Flipboard

NOVEMBER 27, 2024

Together with price-performance, Amazon Redshift offers capabilities such as serverless architecture, machine learning integration within your data warehouse and secure data sharing across the organization. dbt Cloud is a hosted service that helps data teams productionize dbt deployments.

ETL 134

ETL Data Warehouse Analytics Analytics 134

AWS Machine Learning Blog

APRIL 15, 2025

One of the critical challenges Clario faces when supporting its clients is the time-consuming process of generating documentation for clinical trials, which can take weeks. The content of these documents is largely derived from the Charter, with significant reformatting and rephrasing required.

AWS 63

AWS Data Science ML ML 63

AWS Machine Learning Blog

SEPTEMBER 3, 2024

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. However, managing the complex infrastructure required for big data workloads has traditionally been a significant challenge, often requiring specialized expertise. latest USER root RUN dnf install python3.11

AWS 116

AWS Clustering Big Data Big Data 116

Dataconomy

SEPTEMBER 4, 2023

Text analytics: Text analytics, also known as text mining, deals with unstructured text data, such as customer reviews, social media comments, or documents. It uses natural language processing (NLP) techniques to extract valuable insights from textual data. Poor data integration can lead to inaccurate insights.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Hacker News

NOVEMBER 27, 2024

A collection of Python scripts, including the ones originally used to crawl the data, and to perform experiments. These scripts are detailed in a document released within the folder. "I'm in the Bluesky Tonight": Insights from a Year Worth of Social Data. IR0000013 – Avviso n.

Big Data Analytics 106

Big Data Analytics Big Data Analytics Big Data Big Data 106

Pickl AI

MARCH 19, 2023

Dealing with a large volume of structured and unstructured data requires meticulous work and precision. Data scientists and Big Data analytics work rigorously to derive useful insights. Big Data has many benefits, as it improves decision-making, develops new products and reduce costs.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Dataconomy

JULY 4, 2023

Big Data: Extracting insights from vast data sets Big Data technologies enable the storage, analysis, and management of massive volumes of data generated by devices, sensors, and digital systems.

Natural Language Processing 192

Natural Language Processing Big Data Big Data Machine Learning 192

Pickl AI

DECEMBER 2, 2024

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Smart Data Collective

MAY 16, 2022

Big data is changing the future of the healthcare industry. Healthcare providers are projected to spend over $58 billion on big data analytics by 2028. Healthcare organizations benefit from collecting greater amounts of data on their patients and service partners. Enables Seamless Data Standardization.

Big Data 126

Big Data Big Data Data Wrangling Big Data Analytics 126

Smart Data Collective

AUGUST 30, 2022

Centralized data storage. For example, e-mail messages and documents are stored in the cloud, giving users access to their data from any location. Information is encrypted and stored on firewalls or protected by redundancy and many other security methods to ensure data safety. Big data analytics.

Cloud Computing 140

Cloud Computing Big Data Analytics Big Data Analytics Data Mining 140

AWS Machine Learning Blog

JANUARY 30, 2025

Your task is to review a proposal document from the perspective of a given persona, and assess it based on dimensions defined in a rubric. Review the provided proposal document: {PROPOSAL} 2. Ben West is a hands-on builder with experience in machine learning, big data analytics, and full-stack software development.

AWS 94

AWS Database AI AI 94

Smart Data Collective

SEPTEMBER 13, 2021

Big data has been a gamechanger for countless companies in virtually every industry. Construction analytics is a new field that was worth just over $5 billion in 2018. Why is the construction analytics market growing at such a fast pace? Improve Documentation. The construction industry is no exception.

Analytics 124

Analytics Analytics Big Data Big Data 124

AWS Machine Learning Blog

FEBRUARY 21, 2025

The agent knowledge base stores Amazon Bedrock service documentation, while the cache knowledge base contains curated and verified question-answer pairs. For this example, you will ingest Amazon Bedrock documentation in the form of the User Guide PDF into the Amazon Bedrock knowledge base. This will be the primary dataset.

