DataKitchen

FEBRUARY 27, 2024

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure.

Data Quality 120

Data Quality Unstructured Data Testing Modeling 120

Analytics Vidhya

AUGUST 25, 2021

This article was published as a part of the Data Science Blogathon Introduction Let’s look at a practical example of how to make SQL queries to a MySQL server from Python code: CREATE, SELECT, UPDATE, JOIN, etc. Most applications interact with data in some form. Therefore, programming languages ??(Python

Interactive 284

Interactive Data Science Publishing Analytics 284

Rocket-Powered Data Science

JULY 7, 2019

Chatbots cannot hold long, continuing human interaction. Traditionally they are text-based but audio and pictures can also be used for interaction. They provide more like an FAQ (Frequently Asked Questions) type of an interaction. NLG is a software process that transforms structured data into human-language content.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. They emphasize access to and manipulation of large databases of structured data, often a time-series of internal company data and sometimes external data.

Data mining 144

Data mining Data-driven Statistics OLAP 144

Ontotext

OCTOBER 19, 2023

In order to create an interoperable health data record, we should be able to integrate personal health data (which comes in various formats and structures and varying quality) into a shareable format with other systems and individuals. We are planning to develop or use AI-based tools for each of these problems.

Unstructured Data 64

Unstructured Data Structured Data Publishing Machine Learning 64

IBM Big Data Hub

NOVEMBER 29, 2023

Furthermore, AI algorithms’ capacity for recognizing patterns—by learning from your company’s unique historical data—can empower businesses to predict new trends and spot anomalies sooner and with low latency.

Unstructured Data 92

Unstructured Data Data-driven ROI Machine Learning 92

Smart Data Collective

SEPTEMBER 16, 2022

With decentralized finance, users will maintain control over their assets by interacting with the ecosystem through peer-to-peer, decentralized applications (dapps). Fintech in particular is being heavily affected by big data. The financial sector receives, processes, and generates huge amounts of data every second.

Finance 118

Finance Unstructured Data Cost-Benefit Big Data 118

Smart Data Collective

JANUARY 25, 2023

Instead of drawing in the sheer speed of production that we’re encountering, many businesses have moved into effective data management strategies. Of all of those tactics, storing structured data in databases is by far one of the most effective.

Strategy 90

Strategy Interactive Data Collection Management 90

Rocket-Powered Data Science

JULY 19, 2023

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage.

Data-driven 186

Data-driven Enterprise Analytics Machine Learning 186

Cloudera

SEPTEMBER 17, 2020

By enabling their event analysts to monitor and analyze events in real time, as well as directly in their data visualization tool, and also rate and give feedback to the system interactively, they increased their data to insight productivity by a factor of 10. .

Experimentation 80

Experimentation Data Warehouse Dashboards Visualization 80

Ontotext

JULY 20, 2023

Whether it’s a chatbot, a voicebot, or an enterprise search, our knowledge-based Conversational AI platform enables personalized interactions to increase customer satisfaction and improve the efficiency of businesses. When we need this data for a conversation we can use it directly with the Large Language Model.

Manufacturing 52

Manufacturing Unstructured Data Structured Data Modeling 52

Cloudera

NOVEMBER 15, 2021

In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else. The post The Rise of Unstructured Data appeared first on Cloudera Blog.

Unstructured Data 85

Unstructured Data Recreation/Entertainment Structured Data Reporting 85

AWS Big Data

MARCH 7, 2023

It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers. Popular consumption entities in many organizations are queries, reports, and data science workloads.

Analytics 70

Analytics Data Warehouse Data Lake Metadata 70

Cloudera

DECEMBER 11, 2020

It established a data governance framework within its enterprise data lake. Powered and supported by Cloudera, this framework brings together disparate data sources, combining internal data with public data, and structured data with unstructured data.

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

IBM Big Data Hub

JULY 5, 2022

Via analyzes customer interactions to improve AI assistance . Take control of your data governance, security and compliance with Db2’s comprehensive, built-in auditing, access control, and data visibility capabilities. Vektis improves healthcare quality through data . Anywhere deployment .

Data Lake 96

Data Lake Data Warehouse Publishing Structured Data 96

FineReport

MARCH 7, 2024

As we explore examples of data analysis reports and interactive report data analysis dashboards, we embark on a journey to unravel the nuanced art of transforming raw data into meaningful narratives that empower decision-makers. Try FineReport Now 1.1 This will be elaborated on in the third part of this article.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

CDW Research Hub

APRIL 20, 2020

Snowflake, a data warehouse built specifically for the cloud, is one popular option. Snowflake helps eliminate many of the common issues data professionals face because it supports structured and semi-structured data, scales massive concurrency without limit, and boasts secure, live data sharing.

