IBM Big Data Hub

MARCH 29, 2024

Enterprise applications serve as repositories for extensive data models, encompassing historical and operational data in diverse databases. Generative AI foundational models train on massive amounts of unstructured and structured data, but the orchestration is critical to success.

Management 89

Management Structured Data Modeling Data Governance 89

Analytics Vidhya

JUNE 20, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon This Blog deals with the problem of flight price prediction. The post Flight Price Prediction -A Regression Analysis using Lazy Prediction appeared first on Analytics Vidhya.

Data Science 287

Data Science Publishing Analytics Structured Data 287

Analytics Vidhya

JUNE 29, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Hope you all are doing Good !!! Welcome to my blog! The post Automated Spam E-mail Detection Model(Using common NLP tasks) appeared first on Analytics Vidhya.

Modeling 270

Modeling Data Science Publishing Analytics 270

Analytics Vidhya

SEPTEMBER 4, 2021

This article was published as a part of the Data Science Blogathon Image 1In this blog, We are going to talk about some of the advanced and most used charts in Plotly while doing analysis. Table of content Description of Dataset Data Exploration Data Cleaning Data visualization […].

Visualization 271

Visualization Data Science Publishing Analytics 271

Cloudera

NOVEMBER 15, 2021

The word “data” is ubiquitous in narratives of the modern world. And data, the thing itself, is vital to the functioning of that world. This blog discusses quantifications, types, and implications of data. Quantifications of data. Addressing the challenges of data.

Unstructured Data 86

Unstructured Data Recreation/Entertainment Structured Data Reporting 86

Analytics Vidhya

MARCH 19, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Background This Blog is about how I solved a real-life. The post End to End Application of Data Science in Personal Finance: Mutual Funds Ranking appeared first on Analytics Vidhya.

Finance 209

Finance Data Science Publishing Analytics 209

CIO Business Intelligence

DECEMBER 13, 2023

Applications such as financial forecasting and customer relationship management brought tremendous benefits to early adopters, even though capabilities were constrained by the structured nature of the data they processed. have encouraged the creation of unstructured data.

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

Smart Data Collective

SEPTEMBER 23, 2020

We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Both data warehouses and data lakes are used when storing big data. Many people are confused about these two, but the only similarity between them is the high-level principle of data storing.

Data Lake 106

Data Lake Data Warehouse Unstructured Data Big Data 106

BizAcuity

OCTOBER 21, 2019

Social Media, Blogging & Reviews are the new age connectors among the Millennials, where they post their experiences. Text analytics helps to draw the insights from the unstructured data. . – into structured data to develop actionable managerial insights to enhance their operations. . .

Analytics 73

Analytics Unstructured Data Data mining Structured Data 73

Analytics Vidhya

MAY 31, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Hello Readers!! In this blog, we are going to discuss. Analyze World Happiness Data Using Python appeared first on Analytics Vidhya. The post Are Indians Happy?

Data Science 161

Data Science Publishing Analytics Structured Data 161

IBM Big Data Hub

APRIL 18, 2023

ISO 20022 data improves payment efficiency The impact of ISO 20022 on payment systems data is significant, as it allows for more detailed information in payment messages. appeared first on IBM Blog. Talk to the IBM Payments Center team The post ISO 20022: Are your payment systems ready?

Risk Management 116

Risk Management Cost-Benefit Risk Data-driven 116

IBM Big Data Hub

APRIL 26, 2023

Switching to IBM Business Analytics gave Jabil the ability to gather and structure data in a centralized approach for management. Also check out the Business Analytics Enterprise webpage to learn how your organization can improve business planning and outcomes with data-driven decision making.

Business Analytics 82

Business Analytics Reporting Analytics Finance 82

Cloudera

JUNE 3, 2022

Data scientists are likely to use a variety of different tools to move through their processes. It could be a homespun version of PostgreSQL on their local machine for exploring structured data sets; to visualize, they could be writing code or using a BI tool like Tableau or PowerBI.

Dashboards 88

Dashboards Visualization Machine Learning Data Science 88

Sisense

APRIL 26, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. Structured vs unstructured data.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Smarten

AUGUST 23, 2023

If you are looking for ways to get started on your AI journey and take advantage of the current capabilities of this technology, here are a few ideas to get you started with AI: Unstructured Data : – Use artificial intelligence and GPT to summarize PDFs, HTML and other unstructured documents and data.

Unstructured Data 52

Unstructured Data Digital Transformation Structured Data Consulting 52

Ontotext

JULY 24, 2023

Start with Structured Data The ideal way to experiment with LLM functionality is to focus on structured data at the start. Cleaning, refining, and aligning your data to shared meaning is the right strategic approach.

Modeling 98

Modeling Management Structured Data Data Architecture 98

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 188

Data-driven Enterprise Analytics Machine Learning 188

Alation

JULY 13, 2021

Accompanying this acceleration is the increasing complexity of data. Many organizations continue to handle structured data, transactional data, and log data. Complex data management is on the rise. Subscribe to Alation's Blog. Get the latest data cataloging news and trends in your inbox.

