handling massive amounts of big data. Protected and compliant data.

Metadata 130

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Pickl AI

JULY 18, 2023

Its speed and performance make it a favored language for big data analytics, where efficiency and scalability are paramount. SAS: Analytics and Business Intelligence SAS is a leading programming language for analytics and business intelligence. Q: What are the advantages of using Julia in Data Science?

Data Science 52

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Pickl AI

OCTOBER 11, 2024

This process typically includes cleansing, validating, and preparing data to ensure it meets the requirements of various systems and applications. It is a critical component of data management practices such as data integration, migration, and warehousing. What Are Common Data Management Tools?

Data Quality 52

Data Quality Data Integration Business Intelligence Artificial Intelligence 52

Artificial Corner

JUNE 6, 2023

Timeline of data engineering — Created by the author using canva In this post, I will cover everything from the early days of data storage and relational databases to the emergence of big data, NoSQL databases, and distributed computing frameworks.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

Pickl AI

NOVEMBER 15, 2023

Data scientists can explore, experiment, and derive valuable insights without the constraints of a predefined structure. This capability empowers organizations to uncover hidden patterns, trends, and correlations in their data, leading to more informed decision-making. It often serves as a source for Data Warehouses.

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ETL Metadata Business Intelligence Data Analysis 52

Pickl AI

JUNE 6, 2024

Here’s a glimpse into how scrubbing shines in different fields: Business Intelligence (BI) Imagine making crucial business decisions based on inaccurate reports. Data scrubbing is the knight in shining armour for BI. Data Security Breaches and hacking attempts of data highlight the importance of data integrity.

Machine Learning 40

Machine Learning Algorithm Business Intelligence Data Quality 40

AWS Machine Learning Blog

OCTOBER 2, 2024

However, scaling up generative AI and making adoption easier for different lines of businesses (LOBs) comes with challenges around making sure data privacy and security, legal, compliance, and operational complexities are governed on an organizational level. Tanvi Singhal is a Data Scientist within AWS Professional Services.

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Marktechpost

JULY 17, 2023

TIBCO Statistica With several collaboration and workflow capabilities included in the product to enable business intelligence throughout a company, TIBCO strongly emphasizes usability. This makes it a wise decision for your business if you anticipate using the tool by less experienced workers.

Data Mining 98

Data Mining Machine Learning Data Scientist Artificial Intelligence 98

Pickl AI

APRIL 26, 2024

During a data analysis project, I encountered a significant data discrepancy that threatened the accuracy of our analysis. I conducted thorough data validation, collaborated with stakeholders to identify the root cause, and implemented corrective measures to ensure data integrity.

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

Marktechpost

NOVEMBER 4, 2024

In order to solve particular business questions, this process usually includes developing and managing data systems, collecting and cleaning data, analyzing it statistically, and interpreting the findings. Google Cloud Smart Analytics supports organizations in building data-driven workflows and implementing AI at scale.

Data Analysis 78

Data Analysis Machine Learning Data Science Python 78

Marktechpost

NOVEMBER 1, 2024

Leveraging Google’s expertise in data handling and AI innovation, this platform offers extensive analytics capabilities that range from marketing and business intelligence to data science. Google Cloud Smart Analytics supports organizations in building data-driven workflows and implementing AI at scale.

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