AWS 122

AWS Natural Language Processing Machine Learning Machine Learning 122

Smart Data Collective

MARCH 28, 2022

Prescriptive data analytics: It is used to predict outcomes and necessary subsequent actions by combining the features of big data and AI. Diagnostic data analytics: It analyses the data from the past to identify the cause of an event by using techniques like data mining, data discovery, and drill down.

Analytics 105

Analytics Analytics Big Data Big Data 105

AWS Machine Learning Blog

MARCH 3, 2023

With faster model training times, you can focus on understanding your data and analyzing the impact of the data, and achieve effective business outcomes. You can learn more on the SageMaker Canvas product page and the documentation. His knowledge ranges from application architecture to big data, analytics, and machine learning.

ML 99

ML ML Machine Learning Machine Learning 99

Flipboard

OCTOBER 25, 2023

Text, images, audio, and videos are common examples of unstructured data. Most companies produce and consume unstructured data such as documents, emails, web pages, engagement center phone calls, and social media. Amazon Textract – You can use this ML service to extract metadata from scanned documents and images.

AWS 164

AWS ML ML Analytics 164

ODSC - Open Data Science

FEBRUARY 8, 2024

In this session, you’ll cover some of the essential topics in LLM development, including prompt engineering and fine-tuning, document embeddings, Retrieval-Augmented Generation (RAG), and LangChain and Transformers libraries. By the end of the tutorial, you’ll have a basic familiarity with how to use the latest tools for LLM development.

Big Data Analytics 52

Big Data Analytics Big Data Analytics Deep Learning Deep Learning 52

Smart Data Collective

AUGUST 30, 2021

Continuing your investment in a knowledge management tool makes sense only when your employees use your KB regularly to resolve workplace issues and find business-related documents. So, to gather some qualitative data to improve your KB, ask your employees these questions: Was a particular document easy to find? If so, why?

Analytics 139

Analytics Analytics Big Data Analytics Big Data Analytics 139

AWS Machine Learning Blog

NOVEMBER 27, 2023

Most real-world data exists in unstructured formats like PDFs, which requires preprocessing before it can be used effectively. According to IDC , unstructured data accounts for over 80% of all business data today. This includes formats like emails, PDFs, scanned documents, images, audio, video, and more.

Data Preparation 102

Data Preparation AI AI Python 102

ODSC - Open Data Science

FEBRUARY 6, 2024

In this session, you’ll cover some of the essential topics in LLM development, including prompt engineering and fine-tuning, document embeddings, Retrieval-Augmented Generation (RAG), and LangChain and Transformers libraries. By the end of the tutorial, you’ll have a basic familiarity with how to use the latest tools for LLM development.

Big Data Analytics 52

Big Data Analytics Big Data Analytics Big Data Big Data 52

AWS Machine Learning Blog

NOVEMBER 29, 2023

For the dataset in this use case, you should expect a “Very low quick-model score” high priority warning, and very low model efficacy on minority classes (charged off and current), indicating the need to clean up and balance the data. Refer to Canvas documentation to learn more about the data insights report.

Data Preparation 125

Data Preparation ML ML Data Quality 125

Flipboard

MARCH 22, 2023

Register the Data Wrangler application within the IdP Refer to the following documentation for the IdPs that Data Wrangler supports: Azure AD Okta Ping Federate Use the documentation provided by your IdP to register your Data Wrangler application. Bosco Albuquerque is a Sr.

AWS 123

AWS Data Preparation Azure Data Scientist 123

IBM Journey to AI blog

FEBRUARY 6, 2024

Cloud-based applications and services Cloud-based applications and services support myriad business use cases—from backup and disaster recovery to big data analytics to software development. The hybrid multicloud These days, most enterprise businesses rely on a hybrid multicloud environment.

Cloud Computing 119

Cloud Computing Big Data Big Data Internet of Things 119

Pickl AI

JUNE 29, 2023

It initiates the collection, indexing, and analysis of machine-generated data in real-time. It helps harness the power of big data and turn it into actionable intelligence. Moreover, it allows users to ingest data from different sources. Additionally, Splunk can process and index massive volumes of data.

