Smart Data Collective

AUGUST 28, 2021

Data Warehouses and Data Lakes in a Nutshell. A data warehouse is used as a central storage space for large amounts of structured data coming from various sources. On the other hand, data lakes are flexible storages used to store unstructured, semi-structured, or structured raw data.

Data Lake 139

Data Lake Data Warehouse Unstructured Data Structured Data 139

Smarten

AUGUST 23, 2023

There are some ways you can leverage AI now to improve your use of technology and the user experience for your team and/or consumers of your products and services. This approach allows you to provide summarization of data and information for queries and searches. Consider how you might use this technology in your market or industry.

Unstructured Data 52

Unstructured Data Digital Transformation Structured Data Consulting 52

CIO Business Intelligence

MARCH 29, 2024

That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. To succeed in the mortgage industry, efficiency and accuracy are paramount. The rest are on premises.

Data Lake 134

Data Lake Machine Learning Data Warehouse Unstructured Data 134

CIO Business Intelligence

FEBRUARY 20, 2024

Manufacturers have long held a data-driven vision for the future of their industry. It’s one where near real-time data flows seamlessly between IT and operational technology (OT) systems. Denso uses AI to verify the structuring of unstructured data from across its organisation.

Data Architecture 98

Data Architecture Unstructured Data Manufacturing IT 98

CIO Business Intelligence

JULY 28, 2023

City skyscrapers and office parks may remain scarcely occupied in the post-pandemic work era, but commercial real estate player JLL’s business is not slowing down, thanks to the company’s embrace of technology and high-growth opportunities to adapt and prosper. You don’t have to clean it up.

Structured Data 98

Structured Data Software Data-driven Modeling 98

Smart Data Collective

SEPTEMBER 16, 2022

Client requests naturally grow with the development of technology. They are using big data technology to offer even bigger benefits to their fintech customers. The use of artificial intelligence technologies allows for improving the quality of service and minimizing costs. Among them are distinguished: Structured data.

Finance 115

Finance Unstructured Data Cost-Benefit Big Data 115

DataKitchen

FEBRUARY 27, 2024

Just as pilots rely on auto-pilot technologies because they understand how they work and trust the data fed into them, data engineers and business leaders must foster a similar level of trust in LLMs. This trust hinges on the quality of the input data and the transparency of the Data Journey.

Data Quality 120

Data Quality Unstructured Data Testing Modeling 120

CIO Business Intelligence

MARCH 21, 2022

Data scientist is also proving to be a satisfying long-term career path, with Glassdoor’s 50 Best Jobs in America rank data scientist the third-best job in the US. The data that data scientists analyze draws from many sources, including structured, unstructured, or semi-structured data.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Structured Data 137

CIO Business Intelligence

APRIL 25, 2024

At Salesforce World Tour NYC today, Salesforce unveiled a new global ecosystem of technology and solution providers geared to help its customers leverage third-party data via secure, bidirectional zero-copy integrations with Salesforce Data Cloud. Ground generative AI.

Data Integration 119

Data Integration Data Lake Metadata Data Warehouse 119

Ontotext

JULY 24, 2023

I did some research because I wanted to create a basic framework on the intersection between large language models (LLM) and data management. The technology is very new and not well understood. taxonomies, ontologies , internal data structures). I will start by saying that I believe LLM holds great promise.

Modeling 98

Modeling Management Structured Data Data Architecture 98

CIO Business Intelligence

APRIL 26, 2024

Following its acquisition of Neustar, a Google Cloud Platform customer, TransUnion embraced a multicloud infrastructure that also supports GCP, but the crown jewel of its technology modernization is OneTru, and its 50 petabytes of data assets amassed over decades.

Modeling 114

Modeling IT Machine Learning Data Governance 114

Ontotext

JULY 26, 2019

Frequently dubbed too difficult to build or too complicated to understand, semantic technology is increasingly gaining popularity. Whether you refer to the use of semantic technology as Linked Data technology or smart data management technology, these concepts boil down to connectivity.

