ODSC - Open Data Science

NOVEMBER 29, 2024

As organizations amass vast amounts of information, the need for effective management and security measures becomes paramount. Artificial Intelligence (AI) stands at the forefront of transforming data governance strategies, offering innovative solutions that enhance data integrity and security.

Data Integration 40

Data Integration Automation Machine Learning AI 40

Marktechpost

NOVEMBER 19, 2024

With their own unique architecture, capabilities, and optimum use cases, data warehouses and big data systems are two popular solutions. The differences between data warehouses and big data have been discussed in this article, along with their functions, areas of strength, and considerations for businesses.

Big Data 80

Big Data ETL Business Intelligence Data Analysis 80

Unite.AI

DECEMBER 27, 2024

Its not a choice between better data or better models. The future of AI demands both, but it starts with the data. Why Data Quality Matters More Than Ever According to one survey, 48% of businesses use big data , but a much lower number manage to use it successfully. Why is this the case?

Data Quality 130

Data Quality Data Drift Explainability Big Data 130

ODSC - Open Data Science

JUNE 19, 2023

With the advent of big data in the modern world, RTOS is becoming increasingly important. As software expert Tim Mangan explains, a purpose-built real-time OS is more suitable for apps that involve tons of data processing. The Big Data and RTOS connection IoT and embedded devices are among the biggest sources of big data.

Big Data 96

Big Data ETL Data Science Artificial Intelligence 96

ODSC - Open Data Science

APRIL 28, 2023

Be sure to check out her talk, “ Power trusted AI/ML Outcomes with Data Integrity ,” there! Due to the tsunami of data available to organizations today, artificial intelligence (AI) and machine learning (ML) are increasingly important to businesses seeking competitive advantage through digital transformation.

Data Integration 98

Data Integration ML ESG Big Data 98

Flipboard

NOVEMBER 15, 2024

This post shows you how to enrich your AWS Glue Data Catalog with dynamic metadata using foundation models (FMs) on Amazon Bedrock and your data documentation. AWS Glue is a serverless data integration service that makes it straightforward for analytics users to discover, prepare, move, and integrate data from multiple sources.

Metadata 146

Metadata Generative AI LLM AI 146

AWS Machine Learning Blog

MARCH 18, 2025

In the rapidly evolving healthcare landscape, patients often find themselves navigating a maze of complex medical information, seeking answers to their questions and concerns. However, accessing accurate and comprehensible information can be a daunting task, leading to confusion and frustration.

LLM 83

LLM NLP Data Integration AI 83

Pickl AI

MARCH 19, 2025

Understanding Data Engineering Data engineering is collecting, storing, and organising data so businesses can use it effectively. It involves building systems that move and transform raw data into a usable format. Without data engineering , companies would struggle to analyse information and make informed decisions.

Big Data 52

Big Data Automation Data Science Python 52

Unite.AI

DECEMBER 5, 2023

In this digital economy, data is paramount. Today, all sectors, from private enterprises to public entities, use big data to make critical business decisions. However, the data ecosystem faces numerous challenges regarding large data volume, variety, and velocity. Enter data warehousing!

Metadata 162

Metadata Big Data ETL Data Mining 162

Pickl AI

SEPTEMBER 11, 2024

Summary: Big Data as a Service (BDaaS) offers organisations scalable, cost-effective solutions for managing and analysing vast data volumes. By outsourcing Big Data functionalities, businesses can focus on deriving insights, improving decision-making, and driving innovation while overcoming infrastructure complexities.

Big Data 52

Big Data Data Integration Machine Learning Data Ingestion 52

Pickl AI

AUGUST 9, 2024

Summary: A comprehensive Big Data syllabus encompasses foundational concepts, essential technologies, data collection and storage methods, processing and analysis techniques, and visualisation strategies. Fundamentals of Big Data Understanding the fundamentals of Big Data is crucial for anyone entering this field.

