O'Reilly Media - Ideas

FEBRUARY 11, 2019

When asked what holds back the adoption of machine learning and AI, survey respondents for our upcoming report, “Evolving Data Infrastructure,” cited “company culture” and “difficulties in identifying appropriate business use cases” among the leading reasons. Data Platforms. Data Integration and Data Pipelines.

Big Data 87

Big Data Technology Tools Cloud 87

d2iq

FEBRUARY 19, 2021

Components that are unique to data engineering and machine learning (red) surround the model, with more common elements (gray) in support of the entire infrastructure on the periphery. Before you can build a model, you need to ingest and verify data, after which you can extract features that power the model.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

Altexsoft

JUNE 11, 2021

An Italian management consulting company HSPI publishes a database of process mining projects and case studies annually. In the 2020 application database , there are 551 case studies from 27 countries around the world, proving the spread of process mining adoption and growth of interest in these techniques.

Applications 69

Applications Weak Development Team Systems Review Software Review 69

Cloudera

APRIL 21, 2022

Its evolution to the present-day cloud-based package is a real-world case study that will likely live in IT textbooks for as long as use cases will be referenced. . MHS Genesis has to tackle an almost impossible job in moving and processing petabytes of data, securely and accurately. The DoD’s budget of $703.7

Security 84

Security Data Insurance System 84

Altexsoft

MARCH 31, 2020

These can be data science teams , data analysts, BI engineers, chief product officers , marketers, or any other specialists that rely on data in their work. The simplest illustration for a data pipeline. Data pipeline components. a data lake) doesn’t meet your needs or if you find a cheaper option.

Data 76

Data Storage Analytics Data Center 76