Technology 40

Technology Data Integration Enterprise Structured Data 40

CIO Business Intelligence

NOVEMBER 20, 2023

As a technology professional, seeing how artificial intelligence (AI) and generative AI/large language models can improve and save lives makes me think about the significant difference this can have on families and communities worldwide–including mine. Fox says it perfectly: “Family is not an important thing. It’s everything.”

Cost-Benefit 132

Cost-Benefit Unstructured Data Modeling Structured Data 132

CIO Business Intelligence

OCTOBER 30, 2023

CIOs are responsible for much more than IT infrastructure; they must drive the adoption of innovative technology and partner closely with their data scientists and engineers to make AI a reality–all while keeping costs down and being cyber-resilient. An estimated 90% of the global datasphere is comprised of unstructured data 1.

Unstructured Data 143

Unstructured Data Optimization Data-driven Strategy 143

Smarten

MAY 17, 2023

If you are a business owner, technology user or a fan of the news media, it would be difficult to avoid the topic of GPT and artificial intelligence (AI) in today’s news cycle. x, ChatGPT, Google’s Bard chatbot technology, and the AI service, Language Model for Dialogue Applications (LaMDA), among others.

Digital Transformation 52

Digital Transformation Experimentation Risk Testing 52

CIO Business Intelligence

APRIL 4, 2024

Everyone is running around trying to apply this technology that’s moving so fast, but without business outcomes, there’s no point to it,” says Redmond, CIO at power management systems manufacturer Eaton Corp. “We The question is whether people will be willing to trust the technology enough to give up doing the work themselves.

Enterprise 134

Enterprise Cost-Benefit Forecasting Strategy 134

Ontotext

MAY 25, 2023

The event attracts individuals interested in graph technology, machine learning and natural language processes in numerous verticals, including publishing, government, financial services, manufacturing and retail. This message resonates with the market positioning of Ontotext as a trusted, stable option for demanding data-centric use cases.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

Analytics Vidhya

MAY 23, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Machine Learning is a field of technology developing with immense. The post Car Price Prediction System : Build and Deploy a Machine Learning Model appeared first on Analytics Vidhya.

Machine Learning 378

Machine Learning Modeling Data Science Publishing 378

CIO Business Intelligence

AUGUST 30, 2022

But although their role has evolved, the technology which helps them is still playing catch-up, with the lack of reliable analytics and data one of the biggest hurdles to progress. A changing role and the need for data. This level of data collection and insight requires the right technology.

Data-driven 98

Data-driven Finance Digital Transformation Operational Reporting 98

Analytics Vidhya

FEBRUARY 20, 2023

Introduction Natural language processing, deep learning, speech recognition, and pattern identification are just a few artificial intelligence technologies that have consistently advanced in recent years. This has helped chatbots grow significantly.

Machine Learning 284

Machine Learning Modeling Deep Learning Technology 284

Analytics Vidhya

MAY 20, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Machine Learning is one of the fastest-growing technology in the. The post Machine Learning Automation using EvalML Library appeared first on Analytics Vidhya.

Machine Learning 400

Machine Learning Data Science Publishing Technology 400

Analytics Vidhya

MAY 6, 2021

Machine Learning is a popular topic in Information Technology in the present day. ArticleVideo Book What is Machine Learning? Machine Learning allows our computer. The post Machine Learning Model Evaluation appeared first on Analytics Vidhya.

Machine Learning 397

Machine Learning Modeling Technology Analytics 397

Data Virtualization

AUGUST 24, 2023

Reading Time: 5 minutes The data landscape has become more complex, as organizations recognize the need to leverage data and analytics for a competitive edge. Companies are collecting traditional structured data as well as text, machine-generated data, semistructured data, geospatial data, and more.

Structured Data 52

Structured Data Data Integration Management Analytics 52

Data Virtualization

AUGUST 24, 2023

Reading Time: 5 minutes The data landscape has become more complex, as organizations recognize the need to leverage data and analytics for a competitive edge. Companies are collecting traditional structured data as well as text, machine-generated data, semistructured data, geospatial data, and more.

