Monte Carlo

FEBRUARY 21, 2023

Despite its prevalence, data can be messy, siloed, ungovernable, and inaccessible—especially to the non-technical employees who rely on it. Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

Despite its prevalence, data can be messy, siloed, ungovernable, and inaccessible—especially to the non-technical employees who rely on it. Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Knowledge Hut

JULY 7, 2023

However, the development of such tools presents significant technical and ethical challenges, such as the necessity of large amounts of high-quality data, the risk of bias present in AI algorithms, and the possibility of AI replacing human jobs.

Software Engineer 52

Software Engineer Software Engineering Engineering Data Mining 52

AltexSoft

OCTOBER 13, 2022

Generative AI refers to unsupervised and semi-supervised machine learning algorithms that enable computers to use existing content like text, audio and video files, images, and even code to create new possible content. Say, we have training data that contains multiple images of cats and guinea pigs. Source: Towards Data Science.

Algorithm 90

Algorithm Deep Learning Machine Learning Datasets 90

AltexSoft

AUGUST 25, 2021

But today’s programs, armed with machine learning and deep learning algorithms, go beyond picking the right line in reply, and help with many text and speech processing problems. For example, tokenization (splitting text data into words) and part-of-speech tagging (labeling nouns, verbs, etc.) Assessing text data quality.

Process 139

Process Deep Learning Datasets Machine Learning 139

Databand.ai

JULY 5, 2023

Incorporating these features into your data observability strategy will enable you to maintain high-quality data pipelines and make informed decisions about optimizing performance. Notable Data Observability Tools Here are a few notable data observability tools.

Data Pipeline 52

Data Pipeline Data Lake Data Warehouse Datasets 52

Knowledge Hut

JUNE 28, 2023

Data Mining vs Business Intelligence: Methods and Techniques Data Mining: Data Mining Process in Business Intelligence utilizes a range of methods and techniques, including machine learning algorithms, statistical analysis, clustering, classification, association rule mining, natural language processing, and more.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

AltexSoft

MAY 27, 2021

Machine learning is a field of knowledge that focuses on creating algorithms and training models on data so that they can process new data inputs and make decisions by themselves. Robotic Process Automation or RPA is designed to perform repetitive business tasks through the use of software bots (robots).

Technology 64

Technology Process Insurance Medical 64

AltexSoft

AUGUST 10, 2021

So, the main difference from traditional lead scoring is the model’s ability to determine more reliable attributes based on expansive data. ML algorithms process your historic sales data to discover patterns and determine which attributes and combinations of attributes indicate a customer’s propensity to convert.

Machine Learning 72

Machine Learning Data Mining Datasets Algorithm 72

Maxime Beauchemin

JANUARY 20, 2017

The integration workload is systematically downplayed by vendors to facilitate their sales, and leaves data engineers stuck doing unaccounted, under appreciated work to do. Let alone the fact that typical SaaS APIs are often poorly designed, unclearly documented and “agile”: meaning that you can expect them to change without notice.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

Snowflake

OCTOBER 26, 2023

Novel compounds designed with desired properties, accelerating drug discovery. Realistic synthetic data created at scale, expediting research in rare under-addressed disease areas. Generative AI uses neural networks and deep learning algorithms from LLMs to identify patterns in existing data to generate original content.

Healthcare 88

Healthcare Unstructured Data High Quality Data Medical 88

Data Engineering Weekly

MAY 19, 2024

Data value depends on the users and the use cases Data quality is multi-dimensional, and high-quality data costs more. An Empirical Evaluation of Columnar Storage Formats paper compares ORC and Parquet formats regarding efficiency, design choices, and what is lacking in that system.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

AltexSoft

FEBRUARY 21, 2023

This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction. Hotel price prediction is the process of using machine learning algorithms to forecast the rates of hotel rooms based on various factors such as date, location, room type, demand, and historical prices.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

ProjectPro

JANUARY 31, 2023

With the introduction of advanced machine learning algorithms , underwriters are bringing in more data for better risk management and providing premium pricing targeted to the customer. Customer Segmentation Customer segmentation improves customer satisfaction, product design, marketing, and budgeting.

