TIBCO - Connected Intelligence

APRIL 15, 2021

Twenty percent of earnings before interest and taxes from data and analytics alone! That is an incredible contribution and a significant validation of why you should invest in data and analytics. But as every prudent investor will tell you, do your due diligence before you write your check. Due Diligence Next Steps.

Analytics 41

Analytics Development Team Review Technical Review Data 41

Apiumhub

APRIL 8, 2021

Ronald van Loon has been recognized among the top 10 global influencers in Big Data, analytics, IoT, BI, and data science. As the director of Advertisement, he works to help data-driven businesses be more successful. Kirk Borne is a Principal Data Scientist at Booz Allen Hamilton. Ronald van Loon. Carla Gentry.

Artificial Inteligence 109

Artificial Inteligence Technical Advisors Data Machine Learning 109

Hu's Place - HitachiVantara

APRIL 11, 2019

According to the Harvard Business Review , " Cross-industry studies show that on average, less than half of an organization’s structured data is actively used in making decisions—and less than 1% of its unstructured data is analyzed or used at all. That was in a report back in 2017. What has changed since then?

Data Engineering 81

Data Engineering Machine Learning Artificial Inteligence Technical Review 81

Altexsoft

MARCH 14, 2023

This development has paved the way for a suite of cloud-native data tools that are user-friendly, scalable, and affordable. Known as the Modern Data Stack (MDS) , this suite of tools and technologies has transformed how businesses approach data management and analysis. Data democratization.

Data 59

Data Technical Review Software Review Artificial Inteligence 59

Altexsoft

AUGUST 22, 2022

Gartner claims that there is such a solution capable of enabling companies to have advanced, flexible, and reusable data management across all environments. The solution is called a data fabric. to provide a unified view of all enterprise data. Some of the tech companies pioneering the data fabric initiative are.

Architecture 52

Architecture Artificial Inteligence Technical Review Data 52

Altexsoft

MARCH 16, 2021

Check our article on data engineering to get a detailed understanding of the data pipeline and its components. Big data infrastructure in a nutshell. To deliver valuable, applicable knowledge, data has to go through the following stages of a data pipeline: Big data sources continuously generate raw, real-world data.

Big Data 116

Big Data Healthcare Applications Data 116

Cloudera

DECEMBER 20, 2022

This is due to an improvement in plant uptime, supported by predictive maintenance applications, coupled with optimization of the fuel consumption that powers these plants, as well as fine-grained performance monitoring that eliminates over-production. . That’s where data comes in.

Energy 81

Energy Analytics Data Machine Learning 81

Altexsoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Cloud-based spending will reach 60% of all IT infrastructure and 60-70% of all software, services, and technology spending by 2020. In 2019, CIOs will have to optimize applications of the newest cloud technology in response to their requirements.

Cloud 78

Cloud Google Cloud Azure AWS 78

Confluent

JUNE 7, 2019

The Confluent Platform is an amazing toolbox, which every architect and data engineer should know of and utilize. Why does on-chain data matter? Any event, from IoT-supported delivery, trade, real estate transfer, to a bet in a prediction market is timestamped, censorship-resistant, and provable.

Blockchain 90

Blockchain Data Technical Review Software Review 90

Altexsoft

DECEMBER 4, 2020

Businesses can no longer count on using the same technologies for decades. So data migration is an unavoidable challenge each company faces once in a while. Transferring data from one computer environment to another is a time-consuming, multi-step process involving such activities as planning, data profiling, testing, to name a few.

Software Review 69

Software Review Software Data Technical Review 69

Altexsoft

OCTOBER 2, 2020

Key disciplines and roles in data management. Data architecture: aligning technologies with business goals. Specialist responsible for the area: data architect. Data architecture is a starting point for any data management model. Database administration: maintaining data availability.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

NOVEMBER 10, 2021

Let’s elaborate on this and figure out how a data lakehouse is different from its ancestors and name inspirers in more detail. Data warehouse vs data lake vs data lakehouse: What’s the difference. Data warehouse. Poor data quality, reliability, and integrity. Issues with data security and governance.

Architecture 52

Architecture Data Storage Machine Learning 52

Existek

JANUARY 11, 2022

Governments . Game tech – Epic Games, PlayStation. Governments. For example, they considerably revised the cloud strategy due to the need to transform the delivery model from PaaS to IaaS, thus renaming Windows Azure to Microsoft Azure in 2014. . Data and analytics. Security and governance.

Azure 52

Azure AWS Cloud How To 52

Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. Much less often the technology is mentioned in terms of deployment. Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. Data validation. Data preparation.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145