Structured Data 52

Structured Data Data Integration Management Analytics 52

Analytics Vidhya

MAY 10, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Machine Learning is the trending digital technology in today’s world, The post Bar Chart Race of World Population by 2020 in Python appeared first on Analytics Vidhya.

Machine Learning 382

Machine Learning Data Science Publishing Technology 382

IBM Big Data Hub

APRIL 26, 2023

They are also interested and involved in the holistic application of emerging technologies like additive manufacturing, autonomous technologies, and artificial intelligence. They are a technologically motivated enterprise, so it’s no surprise that they would apply this forward-thinking view to their finance reporting as well.

Business Analytics 84

Business Analytics Reporting Analytics Finance 84

IBM Big Data Hub

APRIL 9, 2024

At the Masters®, storied tradition meets state-of-the-art technology. Through a partnership spanning more than 25 years, IBM has helped the Augusta National Golf Club capture, analyze, distribute and use data to bring fans closer to the action, culminating in the AI-powered Masters digital experience and mobile app.

Management 87

Management IT Machine Learning Metrics 87

Ontotext

OCTOBER 12, 2023

I learned that fact from a comment in the audience on the second day of SEMANTICS 2023 – the European conference series focused on semantic technologies ever since 2005. Source: SWC Aidan concluded by saying that LLMs can make knowledge graphs more usable and widespread as a technology. I didn’t either.

Modeling 75

Modeling Recreation/Entertainment Data Processing Metadata 75

Analytics Vidhya

MAY 25, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Index Introduction Understanding Bitcoin Technologies used Getting real-time cryptocurrency data (bitcoin). The post Bitcoin Price Prediction Using Recurrent Neural Networks and LSTM appeared first on Analytics Vidhya.

Data Science 348

Data Science Publishing Technology Analytics 348

Ontotext

JULY 20, 2023

What makes us attractive to our customers is that we centralize corporate knowledge in our Conversational AI platform, where everyone can access corporate data and information easily via natural language. With our technology we can cover most use cases in one go, our platform is data agnostic and can do text and speech in different languages.

Manufacturing 52

Manufacturing Unstructured Data Structured Data Modeling 52

Sisense

APRIL 26, 2020

Structured vs unstructured data. Structured data is far easier for programs to understand, while unstructured data poses a greater challenge. However, both types of data play an important role in data analysis. Structured data. Structured data is organized in tabular format (ie.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Analytics Vidhya

AUGUST 27, 2021

This article was published as a part of the Data Science Blogathon Introduction Dash is an open-source web framework for creating analytical dashboards and data visualizations. It helps data analysts to deploy dashboards and serve these dashboards to the main web application. Dash constitutes of three technologies: 1.

Dashboards 337

Dashboards Visualization Data Science Publishing 337

O'Reilly on Data

APRIL 19, 2021

Not surprisingly, computers, electronics, and technology topped the charts, with 17% of the respondents. And while it had by far the greatest number of respondents, computers, electronics, and technology was in fourth place, with 35% of respondents reporting mature practices. AI technologies used in mature practices. form data).

Enterprise 356

Enterprise Modeling Risk Manufacturing 356

CIO Business Intelligence

OCTOBER 25, 2023

Here, the technology and finance industries are leading the charge, accounting for more than half of blocked transactions. Preventing data loss will be a key factor in embracing generative AI. Overall, 10% of AI/ML-related transactions are blocked across the Zscaler cloud using URL filtering policies.

Enterprise 133

Enterprise Risk Manufacturing Finance 133

Cloudera

NOVEMBER 15, 2021

The International Data Corporation (IDC) estimates that by 2025 the sum of all data in the world will be in the order of 175 Zettabytes (one Zettabyte is 10^21 bytes). Most of that data will be unstructured, and only about 10% will be stored. Less will be analysed.

Unstructured Data 86

Unstructured Data Recreation/Entertainment Structured Data Reporting 86

CIO Business Intelligence

NOVEMBER 14, 2022

The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more. Decision support systems are generally recognized as one element of business intelligence systems, along with data warehousing and data mining.

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. What are the key technological and research innovations envisioned in AIDAVA?

Unstructured Data 64

Unstructured Data Structured Data Publishing Machine Learning 64