Insurance 75

Insurance Machine Learning Project Algorithm 75

Databand.ai

JULY 10, 2023

Data visualization: Showcasing analyzed data in an easily understandable format through dashboards, charts, and graphs, to enable interpretation by teams in charge of maintaining system health, and other stakeholders in the organization. Observability Platform vs. Observability Tools: What Is the Difference?

Data Pipeline 52

Data Pipeline Algorithm Raw Data Aggregated Data 52

DareData

JULY 29, 2020

We have heard news of machine learning systems outperforming seasoned physicians on diagnosis accuracy, chatbots that present recommendations depending on your symptoms , or algorithms that can identify body parts from transversal image slices , just to name a few.

Healthcare 52

Healthcare Data Pipeline Medical Pipeline-centric 52

AltexSoft

AUGUST 22, 2022

In this post, we’ll attempt to explain the idea behind a data fabric, its architectural building blocks, the benefits it brings, and ways to approach its implementation. What is data fabric? to provide a unified view of all enterprise data. Data fabric architecture example. Data fabric architecture building blocks.

Architecture 52

Architecture Metadata Data Lake Machine Learning 52

Netflix Tech

APRIL 26, 2022

To achieve this, we rely on Machine Learning (ML) algorithms. ML algorithms can be only as good as the data that we provide to it. This post will focus on the large volume of high-quality data stored in Axion?—?our To understand Axion’s design, we need to know the various components that interact with it.

Metadata 75

Metadata Datasets Machine Learning Designing 75

Ascend.io

JUNE 8, 2023

These operations also ensure that the data is aligned with required formats and quality standards, so it is ready for downstream systems or to be consumed by machine learning algorithms. Data transformation isn’t limited to just quality enhancement. But how do you unlock these capabilities?

Pipeline-centric 52

Pipeline-centric Database-centric Data Ingestion Data Pipeline 52

Monte Carlo

JANUARY 6, 2023

Typically in these organizations, cross-functional product teams (product managers, designers, engineers, etc) collectively own the end-to-end consumer experience and individually own aspects of that experience, such as features or products.

Building 52

Building Project BI Data 52

Knowledge Hut

NOVEMBER 20, 2023

Step 2: Design of the Proposed Solution and Selecting the Service Provider Finding a single vendor that can satisfy all of these requirements is becoming increasingly unlikely due to the complexity of supply chains, which includes demand forecasting, planning optimization, and measuring digital execution.

Transportation 52

Transportation Manufacturing Utilities Machine Learning 52

Edureka

FEBRUARY 27, 2023

However, data warehouses can be difficult and expensive to maintain, and they can become stale if not regularly updated with new data. Data Mining: Data mining extracts valuable information from large data sets. Secondly, BI requires access to high-quality data sources.

Business Intelligence 52

Business Intelligence BI Data Mining Data Warehouse 52

Scribd Technology

JULY 27, 2021

In this series, we have already shared how we identify document types and extract information from documents , this post will discuss how insights from data were used to help build the taxonomy and our approach to assign categories to the user-uploaded documents. We reduced the dimension of the embeddings using the t-SNE algorithm.

High Quality Data 52

High Quality Data Metadata Datasets Algorithm 52

Monte Carlo

MARCH 28, 2024

A data product typically hides the complexity of the data pipelines from the data consumers downstream, so they’re not exposed to or overwhelmed by the data movement, virtualization, caching, lakehouse, fabric, or other components involved in data asset creation. Image by Sanjeev Mohan.

Data 52

Data High Quality Data Machine Learning Accessible 52

Monte Carlo

MAY 17, 2023

Differentiate Data Products 25. Keep Critical Machine Learning Algorithms Online 27. One successful CMS company uses these custom monitors to keep track of a process that loads data to BigQuery that is gathered by a cron on the server farm. Another data team noticed they had multiple queries timing out in Snowflake.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Differentiate Data Products 25. Keep Critical Machine Learning Algorithms Online 27. One successful CMS company uses these custom monitors to keep track of a process that loads data to BigQuery that is gathered by a cron on the server farm. Another data team noticed they had multiple queries timing out in Snowflake.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52