Big Data 52

Big Data Machine Learning Algorithm Data Scientist 52

Pickl AI

JANUARY 27, 2025

Summary: HDFS in Big Data uses distributed storage and replication to manage massive datasets efficiently. By co-locating data and computations, HDFS delivers high throughput, enabling advanced analytics and driving data-driven insights across various industries. It fosters reliability. between 2024 and 2030.

Big Data 52

Big Data Data Integration ETL Metadata 52

IBM Journey to AI blog

NOVEMBER 14, 2023

Internal data monetization initiatives measure improvement in process design, task guidance and optimization of data used in the organization’s product or service offerings. Creating value from data involves taking some action on the data. Doing so can increase the quality of data integrated into data products.

ESG 315

ESG Generative AI AI AI 315

IBM Journey to AI blog

SEPTEMBER 5, 2024

Everything is data—digital messages, emails, customer information, contracts, presentations, sensor data—virtually anything humans interact with can be converted into data, analyzed for insights or transformed into a product. Managing this level of oversight requires adept handling of large volumes of data.

Metadata 188

Metadata Data Quality Auto-classification DevOps 188

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.

Data Scientist 234

Data Scientist Metadata Explainability Responsible AI 234

Pickl AI

OCTOBER 11, 2024

It supports compliance with regulations and enhances accessibility, allowing organizations to leverage insights for informed decision-making. Introduction In the realm of technology, business, and science, the terms data and information are often used interchangeably. What is Data? Data can include: Numbers (e.g.,

Data Quality 52

Data Quality Data Integration Business Intelligence Artificial Intelligence 52

IBM Journey to AI blog

DECEMBER 11, 2023

Control and flexibility Organizations favor a hybrid cloud approach as it offers control and greater flexibility in the allocation of data and resources, resulting in various deployment options. For instance, an organization can exercise control over workloads with sensitive data (e.g.,

DevOps 308

DevOps Automation Generative AI Big Data 308

Pickl AI

JUNE 7, 2024

Summary: Choosing the right ETL tool is crucial for seamless data integration. Top contenders like Apache Airflow and AWS Glue offer unique features, empowering businesses with efficient workflows, high data quality, and informed decision-making capabilities. Also Read: Top 10 Data Science tools for 2024.

ETL 40

ETL Data Integration Data Quality Metadata 40

Marktechpost

JUNE 5, 2024

Data profiling is a crucial tool. For evaluating data quality. It entails analyzing, cleansing, transforming, and modeling data to find valuable information, improve data quality, and assist in better decision-making, What is Data Profiling? Fixing poor data quality might otherwise cost a lot of money.

Data Quality 110

Data Quality Metadata Data Integration ETL 110

Aiiot Talk

SEPTEMBER 13, 2023

Global data volumes are expected to exceed 180 zettabytes by 2025. As this amount continues to soar, the cloud offers an efficient and cost-effective way to use and analyze information. Its global network of data centers ensures fast data access and scalability.

Data Science 130

Data Science Data Scientist Machine Learning Big Data 130

Attivio

JUNE 8, 2015

Featuring self-service data discovery acceleration capabilities, this new solution solves a major issue for business intelligence professionals: significantly reducing the tremendous amount of time being spent on data before it can be analyzed. Attivio 5 will be made available for evaluation the following day, Wednesday, June 10.

Business Intelligence 40

Business Intelligence Big Data Data Discovery Data Scientist 40

IBM Journey to AI blog

DECEMBER 16, 2022

So, instead of wandering the aisles in hopes you’ll stumble across the book, you can walk straight to it and get the information you want much faster. An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more.

Metadata 130

Metadata Data Quality Data Discovery Data Scientist 130

IBM Journey to AI blog

JANUARY 29, 2024

Another is augmented reality technology that uses algorithms to mimic digital information and understand a physical environment. This operating model increases operational efficiency and can better organize big data. An example is machine learning, which enables a computer or machine to mimic the human mind.