Data Warehouse 52

Data Warehouse Consulting Data-driven Structured Data 52

datapine

MAY 9, 2019

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. Data presentation has also come a long way since the Excel days.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

datapine

AUGUST 20, 2019

Operations data: Data generated from a set of operations such as orders, online transactions, competitor analytics, sales data, point of sales data, pricing data, etc. The gigantic evolution of structured, unstructured, and semi-structured data is referred to as Big data.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

Ontotext

JUNE 22, 2023

What if we first find out how a disease occurs, what pathological processes are involved on the cellular and molecular levels, which genes and proteins play a role and how they interact? Then we would be able to build strong hypotheses and run validation experiments faster, cheaper and more evidence-based.

Metrics 52

Metrics Statistics Visualization Metadata 52

AWS Big Data

NOVEMBER 9, 2023

Data sources As part of this data platform, we are ingesting data from diverse and varied data sources, including: Transactional databases – These are active databases that store real-time data from various applications.

Data Warehouse 102

Data Warehouse Testing Data Quality Reporting 102

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 106

IT Data Architecture Unstructured Data Big Data 106

CIO Business Intelligence

JUNE 23, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 97

IT Data Architecture Unstructured Data Big Data 97

Smarten

MAY 17, 2017

Your users can go beyond data monitoring to ‘discover’ subtle and important factors that will identify issues and patterns, and help the organization capitalize on opportunities. Traditional data visualization is static and while it may offer a choice of graphs and displays, it is not interactive beyond a point.

Visualization 40

Visualization Business Intelligence Unstructured Data Interactive 40

AWS Big Data

MARCH 25, 2024

AWS Glue can interact with streaming data services such as Kinesis Data Streams and Amazon MSK for processing and transforming CDC data. With Amazon Managed Service for Apache Flink Studio , you can build and run Apache Flink stream processing applications using standard SQL, Python, and Scala in an interactive notebook.

Data Lake 88

Data Lake Unstructured Data Management Modeling 88

Ontotext

JULY 26, 2019

For example, within a knowledge graph built with Linked Data, one can connect geographic, government, life sciences, commerce and many other types of data and easily explore, search, visualize and navigate the information they carry. Take, for instance, the domain of business intelligence and the problem of discoverability.

Technology 75

Technology Enterprise Data Integration Management 75

Smart Data Collective

SEPTEMBER 26, 2019

Unstructured data lacks a specific format or structure. As a result, processing and analyzing unstructured data is super-difficult and time-consuming. Semi-structured. Semi-structured data contains a mixture of both structured and unstructured data. Role of Software Development in Big Data.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

AWS Big Data

MARCH 13, 2024

Query the data using Athena Athena is a serverless, interactive analytics service built to analyze unstructured, semi-structured, and structured data where it is hosted. However, if new devices are added, or a different field is used for partitioning, the crawlers need to run again.

Analytics 92

Analytics IoT Metadata Internet of Things 92

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. There are four groups of data that are naturally siloed: Structured data (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Ontotext

SEPTEMBER 7, 2023

Or if you’re bringing a new drug to market or repurposing an existing drug, what are all the patterns of interaction? Anybody who is using more than one set of data sources to do anything to serve their end customer could benefit from using knowledge graphs. That kind of pattern analysis you cannot do in a relational database.

Technology 59

Technology Visualization Digital Transformation Management 59

DataRobot

APRIL 19, 2021

But for more complex business decisions, including those that use less structured data, we have artificial intelligence systems. Data scientists train the algorithms using datasets that contain curated learning examples. For well-defined business processes, we have conventional computer systems. Humans and AI Best Practices.

Machine Learning 52

Machine Learning Visualization Data-driven Data Science 52

IBM Big Data Hub

JULY 19, 2023

Other use cases where generative AI models can help life sciences organizations unleash competitive advantage are: Summarization : call center interactions, documents such as financial reports, analyst articles, emails, news, media trends and more. Conversational Knowledge: Reviews, knowledge base, product descriptions and more.

Consulting 65

Consulting Machine Learning Manufacturing Optimization 65

AWS Big Data

APRIL 20, 2023

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML).

Data Lake 75

Data Lake Data Warehouse Sales Data-driven 75

Ontotext

JULY 26, 2019

For example, within a knowledge graph built with Linked Data, one can connect geographic, government, life sciences, commerce and many other types of data and easily explore, search, visualize and navigate the information they carry. Take, for instance, the domain of business intelligence and the problem of discoverability.

Technology 40

Technology Data Integration Enterprise Structured Data 40

CDW Research Hub

JULY 31, 2019

Natural Language Understanding (NLU) is a subset of NLP that turns natural language into structured data. Optionally, enable “Interactive Components” and pass the same request URL that you used in the previous step. At this point we have fully configured our bot assistant to interact with Slack. What’s next?

Deep Learning 49

Deep Learning Machine Learning Testing Modeling 49

CIO Business Intelligence

MAY 10, 2022

Customer data platform defined. A customer data platform (CDP) is a prepackaged, unified customer database that pulls data from multiple sources to create customer profiles of structured data available to other marketing systems. Salesforce Interaction Studio. DMPs, however, use anonymized data.

Advertising 122

Advertising Interactive Marketing Data Integration 122

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52