Cloudera

JANUARY 20, 2021

Data Enrichment – data pipeline processing, aggregation & management to ready the data for further refinement. Reporting – delivering business enterprise insight (sales analysis and forecasting, market research, budgeting as examples).

Data 105

Data Artificial Inteligence Analytics Machine Learning 105

Altexsoft

JULY 23, 2020

Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. The same survey shows that putting a model from a research environment to production — where it eventually starts adding business value — takes between 8 to 90 days on average. Data validation. Data preparation.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Altexsoft

AUGUST 29, 2023

Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Machine Learning 52

Coforge

AUGUST 31, 2020

According to a recent research by EY Insurance Consumer Research, more than 80% of customers are willing to use digital and remote contact channels (including web chat, email, mobile apps, video or phone) in place of interacting with insurers via agents or brokers. Grow — Navigating a Successful Path for Digitization.

Insurance 40

Insurance Technology Artificial Inteligence Policies 40

Altexsoft

APRIL 13, 2023

Due to extensive usage of connected IoT devices and advanced processing technologies, SCCTs not only gather data and build operational reports but also create predictions, define the impact of various macro- and microeconomic factors on the supply chain, and run “what-if” scenarios to find the best course of action.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

CIO

OCTOBER 18, 2023

German healthcare company Fresenius Medical Care, which specializes in providing kidney dialysis services, is using a combination of near real-time IoT data and clinical data to predict one of the most common complications of the procedure. CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics

Artificial Inteligence 334

Artificial Inteligence Analytics Artificial Intelligence Machine Learning 334

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

Existek

JANUARY 11, 2022

Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. The next big step in advancing Azure was introducing the container strategy, as containers and microservices took the industry to a new level.

Azure 52

Azure AWS Cloud How To 52

Altexsoft

FEBRUARY 8, 2021

The research by BI-survey showed that the main goal of 57 percent of companies that invest in BI is to enhance their sales planning and forecasting to gain a competitive advantage. Managing distribution also relies on market research as choosing the right distribution channels is vital for optimal customer reach. Cost control.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Apiumhub

APRIL 5, 2022

Presentations by some of the leading experts, researchers and practitioners in the area. M2- Data Engineering Stage: Technical track focusing on agile approaches to designing, implementing and maintaining a distributed data architecture to support a wide range of tools and frameworks in production.

Innovation 52

Innovation Data Artificial Inteligence Case Study 52

Altexsoft

FEBRUARY 22, 2022

Such an approach requires a great deal of investment since a whole ecosystem has to be created, including IoT sensors installation, acquiring specialized software, creating and maintaining machine learning (ML) models, engaging IT and data science specialists , and so on. Collecting data from connected sensors and external sources.

Software Review 52

Software Review Technical Review Software Technology 52

O'Reilly Media - Ideas

MARCH 6, 2019

Artificial Intelligence for Big Data , April 15-16. Actionable Insights in a Week: User Research for Everyone , April 23. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , March 13. Data Modelling with Qlik Sense , March 19-20. Clean Code , April 2.

Course 10

Course Artificial Inteligence Training Microservices 10

Altexsoft

OCTOBER 26, 2022

This can be anything from CRMs to AI-powered chatbots to IoT systems. Things like business knowledge, in-depth understanding of digital structures, experience in project management, and comprehensive know-how in areas such as big data, blockchain, AI, IoT, etc. Attract talent. CDO hard skills and qualifications.

CTO 52

CTO Organization Technical Review Culture 52

Altexsoft

NOVEMBER 23, 2021

But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization.

Virtualization 69

Virtualization Tools Data Architecture 69

BPM

JANUARY 18, 2019

As we move into a world that is more and more dominated by technologies such as big data, IoT, and ML, more and more processes will be started by external events. AI-enabled data engines will provide insight about what processes can be redesigned and/or automated. Jim Sinur Aragon Research [link].

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Altexsoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. For this task, you need a dedicated specialist — a data engineer or ETL developer.

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

TIBCO - Connected Intelligence

AUGUST 10, 2020

Taking action to leverage your data is a multi-step journey, outlined below: First, you have to recognize that sticking to the status quo is not an option. Your data demands, like your data itself, are outpacing your data engineering methods and teams. Third, you need to do more research.

Virtualization 69

Virtualization Data How To Data Engineering 69

Altexsoft

NOVEMBER 10, 2021

A data lake is a repository to store huge amounts of raw data in its native formats ( structured, unstructured, and semi-structured ) and in open file formats such as Apache Parquet for further big data processing, analysis, and machine learning purposes. Open formats support. websites, etc.

Architecture 52

Architecture Data Storage Machine Learning 52

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

Kentik

DECEMBER 15, 2016

IDC’s recognition of Kentik was two-fold, based not only on the fact that we’re SaaS/cloud-based (in fact, we also can deploy our big data solution on an on-premises cluster) but also on the deep capabilities of our Kentik Detect product. The rise of IoT is evidence of that, with normal/offline lifestyles becoming digitally connected.

UI/UX 40

UI/UX Innovation Big Data Network 40

Altexsoft

OCTOBER 2, 2020

If properly organized, data management minimizes data movement, helps uncover performance breakdowns, and enables users to have all the necessary information a click away. With data management in place, a company can avoid unnecessary duplications and the employees won’t do the same research or fulfill the same tasks again and again.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Apiumhub

APRIL 8, 2021

Adrian specializes in mapping the Database Management System (DBMS), Big Data and NoSQL product landscapes and opportunities. He also serves as Gartner’s lead analyst for Microsoft, coordinating Gartner’s research activities. He also manages the LinkedIn group Awesome Ways Big Data Is Used to Improve Our World.

Artificial Inteligence 109

Artificial Inteligence Technical Advisors Data Machine Learning 109

Altexsoft

DECEMBER 9, 2020

In the era of global digital transformation , the role of data analysis in decision-making increases greatly. Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. Analytics maturity model.

Analytics 102

Analytics Technical Review Technology Applications 102

Agile Engine

DECEMBER 27, 2023

From emerging trends to hiring a data consultancy, this article has everything you need to navigate the data analytics landscape in 2024. What is a data analytics consultancy? Big data consulting services 5. 4 types of data analysis 6. Data analytics use cases by industry 7. Table of contents 1.

Big Data 52

Big Data Analytics Data Analysis 52

Altexsoft

MARCH 14, 2023

That’s why some MDS tools are commercial distributions designed to be low-code or even no-code, making them accessible to data practitioners with minimal technical expertise. This means that companies don’t necessarily need a large data engineering team. Data democratization. Data sources component in a modern data stack.

Data 59

Data Technical Review Software Review Artificial Inteligence 59