Big Data Analytics 52

Big Data Analytics Big Data Analytics Big Data Big Data 52

AWS Machine Learning Blog

APRIL 9, 2025

Consider this common scenario: traditionally, employees spend countless hours searching through siloed documents, knowledge bases, and various repositories to find answers to their questions. This time-consuming process not only impacts productivity but also leads to significant operational costs. Leo Mentis Raj Selvaraj is a Sr.

AWS 82

AWS Analytics Analytics AI 82

Pickl AI

JULY 10, 2023

As a programming language it provides objects, operators and functions allowing you to explore, model and visualise data. The programming language can handle Big Data and perform effective data analysis and statistical modelling.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Precisely

AUGUST 8, 2023

The Need for Data Governance The number of connected devices has expanded rapidly in recent years, as mobile phones, telematics devices, IoT sensors, and more have gained widespread adoption. At the same time, big data analytics has come of age. The term “data governance” is often used in concert with “data management.”

Data Governance 52

Data Governance Data Quality Big Data Analytics Big Data Analytics 52

Pickl AI

APRIL 30, 2023

File Storage Platform The online File Storage Platform using cloud computing allows end-users to host files, documents and videos on cloud. The application providers the users with simple interface and use, view and upload documents from the local computers to these sites.

Cloud Computing 52

Cloud Computing Big Data Big Data Big Data Analytics 52

Mlearning.ai

JANUARY 26, 2023

In other words, ARCO version of the data should be something that is highest quality, fully documented and optimised for web-services / advanced analysis. Typical steps include: Prepare your data in some Cloud-native format, analysis-ready and fully documented, a consistent file naming convention, spatial resolutions, bounding box etc.

AWS 98

AWS Database Data Science Clean Data 98

AWS Machine Learning Blog

MARCH 10, 2023

Data Wrangler enables you to access data from a wide variety of popular sources ( Amazon S3 , Amazon Athena , Amazon Redshift , Amazon EMR and Snowflake) and over 40 other third-party sources. Starting today, you can connect to Amazon EMR Hive as a big data query engine to bring in large datasets for ML.

Clustering 99

Clustering AWS ML ML 99

ODSC - Open Data Science

SEPTEMBER 19, 2024

Streamlining Government Regulatory Responses with Natural Language Processing, GenAI, and Text Analytics Through text analytics, linguistic rules are used to identify and refine how each unique statement aligns with a different aspect of the regulation. How can big data analytics help?

AI 40

AI AI Big Data Analytics Big Data Analytics 40

AWS Machine Learning Blog

MAY 10, 2023

You can learn more on the Canvas product page and documentation. His knowledge ranges from application architecture to big data, analytics, and machine learning. As business analysts, we created various visualizations to assess the trends in QuickSight. Varun Mehta is a Solutions Architect at AWS.

ML 99

ML ML AWS Data Analysis 99

Alation

OCTOBER 5, 2021

Perhaps even more alarming: fewer than 33% expect to exceed their returns on investment for data analytics within the next two years. Gartner further estimates that 60 to 85% of organizations fail in their big data analytics strategies annually (1).

Data Governance 96

Data Governance Data Quality Data Silos Analytics 96

ODSC - Open Data Science

JANUARY 31, 2024

This LLM framework lets you curate and organize your own data sources, like documents, databases, and APIs, making them readily accessible to your LLM. This means is that you can ask your LLM questions about your specific data, not just the generic internet firehose. Let’s explore some of the top contenders.

Data Science 52

Data Science Big Data Analytics Big Data Analytics Analytics 52

Pickl AI

SEPTEMBER 5, 2024

Advanced Analytics: Tools like Azure Machine Learning and Azure Databricks provide robust capabilities for building, training, and deploying Machine Learning models. Unified Data Services: Azure Synapse Analytics combines big data and data warehousing, offering a unified analytics experience.

Azure 52

Azure Data Scientist Data Science Machine Learning 52

ODSC - Open Data Science

FEBRUARY 15, 2024

Once validated, the deployment tools facilitate the integration of these models into real-world applications, be it in automating customer support interactions, analyzing financial documents, or interpreting medical texts. DOLMA The DOLMA dataset is a collection of documents and their corresponding logical forms.

Data Science 52

Data Science Natural Language Processing Big Data Analytics Big Data Analytics 52