Strategy 52

Strategy Data mining Structured Data Data Governance 52

CIO Business Intelligence

APRIL 25, 2022

Now generally available, the M&E data lakehouse comes with industry use-case specific features that the company calls accelerators, including real-time personalization, said Steve Sobel, the company’s global head of communications, in a blog post. Features focus on media and entertainment firms.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

IBM Big Data Hub

APRIL 9, 2024

Preparing and annotating data IBM watsonx.data helps organizations put their data to work, curating and preparing data for use in AI models and applications. “Being able to organize the data around that structure helps us to efficiently query, retrieve and use the information downstream, for example for AI narration.”

Management 85

Management IT Machine Learning Metrics 85

DataKitchen

FEBRUARY 27, 2024

By adopting a DataOps approach, organizations can enhance their Data Journey management, ensuring that data is not only of high quality but also that its flow is efficient, transparent, and aligned with the needs of LLMs and other AI models.

Data Quality 117

Data Quality Unstructured Data Testing Modeling 117

AWS Big Data

NOVEMBER 22, 2023

Data lakes are designed for storing vast amounts of raw, unstructured, or semi-structured data at a low cost, and organizations share those datasets across multiple departments and teams. The queries on these large datasets read vast amounts of data and can perform complex join operations on multiple datasets.

Statistics 104

Statistics Data Lake Optimization Data-driven 104

erwin

SEPTEMBER 10, 2020

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Not everyone understands what end-to-end data lineage is or why it is important.

Data Governance 131

Data Governance Key Performance Indicator Digital Transformation Metadata 131

BizAcuity

OCTOBER 21, 2019

Social Media, Blogging & Reviews are the new age connectors among the Millennials, where they post their experiences. Text analytics helps to draw the insights from the unstructured data. into structured data to develop actionable managerial insights to enhance their operations.

Analytics 40

Analytics Unstructured Data Data mining Structured Data 40

IBM Big Data Hub

JULY 26, 2023

This use case shows how AI can help by processing unstructured image and video data in addition to structured data in the previous examples. Compute optimization: Data centers consume a huge amount of electricity.By As well as wasted materials, additional energy is consumed when parts have to be reworked or remade.

Optimization 78

Optimization Manufacturing Cost-Benefit Reporting 78

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 91

Unstructured Data Data-driven ROI Machine Learning 91

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

Cloudera

SEPTEMBER 17, 2020

They were not able to quickly and easily query and analyze huge amounts of data as required. They also needed to combine text or other unstructured data with structured data and visualize the results in the same dashboards. Events or time-series data served by our real-time events or time-series data store solutions.

Experimentation 80

Experimentation Data Warehouse Dashboards Visualization 80

CIO Business Intelligence

OCTOBER 25, 2023

Zscaler The risks of leveraging AI and ML tools As we discussed in a recent blog , the risks of using generative AI tools in the enterprises are significant. The release of intellectual property and non-public information Generative AI tools can make it easy for well-meaning users to leak sensitive and confidential data.

Enterprise 133

Enterprise Risk Manufacturing Finance 133

Laminar Security

AUGUST 21, 2023

As we hit 2023, Gartner’s Hype Cycle for Data Security sheds light on the latest advancements and technologies that can bolster data security including data security posture management (DSPM).

Management 40

Management Risk Unstructured Data Data Strategy 40

Cloudera

DECEMBER 11, 2020

As mentioned in my previous blog on the topic , the recent shift to remote working has seen an increase in conversations around how data is managed. It established a data governance framework within its enterprise data lake. The post 2020 Data Impact Award Winner Spotlight: Merck KGaA appeared first on Cloudera Blog.

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

Cloudera

JUNE 25, 2021

Using easy-to-define policies, Replication Manager solves one of the biggest barriers for the customers in their cloud adoption journey by allowing them to move both tables/structured data and files/unstructured data to the CDP cloud of their choice easily. Sentry permissions exported from CDH to Ranger policies on Data Lake. .

Data Lake 69

Data Lake Metadata Unstructured Data Management 69

Ontotext

MAY 25, 2023

For example, knowledge graphs can be used to provide structured data to train LLM, and LLM can be used to extract information from unstructured data sources such as text and images, which can then be incorporated into knowledge graphs. Knowledge graphs will continue to be essential for AI in the era of ChatGPT and LLM.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 83

Data Science Data Analytics Prescriptive Analytics Analytics 83

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

Cloudera

OCTOBER 28, 2021

In the last few years, Commercial Insurers have been making great strides in expanding the use of their data. The approach is very evolutionary; the initial focus tends to be aimed at cost savings and starts with structured data. Then there is a recognition that there is so much more that can be done with the data.

Insurance 94

Insurance Risk Unstructured Data Data-driven 94

IBM Big Data Hub

JULY 5, 2022

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 . Store and query more than just traditional structured data with multi-model capabilities.

Data Lake 94

Data Lake Data Warehouse Publishing Structured Data 94