Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Data 108

Data Artificial Inteligence Analytics Machine Learning 108

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

Capgemini

MAY 28, 2020

When the Capgemini Research Institute talked with manufacturers for the report Scaling AI in manufacturing operations: A practitioners’ perspective , the greatest amount of activity was in the maintenance (32%) and quality (26%) functions. The use of IoT sensors means manufacturers can access real-time data now.

Artificial Intelligence 52

Artificial Intelligence Artificial Inteligence Automotive Data Engineering 52

TIBCO - Connected Intelligence

DECEMBER 16, 2020

Imagine you’re a data engineer at a Fortune 1000 company. You use data virtualization to create data views, configure security, and share data. One: Streaming Data Virtualization. All this data is in motion. But first-generation data virtualization tools are designed for data at rest.

Virtualization 64

Virtualization Data Data Engineering Quality Assurance 64

Altexsoft

APRIL 13, 2023

The annual IHS Markit Supply Chain Survey Report found that 63 percent of companies don’t have sufficient technology to approach their top priority optimization strategy, i.e., spend analytics (the situation within other strategic areas is similar). It also often includes analytics, reporting, and forecasting capabilities.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

CTOvision

FEBRUARY 23, 2017

This is the place to dive deep into the latest on Big Data, Analytics, Artificial Intelligence, IoT, and the massive cybersecurity issues in all those topics. Data scientists. Data engineers. Researchers and academics. Data-driven designers, journalists, and anthropologists. Product managers.

Big Data 61

Big Data Artificial Intelligence Artificial Inteligence Case Study 61

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

CIO

NOVEMBER 29, 2022

Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy. For data warehouses, it can be a wide column analytical table. Data and cloud strategy must align.

Organization 274

Organization Technical Review Data Artificial Inteligence 274

Altexsoft

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

AUGUST 25, 2020

Prominent enterprises in numerous sectors including sales, marketing, research, and healthcare are actively collecting big data. That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills.

Big Data 75

Big Data Data Engineering Engineering Data 75

Agile Engine

DECEMBER 2, 2019

Rankings of this kind seem even more meaningful and important when they come from analytics firms focused on technology and software. The market analytics hub TechReviewer named AgileEngine among the leading providers of software development services. In November, AgileEngine appeared in one of the rankings of this kind.

Software 19

Software Company Blockchain Software Development 19

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT.

Azure 52

Azure AWS Cloud How To 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.

Insurance 40

Insurance Technology Artificial Inteligence Policies 40

Altexsoft

MARCH 16, 2021

In general, a data infrastructure is a system of hardware and software tools used to collect, store, transfer, prepare, analyze, and visualize data. Check our article on data engineering to get a detailed understanding of the data pipeline and its components. Big data infrastructure in a nutshell.

Big Data 116

Big Data Healthcare Applications Data 116

DataRobot

APRIL 1, 2018

Paxata was a Silver Sponsor at the recent Gartner Data and Analytics Summit in Grapevine Texas. For those of you who did not attend the summit, we have cited Gartner research as the sessions predominantly reflected the most recent Gartner published papers. 2) Line of business is taking a more active role in data projects.

Analytics 40

Analytics Artificial Inteligence Data Machine Learning 40

Altexsoft

MAY 14, 2021

And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

MARCH 31, 2020

It means you must collect transactional data and move it from the database that supports transactions to another system that can handle large volumes of data. Only after these actions can you analyze data with dedicated software (a so-called online analytical processing or OLAP system). But how do you move data?

Data 76

Data Storage Analytics Data Center 76

Apiumhub

APRIL 5, 2022

Apiumhub has become a Media partner of the Data Innovation Summit – the most influential data, AI and advanced analytics event in the Nordics and beyond. . Data Innovation Summit 2022 edition at glance. Presentations by some of the leading experts, researchers and practitioners in the area.

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

Mobilunity

DECEMBER 28, 2022

Business intelligence involves using data analysis techniques to help businesses make better decisions about their operations and strategies. Statistical data analytics. IoT development. ML and AI freelance engineers are skilled in integrating ML with industrial IoT platforms featuring predictive capabilities.

Machine Learning 52

Machine Learning Artificial Inteligence Engineering How To 52

O'Reilly Media - Ideas

MARCH 6, 2019

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. Foundational Data Science with R , March 26-27. IoT Fundamentals , April 4-5.

Course 10

Course Artificial Inteligence Training Microservices 10

Altexsoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection? It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics.

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

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. Companies will start demanding that their investments in Predictive Analytics, Machine Learning and AI show a real ROI. Jim Sinur Aragon Research [link].

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Altexsoft

OCTOBER 26, 2022

This can be anything from CRMs to AI-powered chatbots to IoT systems. In most cases, CDOs get promoted to this position from other C-Level roles within the company such as Senior Managing Director, Chief Information Officer, and Chief Data and Analytics Officer. Attract talent. are important for the CDO to do their job.

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

TIBCO - Connected Intelligence

DECEMBER 20, 2021

TIBCO Cloud Integration was identified as a “Leader” in four analyst reports, including the 2021 Gartner ® Magic Quadrant for EiPaaS , the Forrester Wave Enterprise iPaaS, Q4, 2021 , the 2021 Nucleus Research iPaaS Value Matrix , and the 2021 Aragon Research Globe Digital Business Business Platform Report.

Innovation 26

Innovation Analytics Virtualization Cloud 26

Altexsoft

SEPTEMBER 10, 2021

The pace of data being created is mind-blowing. For example, Amazon receives more than 66,000 orders per hour with each order containing valuable pieces of information for analytics. Yet, dealing with continuously growing volumes of data isn’t the only challenge businesses encounter on the way to better, faster decision-making.

Tools 52

Tools Data Software Review Technical Review 52

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

Altexsoft

NOVEMBER 10, 2021

In the paper introduced by experts from Databricks, UC Berkeley, and Stanford University at the 11th Conference on Innovative Data Systems Research (CIDR) in 2021, a lakehouse officially became a thing. Key features of a data lakehouse. Moreover, they support real-time data, e.g., streams from IoT devices.

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

Needless to say, this call-out by analysts Nolan Greene and Rohit Mehra reflects well on what we’ve been doing to advance the state of the art in areas such as DDoS protection, infrastructure visibility, performance monitoring, and peering analytics. Why Kentik? That’s cloud-washing, a phenomenon that should be approached with wariness.

UI/UX 40

UI/UX Innovation Big Data Network 40

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 102

Analytics Technical Review Technology Applications 102

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. Marcus Borba is a Big Data, analytics, and data science consultant and advisor.

Artificial Inteligence 110

Artificial Inteligence Technical Advisors Data Machine Learning 110

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.

Big Data 52

Big Data Analytics Data Analysis 52

TIBCO - Connected Intelligence

FEBRUARY 18, 2020

To democratize, collaborate, and operationalize data science and machine learning (ML) across your entire organization, you need to make data science a team sport. TIBCO can help empower everyone from data scientists and citizen data scientists to data engineers to business users to developers with flexible and extensible tools.

Artificial Inteligence 42

Artificial Inteligence Machine Learning Data Sport 42

Altexsoft

MARCH 14, 2023

It must collect, analyze, and leverage large amounts of customer data from various sources, including booking history from a CRM system, search queries tracked with Google Analytics, and social media interactions. This means that companies don’t necessarily need a large data engineering team. Data democratization.

Data 59

Data Technical Review Software Review Artificial Inteligence 59