Automation 213

Automation Artificial Intelligence Artificial Intelligence Big Data 213

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

Big Data Metadata ETL Data Science 98

IBM Journey to AI blog

SEPTEMBER 4, 2024

’ In Apache architecture, an event is any message that contains information describing what a user has done. A ‘consumer’ is any component that needs the data that’s been created by the producer to function.

Big Data 146

Big Data Data Analysis Data Integration Automation 146

Towards AI

APRIL 22, 2024

Items in your shopping carts, comments on all your posts, and changing scores in a video game are examples of information stored somewhere in a database. Some of the databases in Web Technology: A database is necessary for every organization in order to organize and keep its core information. Which begs the question what is a database?

Big Data 108

Big Data Data Integration AI AI 108

Pickl AI

OCTOBER 22, 2024

Summary: Relational database organize data into structured tables, enabling efficient retrieval and manipulation. They ensure data integrity and reduce redundancy through defined relationships. Introduction What if you could instantly access any piece of information you need, without having to sift through piles of data?

Data Integration 52

Data Integration Big Data Linked Data Artificial Intelligence 52

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

AWS Machine Learning Blog

FEBRUARY 29, 2024

The native traceability support informs the requesting application about the sources used to answer a question. For enterprise implementations, Knowledge Bases supports AWS Key Management Service (AWS KMS) encryption, AWS CloudTrail integration, and more. This data is information rich but can be vastly heterogenous.

Machine Learning 136

Machine Learning Computer Vision Generative AI Explainability 136

Unite.AI

FEBRUARY 21, 2024

All of these features are extremely helpful for modern data teams, but what makes Airflow the ideal platform is that it is an open-source project –– meaning there is a community of Airflow users and contributors who are constantly working to further develop the platform, solve problems and share best practices.

LLM 147

LLM Data Platform Software Engineer Chatbots 147

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. For more information, see Monitor Amazon Bedrock with Amazon CloudWatch.

Generative AI 123

Generative AI Data Ingestion AI AI 123

Pickl AI

JULY 30, 2024

Its architecture includes FlowFiles, repositories, and processors, enabling efficient data processing and transformation. With a user-friendly interface and robust features, NiFi simplifies complex data workflows and enhances real-time data integration. How Does Apache NiFi Ensure Data Integrity?

Data Ingestion 52

Data Ingestion ETL Big Data Data Integration 52

AWS Machine Learning Blog

DECEMBER 4, 2023

For more information about how to get started building your own ML pipelines with SageMaker, see Amazon SageMaker resources. Esra Kayabalı is a Senior Solutions Architect at AWS, specialized in the analytics domain, including data warehousing, data lakes, big data analytics, batch and real-time data streaming, and data integration.

BERT 120

BERT Auto-complete Data Scientist Machine Learning 120

AWS Machine Learning Blog

DECEMBER 7, 2023

Historic transactional demand data, location-based weather information, holiday dates, promotions and marketing campaign data are the features used in the model as shown in the graph below. These daily predictions are subsequently broken down into hourly segments, as depicted in the following graph.

Convolutional Neural Networks 126

Convolutional Neural Networks Algorithm Neural Network Data Science 126

AWS Machine Learning Blog

JUNE 3, 2024

Use the chat feature for exploratory analysis and building transformations Before you use the chat feature to prepare data, note the following: Chat for data prep requires the AmazonSageMakerCanvasAIServicesAccess policy. For more information, see AWS managed policy: AmazonSageMakerCanvasAIServicesAccess. Choose Create.

Generative AI 117

Generative AI Categorization Auto-complete Auto-classification 117

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. These rules prevent duplicate records and maintain referential integrity.

Data Integration 52

Data Integration Big Data Machine Learning Business Intelligence 52

Pickl AI

JULY 3, 2024

and their significance in data retrieval, analysis, and security. Learn best practices for attribute design and how they contribute to the evolving data landscape. Introduction In the realm of databases, where information reigns supreme, attributes are the fundamental building blocks. They uniquely identify an entity instance.

Data Analysis 52

Data Analysis Big Data Data Integration Machine Learning 52